Baidu Research

On the Overlooked Structure of Stochastic Gradients

NeurIPS 2023

Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li

Machine Learning and Deep Learning
AGDF-Net: Learning Domain Generalizable Depth Features with Adaptive Guidance Fusion

IEEE Transactions on Pattern Analysis and Machine Intelligence 2023

Lina Liu, Xibin Song, Mengmeng Wang, Yuchao Dai, Yong Liu, Liangjun Zhang

Computer Vision
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification

The 5th Clinical Natural Language Processing Workshop

Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, and Haoyi Xiong

Data Science and Data Mining
Context Matters: Cross-domain Cell Detection in Histopathology Images via Contextual Regularization

27th Conference on Medical Image Understanding and Analysis

Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, and Haoyi Xiong

Machine Learning and Deep Learning
Overcoming Catastrophic Forgetting for Fine-tuning Pre-trained GANs

The 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Zeren Zhang, Xingjian Li, Tianyang Wang, Tao Hong, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu

Machine Learning and Deep Learning
LtrGCN: Large-Scale Graph Convolutional Networks-based Learning to Rank for Web Search

The 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, and Dawei Yin

Machine Learning and Deep Learning
AA-Forecast: Anomaly-Aware Forecast for Extreme Events

Data Mining and Knowledge Discovery

Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, and Zhishan Guo

Data Science and Data Mining
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network

IEEE Transactions on Knowledge and Data Engineering

Jindong Han, Hao Liu, Haoyi Xiong, and Jing Yang

Data Science and Data Mining
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples

ICDM 2023

Xuhong Li (Baidu), Xuanyu Wu (Baidu), Linghe Kong(SJTU), Xiao Zhang(Tsinghua), Siyu Huang (Clemeson), Dejing Dou (Baidu), and Haoyi Xiong (Baidu)

Machine Learning and Deep Learning
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale

ICDM 2023 (Best Student Paper Award)

Yuchen Li (SJTU), Haoyi Xiong (Baidu), Linghe Kong (SJTU), Zeyi Sun (Zhejiang Lab), Hongyang Chen (Zhejiang Lab), Shuaiqiang Wang (SJTU), and Dawei Yin (SJTU)

Machine Learning and Deep Learning
AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing

IEEE Transactions on Mobile Computing

Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, and Dejing Dou

Data Science and Data Mining
P2ANet: Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos

ACM Transactions on Multimedia Computing Communications and Applications

Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, and Haoyi Xiong

Machine Learning and Deep Learning
MOOCs Recommender Service with Meta Hierarchical Reinforced Ranking

IEEE Transactions on Services Computing

Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Fangqin Xu, Guihai Chen, Minglu Li

Machine Learning and Deep Learning
Stochastic Gradient Descent with Random Label Noises: Doubly Stochastic Models and Inference Stabilizer

Machine Learning: Science and Technology

Haoyi Xiong, Xuhong Li, Dongrui Wu, Zhanxing Zhu, and Dejing Dou

Machine Learning and Deep Learning
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach

Big data 2023

Wen Huang(University of Arkansas),Jingbo Zhou(Baidu),Xintao Wu(University of Arkansas), and Dejing Dou(BCG X)

Data Science and Data Mining
A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation

EMNLP 2023

Xi Chen(University of Science and Technology of China), Xinjiang Lu(Baidu), Haoran Xin(Hong Kong University of Science and Technology(Guangzhou)), Wenjun Peng(University of Science and Technology of China), Haoyang Duan(University of Science and Technology of China), Feihu Jiang(University of Science and Technology of China), Jingbo Zhou(Baidu), Hui Xiong(Hong Kong University of Science and Technology(Guangzhou))

Natural Language and Speech
A Scalable Open-Source System for Segmenting Urban Areas with Road Networks

WSDM 2024

Ming Zhang,Yanyan Li,Jianguo Duan,Jizhou Huang,Jingbo Zhou

Data Science and Data Mining
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-modal Recurrent Graph Auto-Encoder

AAAI 2024

Qiang Zhou(Nanjing University Of Aeronautics And Astronautics),xinjiang Lu(Baidu),Jingjing Gu(Nanjing University Of Aeronautics And Astronautics),Zhe Zheng(Nanjing University Of Aeronautics And Astronautics),Bo Jin(Dalian University of Technology),Jingbo Zhou(Baidu)

Data Science and Data Mining
Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning

Communications Medicine 2024

Yaqing Wang(Baidu),Zaifei Yang(Baidu,Chinese Academy of Sciences),Quanming Yao(Tsinghua University)

Computational Biology and Bioinformatics
Quantum chip design optimization and automation in superconducting coupler architecture

QST 2023

Fei-Yu Li and Li-Jing Jin

Quantum Computing
Near-term Efficient Quantum Algorithms for Entanglement Analysis

PR Applied 2023

Ranyiliu Chen, Benchi Zhao, Xin Wang

Quantum Computing
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores

IROS 2023

Shukai Liu, Chenming Wu, Ying Li, and Liangjun Zhang

Robotics and Autonomous Driving
MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation

IROS 2023

Chenming Wu, Jiadai Sun, Zhelun Shen, and Liangjun Zhang

Robotics and Autonomous Driving
Digging into Depth Priors for Outdoor Neural Radiance Fields

ACMMM 2023

Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang

Robotics and Autonomous Driving
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching

TPAMI 2023

Zhelun Shen,Xibin Song,Yuchao Dai,Dingfu Zhou,Zhibo Rao,Liangjun Zhang

Robotics and Autonomous Driving
GLARE: A Dataset for Traffic Sign Detection in Sun Glare

Transactions on Intelligent Transportation Systems (TITS)

Nicholas Gray, Megan Moraes, Jiang Bian, Allen Tian, Alex Wang, Haoyi Xiong, and Zhishan Guo

Machine Learning and Deep Learning
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search

Machine Learning (MLJ for DSAA 2023 Journal Track)

Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen and Dawei Yin

Machine Learning and Deep Learning
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios

Transactions on Machine Learning Research

Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, and Antoni B

Machine Learning and Deep Learning
GIANT: Protein-Ligand Binding Affinity Prediction via Geometry-aware Interactive Graph Neural Network

TKDE

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong

Machine Learning and Deep Learning
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction

ICCV2023

Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang

Machine Learning and Deep Learning
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models

NeurIPS 2023 Track Benchmark and Datasets

Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong

Machine Learning and Deep Learning
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation

KDD 2023

Xuewu Jiao,Weibin Li,Xinxuan Wu,Wei Hu,Miao Li,Jiang Bian,Siming Dai,Xinsheng Luo,Mingqing Hu,Zhengjie Huang,Danlei Feng,Junchao Yang,Shikun Feng,Haoyi Xiong,Dianhai Yu,Shuanglong Li,Jingzhou He,Yanjun Ma,Lin Liu(Baidu)

Machine Learning and Deep Learning
Towards Inadequately Pre-trained Models in Transfer Learning

ICCV2023

Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong and Chengzhong

Machine Learning and Deep Learning
An Efficient Transfer Learning Assisted Global Optimization Scheme for Analog/RF Circuits

ASP-DAC 2024

Zhikai Wang (Tsinghua), Jingbo Zhou (Baidu), Xiaosen Liu (Tsinghua), Yan Wang(Tsinghua)

Data Science and Data Mining
A Multi-level Attentive Embedding Framework for Proposal Teamwork Analysis in Voting-oriented System

APWeb 2023

Rui Zha(USTC),Ding Zhou(USTC),Le Zhang(Baidu),Tong Xu(USTC)

Data Science and Data Mining
Quantum NETwork: from theory to practice

SCIENCE CHINA Information Sciences 2023

Kun Fang, Jingtian Zhao, Xiufan Li, Yifei Li, Runyao Duan

Quantum Computing
Bound distillable entanglement and quantum capacity by squeezing useless entanglement

BIID 2023

Chengkai Zhu, Chenghong Zhu, Xin Wang

Quantum Computing
Information recoverability of noisy quantum states

Quantum 2023

Xuanqiang Zhao, Benchi Zhao, Zihan Xia, Xin Wang

Quantum Computing
Mitigating Quantum Errors via Truncated Neumann Series

SCIENCE CHINA Information Sciences 2023

Kun Wang, Yu-Ao Chen, Xin Wang

Quantum Computing
Bounding the forward classical capacity of bipartite quantum channels

