Baidu Research

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
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
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
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
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
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