Improving Web Browsing on Small Devices Based on Table Classification. - Chong Wang 002; Xing Xie 001; Wenyuan Wang; Wei-Ying Ma (PCM (2), 2004)

Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content. - Patrick Baudisch; Xing Xie 001; Chong Wang 002; Wei-Ying Ma (UIST, 2004)

Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification. - Chong Wang 002; Wenyuan Wang (PAKDD, 2005)

An adaptive web page layout structure for small devices. - Xing Xie 001; Chong Wang 002; Li-Qun Chen; Wei-Ying Ma (Multim. Syst., 2005)

Off-line Chinese signature verification based on support vector machines. - Hairong Lv; Wenyuan Wang; Chong Wang 002; Qing Zhuo (Pattern Recognit. Lett., 2005)

MSRA Columbus at GeoCLEF 2006. - Zhisheng Li; Chong Wang 002; Xing Xie 001; Wei-Ying Ma (CLEF (Working Notes), 2006)

MSRA Columbus at GeoCLEF 2006. - Zhisheng Li; Chong Wang 002; Xing Xie 001; Xufa Wang; Wei-Ying Ma (CLEF, 2006)

Indexing implicit locations for geographical information retrieval. - Zhisheng Li; Chong Wang 002; Xing Xie 001; Xufa Wang; Wei-Ying Ma (GIR, 2006)

Robust Visual Tracking Via Incremental Maximum Margin Criterion. - Lu Wang; Ming Wen 002; Chong Wang 002; Wenyuan Wang (ISNN (2), 2006)

Links between PPCA and subspace methods for complete Gaussian density estimation. - Chong Wang 002; Wenyuan Wang (IEEE Trans. Neural Networks, 2006)

Query Parsing Task for GeoCLEF2007 Report. - Zhisheng Li; Chong Wang 002; Xing Xie 001; Wei-Ying Ma (CLEF (Working Notes), 2007)

MSRA Columbus at GeoCLEF2007. - Zhisheng Li; Chong Wang 002; Xing Xie 001; Wei-Ying Ma (CLEF (Working Notes), 2007)

Exploring LDA-Based Document Model for Geographic Information Retrieval. - Zhisheng Li; Chong Wang 002; Xing Xie 001; Xufa Wang; Wei-Ying Ma (CLEF, 2007)

Mining geographic knowledge using location aware topic model. - Chong Wang 002; Jinggang Wang; Xing Xie 001; Wei-Ying Ma (GIR, 2007)

MusicSense: contextual music recommendation using emotional allocation modeling. - Rui Cai 002; Chao Zhang; Chong Wang 002; Lei Zhang 001; Wei-Ying Ma (ACM Multimedia, 2007)

Variational Bayesian Approach to Canonical Correlation Analysis. - Chong Wang 002 (IEEE Trans. Neural Networks, 2007)

Continuous Time Dynamic Topic Models. - Chong Wang 002; David M. Blei; David Heckerman (UAI, 2008)

Simultaneous image classification and annotation. - Chong Wang 002; David M. Blei; Li Fei-Fei 001 (CVPR, 2009)

Reading Tea Leaves: How Humans Interpret Topic Models. - Jonathan D. Chang; Jordan L. Boyd-Graber; Sean Gerrish; Chong Wang 002; David M. Blei (NIPS, 2009)

Variational Inference for the Nested Chinese Restaurant Process. - Chong Wang 002; David M. Blei (NIPS, 2009)

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. - Chong Wang 002; David M. Blei (NIPS, 2009)

Markov Topic Models. - Chong Wang 002; Bo Thiesson; Christopher Meek; David M. Blei (AISTATS, 2009)

Building and using a semantivisual image hierarchy. - Li-Jia Li 001; Chong Wang 002; Yongwhan Lim; David M. Blei; Li Fei-Fei 001 (CVPR, 2010)

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. - Sinead Williamson; Chong Wang 002; Katherine A. Heller; David M. Blei (ICML, 2010)

Fast Large-scale Mixture Modeling with Component-specific Data Partitions. - Bo Thiesson; Chong Wang 002 (NIPS, 2010)

Collaborative topic modeling for recommending scientific articles. - Chong Wang 002; David M. Blei (KDD, 2011)

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. - John W. Paisley; Chong Wang 002; David M. Blei (AISTATS, 2011)

Online Variational Inference for the Hierarchical Dirichlet Process. - Chong Wang 002; John W. Paisley; David M. Blei (AISTATS, 2011)

Truncation-free Online Variational Inference for Bayesian Nonparametric Models. - Chong Wang 002; David M. Blei (NIPS, 2012)

A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process - Chong Wang 002; David M. Blei (CoRR, 2012)

Towards the taxonomy-oriented categorization of yellow pages queries. - Zhisheng Li; Xiangye Xiao; Meng Wang 001; Chong Wang 002; Xufa Wang; Xing Xie 001 (ACM Trans. Internet Techn., 2012)

An Adaptive Learning Rate for Stochastic Variational Inference. - Rajesh Ranganath; Chong Wang 002; David M. Blei; Eric P. Xing (ICML (2), 2013)

Modeling Overlapping Communities with Node Popularities. - Prem Gopalan; Chong Wang 002; David M. Blei (NIPS, 2013)

Variance Reduction for Stochastic Gradient Optimization. - Chong Wang 002; Xi Chen 010; Alexander J. Smola; Eric P. Xing (NIPS, 2013)

Community Specific Temporal Topic Discovery from Social Media. - Zhiting Hu; Chong Wang 002; Junjie Yao; Eric P. Xing; Hongzhi Yin; Bin Cui 001 (CoRR, 2013)

A Nested HDP for Hierarchical Topic Models - John W. Paisley; Chong Wang 002; David M. Blei; Michael I. Jordan (ICLR (Workshop), 2013)

Stochastic variational inference. - Matthew D. Hoffman; David M. Blei; Chong Wang 002; John W. Paisley (J. Mach. Learn. Res., 2013)

Variational inference in nonconjugate models. - Chong Wang 002; David M. Blei (J. Mach. Learn. Res., 2013)

Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS). - Qiming Diao; Minghui Qiu; Chao-Yuan Wu; Alexander J. Smola; Jing Jiang 001; Chong Wang 002 (KDD, 2014)

Modeling Citation Networks Using Latent Random Offsets. - Willie Neiswanger; Chong Wang 002; Qirong Ho; Eric P. Xing (UAI, 2014)

Asymptotically Exact, Embarrassingly Parallel MCMC. - Willie Neiswanger; Chong Wang 002; Eric P. Xing (UAI, 2014)

Dynamic Language Models for Streaming Text. - Dani Yogatama; Chong Wang 002; Bryan R. Routledge; Noah A. Smith; Eric P. Xing (Trans. Assoc. Comput. Linguistics, 2014)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums. - Abhimanu Kumar; Shriphani Palakodety; Chong Wang 002; Carolyn P. Rosé; Eric P. Xing; Miaomiao Wen (CoRR, 2015)

Embarrassingly Parallel Variational Inference in Nonconjugate Models. - Willie Neiswanger; Chong Wang 002; Eric P. Xing (CoRR, 2015)

Nested Hierarchical Dirichlet Processes. - John W. Paisley; Chong Wang 002; David M. Blei; Michael I. Jordan (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. - Adji B. Dieng; Chong Wang 002; Jianfeng Gao 001; John W. Paisley (ICLR (Poster), 2017)

Sequence Modeling via Segmentations. - Chong Wang 002; Yining Wang; Po-Sen Huang; Abdelrahman Mohamed; Dengyong Zhou; Li Deng 001 (ICML, 2017)

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. - Jianshu Chen; Chong Wang 002; Lin Xiao; Ji He; Lihong Li 001; Li Deng 001 (NIPS, 2017)

Scaffolding Networks for Teaching and Learning to Comprehend. - Asli Celikyilmaz; Li Deng 001; Lihong Li 001; Chong Wang 002 (CoRR, 2017)

Neural Phrase-based Machine Translation. - Po-Sen Huang; Chong Wang 002; Dengyong Zhou; Li Deng 001 (CoRR, 2017)

Thoracic Disease Identification and Localization With Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2018)

Subgoal Discovery for Hierarchical Dialogue Policy Learning. - Da Tang; Xiujun Li; Jianfeng Gao 001; Chong Wang 002; Lihong Li 001; Tony Jebara (EMNLP, 2018)

Towards Neural Phrase-based Machine Translation. - Po-Sen Huang; Chong Wang 002; Sitao Huang; Dengyong Zhou; Li Deng 001 (ICLR (Poster), 2018)

Attention-based Graph Neural Network for Semi-supervised Learning. - Kiran Koshy Thekumparampil; Chong Wang 002; Sewoong Oh; Li-Jia Li 001 (CoRR, 2018)

Rate Distortion For Model Compression: From Theory To Practice. - Weihao Gao; Chong Wang 002; Sewoong Oh (CoRR, 2018)

Thoracic Disease Identification and Localization with Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Fully Supervised Speaker Diarization. - Aonan Zhang; Quan Wang; Zhenyao Zhu; John W. Paisley; Chong Wang 002 (ICASSP, 2019)

Neural Logic Machines. - Honghua Dong; Jiayuan Mao; Tian Lin; Chong Wang 002; Lihong Li 001; Denny Zhou (ICLR (Poster), 2019)

Rate Distortion For Model Compression: From Theory To Practice. - Weihao Gao; Yu-Han Liu; Chong Wang 002; Sewoong Oh (ICML, 2019)

Feature Partitioning for Efficient Multi-Task Architectures. - Alejandro Newell; Lu Jiang 004; Chong Wang 002; Li-Jia Li 001; Jia Deng 001 (CoRR, 2019)

Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. - Weihao Gao; Xiangjun Fan; Jiankai Sun; Kai Jia; Wenzhi Xiao; Chong Wang 002; Xiaobing Liu (CoRR, 2020)

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. - Weihao Gao; Xiangjun Fan; Chong Wang 002; Jiankai Sun; Kai Jia; Wenzhi Xiao; Ruofan Ding; Xingyan Bin; Hui Yang; Xiaobing Liu (CIKM, 2021)

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. - HaiYing Wang; Aonan Zhang; Chong Wang 002 (NeurIPS, 2021)

Vertical Federated Learning without Revealing Intersection Membership. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Aonan Zhang; Weihao Gao; Junyuan Xie; Chong Wang 002 (CoRR, 2021)

Defending against Reconstruction Attack in Vertical Federated Learning. - Jiankai Sun; Yuanshun Yao; Weihao Gao; Junyuan Xie; Chong Wang 002 (CoRR, 2021)

Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. - Tianze Zheng; Weihao Gao; Chong Wang 002 (CoRR, 2021)

Label Leakage and Protection in Two-party Split Learning. - Oscar Li; Jiankai Sun; Xin Yang 017; Weihao Gao; Hongyi Zhang; Junyuan Xie; Virginia Smith; Chong Wang 002 (ICLR, 2022)

PathFlow: A normalizing flow generator that finds transition paths. - Tianyi Liu; Weihao Gao; Zhirui Wang; Chong Wang 002 (UAI, 2022)

Differentially private multi-party data release for linear regression. - Ruihan Wu; Xin Yang 017; Yuanshun Yao; Jiankai Sun; Tianyi Liu; Kilian Q. Weinberger; Chong Wang 002 (UAI, 2022)

Learning to Simulate Unseen Physical Systems with Graph Neural Networks. - Ce Yang; Weihao Gao; Di Wu; Chong Wang 002 (CoRR, 2022)

Counterfactually Evaluating Explanations in Recommender Systems. - Yuanshun Yao; Chong Wang 002; Hang Li (CoRR, 2022)

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Chong Wang 002 (CoRR, 2022)

Differentially Private Label Protection in Split Learning. - Xin Yang 017; Jiankai Sun; Yuanshun Yao; Junyuan Xie; Chong Wang 002 (CoRR, 2022)

Differentially Private AUC Computation in Vertical Federated Learning. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Junyuan Xie; Di Wu; Chong Wang 002 (CoRR, 2022)

Collaborative Anomaly Detection. - Ke Bai 001; Aonan Zhang; Zhizhong Li 002; Ricardo Henao; Chong Wang 002; Lawrence Carin (CoRR, 2022)

Learning to Counterfactually Explain Recommendations. - Yuanshun Yao; Chong Wang 002; Hang Li (CoRR, 2022)

Learning Regularized Positional Encoding for Molecular Prediction. - Xiang Gao; Weihao Gao; Wenzhi Xiao; Zhirui Wang; Chong Wang 002; Liang Xiang (CoRR, 2022)

Supervised Pretraining for Molecular Force Fields and Properties Prediction. - Xiang Gao; Weihao Gao; Wenzhi Xiao; Zhirui Wang; Chong Wang 002; Liang Xiang (CoRR, 2022)

DPAUC: Differentially Private AUC Computation in Federated Learning. - Jiankai Sun; Xin Yang 017; Yuanshun Yao; Junyuan Xie; Di Wu; Chong Wang 002 (AAAI, 2023)

Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. - Mimee Xu; Jiankai Sun; Xin Yang 017; Kevin Yao; Chong Wang 002 (CoRR, 2023)