IEEE Transactions on Information Theory 2023

Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W Shor, Xin Wang, Mark M Wilde

Quantum Computing
Upper Bounds on the Distillable Randomness of Bipartite Quantum States

IEEE Information Theory Workshop 2023

Ludovico Lami, Bartosz Regula, Xin Wang, Mark M. Wilde

Quantum Computing
Quantum algorithms for estimating quantum entropies

Phys. Rev. Applied 2023

Youle Wang, Benchi Zhao, and Xin Wang

Quantum Computing
Lower Bound for the T Count Via Unitary Stabilizer Nullity

Phys. Rev. Applied 2023

Jiaqing Jiang and Xin Wang

Quantum Computing
Optimal Quantum Dataset for Learning a Unitary Transformation

Phys. Rev. Applied 2023

Zhan Yu, Xuanqiang Zhao, Benchi Zhao, and Xin Wang

Quantum Computing
Exact entanglement cost of quantum states and channels under positive-partial-transpose-preserving operations

PRA 2023

Xin Wang and Mark M. Wilde

Quantum Computing
Actively Supervised Clustering for Open Relation Extraction

ACL 2023

Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng and Mingming Sun

Natural Language and Speech
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

ACL 2023

Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng and Mingming Sun

Natural Language and Speech
Connectivity Patterns are Task Embeddings

ACL 2023

Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang and Tao Gui

Natural Language and Speech
NormNet: Normalize Noun Phrases for More Robust NLP

ACL 2023

Minlong Peng, Mingming Sun

Natural Language and Speech
MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules

WWW 2023

Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun

Machine Learning and Deep Learning
Improved Convergence of Differential Private SGD with Gradient Clipping

ICLR 2023

Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li

Machine Learning and Deep Learning
Dataset Pruning: Reducing Training Data by Examining Generalization Influence

ICLR 2023

Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li

Machine Learning and Deep Learning
VINet: Visual and Inertial-based Terrain Classification and Adaptive Navigation over Unknown Terrain

ICRA 2023

Tianrui Guan, Ruitao SONG, Zhixian Ye, Liangjun Zhang

Robotics and Autonomous Driving
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles

ICRA 2023

Haolan Liu, Jishen Zhao, Liangjun Zhang

Robotics and Autonomous Driving
FloorplanNet: Learning Topometric Floorplan Matching for Robot Localization

ICRA 2023

Delin Feng, Zhenpeng He, Jiawei Hou, Sören Schwertfeger, Liangjun Zhang

Robotics and Autonomous Driving
A Novel Tensor Learning Model for Joint Relational Triplet Extraction

TCYB 2023

Zhen Wang, Hongyi Nie, Wei Zheng, Yaqing Wang, Xuelong Li

Business Intelligence
Multi-Temporal Relationship Inference in Urban Areas

KDD 2023

Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong

Business Intelligence
Spatial Heterophily Aware Graph Neural Networks

KDD 2023

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong

Business Intelligence
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

KDD 2023

Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li

Business Intelligence
Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections

KDD 2023

Qian Sun, Le Zhang, Huan Yu, Weijia ZHANG, Yu Mei, Hui Xiong

Business Intelligence
S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data

KDD 2023

Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, and Dawei Yin.

Machine Learning and Deep Learning
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising

CVPR 2023

ZiChun Wang, Ying Fu, Ji Liu, Yulun Zhang

Machine Learning and Deep Learning
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

CVPR 2023

Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou

Machine Learning and Deep Learning
Quality-Aware Self-Training on Differentiable Synthesis of Rare

AAAI 2023

Chongsheng Zhang; Yaxin Hou; Ke Chen; Shuang Cao; Gaojuan Fan; Ji Liu

Machine Learning and Deep Learning
Beyond Intuition: Rethinking Token Attributions inside Transformers

TMLR 2023

Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong

Machine Learning and Deep Learning
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning

TMLR 2023

Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

Machine Learning and Deep Learning
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning

TPDS 2023

Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

Machine Learning and Deep Learning
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks using Global Priors

Artificial Intelligence 2023

Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

Machine Learning and Deep Learning
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

TMM 2023

Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong

Machine Learning and Deep Learning
Towards Long-Term Time-Series Forecasting: Feature, Pattern and Distribution

ICDE 2023

Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou

Business Intelligence
Sliding space-disparity transformer for stereo matching

Neural Computing and Applications(2022)

Zhibo Rao, Mingyi He, Yuchao Dai, Zhelun Shen

Robotics and Autonomous Driving
Construction site safety monitoring and excavator activity analysis system

Construction Robotics(2022)

Sibo Zhang, Liangjun Zhang

Robotics and Autonomous Driving
Rec2Real: Semantics-Guided Photo-Realistic Image Synthesis Using Rough Urban Reconstruction Models

Computer Graphics International (2022)

Hui Miao, Feixiang Lu, Tiancheng Xu, Liangjun Zhang, Bin Zhou

Robotics and Autonomous Driving
A Generalized Continuous Collision Detection Framework of Polynomial Trajectory for Mobile Robots in Cluttered Environments

RAL/IROS 2022

Zeqing Zhang, Yinqiang Zhang, Ruihua Han, Liangjun Zhang, Jia Pan

Robotics and Autonomous Driving
Excavation of Fragmented Rocks with Multi-modal Model-based Reinforcement Learning

IROS 2022

Yifan Zhu, Liyang Wang, Liangjun Zhang

Robotics and Autonomous Driving
Imitation Learning and Model Integrated Excavator Trajectory Planning

IROS 2022

Guo Qiangqiang, Ye Zhixian, Wang Liyang, Zhang Liangjun

Robotics and Autonomous Driving
DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization

Sensors 2022

Mingle Zhao, Dingfu Zhou, Xibin Song, Xiuwan Chen, Liangjun Zhang

Robotics and Autonomous Driving
Excavation Reinforcement Learning Using Geometric Representation

IEEE RA-L/ICRA 2022

Qingkai Lu,Yifan Zhu, Liangjun Zhang

Robotics and Autonomous Driving
Text2Video: Text-driven Talking-head Video Synthesis with Personalized Phoneme - Pose Dictionary

IEEE ICASSP 2022

Sibo Zhang, Jiahong Yuan, Miao Liao, Liangjun Zhang

Robotics and Autonomous Driving
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC

American Control Conference(2022)

Ruitao Song, Zhixian Ye, Liyang Wang, Tianyi He, Liangjun Zhang

Robotics and Autonomous Driving
Semi-supervised 3D Object Detection with Proficient Teachers

ECCV 2022

Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang

Robotics and Autonomous Driving
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection

ECCV 2022

Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang

Robotics and Autonomous Driving
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

ECCV 2022

Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang

Robotics and Autonomous Driving
WSAMF-Net: Wavelet Spatial Attention based Multi-stream Feedback Network for Single Image Dehazing

IEEE Transactions on Circuits and Systems for Video Technology(2022)

Xibin Song, Dingfu Zhou,Wei Li, Haodong Ding, Yuchao Dai, Liangjun Zhang

Robotics and Autonomous Driving
Context-aware 3D Object Detection from a Single Image in Autonomous Driving

IEEE Transactions on Intelligent Transportation Systems(2022)

Dingfu Zhou, Xibin Song, Jin Fang, Yuchao Dai, Hongdong Li, Liangjun Zhang

Robotics and Autonomous Driving
Real-time Volume Estimation of Mass in Excavator Bucket with LiDAR Data

ISARC 2021

Haodong Ding, Xibin Song, Zhenpeng He, Liangjun Zhang

Robotics and Autonomous Driving
Image Dedusting with Deep Learning based Closed-Loop Network

ISARC 2021

Xibin Song, Liangjun Zhang, Dingfu Zhou, Jin Fang

Robotics and Autonomous Driving
Hierarchical Planning for Autonomous Excavator on Material Loading Tasks

ISARC 2021

Liyang Wang, Zhixian Ye, Liangjun Zhang

Robotics and Autonomous Driving
Vision-based Excavator Activity Analysis and Safety Monitoring System

ISARC 2021

Sibo Zhang, Liangjun Zhang

Robotics and Autonomous Driving
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

ICCV 2021

Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang

Robotics and Autonomous Driving
Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVIS

ICCV 2021

Hui Miao, Feixiang Lu, Zongdai Liu, Liangjun Zhang, Dinesh Manocha, Bin Zhou

Robotics and Autonomous Driving
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

