Zhu, Chen

43 publications

NeurIPS 2025 AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning Wei Fu, Jiaxuan Gao, Xujie Shen, Chen Zhu, Zhiyu Mei, Chuyi He, Shusheng Xu, Guo Wei, Jun Mei, Wang Jiashu, Tongkai Yang, Binhang Yuan, Yi Wu

ICCV 2025 EA-ViT: Efficient Adaptation for Elastic Vision Transformer Chen Zhu, Wangbo Zhao, Huiwen Zhang, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang

ICML 2025 Think Smarter Not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

ICLRW 2025 Think Smarter Not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

ICCV 2025 VMBench: A Benchmark for Perception-Aligned Video Motion Generation Xinran Ling, Chen Zhu, Meiqi Wu, Hangyu Li, Xiaokun Feng, Cundian Yang, Aiming Hao, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu

NeurIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

NeurIPS 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan

ICML 2024 ODIN: Disentangled Reward Mitigates Hacking in RLHF Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro

NeurIPS 2024 OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation Yaming Guo, Chen Zhu, Hengshu Zhu, Tieru Wu

ICLR 2024 Retrieval Meets Long Context Large Language Models Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro

ICLR 2024 Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou

NeurIPSW 2023 Feature Learning in Infinite-Depth Neural Networks Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou

NeurIPS 2023 On the Exploitability of Instruction Tuning Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein

IJCAI 2023 Physics-Guided Human Motion Capture with Pose Probability Modeling Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao Li, Yangang Wang

ICLR 2022 Diurnal or Nocturnal? Federated Learning of Multi-Branch Networks from Periodically Shifting Distributions Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konečný, Andrew Hard, Tom Goldstein

ICML 2022 Plug-in Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein

ICMLW 2022 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Prior Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Gordon Wilson

NeurIPS 2022 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew G Wilson

CVPR 2022 Robust Optimization as Data Augmentation for Large-Scale Graphs Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein

AAAI 2021 Are Adversarial Examples Created Equal? a Learnable Weighted Minimax Risk for Robustness Under Non-Uniform Attacks Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang

NeurIPSW 2021 Diurnal or Nocturnal? Federated Learning from Periodically Shifting Distributions Chen Zhu, Zheng Xu, Mingqing Chen, Jakub Konečný, Andrew Hard, Tom Goldstein

NeurIPS 2021 GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein

NeurIPS 2021 Long-Short Transformer: Efficient Transformers for Language and Vision Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro

ECML-PKDD 2021 MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

ICLR 2021 The Intrinsic Dimension of Images and Its Impact on Learning Phil Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein

NeurIPS 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks Using Vector Quantization Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein

ICLR 2020 Adversarially Robust Transfer Learning Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David Jacobs, Tom Goldstein

ICLR 2020 Certified Defenses for Adversarial Patches Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studor, Tom Goldstein

ECCVW 2020 Deep k-NN Defense Against Clean-Label Data Poisoning Attacks Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

ICLR 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

NeurIPS 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu

AAAI 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

ICCVW 2019 AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen

ICCVW 2019 Adaptive Densely Connected Single Image Super-Resolution Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li

AAAI 2019 Exploiting the Contagious Effect for Employee Turnover Prediction Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong

ICML 2019 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

IJCAI 2018 A Joint Learning Approach to Intelligent Job Interview Assessment Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong

ICML 2018 Compressing Neural Networks Using the Variational Information Bottleneck Bin Dai, Chen Zhu, Baining Guo, David Wipf

IJCAI 2018 Distortion-Aware CNNs for Spherical Images Qiang Zhao, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, Yongdong Zhang

ECCV 2018 Fine-Grained Video Categorization with Redundancy Reduction Attention Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma

AAAI 2018 Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong

AAAI 2017 Collaborative Company Profiling: Insights from an Employee's Perspective Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong

ICCV 2017 Structured Attentions for Visual Question Answering Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma