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ORCIDChong Wang 0002
Person information
- affiliation: ByteDance
- affiliation (former): Google
- affiliation (PhD 2012): Princeton University, NJ, USA
- affiliation (former): Microsoft Research Asia, Sigma Center, Beijing, China
- affiliation (former): Tsinghua University, Department of Automation, Beijing, China
Other persons with the same name
- Chong Wang — disambiguation page
- Chong Wang 0001
![[0000-0001-6016-6545]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6016-6545")
— Ningbo University, Department of Electrical Engineering and Computer Science, China (and 1 more) - Chong Wang 0003 — Dalian University of Technology, China
- Chong Wang 0004 — Wuhan University, State Key Lab of Software Engineering, China
- Chong Wang 0005 — Iowa State University, Department of Veterinary Diagnostic, Ames, IA, USA (and 1 more)
- Chong Wang 0006 — Liaocheng University, School of Mechanical and Automation Engineering, China (and 1 more)
- Chong Wang 0007 — Southeast University, School of Transportation, Nanjing, China
- Chong Wang 0008 — University of Hong Kong
- Chong Wang 0009 — Durham University, UK
- Chong Wang 0010 — Arizona State University, Tempe, USA
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Journal Articles
- 2015
[j9]John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan:
Nested Hierarchical Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 256-270 (2015)- 2014
- [j8]Dani Yogatama, Chong Wang, Bryan R. Routledge, Noah A. Smith, Eric P. Xing:
Dynamic Language Models for Streaming Text. Trans. Assoc. Comput. Linguistics 2: 181-192 (2014) - 2013
- [j7]Chong Wang, David M. Blei:
Variational inference in nonconjugate models. J. Mach. Learn. Res. 14(1): 1005-1031 (2013) - [j6]Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley:
Stochastic variational inference. J. Mach. Learn. Res. 14(1): 1303-1347 (2013) - 2012
- [j5]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): 16:1-16:27 (2012) - 2007
- [j4]Chong Wang:
Variational Bayesian Approach to Canonical Correlation Analysis. IEEE Trans. Neural Networks 18(3): 905-910 (2007) - 2006
- [j3]Chong Wang, Wenyuan Wang:
Links between PPCA and subspace methods for complete Gaussian density estimation. IEEE Trans. Neural Networks 17(3): 789-792 (2006) - 2005
- [j2]Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma:
An adaptive web page layout structure for small devices. Multim. Syst. 11(1): 34-44 (2005) - [j1]Hairong Lv, Wenyuan Wang, Chong Wang, Qing Zhuo:
Off-line Chinese signature verification based on support vector machines. Pattern Recognit. Lett. 26(15): 2390-2399 (2005)
Conference and Workshop Papers
- 2023
- [c42]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. AAAI 2023: 15170-15178 - 2022
- [c41]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. ICLR 2022 - [c40]Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang:
PathFlow: A normalizing flow generator that finds transition paths. UAI 2022: 1232-1242 - [c39]Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang:
Differentially private multi-party data release for linear regression. UAI 2022: 2128-2137 - 2021
- [c38]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: 524-533 - [c37]HaiYing Wang, Aonan Zhang, Chong Wang:
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. NeurIPS 2021: 19847-19859 - 2019
- [c36]Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang:
Fully Supervised Speaker Diarization. ICASSP 2019: 6301-6305 - [c35]Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. ICML 2019: 2102-2111 - 2018
- [c34]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: 8290-8299 - 2017
- [c33]Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley:
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. ICLR (Poster) 2017 - 2016
- [c32]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: 173-182 - 2014
- [c31]Willie Neiswanger, Chong Wang, Eric P. Xing:
Asymptotically Exact, Embarrassingly Parallel MCMC. UAI 2014: 623-632 - [c30]Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing:
Modeling Citation Networks Using Latent Random Offsets. UAI 2014: 633-642 - 2013