ICCV 2021

Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang and Liangjun Zhang

Robotics and Autonomous Driving
MapFusion: A General Framework for 3D Object Detection with HDMaps

International Conference on Intelligent Robots and Systems(2021)

Jin Fang, Dingfu Zhou, Xibin Song, Liangjun Zhang

Robotics and Autonomous Driving
Excavation Learning for Rigid Objects in Clutter

RAL/IROS 2021

Qingkai Lu, Liangjun Zhang

Robotics and Autonomous Driving
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection

IEEE International Conference on Intelligent Transportation(2021)

Shaoqing Xu, Dingfu Zhou , Jin Fang, Junbo Yin, Bin Zhou, Liangjun Zhang

Robotics and Autonomous Driving
WAFP-Net: Weighted Attention Fusion based Progressive Residual Learning for Depth Map Super-resolution

IEEE Transactions on Multimedia(2021)

Xibin Song, Dingfu Zhou, Wei Li, Yuchao Dai, Liu Liu, Hongdong Li, Ruigang Yang, Liangjun Zhang

Robotics and Autonomous Driving
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction

IEEE Intelligent Vehicles Symposium (2021)

Jinxin Zhao, Jin Fang, Zhixian Ye, Liangjun Zhang

Robotics and Autonomous Driving
MLDA-Net: Multi-level Dual Attention based Network for Self-supervised Monocular Depth Estimation

IEEE TIP 2021

Xibin Song, Wei Li, Dingfu Zhou, Yuchao Dai, Jin Fang, Hongdong Li, Liangjun Zhang

Robotics and Autonomous Driving
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

IEEE S&P 2021

Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang,Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li

Robotics and Autonomous Driving
Part-level Car Parsing and Reconstruction in Single Street View Images

IEEE TPAMI 2021

Qichuan Geng, Hong Zhang, Feixiang Lu, Xinyu Huang, Sen Wang, Zhong Zhou, Ruigang Yang

Robotics and Autonomous Driving
LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection

CVPR 2021

Jin Fang, Zuozuo Xin, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang

Robotics and Autonomous Driving
TaskNet: A Neural Task Planner for Autonomous Excavator

ICRA 2021

Jinxin Zhao, Liangjun Zhang

Robotics and Autonomous Driving
Optimization-Based Framework for Excavation Trajectory Generation

ICRA/RAL 2021

Yajue Yang, Pinxin Long, Jia Pan, Xibin Song, Liangjun Zhang

Robotics and Autonomous Driving
Gated Path Selection Network for Semantic Segmentation

IEEE TIP 2021

Qichuan Geng, Hong Zhang, Xiaojuan Qi, Gao Huang, Ruigang Yang, Zhong Zhou

Robotics and Autonomous Driving
NavDog: Robotic Navigation Guide Dog via Model Predictive Control and Human-Robot Modeling

SAC/IRMAS 2021

Liyang Wang, Jinxin Zhao, Liangjun Zhang

Robotics and Autonomous Driving
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion

AAAI 2021

Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang

Robotics and Autonomous Driving
An autonomous excavator system for material loading tasks

Science Robotics(2021)

Liangjun Zhang, Jinxin Zhao, Pinxin Long, Liyang Wang, Lingfeng Qian, Feixiang Lu, Xibin Song, Dinesh Manocha

Robotics and Autonomous Driving
ERNIE 3.0 TITAN: EXPLORING LARGER-SCALE KNOWLEDGE ENHANCED PRE-TRAINING FOR LANGUAGE UNDERSTANDING AND GENERATION

Shuohuan Wang，Yu Sun，Yang Xiang，Zhihua Wu，Siyu Ding; Weibao Gong，Shikun Feng，Junyuan Shang，Yanbin Zhao，Chao Pang，Jiaxiang Liu; Xuyi Chen，Yuxiang Lu，Weixin Liu，Xi Wang，Yangfan Bai，Qiuliang Chen; Li Zhao，Shiyong Li，Peng Sun，Dianhai Yu，Yanjun Ma，Hao Tian; Hua Wu，Tian Wu，Wei Zeng，Ge Li， Wen Gao，Haifeng Wang
Towards Better Generalization of Adaptive Gradient Methods

Neural Information Processing Systems (NeurIPS) 2020

Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li

Machine Learning and Deep Learning
Ratio Trace Formulation of Wasserstein Discriminant Analysis

Neural Information Processing Systems (NeurIPS) 2020

Hexuan Liu, Yunfeng Cai, You-Lin Chen, Ping Li

Machine Learning and Deep Learning
Thunder: a Fast Coordinate Selection Solver for Sparse Learning

Neural Information Processing Systems (NeurIPS) 2020

Shaogang Ren, Weijie Zhao, Ping Li

Machine Learning and Deep Learning
Optimal Prediction of the Number of Unseen Species with Multiplicity

Neural Information Processing Systems (NeurIPS) 2020

Yi Hao, Ping Li

Machine Learning and Deep Learning
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond

Journal of Machine Learning Research (JMLR) 2020

Xiao-Tong Yuan, Ping Li

Machine Learning and Deep Learning
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data

Journal of Machine Learning Research (JMLR) 2020

Martin Slawski, Emanuel Ben-David, Ping Li

Machine Learning and Deep Learning
Combo-Attention Network for Baidu Video Advertising

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020

Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, Ping Li

Data Science and Data Mining
SONG: Approximate Nearest Neighbor Search on GPU

IEEE International Conference on Data Engineering (ICDE) 2020

Weijie Zhao, Shulong Tan and Ping Li

Data Science and Data Mining
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts

Annual Meeting of the Association for Computational Linguistics (ACL) 2020

Jingyuan Zhang, Mingming Sun, Yue Feng, Ping Li

Natural Language and Speech
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning

Annual Meeting of the Association for Computational Linguistics (ACL) 2020

Hongliang Fei, Ping Li

Natural Language and Speech
Toward Faster and Simpler Matrix Normalization via Rank-1 Update

European Conference on Computer Vision (ECCV) 2020

Tan Yu, Yunfeng Cai, and Ping Li

Computer Vision
Optimal Estimator for Unlabeled Linear Regression

International Conference on Machine Learning (ICML) 2020

Hang Zhang, Ping Li

Machine Learning and Deep Learning
Bessel Smoothing and Multi-Distribution Property Estimation

Conference on Learning Theory (COLT) 2020

Yi Hao, Ping Li

Machine Learning and Deep Learning
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding

Conference on Learning Theory (COLT) 2020

Xiao-Tong Yuan, Ping Li

Machine Learning and Deep Learning
Two-Phase Scheduling for Efficient Vehicle Sharing

IEEE Transactions on Intelligent Transportation Systems (TITS) 2020

Ji Liu, Carlyna Bondiombouy, Lei Mo, Patrick Valduriez

Data Science and Data Mining,Business Intelligence
DVI: Depth Guided Video Inpainting for Autonomous Driving

The European Conference on Computer Vision (ECCV) 2020

Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, and Ruigang Yang

Robotics and Autonomous Driving
Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Navigation in Complex Scenarios

International Journal of Robotics Research (IJRR) 2020

Tingxiang Fan*, Pinxin Long*, Wenxi Liu, Jia Pan

Robotics and Autonomous Driving
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

IEEE conference on computer vision and pattern recognition (CVPR) 2020

Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang

Robotics and Autonomous Driving
Neural Message Passing and Attentive Spatiotemporal Transformer for Point Cloud Based 3D Video Object Detection

IEEE conference on computer vision and pattern recognition (CVPR) 2020

Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou , Ruigang Yang

Robotics and Autonomous Driving
A Unified Tracking and Affinity Model for Efficient Online Multi-object Tracking

IEEE conference on computer vision and pattern recognition (CVPR) 2020

Junbo Yin, Wenguan Wang, Qinghao Meng, Jianbing Shen, Ruigang Yang

Robotics and Autonomous Driving
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving

IEEE conference on computer vision and pattern recognition (CVPR) 2020

Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li,Ruigang Yang

Robotics and Autonomous Driving
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

IEEE conference on computer vision and pattern recognition (CVPR) 2020

Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Xun Cao, Ruigang Yang

Robotics and Autonomous Driving
3D Part Guided Image Editing for Fine-grained Object Understanding

