Chong Wang

According to our database, Chong Wang authored at least 82 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations.

Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang

CoRR, 2023

DPAUC: Differentially Private AUC Computation in Federated Learning.

Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Supervised Pretraining for Molecular Force Fields and Properties Prediction.

Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

CoRR, 2022

Learning Regularized Positional Encoding for Molecular Prediction.

Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

CoRR, 2022

Learning to Counterfactually Explain Recommendations.

Yuanshun Yao, Chong Wang, Hang Li

CoRR, 2022

Collaborative Anomaly Detection.

Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin

CoRR, 2022

Differentially Private AUC Computation in Vertical Federated Learning.

Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang

CoRR, 2022

Differentially Private Label Protection in Split Learning.

Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang

CoRR, 2022

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.

Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang

CoRR, 2022

Counterfactually Evaluating Explanations in Recommender Systems.

Yuanshun Yao, Chong Wang, Hang Li

CoRR, 2022

Learning to Simulate Unseen Physical Systems with Graph Neural Networks.

Ce Yang, Weihao Gao, Di Wu, Chong Wang

CoRR, 2022

Differentially private multi-party data release for linear regression.

Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

PathFlow: A normalizing flow generator that finds transition paths.

Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Label Leakage and Protection in Two-party Split Learning.

Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks.

Tianze Zheng, Weihao Gao, Chong Wang

CoRR, 2021

Defending against Reconstruction Attack in Vertical Federated Learning.

Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang

CoRR, 2021

Vertical Federated Learning without Revealing Intersection Membership.

Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang

CoRR, 2021

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data.

HaiYing Wang, Aonan Zhang, Chong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.

Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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, Xiaobing Liu

CoRR, 2020

2019

Feature Partitioning for Efficient Multi-Task Architectures.

Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

CoRR, 2019

Rate Distortion For Model Compression: From Theory To Practice.

Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh

Proceedings of the 36th International Conference on Machine Learning, 2019

Neural Logic Machines.

Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

Proceedings of the 7th International Conference on Learning Representations, 2019

Fully Supervised Speaker Diarization.

Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

Thoracic Disease Identification and Localization with Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Rate Distortion For Model Compression: From Theory To Practice.

Weihao Gao, Chong Wang, Sewoong Oh

CoRR, 2018

Attention-based Graph Neural Network for Semi-supervised Learning.

Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li

CoRR, 2018

Towards Neural Phrase-based Machine Translation.

Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

Proceedings of the 6th International Conference on Learning Representations, 2018

Subgoal Discovery for Hierarchical Dialogue Policy Learning.

Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Thoracic Disease Identification and Localization With Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Neural Phrase-based Machine Translation.

Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng

CoRR, 2017

Scaffolding Networks for Teaching and Learning to Comprehend.

Asli Celikyilmaz, Li Deng, Lihong Li, Chong Wang

CoRR, 2017

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes.

Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sequence Modeling via Segmentations.

Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

Proceedings of the 34th International Conference on Machine Learning, 2017

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency.

Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

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, 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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Nested Hierarchical Dirichlet Processes.

John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Embarrassingly Parallel Variational Inference in Nonconjugate Models.

Willie Neiswanger, Chong Wang, Eric P. Xing

CoRR, 2015

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums.

Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rosé, Eric P. Xing, Miaomiao Wen

CoRR, 2015

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, 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

CoRR, 2015

2014

Dynamic Language Models for Streaming Text.

Dani Yogatama, Chong Wang, Bryan R. Routledge, Noah A. Smith, Eric P. Xing

Trans. Assoc. Comput. Linguistics, 2014

Asymptotically Exact, Embarrassingly Parallel MCMC.

Willie Neiswanger, Chong Wang, Eric P. Xing

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Modeling Citation Networks Using Latent Random Offsets.

Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS).

Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Variational inference in nonconjugate models.

Chong Wang, David M. Blei

J. Mach. Learn. Res., 2013

Stochastic variational inference.

Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley

J. Mach. Learn. Res., 2013

A Nested HDP for Hierarchical Topic Models

John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan

Proceedings of the 1st International Conference on Learning Representations, 2013

Community Specific Temporal Topic Discovery from Social Media.

Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui

CoRR, 2013

Variance Reduction for Stochastic Gradient Optimization.

Chong Wang, Xi Chen, Alexander J. Smola, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Modeling Overlapping Communities with Node Popularities.

Prem Gopalan, Chong Wang, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

An Adaptive Learning Rate for Stochastic Variational Inference.

Rajesh Ranganath, Chong Wang, David M. Blei, Eric P. Xing

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Towards the taxonomy-oriented categorization of yellow pages queries.

Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie

ACM Trans. Internet Techn., 2012

A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process

Chong Wang, David M. Blei

CoRR, 2012

Truncation-free Online Variational Inference for Bayesian Nonparametric Models.

Chong Wang, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Online Variational Inference for the Hierarchical Dirichlet Process.

Chong Wang, John W. Paisley, David M. Blei

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling.

John W. Paisley, Chong Wang, David M. Blei

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Collaborative topic modeling for recommending scientific articles.

Chong Wang, David M. Blei

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Fast Large-scale Mixture Modeling with Component-specific Data Partitions.

Bo Thiesson, Chong Wang

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling.

Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Building and using a semantivisual image hierarchy.

Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Markov Topic Models.

Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process.

Chong Wang, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Variational Inference for the Nested Chinese Restaurant Process.

Chong Wang, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Reading Tea Leaves: How Humans Interpret Topic Models.

Jonathan D. Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Simultaneous image classification and annotation.

Chong Wang, David M. Blei, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Continuous Time Dynamic Topic Models.

Chong Wang, David M. Blei, David Heckerman

Proceedings of the UAI 2008, 2008

2007

Variational Bayesian Approach to Canonical Correlation Analysis.

Chong Wang

IEEE Trans. Neural Networks, 2007

MusicSense: contextual music recommendation using emotional allocation modeling.

Rui Cai, Chao Zhang, Chong Wang, Lei Zhang, Wei-Ying Ma

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Mining geographic knowledge using location aware topic model.

Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma

Proceedings of the 4th ACM Workshop On Geographic Information Retrieval, 2007

Exploring LDA-Based Document Model for Geographic Information Retrieval.

Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma

Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

MSRA Columbus at GeoCLEF2007.

Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma

Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Query Parsing Task for GeoCLEF2007 Report.

Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma

Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

2006

Links between PPCA and subspace methods for complete Gaussian density estimation.

Chong Wang, Wenyuan Wang

IEEE Trans. Neural Networks, 2006

Robust Visual Tracking Via Incremental Maximum Margin Criterion.

Lu Wang, Ming Wen, Chong Wang, Wenyuan Wang

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Indexing implicit locations for geographical information retrieval.

Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma

Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006

MSRA Columbus at GeoCLEF 2006.

Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma

Proceedings of the Evaluation of Multilingual and Multi-modal Information Retrieval, 2006

MSRA Columbus at GeoCLEF 2006.

Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma

Proceedings of the Working Notes for CLEF 2006 Workshop co-located with the 10th European Conference on Digital Libraries (ECDL 2006), 2006

2005

Off-line Chinese signature verification based on support vector machines.

Hairong Lv, Wenyuan Wang, Chong Wang, Qing Zhuo

Pattern Recognit. Lett., 2005

An adaptive web page layout structure for small devices.

Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma

Multim. Syst., 2005

Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification.

Chong Wang, Wenyuan Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

2004

Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content.

Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma

Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004

Improving Web Browsing on Small Devices Based on Table Classification.

Chong Wang, Xing Xie, Wenyuan Wang, Wei-Ying Ma

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004