Chen, Ning

29 publications

ICCV 2025 Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Zuyu Zhang, Ning Chen, Yongshan Liu, Qinghua Zhang, Xu Zhang

NeurIPS 2023 EV-Eye: Rethinking High-Frequency Eye Tracking Through the Lenses of Event Cameras Guangrong Zhao, Yurun Yang, Jingwei Liu, Ning Chen, Yiran Shen, Hongkai Wen, Guohao Lan

CVPR 2023 Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu

ICCV 2023 Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei

IJCAI 2022 Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu

IJCAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen

IJCAI 2021 Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting Qingyi Pan, Wenbo Hu, Ning Chen

IJCAI 2020 Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding Ke Wang, Xuyan Chen, Ning Chen, Ting Chen

ICLR 2020 Rethinking SoftMax Cross-Entropy Loss for Adversarial Robustness Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu

ICML 2019 Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu

IJCAI 2019 Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao

ICML 2018 Message Passing Stein Variational Gradient Descent Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang

IJCAI 2017 Cake Cutting: Envy and Truth Xiaohui Bei, Ning Chen, Guangda Huzhang, Biaoshuai Tao, Jiajun Wu

AAAI 2017 Learning Attributes from the Crowdsourced Relative Labels Tian Tian, Ning Chen, Jun Zhu

AAAI 2016 Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang

AAAI 2016 Incentives for Strategic Behavior in Fisher Market Games Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang

AAAI 2016 Nonlinear Feature Extraction with Max-Margin Data Shifting Jianqiao Wangni, Ning Chen

JMLR 2014 Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs Jun Zhu, Ning Chen, Eric P. Xing

AAAI 2014 Dropout Training for Support Vector Machines Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang

JMLR 2014 Gibbs Max-Margin Topic Models with Data Augmentation Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang

IJCAI 2013 Generalized Relational Topic Models with Data Augmentation Ning Chen, Jun Zhu, Fei Xia, Bo Zhang

ICML 2013 Gibbs Max-Margin Topic Models with Fast Sampling Algorithms Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang

AAAI 2012 Computing the Nucleolus of Matching, Cover and Clique Games Ning Chen, Pinyan Lu, Hongyang Zhang

AAAI 2012 Optimal Proportional Cake Cutting with Connected Pieces Xiaohui Bei, Ning Chen, Xia Hua, Biaoshuai Tao, Endong Yang

IJCAI 2011 A Market Clearing Solution for Social Lending Ning Chen, Arpita Ghosh

IJCAI 2011 Dynamics of Profit-Sharing Games John Augustine, Ning Chen, Edith Elkind, Angelo Fanelli, Nick Gravin, Dmitry Shiryaev

NeurIPS 2011 Infinite Latent SVM for Classification and Multi-Task Learning Jun Zhu, Ning Chen, Eric P. Xing

ICML 2011 Infinite SVM: A Dirichlet Process Mixture of Large-Margin Kernel Machines Jun Zhu, Ning Chen, Eric P. Xing

NeurIPS 2010 Predictive Subspace Learning for Multi-View Data: A Large Margin Approach Ning Chen, Jun Zhu, Eric P. Xing