IEEE conference on computer vision and pattern recognition (CVPR) 2020

Zongdai Liu*, Feixiang Lu*, Peng Wang, Hui Miao, Liangjun Zhang, Ruigang Yang, and Bin Zhou

Robotics and Autonomous Driving
Omnidirectional Depth Extension Networks

International Conference on Robotics and Automation（ICRA）2020

Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang

Robotics and Autonomous Driving
Learning Resilient Behaviors for Navigation Under Uncertainty

International Conference on Robotics and Automation（ICRA）2020

Tingxiang Fan, Pinxin Long, Wenxi Liu, Jia Pan, Ruigang Yang, and Dinesh Manocha

Robotics and Autonomous Driving
Instance Segmentation of LiDAR Point Clouds

International Conference on Robotics and Automation（ICRA） 2020

Feihu Zhang, Chenye Guan, Jin Fang, Song Bai, Ruigang Yang, Philip Torr, Victor Prisacariu

Robotics and Autonomous Driving
Augmented LiDAR Simulator for Autonomous Driving

IEEE Robotics and Automation Letters （RAL） & International Conference on Robotics and Automation（ICRA）2020

Jin Fang, Dingfu Zhou, Feilong Yan, Tongtong Zhao, Feihu Zhang, Yu Ma, Liang Wang, Ruigang Yang

Robotics and Autonomous Driving
AutoRemover: Automatic Object Removal for Autonomous Driving Videos

AAAI Conference on Artificial Intelligence 2020

Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Yang Ruigang

Robotics and Autonomous Driving
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion

AAAI Conference on Artificial Intelligence 2020

Xinjing Cheng, Peng Wang, Chenye Guan and Ruigang Yang

Robotics and Autonomous Driving
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for autonomous driving

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang

Robotics and Autonomous Driving
Inverse Reinforcement Learning with ModelPredictive Control

NeurIPS: Machine Learning for Autonomous Driving Workshop 2019

Jinxin Zhao, Liangjun Zhang

Robotics and Autonomous Driving
CPG Control for Harmonic Motion of Assistive Robot With Human Motor Control Identification

IEEE Transactions on Control Systems Technology 2019

Jinxin Zhao, Tetsuya Iwasaki

Robotics and Autonomous Driving
Compact Reachability Map for Excavator Motion Planning

IROS 2019

Yajue Yang, Liangjun Zhang, Xinjing Cheng, Jia Pan and Ruigang Yang

Robotics and Autonomous Driving
Safe Navigation With Human Instructions in Complex Scenes

IEEE 2019

Zhe Hu, Jia Pan, Tingxiang Fan, Ruigang Yang, Dinesh Manocha

Robotics and Autonomous Driving
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds

RAL 2019 & ICRA 2019

Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha

Robotics and Autonomous Driving
Implicit Semantic Data Augmentation for Deep Networks

NIPS 2019

Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang

Computer Vision
Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry

IEEE 2019

Dingfu Zhou Yuchao Dai and Hongdong Li

Robotics and Autonomous Driving
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization

IEEE 2019

Jiaping Ren, Wei Xiang, Yangxi Xiao, Ruigang Yang, Dinesh Manocha, Xiaogang Jin

Robotics and Autonomous Driving
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

AAAI 2019

Yuexin Ma， Xinge Zhu， Sibo Zhang, Ruigang Yang, Wenping Wang, Dinesh Manocha

Robotics and Autonomous Driving
The ApolloScape Open Dataset for Autonomous Driving and its Application

IEEE 2019

Peng Wang, Xinyu Huang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang

Robotics and Autonomous Driving
Inferring Salient Objects from Human Fixations

IEEE 2019

Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji, Ruigang Yang

Computer Vision
Learning Depth with Convolutional Spatial Propagation Network

IEEE 2019

Xinjing Cheng, Peng Wang, Ruigang Yang

Robotics and Autonomous Driving
Improved Techniques for Training Adaptive Deep Networks

ICCV 2019

Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang

Computer Vision
IoU Loss for 2D/3D Object Detection

3DV 2019

Dingfu zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai and Ruigang Yang

Robotics and Autonomous Driving
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

CVPR 2019

Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao and Ruigang Yang

Computer Vision
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

CVPR 2019

Feihu Zhang, Victor Adrian Prisacariu, Ruigang Yang and Philip H.S. Torr

Computer Vision
UnOS: Unified Unsupervised Optical-flow and Stereo-depth Estimation by Watching Videos

CVPR 2019

Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, and Wei Xu

Computer Vision
AADS: Augmented autonomous driving simulation using data-driven algorithms

SCIENCE ROBOTICS 2019

Wei Li, Chengwei Pan, Rong Zhang, Jiaping Ren, Yuexin Ma, Jin Fang, Feilong Yan, Qichuan Geng, Xinyu Huang, Huajun Gong, Weiwei Xu, Guoping Wang, Dinesh Manocha, RuigangYang

Robotics and Autonomous Driving
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

MLSYS 2020

Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li

High Performance Computing
Methods for Sparse and Low-Rank Recovery under Simplex Constraints

Statistica Sinica 2020

Ping Li, Syama Sundar Rangapuram and Martin Slawski

Machine Learning and Deep Learning
Improved Touch-screen Inputting Using Sequence-level Prediction Generation

WWW 2020

Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, Ping Li

Data Science and Data Mining
Extracting Knowledge from Web Text with Monte Carlo Tree Search

WWW 2020

Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li

Natural Language and Speech
Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection

WWW 2020

Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li

Machine Learning and Deep Learning
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation

AAAI 2020

Xiaoyun Li, Chengxi Wu, and Ping Li

Machine Learning and Deep Learning
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation

AAAI 2020

Haiyan Yin, Dingcheng Li, Xu Li, and Ping Li

Natural Language and Speech
Distributed Primal-Dual Optimization for Online Multi-Task Learning

AAAI 2020

Peng Yang and Ping Li

Machine Learning and Deep Learning
An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction

SDM 2020

Guiliang Liu, Xu Li, Miningming Sun, Ping Li

Natural Language and Speech
Fast Item Ranking under Neural Network based Measures

WSDM 2020

Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li

Data Science and Data Mining
Rate optimal Chernoff bound and application to community detection in the stochastic block models

Electronic Journal of Statistics 2020

Zhixin Zhou, Ping Li

Machine Learning and Deep Learning
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations

AISTATS 2020

Yunfeng Cai, Ping Li

Machine Learning and Deep Learning
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem

AISTATS 2020

Yunfeng Cai, Ping Li

Machine Learning and Deep Learning
Contrastive Adaptation Network for Unsupervised Domain Adaptation

CVPR 2019

Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann

Computer Vision
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

CVPR 2019

Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang

Computer Vision
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

CVPR 2019

Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang

Computer Vision
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

CVPR 2019

Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang

Computer Vision
Searching for A Robust Neural Architecture in Four GPU Hours

CVPR 2019

Xuanyi Dong, Yi Yang

Computer Vision
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation

CVPR 2019

Fengda Zhu, Linchao Zhu, Yi Yang

Computer Vision
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

CVPR 2019

Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang

Computer Vision
Attract or Distract: Exploit the Margin of Open Set

ICCV 2019

Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang

Computer Vision
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification

ICCV 2019

Ruijie Quan, Xuanyi Dong, Yu Wu, Linchao Zhu, Yi Yang

Computer Vision
Discriminative Feature Transformation for Occluded Pedestrian Detection

ICCV 2019

Chunluan Zhou, Ming Yang, Junsong Yuan

Computer Vision
Dual Attention Matching for Audio-Visual Event Localization

ICCV 2019

Yu Wu, Linchao Zhu, Yan Yan, Yi Yang

Computer Vision
One-Shot Neural Architecture Search via Self-Evaluated Template Network

ICCV 2019

Xuanyi Dong, Yi Yang

Computer Vision
Pose-Guided Feature Alignment for Occluded Person Re-Identification

ICCV 2019

Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, Yi Yang

Computer Vision
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection

ICCV 2019

Xuanyi Dong, Yi Yang

Computer Vision
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

ICLR 2019

Yanbin Liu , Juho Lee , Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang

Computer Vision
Generalized Majorization-Minimization for Non-Convex Optimization

IJCAI 2019

Hu Zhang , Pan Zhou , Yi Yang, Jiashi Feng

Computer Vision
Video Interactive Captioning with Human Prompts

IJCAI 2019

Aming Wu, Yahong Han, Yi Yang

Computer Vision
Network Pruning via Transformable Architecture Search

NeurIPS

Xuanyi Dong, Yi Yang

Computer Vision
AIBox: CTR Prediction Model Training on a Single Node

CIKM 2019

Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li

High Performance Computing
Re-randomized Densification for One Permutation Hashing and Bin-wise ConsistentWeighted Sampling

NeurIPS 2019

Ping Li, Xiaoyun Li and Cun-Hui Zhang

Machine Learning and Deep Learning
Möbius Transformation for Fast Inner Product Search on Graph

NeurIPS 2019

Zhixin Zhou, Shulong Tan, Zhaozhuo Xu and Ping Li

Data Science and Data Mining
Random Projections with Asymmetric Quantization

NeurIPS 2019

Xiaoyun Li and Ping Li

Data Science and Data Mining
Generalization Error Analysis of Quantized Compressive Learning

NeurIPS 2019

Xiaoyun Li and Ping Li

Machine Learning and Deep Learning
Outlier Detection and Robust PCA Using a Convex Measure of Innovation

NeurIPS 2019

Mostafa Rahmani and Ping Li

Machine Learning and Deep Learning
Towards Practical Alternating Least-Squares for CCA

NeurIPS 2019

Zhiqiang Xu and Ping Li

Machine Learning and Deep Learning
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews

EMNLP 2019

Miao Fan, Chao Feng, Mingming Sun, Ping Li

Natural Language and Speech
On Efficient Retrieval of Top Similarity Vectors

EMNLP 2019

Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li

Data Science and Data Mining
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing

ISIT 2019

Hang Zhang, Martin Slawski, and Ping Li

Machine Learning and Deep Learning
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction

KDD 2019

Hongliang Fei, Shulong Tan, Ping Li

Data Science and Data Mining
Coreference Aware Representation Learning for Neural Named Entity Recognition

IJCAI 2019

Zeyu Dai , Hongliang Fei and Ping Li

Natural Language and Speech
End-to-end Deep Reinforcement Learning Based Coreference Resolution

ACL 2019

Hongliang Fei, Xu Li, Dingcheng Li, Ping Li

Natural Language and Speech
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels

UAI 2019

Martin Slawski, Mostafa Rahmani, Ping Li

Machine Learning and Deep Learning
Several Tunable GMM Kernels

arXiv

Ping Li

Machine Learning and Deep Learning
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu’s Sponsored Search

KDD 2019

Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li

Data Science and Data Mining
Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning

WWW 2019

Dingcheng Li, Jingyuan Zhang, Ping Li

Data Science and Data Mining
Product-Aware Helpfulness Prediction of Online Reviews

WWW 2019

Miao Fan, Chao Feng, Lin Guo, Mingming Sun, Ping Li

Data Science and Data Mining
TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding

SDM 2019

Dingcheng Li, Jingyuan Zhang, Ping Li

Data Science and Data Mining
Reading Customer Reviews to Answer Product-related Questions

SDM 2019

Miao Fan, Chao Feng, Mingming Sun, Ping Li, Haifeng Wang

Data Science and Data Mining
Integration of Knowledge Graph Embedding into Topic Modeling with Hierarchical Dirichlet Process

NAACL 2019

Dingcheng Li, Siamak Zamani Dadaneh, Jingyuan Zhang, Ping Li

Natural Language and Speech
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions and Implications to Training

ICLR 2019

Ping Li , Phan-Minh Nguyen

Machine Learning and Deep Learning
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation

AISTATS 2019

Mingming Sun, Ping Li

Machine Learning and Deep Learning
Multi-agent Discussion Mechanism for Natural Language Generation

AAAI 2019

Xu Li, Mingming Sun, Ping Li

Machine Learning and Deep Learning
Sign-Full Random Projections

AAAI 2019

Ping Li

Machine Learning and Deep Learning
A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

IEEE Transactions on Multimedia

Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, and Xiangyang Xue

Computer Vision
FSNET: Compression of Deep Convolutional Neural Networks by Filter Summary

arXiv

Yingzhen Yang, Nebojsa Jojic, Jun Huan

Machine Learning and Deep Learning
DELTA: Deep Learning Transfer Using Feature Map with Attention for Convolutional Networks

ICLR’19

"Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan"

Machine Learning and Deep Learning
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity

arXiv

Yingzhen Yang, Xingjian Li, Jun Huan

Machine Learning and Deep Learning
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent

arXiv

Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan

Machine Learning and Deep Learning
Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding

IEEE Big Data 2018

Dingcheng Li, Jingyuan Zhang, Ping Li

Data Science and Data Mining
Knowledge Graph Embedding Based Question Answering

WSDM 2019

Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li

Data Science and Data Mining
SpHMC: Spectral Hamiltonian Monte Carlo

AAAI 2019

Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, Jun Huan

Machine Learning and Deep Learning
Understanding Actors and Evaluating Personae with Gaussian Embeddings

AAAI 2019

Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li

Machine Learning and Deep Learning
Answer-focused and Position-aware Neural Question Generation

Institute of Computing Technology Chinese Academy of Sciences, Beijing, China

Xingwu Sun Jing Liu Yajuan Lyu Wei He Yanjun Ma Shi Wang

Natural Language and Speech
Emerging trends: A tribute to Charles Wayne

Natural Language Engineering

Kenneth Ward Church

Natural Language and Speech
TURAL LANGUAGE ENGINEERING

Cambridge University Press 2018

J Bosque-Gil, J Gracia, E Montiel-Ponsoda, A Gómez-Pérez, Ummi Zakiah Zainodin Abdulgabbar Saif, Nazlia Omar, Abdullah Saeed Ghareb, Wencan Luo, Fei Liu, Zitao Liu, Diane Litman, Pedro Mota, Maxine Eskenazi, Luísa Coheur, Kevin Warwick, Huma Shah, Kenneth Ward Church

Natural Language and Speech
Minsky, Chomsky and Deep Nets

International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining

Kenneth Ward Church

Natural Language and Speech
Language Modeling at Scale

arXiv

Mostofa Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Gregory Diamos, Kenneth Church

Natural Language and Speech
Emerging trends: APIs for speech and machine translation and more

Kenneth Ward Church

Natural Language and Speech
LinearFold: Linear-Time Prediction of RNA Secondary Structures

bioRxiv

Dezhong Deng, Kai Zhao, David Hendrix, David Mathews, Liang Huang

Natural Language and Speech
The Data Interaction Game

Proceedings of SIGMOD 2018 (Best Paper Finalist)

Ben McCamish,Vahid Ghdakchi,Arash Termehchy,Behrouz Touri,Liang Huang

Natural Language and Speech
bpRNA: large-scale automated annotation and analysis of RNA secondary structure

Nucleic acids research

Padideh Danaee, Mason Rouches, Michelle Wiley, Dezhong Deng, Liang Huang, David Hendrix

Natural Language and Speech
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

arXiv

Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He

Natural Language and Speech
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report

Proceedings of WMT 2018

Renjie Zheng, Yilin Yang, Mingbo Ma, Liang Huang

Machine Learning and Deep Learning
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency

arXiv

Mingbo Ma, Liang Huang, Hao Xiong, Kaibo Liu, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Haifeng Wang

Natural Language and Speech
Addressing Troublesome Words in Neural Machine Translation

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong, Hua Wu

Machine Learning and Deep Learning
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering

arXiv

YizhoDi Jiang, Yuanfeng Song, Rongzhong Lian, Siqi Bao, Jinhua Peng, Huang He, Hua Wung Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang

Machine Learning and Deep Learning
Improving Entity Recommendation with Search Log and Multi-Task Learning.

IJCAI 2018

Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu

Machine Learning and Deep Learning
Entity Highlight Generation as Statistical and Neural Machine Translation

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Jizhou Huang, Yaming Sun, Wei Zhang, Haifeng Wang, Ting Liu

Machine Learning and Deep Learning
Learning a unified embedding space of web search from large-scale query log

Knowledge-Based Systems 2018

Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, Haifeng Wang

Machine Learning and Deep Learning
Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate

RTSS 2108

Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin ,Sajal K. Das, and Haoyi Xiong.

Machine Learning and Deep Learning
An Efficient Algorithm for Graph Edit Distance Computation，Knowledge-Based Systems

Knowledge-Based Systems 2018

Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter

Machine Learning and Deep Learning
DBSDA: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.

IEEE Transactions on Neural Networks and Learning Systems

Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zeyi Sun, and Zhishan Guo.

Machine Learning and Deep Learning
CompetitiveBike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data

IEEE Transactions on Mobile Computing 2018

Yi Ouyang, Bin Guo, Xinjiang Lu, Qi Han, Tong Guo, Zhiwen Yu

Business Intelligence
Efficient Detection of Soft Concatenation Mapping

TKDE2018

Hao Liu, Jiang Xiao, Haoyu Tan, Qiong Luo, Jintao Zhao, Lionel M. N

Data Science and Data Mining
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning

ACM Transactions on Management Information Systems (TMIS)2018

Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li

Business Intelligence
DeLS-3D: Deep Localization and Segmentation with a 3D Sematic Map

CVPR2018

Peng Wang, Binbin Cao, Wei Xu, Yuanqin Lin, Ruigang Yang

Computer Vision
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios

IROSW2018

Tingxiang Fan, Xinjing Cheng, Jia Pan, Dinesh Manocha, Ruigang Yang

Robotics and Autonomous Driving
Speeding Up Neural Machine Translation Decoding by Cube Pruning

EMNLP 2018

Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu

Natural Language and Speech
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation

EMNLP 2018

Yilin Yang, Liang Huang, Mingbo Ma

Natural Language and Speech
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation

EMNLP 2018

Renjie Zheng, Mingbo Ma, Liang Huang

Natural Language and Speech
Collaborative Multi-objective Ranking

CIKM 2018

Jun Hu and Ping Li

Data Science and Data Mining
A Globalization-Semantic Matching Neural Network for Paraphrase Identification

CIKM 2018

Miao Fan, Wutao Lin, Yue Feng, Mingming Sun, Ping Li

Natural Language and Speech
FastInput: Improving Input Efficiency on Mobile Devices

CIKM 2018

Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, and Ping Li

Data Science and Data Mining
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain

EMNLP 2018

Mingming Sun, Xu Li, and Ping Li

Data Science and Data Mining
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity

CIKM 2018

Xiaoli Li, Jun Huan

Data Science and Data Mining,Machine Learning and Deep Learning
A Tight Bound on Hard Thresholding

JMLR 2018

Jie Shen, Ping Li

Machine Learning and Deep Learning
Large Margin Neural Language Model

EMNLP 2018

Jiaji Huang, Yi Li, Wei Ping and Liang Huang

Natural Language and Speech
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

ECCV 2018

Xinjing Cheng, Peng Wang. Ruigang Yang

Computer Vision
Resource-Efficient Neural Architect

Arxiv 2018

Yanqi Zhou, Siavash Ebrahimi, Sercan Ö. Arık, Haonan Yu, Hairong Liu, Greg Diamos

Machine Learning and Deep Learning
LEGO: Learning Edge with Geometry all at Once by Watching Videos

CVPR 2018

Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

AAAI 2018

Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia

Computer Vision
Connecting Emerging Relationships from News via Tensor Factorization

IEEE International Conference on Big Data 2017

Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu

Data Science and Data Mining
Mapping Client Messages to a Unified Data Model with Mixture Feature Embedding Convolutional Neural Network

BIBM 2017

Li, Dingcheng, Peini Liu, Ming Huang, Yu Gu, Yue Zhang, Xiaodi Li, Daniel Dean, Xiaoxi Liu, Jingmin Xu, Hui Lei and Yaoping Ruan

Data Science and Data Mining
Decoupled Collaborative Ranking

WWW 2017

Jun Hu, Ping Li

Machine Learning and Deep Learning
Theory of the GMM Kernel

WWW 2017

Ping Li, Cun-Hui Zhang

Machine Learning and Deep Learning
Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability

KDD 2018

Yuecheng Rong, Zhimian Xu, Ruibo Yan, Xu Ma

Data Science and Data Mining
R²SDH: Robust Rotated Supervised Discrete Hashing

KDD 2018

Jie Gui, Ping Li

Data Science and Data Mining
On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From b -Bit Quantized Linear Measurements

IEEE Transactions on Information Theory 2018

Martin Slawski, Ping Li

Machine Learning and Deep Learning
Gradient Hard Thresholding Pursuit

JMLR 2018

Xiao-Tong Yuan, Ping Li, Tong Zhang

Machine Learning and Deep Learning
Emerging trends: Artificial Intelligence, China and my new job at Baidu

Natural Language Engineering 2018

Kenneth Ward Church

Natural Language and Speech
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

ACL 2018 MRQA Workshop

Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang

Natural Language and Speech
De-Biasing Covariance-Regularized Discriminant Analysis

IJCAI 2018

Haoyi Xiong, Wei Cheng, Yanjie Fu, Jiang Bian, Wenqinghu and Zhishan Guo

Data Science and Data Mining,Machine Learning and Deep Learning
A Generic Inverted Index Framework for Similarity Search on the GPU

ICDE 2018

Jingbo Zhou, Qi Guo, H. V. Jagadish, Lubos Krcal, Siyuan Liu, Wenhao Luan, Anthony K. H. Tungy, Yueji Yangy, Yuxin Zheng

Data Science and Data Mining
Linear-Time Constituency Parsing with RNNs and Dynamic Programming

ACL 2018

Juneki Hong and Liang Huang

Natural Language and Speech
Learning to Explore via Meta-Policy Gradient

ICML 2018

Tianbing Xu, Qiang Liu, Liang Zhao and Jian Peng

Machine Learning and Deep Learning
Listen, Interact and Talk: Learning to Speak via Interaction

NIPS Workshop on Visually-Grounded Interaction and Language 2017

Zhang, Haichao, Haonan Yu, and Wei Xu

Natural Language and Speech,Computer Vision,Machine Learning and Deep Learning
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

SIGIR 2018

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen and Hui Xiong

Business Intelligence
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game

ACL 2018

Haichao Zhang, Haonan Yu, and Wei Xu

Natural Language and Speech,Computer Vision,Machine Learning and Deep Learning
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

ACL 2018

Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Xin Zhao, Dianhai Yu and Hua Wu

Natural Language and Speech
Joint Training of Candidate Extraction and Answer Selection in Reading Comprehension

ACL 2018

Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu

Natural Language and Speech
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

ACL 2018

Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li and Haifeng Wang

Natural Language and Speech
Improving Entity Recommendation with Search Log and Multi-Task Learning

IJCAI 2018

Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu

Natural Language and Speech
Learning to Recommend Related Entities With Serendipity for Web Search Users

TALLIP

Jizhou Huang, Shiqiang Ding, Haifeng Wang, Ting Liu

Natural Language and Speech
Generating Recommendation Evidence Using Translation Model

IJCAI 2016

Jizhou Huang, Shiqi Zhao, Shiqiang Ding, Haiyang Wu, Mingming Sun, Haifeng Wang

Natural Language and Speech
The ApolloScape Dataset for Autonomous Driving

CVPRW 2018

Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang

Robotics and Autonomous Driving
Fast Texture Mapping Adjustment via Local/Global Optimization

IEEE 2018

Wei Li, Huajun Gong, Ruigang Yang

Robotics and Autonomous Driving
Robust Surface Light Field Modeling

IEEE 2018

Wei Li, Hui Qiao, Chen Zhao, Zhongqin Wu, Ruigang Yang

Robotics and Autonomous Driving
Dynamic Non-Rigid Objects Reconstruction with a Single RGB-D Sensor

Sensors 2018

Sen Wang, Xinxin Zuo, Chao Du, Runxiao Wang, Jiangbin Zheng, Ruigang Yang

Robotics and Autonomous Driving
A Joint Learning Approach to Intelligent Job Interview Assessment

IJCAI 2018

Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong

Business Intelligence
What types of word alignment improve statistical machine translation?

