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2023
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
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
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
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 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
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
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
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
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
Fast Item Ranking under Neural Network based Measures
WSDM 2020
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
Data Science and Data Mining
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
On Efficient Retrieval of Top Similarity Vectors
EMNLP 2019
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
Data Science and Data Mining
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction
KDD 2019
Hongliang Fei, Shulong Tan, Ping Li
Data Science and Data Mining
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
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
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
Collaborative Multi-objective Ranking
CIKM 2018
Jun Hu and Ping Li
Data Science and Data Mining
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
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
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
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
Simple strategies for recovering inner products from coarsely quantized random projections
NIPS 2017
Ping Li, Martin Slawski
Data Science and Data Mining
Collaborative Filtering via Additive Ordinal Regression
WSDM 2018
Jun Hu, Ping Li
Data Science and Data Mining