Chong Wang

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 23

Top Topics

Hierarchical Dirichlet Process

Speech Recognition

Top Venues

J. Mach. Learn. Res.

Publications

Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI (2023)
Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. CoRR (2023)
Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
Collaborative Anomaly Detection. CoRR (2022)
Ce Yang, Weihao Gao, Di Wu, Chong Wang
Learning to Simulate Unseen Physical Systems with Graph Neural Networks. CoRR (2022)
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Supervised Pretraining for Molecular Force Fields and Properties Prediction. CoRR (2022)
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Learning Regularized Positional Encoding for Molecular Prediction. CoRR (2022)
Tianze Zheng, Weihao Gao, Chong Wang
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. CoRR (2021)
Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. CIKM (2021)
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
Label Leakage and Protection in Two-party Split Learning. CoRR (2021)
HaiYing Wang, Aonan Zhang, Chong Wang
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. NeurIPS (2021)
Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR (2021)
Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
Vertical Federated Learning without Revealing Intersection Membership. CoRR (2021)
Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. CoRR (2020)
Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang
Fully Supervised Speaker Diarization. ICASSP (2019)
Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh
Rate Distortion For Model Compression: From Theory To Practice. ICML (2019)
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
Thoracic Disease Identification and Localization With Limited Supervision. CVPR (2018)
Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang
Fully Supervised Speaker Diarization. CoRR (2018)
Weihao Gao, Chong Wang, Sewoong Oh
Rate Distortion For Model Compression: From Theory To Practice. CoRR (2018)
Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li
Attention-based Graph Neural Network for Semi-supervised Learning. CoRR (2018)
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
Thoracic Disease Identification and Localization with Limited Supervision. CoRR (2017)
Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. ICLR (Poster) (2017)
Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. CoRR (2016)
Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML (2016)
John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan
Nested Hierarchical Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn Penstein Rosé, Eric P. Xing, Miaomiao Wen
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums. CoRR (2015)
Willie Neiswanger, Chong Wang, Eric P. Xing
Embarrassingly Parallel Variational Inference in Nonconjugate Models. CoRR (2015)
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR (2015)
Dani Yogatama, Chong Wang, Bryan R. Routledge, Noah A. Smith, Eric P. Xing
Dynamic Language Models for Streaming Text. Trans. Assoc. Comput. Linguistics 2 (2014)
Willie Neiswanger, Chong Wang, Eric P. Xing
Asymptotically Exact, Embarrassingly Parallel MCMC. UAI (2014)
Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing
Modeling Citation Networks Using Latent Random Offsets. UAI (2014)
Prem Gopalan, Chong Wang, David M. Blei
Modeling Overlapping Communities with Node Popularities. NIPS (2013)
Rajesh Ranganath, Chong Wang, David M. Blei, Eric P. Xing
An Adaptive Learning Rate for Stochastic Variational Inference. ICML (2) (2013)
Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley
Stochastic variational inference. J. Mach. Learn. Res. 14 (1) (2013)
Chong Wang, David M. Blei
Variational inference in nonconjugate models. J. Mach. Learn. Res. 14 (1) (2013)
Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui
Community Specific Temporal Topic Discovery from Social Media. CoRR (2013)
John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan
A Nested HDP for Hierarchical Topic Models ICLR (Workshop) (2013)
Chong Wang, Xi Chen, Alexander J. Smola, Eric P. Xing
Variance Reduction for Stochastic Gradient Optimization. NIPS (2013)
Willie Neiswanger, Chong Wang, Eric P. Xing
Asymptotically Exact, Embarrassingly Parallel MCMC. CoRR (2013)
John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan
Nested Hierarchical Dirichlet Processes CoRR (2012)
Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley
Stochastic Variational Inference. CoRR (2012)
Chong Wang, David M. Blei
Truncation-free Online Variational Inference for Bayesian Nonparametric Models. NIPS (2012)
Chong Wang, David M. Blei, David Heckerman
Continuous Time Dynamic Topic Models CoRR (2012)
Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie
Towards the taxonomy-oriented categorization of yellow pages queries. ACM Trans. Internet Techn. 11 (4) (2012)
Chong Wang, David M. Blei
A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process CoRR (2012)
Chong Wang, David M. Blei
Collaborative topic modeling for recommending scientific articles. KDD (2011)
John W. Paisley, Chong Wang, David M. Blei
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. AISTATS (2011)
Chong Wang, John W. Paisley, David M. Blei
Online Variational Inference for the Hierarchical Dirichlet Process. AISTATS (2011)
Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML (2010)
Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei
Building and using a semantivisual image hierarchy. CVPR (2010)
Bo Thiesson, Chong Wang
Fast Large-scale Mixture Modeling with Component-specific Data Partitions. NIPS (2010)
Chong Wang, David M. Blei
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. NIPS (2009)
Jonathan D. Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei
Reading Tea Leaves: How Humans Interpret Topic Models. NIPS (2009)
Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei
Markov Topic Models. AISTATS (2009)
Chong Wang, David M. Blei
Variational Inference for the Nested Chinese Restaurant Process. NIPS (2009)
Chong Wang, David M. Blei, Li Fei-Fei
Simultaneous image classification and annotation. CVPR (2009)
Chong Wang, David M. Blei, David Heckerman
Continuous Time Dynamic Topic Models. UAI (2008)
Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma
Mining geographic knowledge using location aware topic model. GIR (2007)
Rui Cai, Chao Zhang, Chong Wang, Lei Zhang, Wei-Ying Ma
MusicSense: contextual music recommendation using emotional allocation modeling. ACM Multimedia (2007)
Chong Wang
Variational Bayesian Approach to Canonical Correlation Analysis. IEEE Trans. Neural Networks 18 (3) (2007)
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
Exploring LDA-Based Document Model for Geographic Information Retrieval. CLEF (2007)
Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
Query Parsing Task for GeoCLEF2007 Report. CLEF (Working Notes) (2007)
Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
MSRA Columbus at GeoCLEF2007. CLEF (Working Notes) (2007)
Chong Wang, Wenyuan Wang
Links between PPCA and subspace methods for complete Gaussian density estimation. IEEE Trans. Neural Networks 17 (3) (2006)
Lu Wang, Ming Wen, Chong Wang, Wenyuan Wang
Robust Visual Tracking Via Incremental Maximum Margin Criterion. ISNN (2) (2006)
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
MSRA Columbus at GeoCLEF 2006. CLEF (2006)
Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
Indexing implicit locations for geographical information retrieval. GIR (2006)
Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
MSRA Columbus at GeoCLEF 2006. CLEF (Working Notes) (2006)
Hairong Lv, Wenyuan Wang, Chong Wang, Qing Zhuo
Off-line Chinese signature verification based on support vector machines. Pattern Recognit. Lett. 26 (15) (2005)
Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma
An adaptive web page layout structure for small devices. Multim. Syst. 11 (1) (2005)
Chong Wang, Wenyuan Wang
Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification. PAKDD (2005)
Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma
Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content. UIST (2004)
Chong Wang, Xing Xie, Wenyuan Wang, Wei-Ying Ma
Improving Web Browsing on Small Devices Based on Table Classification. PCM (2) (2004)