Journal of Machine Translation 2012

Patrik Lambert, Simon Petitrenaud, Yanjun Ma and Andy Way

Natural Language and Speech
User Behaviors Lend a Helping Hand: Learning Paraphrase Query Patterns from Search Log Sessions

Coling 2012

Shiqi Zhao, Haifeng Wang, Ting Liu

Natural Language and Speech
Opening Machine Translation Black Box for Cross-Language Information Retrieval

AIRS 2012

Yanjun Ma, Jian-Yun Nie, Hua Wu, Haifeng Wang

Natural Language and Speech
Mining User's Real Social Circle in Microblog

ASONAM 2012

Hailong Qin, Ting Liu, Yanjun Ma

Natural Language and Speech
Improve SMT Quality with Automatically Extracted Paraphrase Rules

ACL 2012

Wei He, Hua Wu, Haifeng Wang, Ting Liu

Natural Language and Speech
Enlister: baidu's recommender system for the biggest chinese Q&A website

RecSys 2012

Qiwen Liu, Tianjian Chen, Jing Cai, Dianhai Yu

Natural Language and Speech
Bayesian Probabilistic Co-Subspace Addition

NIPS 2012

Lei Shi

Machine Learning and Deep Learning
An Evaluation of Statistical Post-Editing Systems Applied to RBMT and SMT Systems

COLING 2012

Hanna Béchara, Raphaël Rubino, Yifan He, Yanjun Ma, Josef van Genabith

Natural Language and Speech
Using the Web to Train a Mobile Device Oriented Japanese Input Method Editor

IJCNLP 2013

Xianchao Wu, Rixin Xiao, Xiaoxin Chen

Natural Language and Speech
Using a Chunk-based Dependency Parser to Mine Compound Words from Tweets

JNLP 2013

Xianchao Wu

Natural Language and Speech
Trading-off Among Accuracy, Similarity, Diversity, and Long-tail: A Graph-based Recommendation Approach

Recsys 2013

Lei Shi

Natural Language and Speech
Syntax-based Post-ordering for Efficient Japanese-to-English Translation

TALIP 2013

Katsuhito Sudoh, Xianchao Wu, Kevin Duh, Haiime Tsukada, Masaaki Nagata

Natural Language and Speech
Sparse Additive Topic Model with Low Rank Background

NIPS 2013

Lei Shi

Natural Language and Speech
Selective Transfer Learning for Cross Domain Recommendation

SDM 2013

Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang

Natural Language and Speech
Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources

SDM 2013

Ben Tan, Erheng Zhong, Even Wei Xiang, Qiang Yang

Machine Learning and Deep Learning
Mining Japanese Compound Words and Their Pronunciations from Web Pages and Tweets

IJCNLP 2013

Xianchao Wu

Natural Language and Speech
Generalization of Words for Chinese Dependency Parsing

IWPT 2013

Xianchao Wu, Jie Zhou, Yu Sun, Zhanyi Liu, Dianhai Yu, Hua Wu, Haifeng Wang
Cross-lingual Projections between Languages from different Families

ACL 2013

Mo Yu, Tiejun Zhao Yalong Bai, Hao Tian, Dianhai Yu

Natural Language and Speech
Compound Embedding Features for Semi-supervised Learning

HLT-NAACL 2013

Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu

Natural Language and Speech
Bootstrapping Large-scale Named Entities using URL-Text Hybrid Patterns

IJCNLP 2013

Chao Zhang, Shiqi Zhao, Haifeng Wang

Natural Language and Speech
Active Transfer Learning for Cross-System Recommendation

AAAI 2013

Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang

Natural Language and Speech
A Hierarchical Semantics-Aware Distributional Similarity Scheme

IJCNLP 2013

Shuqi Sun, Ke Sun, Shiqi Zhao, Haifeng Wang, Muyun Yang, and Sheng Li

Natural Language and Speech
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality

EMNLP 2014

Zhongjun He, Hua Wu, Haifeng Wang, Ting Liu

Natural Language and Speech
Transductive learning with multi-class volume approximation

ICML 2014

Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama

Natural Language and Speech
Semi-supervised information-maximization clustering

Neural Networks 2014

Daniele Calandriello, Gang Niu, Masashi Sugiyamab

Machine Learning and Deep Learning
Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System

EMNLP 2014

Zhuoran Wang, Hongliang Chen, Guanchun Wang, Hao Tian, Hua Wu and Haifeng Wang.

Natural Language and Speech
On the Granularity of Dialog Strategies: Insights from Large-scale Analyses of Two Commercial Travel Information Spoken Dialog Systems

AAAI-SSS 2014

Zengtao Jiao, Zhuoran Wang, Guanchun Wang, Hao Tian, Hua Wu and Haifeng Wang

Natural Language and Speech
Large-scale Analysis of the Flight Booking Spoken Dialog System in a Commercial Travel Information Mobile App

SemDial 2014

Zengtao Jiao, Zhuoran Wang, Guanchun Wang, Hao Tian, Hua Wu and Haifeng Wang

Natural Language and Speech
Information-theoretic semi-supervised metric learning via entropy regularization

Neural Computation 2014

Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama

Machine Learning and Deep Learning
Improving Pivot-based Statistical Machine Translation by Pivoting the Co-occurrence Frequency of Phrase Pairs

EMNLP 2014

Xiaoning Zhu, Zhongjun He, Hua Wu, Conghui Zhu, Haifeng Wang and Tiejun Zhao

Natural Language and Speech
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model

EMNLP 2014

Haiyang Wu, Daxiang Dong, Wei He, Xiaoguang Hu, Dianhai Yu, Hua Wu, Haifeng Wang, Ting Liu

Natural Language and Speech
Analysis of Learning from Positive and Unlabeled Data

NIPS 2014

Marthinus C. du Plessis, Gang Niu, Masashi Sugiyama

Machine Learning and Deep Learning
Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing

WWW 2015

Rui Yan, Ian E.H. Yen, Cheng-Te Li, Shiqi Zhao, and Xiaohua Hu

Natural Language and Speech
Multi-Task Learning for Multiple Language Translation

ACL 2015

Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang

Natural Language and Speech
Learn to Solve Algebra Word Problems Using Quadratic Programming

EMNLP 2015

Lipu Zhou, Shuaixiang Dai, and Liwei Chen

Natural Language and Speech
Improved Beam Search with Constrained Softmax for NMT

MT-SUMMIT 2015

Xiaoguang Hu, Wei Li, Xiang Lan, Hua Wu, Haifeng Wang

Natural Language and Speech
Exploiting Collective Hidden Structures in Webpage Titles for Open Domain Entity Extraction

WWW 2015

Wei Song, Shiqi Zhao, Chao Zhang, Hua Wu, Haifeng Wang, Lizhen Liu, Hanshi Wang

Natural Language and Speech
Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN

NLPCC 2016

Liang Wang, Sujian Li, Xinyan Xiao, Yajuan Lyu

Natural Language and Speech
TDSS: A New Word Sense Representation Framework for Information Retrieval Applications

NLPCC 2016

Liwei Chen, Yansong Feng, and Dongyan Zhao

Natural Language and Speech
Semi-Supervised Learning for Neural Machine Translation

ACL 2016

Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu

Natural Language and Speech
Multi-view Response Selection for Human-Computer Conversation

EMNLP 2016

Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, and Rui Yan

Natural Language and Speech
Minimum Risk Training for Neural Machine Translation

ACL 2016

Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

Natural Language and Speech
Learning to Respond with Deep Neural Networks for Retrieval based Human-Computer Conversation System

SIGIR 2016

Rui Yan, Yiping Song and Hua Wu

Natural Language and Speech
Latent Topic Embedding

COLING 2016

Di Jiang, Lei Shi, Rongzhong Lian, Hua Wu

Natural Language and Speech
Improved Neural Machine Translation with SMT Features

AAAI 2016

Wei He, Zhongjun He, Hua Wu, Haifeng Wang

Natural Language and Speech
Chinese Poetry Generation with Planning based Neural Network

COLING 2016

Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang and Enhong Chen

Natural Language and Speech
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

IJCAI 2016

Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

Natural Language and Speech
"Shall I Be Your Chat Companion?" Towards an Online Human-Computer Conversation System

CIKM 2016

Rui Yan, Yiping Song, Xiangyang Zhou, and Hua Wu

Natural Language and Speech
Wordsup: Exploiting word annotations for character based text detection.

ICCV 2017

Han Hu, Chengquan Zhang, Yuxuan Luo, Yuzhuo Wang, Junyu Han, Errui Ding

Computer Vision
Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding

CVPRW 2017

Fu Li, Chuang Gan, Xiao Liu, Yunlong Bian, Xiang Long, Yandong Li, Zhichao Li, Jie Zhou, Shilei Wen

Computer Vision
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks.

ICCV 2017

Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, and Dimitris Metaxas

Computer Vision
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification

CVPRW 2017

Yunlong Bian, Chuang Gan, Xiao Liu, Fu Li, Xiang Long, Yandong Li, Heng Qi, Jie Zhou, Shilei Wen, Yuanqing Lin

Computer Vision
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification

EMNLP 2017

Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu, Haifeng Wang

Natural Language and Speech
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition

AAAI 2017

Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin

Computer Vision
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks

IJCAI 2017

Huang Jizhou, Zhang Wei, Zhao Shiqi, Ding Shiqiang, Wang Haifeng

Natural Language and Speech
Kernel Pooling for Convolutional Neural Networks

CVPR 2017

Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge Belongie

Computer Vision
Efficient Message Passing Methods with Fully Connected Models for Early Vision

IEEE TIP 2017

Xiao Tan, Changming Sun, Fumin Shen, and Kwan-Yee K. Wong

Computer Vision
Dynamic Computational Time for Visual Attention

ICCVW 2017

Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu

Computer Vision
Dialogue Breakdown Detection using Hierarchical Bi-Directional LSTMs

DSTC6 2017

Zeying Xie, Guang Ling

Natural Language and Speech
Deep Metric Learning with Angular Loss

ICCV 2017

Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu and Yuanqing Lin

Computer Vision
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge

ACL 2017

Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao

Natural Language and Speech
Multimodal Keyless Attention Fusion for Video Classification

AAAI 2018

Xiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen

Computer Vision
Multi-channel Encoder for Neural Machine Translation

AAAI 2018

Hao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu

Natural Language and Speech
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature

WACV 2018

Chaofeng Chen*, Xiao Tan*, Kwan-Yee K. Wong

Computer Vision
A New Method of Region Embedding for Text Classification

ICLR 2018

Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu

Natural Language and Speech
Deep captioning with multimodal recurrent neural networks (m-rnn)

ICLR 2015

Mao, Junhua; Xu, Wei; Yang, Yi; Wang, Jiang; Huang, Zhiheng; Yuille, Alan

Natural Language and Speech,Computer Vision
DeepSpeech: Scaling up end-to-end speech recognition

arXiv 2014

Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates,Andrew Y. Ng

Natural Language and Speech
Learning like a child: Fast novel visual concept learning from sentence descriptions of images

ICCV 2015

Mao, Junhua; Wei, Xu; Yang, Yi; Wang, Jiang; Huang, Zhiheng; Yuille, Alan L

Machine Learning and Deep Learning
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question

NIPS 2015

Gao, Haoyuan; Mao, Junhua; Zhou, Jie; Huang, Zhiheng; Wang, Lei; Xu, Wei

Natural Language and Speech
End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks

ACL&IJCNLP 2015

Zhou, Jie; Xu, Wei

Natural Language and Speech
Lookahead convolution layer for unidirectional recurrent neural networks

ICLR Workshop 2016

Chong Wang , Dani Yogatama , Adam Coates, Tony Han, Awni Hannun, Bo Xiao

Machine Learning and Deep Learning
Learning Multiscale Features Directly From Waveforms

InterSpeech 2016

Zhenyao Zhu, Jesse H. Engel , Awni Hannun

Natural Language and Speech
Active Learning for Speech Recognition: the Power of Gradients

NIPS-CLDL 2016

Jiaji Huang, Rewon Child, Vinay Rao, Hairong Liu, Sanjeev Satheesh, Adam Coates

Natural Language and Speech
Persistent RNNs: Stashing Recurrent Weights On-Chip

ICML 2016

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse Engel, Awni Hannun, Sanjeev Satheesh

Machine Learning and Deep Learning,High Performance Computing
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

ICML 2016

Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Vaino Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu

Natural Language and Speech
Video paragraph captioning using hierarchical recurrent neural networks

CVPR 2016

Yu, Haonan; Wang, Jiang; Huang, Zhiheng; Yang, Yi; Xu, Wei

Natural Language and Speech,Computer Vision
Cnn-rnn: A unified framework for multi-label image classification

CVPR 2016

Wang, Jiang; Yang, Yi; Mao, Junhua; Huang, Zhiheng; Huang, Chang; Xu, Wei

Computer Vision
Deep recurrent models with fast-forward connections for neural machine translation

TACL 2016

Zhou, Jie; Cao, Ying; Wang, Xuguang; Li, Peng; Xu, Wei

Natural Language and Speech
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases

ACL 2016

Dai, Zihang; Li, Lei; Xu, Wei

Natural Language and Speech
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling

ICML 2017

Hairong Liu, Zhenyao Zhu, Xiangang Li, Sanjeev Satheesh

Natural Language and Speech
Convolutional recurrent neural networks for small-footprint keyword spotting

InterSpeech 2017

S. Ö. Arık, M. Kliegl, R. Child, J. Hestness, A. Gibiansky, C. Fougner, R. Prenger, and A. Coates

Natural Language and Speech
Deep Voice: Real-time neural text-to-speech

ICML 2017

S. Ö. Arık, M. Chrzanowski, A. Coates, G. Diamos, A. Gibiansky, Y. Kang, X. Li, J. Miller, A. Ng, J. Raiman, S. Sengupta, M. Shoeybi

Natural Language and Speech
Deep Voice 2: Multi-Speaker Neural Text-to-Speech

NIPS 2017

Sercan Arik, Gregory Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou

Natural Language and Speech
Exploring Neural Transducers for End-to-End Speech Recognition

ASRU 2017

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

Natural Language and Speech
Block-Sparse Recurrent Neural Networks

NIPS Workshop 2017

Sharan Narang, Eric Undersander, Gregory Diamos

Machine Learning and Deep Learning,High Performance Computing
Exploring Sparsity in Recurrent Neural Networks

ICLR 2017

Sharan Narang, Erich Elsen, Gregory Diamos, Shubho Sengupta

Machine Learning and Deep Learning,High Performance Computing
DSD: Dense-Sparse-Dense Training for Deep Neural Networks

ICLR 2017

Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro,William J. Dally

Machine Learning and Deep Learning,High Performance Computing
Detailed Surface Geometry and Albedo Recovery From RGB-D Video Under Natural Illumination

ICCV 2017

Xinxin Zuo, Sen Wang, Jiangbin Zheng, Ruigang Yang

Computer Vision
Simple strategies for recovering inner products from coarsely quantized random projections

NIPS 2017

Ping Li, Martin Slawski

Data Science and Data Mining
Topic Compositional Neural Language Model

AISTATS 2018

Wenbin Wan, Zhe Gan, Wendi Wang, Dinghy Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

Natural Language and Speech
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

ICLR 2018

Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan O. Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller

Natural Language and Speech
Neural Architect: A Multi-objective Neural Architecture Search with Performance Prediction

SysML 2018

Yanqi Zhou, Gregory Diamos

Machine Learning and Deep Learning,High Performance Computing
Have a Larger Cake and Eat it Faster Too: A Guideline to Train Larger Models Faster

SysML 2018

Newsha Ardalani, Joel Hestness, Gregory Diamos

Machine Learning and Deep Learning,High Performance Computing
Mixed Precision Training

ICLR 2018

Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory Diamos, Erich Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev,Ganesh Venkatesh, Hao Wu

Machine Learning and Deep Learning,High Performance Computing
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map

CVPR 2018

Peng Wang, Binbin Cao, Wei Xu, Yuanqin Lin, Ruigang Yang

Robotics and Autonomous Driving,Computer Vision
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach

AAAI 2018

Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong

Business Intelligence
Collaborative Filtering via Additive Ordinal Regression

WSDM 2018

Jun Hu, Ping Li

Data Science and Data Mining
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction

WSDM 2018

Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li

Natural Language and Speech
View Extrapolation of Human Body from a Single Image

CVPR 2018

Hao Zhu, Hao Su, Peng Wang, Ruigang Yang

Computer Vision
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion

CVPR 2018

Zhishuai Zhang*, Cihang Xie*, Jianyu Wang*, Lingxi Xie, Alan L. Yuille (* equal contribution)

Robotics and Autonomous Driving,Computer Vision
LEGO: Learning Edge with Geometry all at Once by Watching Videos

CVPR 2018

Zhenheng Yang, Peng Wang, Wei Xu, Yang Wang, Ramakant Nevatia

Computer Vision
Occlusion Aware Unsupervised Learning of Optical Flow

CVPR 2018

Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang and Wei Xu

Computer Vision
Interactive Grounded Language Acquisition and Generalization in a 2D World

ICLR 2018

Haonan Yu, Haichao Zhang, Wei Xu

Machine Learning and Deep Learning