- [c29]Rajesh Ranganath, Chong Wang, David M. Blei, Eric P. Xing:
An Adaptive Learning Rate for Stochastic Variational Inference. ICML (2) 2013: 298-306 - [c28]Chong Wang, Xi Chen, Alexander J. Smola, Eric P. Xing:
Variance Reduction for Stochastic Gradient Optimization. NIPS 2013: 181-189 - [c27]Prem Gopalan, Chong Wang, David M. Blei:
Modeling Overlapping Communities with Node Popularities. NIPS 2013: 2850-2858 - [c26]John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan:
A Nested HDP for Hierarchical Topic Models. ICLR (Workshop) 2013 - 2012
- [c25]Chong Wang, David M. Blei:
Truncation-free Online Variational Inference for Bayesian Nonparametric Models. NIPS 2012: 422-430 - 2011
- [c24]Chong Wang, David M. Blei:
Collaborative topic modeling for recommending scientific articles. KDD 2011: 448-456 - [c23]John W. Paisley, Chong Wang, David M. Blei:
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. AISTATS 2011: 74-82 - [c22]Chong Wang, John W. Paisley, David M. Blei:
Online Variational Inference for the Hierarchical Dirichlet Process. AISTATS 2011: 752-760 - 2010
- [c21]Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei:
Building and using a semantivisual image hierarchy. CVPR 2010: 3336-3343 - [c20]Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei:
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML 2010: 1151-1158 - [c19]Bo Thiesson, Chong Wang:
Fast Large-scale Mixture Modeling with Component-specific Data Partitions. NIPS 2010: 2289-2297 - 2009
- [c18]Chong Wang, David M. Blei, Li Fei-Fei:
Simultaneous image classification and annotation. CVPR 2009: 1903-1910 - [c17]Jonathan D. Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei:
Reading Tea Leaves: How Humans Interpret Topic Models. NIPS 2009: 288-296 - [c16]Chong Wang, David M. Blei:
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. NIPS 2009: 1982-1989 - [c15]Chong Wang, David M. Blei:
Variational Inference for the Nested Chinese Restaurant Process. NIPS 2009: 1990-1998 - [c14]Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei:
Markov Topic Models. AISTATS 2009: 583-590 - 2008
- [c13]Chong Wang, David M. Blei, David Heckerman:
Continuous Time Dynamic Topic Models. UAI 2008: 579-586 - 2007
- [c12]Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma:
Query Parsing Task for GeoCLEF2007 Report. CLEF (Working Notes) 2007 - [c11]Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma:
MSRA Columbus at GeoCLEF2007. CLEF (Working Notes) 2007 - [c10]Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma:
Exploring LDA-Based Document Model for Geographic Information Retrieval. CLEF 2007: 842-849 - [c9]Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma:
Mining geographic knowledge using location aware topic model. GIR 2007: 65-70 - [c8]Rui Cai, Chao Zhang, Chong Wang, Lei Zhang, Wei-Ying Ma:
MusicSense: contextual music recommendation using emotional allocation modeling. ACM Multimedia 2007: 553-556 - 2006
- [c7]Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma:
MSRA Columbus at GeoCLEF 2006. CLEF (Working Notes) 2006 - [c6]Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma:
MSRA Columbus at GeoCLEF 2006. CLEF 2006: 926-929 - [c5]Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma:
Indexing implicit locations for geographical information retrieval. GIR 2006 - [c4]Lu Wang, Ming Wen, Chong Wang, Wenyuan Wang:
Robust Visual Tracking Via Incremental Maximum Margin Criterion. ISNN (2) 2006: 398-403 - 2005
- [c3]Chong Wang, Wenyuan Wang:
Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification. PAKDD 2005: 813-819 - 2004
- [c2]Chong Wang, Xing Xie, Wenyuan Wang, Wei-Ying Ma:
Improving Web Browsing on Small Devices Based on Table Classification. PCM (2) 2004: 88-95 - [c1]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: 91-94
Parts in Books or Collections
- 2019
- [p1]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 139-161
Informal and Other Publications
- 2023
- [i32]Mimee Xu, Jiankai Sun, Xin Yang, Kevin Yao, Chong Wang:
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations. CoRR abs/2302.06676 (2023) - 2022
- [i31]Ce Yang, Weihao Gao, Di Wu, Chong Wang:
Learning to Simulate Unseen Physical Systems with Graph Neural Networks. CoRR abs/2201.11976 (2022) - [i30]Yuanshun Yao, Chong Wang, Hang Li:
Counterfactually Evaluating Explanations in Recommender Systems. CoRR abs/2203.01310 (2022) - [i29]Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang:
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. CoRR abs/2203.01451 (2022) - [i28]Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang:
Differentially Private Label Protection in Split Learning. CoRR abs/2203.02073 (2022) - [i27]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
Differentially Private AUC Computation in Vertical Federated Learning. CoRR abs/2205.12412 (2022) - [i26]Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang:
Differentially Private Multi-Party Data Release for Linear Regression. CoRR abs/2206.07998 (2022) - [i25]Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. CoRR abs/2208.12294 (2022) - [i24]Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin:
Collaborative Anomaly Detection. CoRR abs/2209.09923 (2022) - [i23]Yuanshun Yao, Chong Wang, Hang Li:
Learning to Counterfactually Explain Recommendations. CoRR abs/2211.09752 (2022) - [i22]Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang:
Learning Regularized Positional Encoding for Molecular Prediction. CoRR abs/2211.12773 (2022) - [i21]Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang:
Supervised Pretraining for Molecular Force Fields and Properties Prediction. CoRR abs/2211.14429 (2022) - 2021
- [i20]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 abs/2102.08504 (2021) - [i19]Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang:
Vertical Federated Learning without Revealing Intersection Membership. CoRR abs/2106.05508 (2021) - [i18]Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang:
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR abs/2107.09898 (2021) - [i17]HaiYing Wang, Aonan Zhang, Chong Wang:
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data. CoRR abs/2110.13048 (2021) - [i16]Tianze Zheng, Weihao Gao, Chong Wang:
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. CoRR abs/2111.15176 (2021) - 2020
- [i15]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 abs/2007.07203 (2020) - 2018
- [i14]Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li:
Attention-based Graph Neural Network for Semi-supervised Learning. CoRR abs/1803.03735 (2018) - [i13]Aonan Zhang, Quan Wang, Zhenyao Zhu, John W. Paisley, Chong Wang:
Fully Supervised Speaker Diarization. CoRR abs/1810.04719 (2018) - [i12]Weihao Gao, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. CoRR abs/1810.06401 (2018) - 2017
- [i11]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 abs/1711.06373 (2017) - 2016
- [i10]Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley:
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. CoRR abs/1611.01702 (2016) - 2015
- [i9]Willie Neiswanger, Chong Wang, Eric P. Xing:
Embarrassingly Parallel Variational Inference in Nonconjugate Models. CoRR abs/1510.04163 (2015) - [i8]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 abs/1512.02595 (2015) - [i7]Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rosé, Eric P. Xing, Miaomiao Wen:
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums. CoRR abs/1512.03443 (2015) - 2013
- [i6]Willie Neiswanger, Chong Wang, Eric P. Xing:
Asymptotically Exact, Embarrassingly Parallel MCMC. CoRR abs/1311.4780 (2013) - [i5]Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui:
Community Specific Temporal Topic Discovery from Social Media. CoRR abs/1312.0860 (2013) - 2012
- [i4]Chong Wang, David M. Blei:
A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process. CoRR abs/1201.1657 (2012) - [i3]Chong Wang, David M. Blei, David Heckerman:
Continuous Time Dynamic Topic Models. CoRR abs/1206.3298 (2012) - [i2]Matthew D. Hoffman, David M. Blei, Chong Wang, John W. Paisley:
Stochastic Variational Inference. CoRR abs/1206.7051 (2012) - [i1]John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan:
Nested Hierarchical Dirichlet Processes. CoRR abs/1210.6738 (2012)
Coauthor Index
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