Chong Wang - RankMe

96 papers A* 15A 9B 1Misc 1Journal 47Unranked 22

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2023	J	`jnl`	Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. CoRR Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang
2022	J	`jnl`	Collaborative Anomaly Detection. CoRR Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
2022	J	`jnl`	Counterfactually Evaluating Explanations in Recommender Systems. CoRR Yuanshun Yao, Chong Wang, Hang Li
2022	J	`jnl`	DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2022	J	`jnl`	Differentially Private AUC Computation in Vertical Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang
2022	J	`jnl`	Differentially Private Label Protection in Split Learning. CoRR Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang
2022	J	`jnl`	Differentially Private Multi-Party Data Release for Linear Regression. CoRR Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	A	`conf`	Differentially private multi-party data release for linear regression. UAI Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	J	`jnl`	Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang
2022	A*	`conf`	Label Leakage and Protection in Two-party Split Learning. ICLR Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2022	J	`jnl`	Learning Regularized Positional Encoding for Molecular Prediction. CoRR Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
2022	J	`jnl`	Learning to Counterfactually Explain Recommendations. CoRR Yuanshun Yao, Chong Wang, Hang Li
2022	J	`jnl`	Learning to Simulate Unseen Physical Systems with Graph Neural Networks. CoRR Ce Yang, Weihao Gao, Di Wu, Chong Wang
2022	A	`conf`	PathFlow: A normalizing flow generator that finds transition paths. UAI Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang
2022	J	`jnl`	Supervised Pretraining for Molecular Force Fields and Properties Prediction. CoRR Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
2021	J	`jnl`	Defending against Reconstruction Attack in Vertical Federated Learning. CoRR Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang
2021	J	`jnl`	Label Leakage and Protection in Two-party Split Learning. CoRR Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2021	A	`conf`	Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. CIKM Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu
2021	J	`jnl`	Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. CoRR Tianze Zheng, Weihao Gao, Chong Wang
2021	A*	`conf`	Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. NeurIPS HaiYing Wang, Aonan Zhang, Chong Wang
2021	J	`jnl`	Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. CoRR HaiYing Wang, Aonan Zhang, Chong Wang
2021	J	`jnl`	Vertical Federated Learning without Revealing Intersection Membership. CoRR Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
2020	J	`jnl`	Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. CoRR Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu
2019	J	`jnl`	Feature Partitioning for Efficient Multi-Task Architectures. CoRR Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng
2019	Misc	`conf`	Fully Supervised Speaker Diarization. ICASSP Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang
2019	—	`conf`	Neural Logic Machines. ICLR (Poster) Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
2019	J	`jnl`	Neural Logic Machines. CoRR Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
2019	A*	`conf`	Rate Distortion For Model Compression: From Theory To Practice. ICML Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh
2019	—	`ch.`	Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	J	`jnl`	Attention-based Graph Neural Network for Semi-supervised Learning. CoRR Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li
2018	J	`jnl`	Fully Supervised Speaker Diarization. CoRR Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang
2018	J	`jnl`	Rate Distortion For Model Compression: From Theory To Practice. CoRR Weihao Gao, Chong Wang, Sewoong Oh
2018	A*	`conf`	Subgoal Discovery for Hierarchical Dialogue Policy Learning. EMNLP Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara
2018	J	`jnl`	Subgoal Discovery for Hierarchical Dialogue Policy Learning. CoRR Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara
2018	A*	`conf`	Thoracic Disease Identification and Localization With Limited Supervision. CVPR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	—	`conf`	Towards Neural Phrase-based Machine Translation. ICLR (Poster) Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
2017	J	`jnl`	Neural Phrase-based Machine Translation. CoRR Po-Sen Huang, Chong Wang, Dengyong Zhou, Li Deng
2017	—	`conf`	Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. NIPS Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng
2017	J	`jnl`	Scaffolding Networks for Teaching and Learning to Comprehend. CoRR Asli Celikyilmaz, Li Deng, Lihong Li, Chong Wang
2017	A*	`conf`	Sequence Modeling via Segmentations. ICML Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
2017	J	`jnl`	Sequence Modeling via Segmentations. CoRR Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng
2017	J	`jnl`	Thoracic Disease Identification and Localization with Limited Supervision. CoRR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2017	—	`conf`	TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. ICLR (Poster) Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley
2016	A*	`conf`	Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 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
2016	J	`jnl`	TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. CoRR Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley
2015	J	`jnl`	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR 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
2015	J	`jnl`	Embarrassingly Parallel Variational Inference in Nonconjugate Models. CoRR Willie Neiswanger, Chong Wang, Eric P. Xing
2015	J	`jnl`	Nested Hierarchical Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan
2015	J	`jnl`	Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums. CoRR Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rosé, Eric P. Xing, Miaomiao Wen
2014	A	`conf`	Asymptotically Exact, Embarrassingly Parallel MCMC. UAI Willie Neiswanger, Chong Wang, Eric P. Xing
2014	J	`jnl`	Dynamic Language Models for Streaming Text. Trans. Assoc. Comput. Linguistics Dani Yogatama, Chong Wang, Bryan R. Routledge, Noah A. Smith, Eric P. Xing
2014	A*	`conf`	Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS). KDD Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang
2014	A	`conf`	Modeling Citation Networks Using Latent Random Offsets. UAI Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing
2013	—	`conf`	A Nested HDP for Hierarchical Topic Models ICLR (Workshop) John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan
2013	—	`conf`	An Adaptive Learning Rate for Stochastic Variational Inference. ICML (2) Rajesh Ranganath, Chong Wang, David M. Blei, Eric P. Xing
2013	J	`jnl`	Asymptotically Exact, Embarrassingly Parallel MCMC. CoRR Willie Neiswanger, Chong Wang, Eric P. Xing
2013	J	`jnl`	Community Specific Temporal Topic Discovery from Social Media. CoRR Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui
2013	—	`conf`	Modeling Overlapping Communities with Node Popularities. NIPS Prem Gopalan, Chong Wang, David M. Blei
2013	J	`jnl`	Stochastic variational inference. J. Mach. Learn. Res. Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley
2013	—	`conf`	Variance Reduction for Stochastic Gradient Optimization. NIPS Chong Wang, Xi Chen, Alexander J. Smola, Eric P. Xing
2013	J	`jnl`	Variational inference in nonconjugate models. J. Mach. Learn. Res. Chong Wang, David M. Blei
2012	J	`jnl`	A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process CoRR Chong Wang, David M. Blei
2012	J	`jnl`	Continuous Time Dynamic Topic Models CoRR Chong Wang, David M. Blei, David Heckerman
2012	J	`jnl`	Nested Hierarchical Dirichlet Processes CoRR John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan
2012	J	`jnl`	Stochastic Variational Inference. CoRR Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley
2012	J	`jnl`	Towards the taxonomy-oriented categorization of yellow pages queries. ACM Trans. Internet Techn. Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie
2012	—	`conf`	Truncation-free Online Variational Inference for Bayesian Nonparametric Models. NIPS Chong Wang, David M. Blei
2011	A*	`conf`	Collaborative topic modeling for recommending scientific articles. KDD Chong Wang, David M. Blei
2011	A	`conf`	Online Variational Inference for the Hierarchical Dirichlet Process. AISTATS Chong Wang, John W. Paisley, David M. Blei
2011	A	`conf`	The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. AISTATS John W. Paisley, Chong Wang, David M. Blei
2010	A*	`conf`	Building and using a semantivisual image hierarchy. CVPR Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei
2010	—	`conf`	Fast Large-scale Mixture Modeling with Component-specific Data Partitions. NIPS Bo Thiesson, Chong Wang
2010	A*	`conf`	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
2009	—	`conf`	Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. NIPS Chong Wang, David M. Blei
2009	A	`conf`	Markov Topic Models. AISTATS Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei
2009	—	`conf`	Reading Tea Leaves: How Humans Interpret Topic Models. NIPS Jonathan D. Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei
2009	A*	`conf`	Simultaneous image classification and annotation. CVPR Chong Wang, David M. Blei, Li Fei-Fei
2009	—	`conf`	Variational Inference for the Nested Chinese Restaurant Process. NIPS Chong Wang, David M. Blei
2008	A	`conf`	Continuous Time Dynamic Topic Models. UAI Chong Wang, David M. Blei, David Heckerman
2007	—	`conf`	Exploring LDA-Based Document Model for Geographic Information Retrieval. CLEF Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2007	—	`conf`	MSRA Columbus at GeoCLEF2007. CLEF (Working Notes) Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
2007	—	`conf`	Mining geographic knowledge using location aware topic model. GIR Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma
2007	A*	`conf`	MusicSense: contextual music recommendation using emotional allocation modeling. ACM Multimedia Rui Cai, Chao Zhang, Chong Wang, Lei Zhang, Wei-Ying Ma
2007	—	`conf`	Query Parsing Task for GeoCLEF2007 Report. CLEF (Working Notes) Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
2007	J	`jnl`	Variational Bayesian Approach to Canonical Correlation Analysis. IEEE Trans. Neural Networks Chong Wang
2006	—	`conf`	Indexing implicit locations for geographical information retrieval. GIR Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2006	J	`jnl`	Links between PPCA and subspace methods for complete Gaussian density estimation. IEEE Trans. Neural Networks Chong Wang, Wenyuan Wang
2006	—	`conf`	MSRA Columbus at GeoCLEF 2006. CLEF (Working Notes) Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma
2006	—	`conf`	MSRA Columbus at GeoCLEF 2006. CLEF Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma
2006	—	`conf`	Robust Visual Tracking Via Incremental Maximum Margin Criterion. ISNN (2) Lu Wang, Ming Wen, Chong Wang, Wenyuan Wang
2005	J	`jnl`	An adaptive web page layout structure for small devices. Multim. Syst. Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma
2005	J	`jnl`	Off-line Chinese signature verification based on support vector machines. Pattern Recognit. Lett. Hairong Lv, Wenyuan Wang, Chong Wang, Qing Zhuo
2005	B	`conf`	Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification. PAKDD Chong Wang, Wenyuan Wang
2004	A*	`conf`	Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content. UIST Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma
2004	—	`conf`	Improving Web Browsing on Small Devices Based on Table Classification. PCM (2) Chong Wang, Xing Xie, Wenyuan Wang, Wei-Ying Ma