Wang, Chong

65 publications

ICLR 2025 Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity Yizhuo Lu, Changde Du, Chong Wang, Xuanliu Zhu, Liuyun Jiang, Xujin Li, Huiguang He

ICML 2025 CommVQ: Commutative Vector Quantization for KV Cache Compression Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan

AAAI 2025 Differential Private Stochastic Optimization with Heavy-Tailed Data: Towards Optimal Rates Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li

ICML 2025 Instruction-Following Pruning for Large Language Models Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei

AAAI 2025 J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain Yiran Hu, Huanghai Liu, Qingjing Chen, Ning Zheng, Chong Wang, Yun Liu, Charles L. A. Clarke, Weixing Shen

CVPR 2025 Reconciling Stochastic and Deterministic Strategies for Zero-Shot Image Restoration Using Diffusion Model in Dual Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex C. Kot, Bihan Wen

ICLR 2025 Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

AAAI 2025 UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu

ECCV 2024 CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro

ECCV 2024 MM1: Methods, Analysis & Insights from Multimodal LLM Pre-Training Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Samuel Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Futang Peng, Anton Belyi, Max A Schwarzer, Hongyu Hè, Xianzhi Du, Haotian Zhang, Karanjeet Singh, Doug Kang, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CVPR 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen

ECCV 2024 STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex Kot, Bihan Wen

ECCV 2024 Temporal as a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers Zixuan Fu, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li, Bihan Wen

CVPR 2024 Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro

ICCV 2023 BoMD: Bag of Multi-Label Descriptors for Noisy Chest X-Ray Classification Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro

ICCV 2023 Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen

AAAI 2023 DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang

ICLR 2023 Efficient Attention via Control Variates Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong

ICCV 2023 Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy, Helen Frazer, Gustavo Carneiro

CVPR 2023 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen

UAI 2022 Differentially Private Multi-Party Data Release for Linear Regression Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Q. Kilian Weinberger, Chong Wang

ICML 2022 Fourier Learning with Cyclical Data Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang

ICLR 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

NeurIPSW 2022 Learning Regularized Positional Encoding for Molecular Prediction Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

ICML 2022 Linear Complexity Randomized Self-Attention Mechanism Lin Zheng, Chong Wang, Lingpeng Kong

NeurIPSW 2022 Netflix and Forget: Fast Severance from Memorizing Training Data in Recommendations Mimee Xu, Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang

UAI 2022 PathFlow: A Normalizing Flow Generator That Finds Transition Paths Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang

NeurIPSW 2022 Supervised Pretraining for Molecular Force Fields and Properties Prediction Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

NeurIPSW 2021 Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks Tianze Zheng, Weihao Gao, Chong Wang

NeurIPSW 2021 Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang, Weihao Gao, Di Wu, Chong Wang

NeurIPS 2021 Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data HaiYing Wang, Aonan Zhang, Chong Wang

AAAI 2020 Discovery News: A Generic Framework for Financial News Recommendation Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu

ICLR 2020 Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

ICLR 2019 Neural Logic Machines Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

ICML 2019 Rate Distortion for Model Compression:From Theory to Practice Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh

AAAI 2019 Robust Deep Co-Saliency Detection with Group Semantic Chong Wang, Zheng-Jun Zha, Dong Liu, Hongtao Xie

ICLR 2018 Towards Neural Phrase-Based Machine Translation Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

ICCVW 2017 How to Train Triplet Networks with 100k Identities? Chong Wang, Xipeng Lan, Xue Zhang

NeurIPS 2017 Q-LDA: Uncovering Latent Patterns in Text-Based Sequential Decision Processes Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng

ICML 2017 Sequence Modeling via Segmentations Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

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

ICML 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, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu

UAI 2014 Asymptotically Exact, Embarrassingly Parallel MCMC Willie Neiswanger, Chong Wang, Eric P. Xing

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

ECCV 2014 Weakly Supervised Object Localization with Latent Category Learning Chong Wang, Weiqiang Ren, Kaiqi Huang, Tieniu Tan

ICLR 2013 A Nested HDP for Hierarchical Topic Models John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan

ICML 2013 An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath, Chong Wang, Blei David, Eric Xing

JMLR 2013 Bayesian Canonical Correlation Analysis Chong Wang, David M. Blei

NeurIPS 2013 Modeling Overlapping Communities with Node Popularities Prem Gopalan, Chong Wang, David Blei

JMLR 2013 Stochastic Variational Inference Matthew D. Hoffman, David M. Blei, Chong Wang, John Paisley

NeurIPS 2013 Variance Reduction for Stochastic Gradient Optimization Chong Wang, Xi Chen, Alexander J Smola, Eric P Xing

ICML 2012 Latent Collaborative Retrieval Jason Weston, Chong Wang, Ron J. Weiss, Adam Berenzweig

NeurIPS 2012 Truncation-Free Online Variational Inference for Bayesian Nonparametric Models Chong Wang, David M. Blei

CVPR 2011 Exploring Relations of Visual Codes for Image Classification Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan

AISTATS 2011 Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang, John Paisley, David M. Blei

AISTATS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling John Paisley, Chong Wang, David Blei

CVPR 2010 Building and Using a Semantivisual Image Hierarchy Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei

NeurIPS 2010 Fast Large-Scale Mixture Modeling with Component-Specific Data Partitions Bo Thiesson, Chong Wang

ICML 2010 The IBP Compound Dirichlet Process and Its Application to Focused Topic Modeling Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei

NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang, David M. Blei

AISTATS 2009 Markov Topic Models Chong Wang, Bo Thiesson, Chris Meek, David Blei

NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-graber, David M. Blei

CVPR 2009 Simultaneous Image Classification and Annotation Chong Wang, David M. Blei, Li Fei-Fei

NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process Chong Wang, David M. Blei

UAI 2008 Continuous Time Dynamic Topic Models Chong Wang, David M. Blei, David Heckerman