Yisen Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 153

Top Venues

CoRR

NeurIPS

ICLR

ICML

Publications

Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang
Studious Bob Fight Back Against Jailbreaking via Prompt Adversarial Tuning. CoRR (2024)
Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
A Message Passing Perspective on Learning Dynamics of Contrastive Learning. ICLR (2023)
Qi Zhang, Yifei Wang, Yisen Wang
Identifiable Contrastive Learning with Automatic Feature Importance Discovery. CoRR (2023)
Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang
CFA: Class-wise Calibrated Fair Adversarial Training. CoRR (2023)
Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
Adversarial Examples Are Not Real Features. CoRR (2023)
Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond. CoRR (2023)
Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective. NeurIPS (2023)
Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning. CoRR (2023)
Zeming Wei, Yifei Wang, Yisen Wang
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations. CoRR (2023)
Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond. ICLR (2023)
Rundong Luo, Yifei Wang, Yisen Wang
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning. ICLR (2023)
Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. ICLR (2023)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. CoRR (2023)
Jiangyan Ma, Yifei Wang, Yisen Wang
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding. CoRR (2023)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
SPIDE: A purely spike-based method for training feedback spiking neural networks. Neural Networks 161 (2023)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. CoRR (2023)
Rundong Luo, Yifei Wang, Yisen Wang
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning. CoRR (2023)
Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
Rethinking Weak Supervision in Helping Contrastive Learning. CoRR (2023)
Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. AAAI (2023)
George Ma, Yifei Wang, Yisen Wang
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding. NeurIPS (2023)
Yang Bai, Yisen Wang, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia
Query efficient black-box adversarial attack on deep neural networks. Pattern Recognit. 133 (2023)
Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations. ICLR (2023)
Chen Liu, Hongyu Zang, Xin Li, Yong Heng, Yifei Wang, Zhen Fang, Yisen Wang, Mingzhong Wang
Towards Control-Centric Representations in Reinforcement Learning from Images. CoRR (2023)
Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
A Message Passing Perspective on Learning Dynamics of Contrastive Learning. CoRR (2023)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. ICCV (2023)
Qi Zhang, Yifei Wang, Yisen Wang
On the Generalization of Multi-modal Contrastive Learning. ICML (2023)
Hongjun Wang, Yisen Wang
Generalist: Decoupling Natural and Robust Generalization. CoRR (2023)
Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
Rethinking Weak Supervision in Helping Contrastive Learning. ICML (2023)
Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective. CoRR (2023)
Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States. ICLR (2023)
Hongjun Wang, Yisen Wang
Generalist: Decoupling Natural and Robust Generalization. CVPR (2023)
Mingjie Li, Yisen Wang, Zhouchen Lin
GEQ: Gaussian Kernel Inspired Equilibrium Models. NeurIPS (2023)
Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang
CFA: Class-Wise Calibrated Fair Adversarial Training. CVPR (2023)
Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. CoRR (2023)
Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin
CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters. ICML (2022)
Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Optimization-Induced Graph Implicit Nonlinear Diffusion. CoRR (2022)
Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. ICLR (2022)
Quanshi Zhang, Xin Wang, Jie Ren, Xu Cheng, Shuyun Lin, Yisen Wang, Xiangming Zhu
Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability. CoRR (2022)
Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap. CoRR (2022)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. NeurIPS (2022)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CoRR (2022)
Mingjie Li, Yisen Wang, Xingyu Xie, Zhouchen Lin
Optimization inspired Multi-Branch Equilibrium Models. ICLR (2022)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. CoRR (2022)
Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. Big Data (2022)
Hongjun Wang, Yisen Wang
Self-Ensemble Adversarial Training for Improved Robustness. CoRR (2022)
Yiwen Kou, Qinyuan Zheng, Yisen Wang
Certified Adversarial Robustness Under the Bounded Support Set. ICML (2022)
Qi Zhang, Yifei Wang, Yisen Wang
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. NeurIPS (2022)
Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Training much deeper spiking neural networks with a small number of time-steps. Neural Networks 153 (2022)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. ICLR (2022)
Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. CVPR (2022)
Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. CoRR (2022)
Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. CoRR (2022)
Hongjun Wang, Yisen Wang
Self-ensemble Adversarial Training for Improved Robustness. ICLR (2022)
Qi Zhang, Yifei Wang, Yisen Wang
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders. CoRR (2022)
Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. CoRR (2022)
Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Optimization-Induced Graph Implicit Nonlinear Diffusion. ICML (2022)
Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. NeurIPS (2022)
Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin
Leveraged Weighted Loss for Partial Label Learning. CoRR (2021)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. NeurIPS (2021)
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang
Analysis and Applications of Class-wise Robustness in Adversarial Training. CoRR (2021)
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. NeurIPS (2021)
Dantong Niu, Ruohao Guo, Yisen Wang
Moiré Attack (MA): A New Potential Risk of Screen Photos. CoRR (2021)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Dissecting the Diffusion Process in Linear Graph Convolutional Networks. CoRR (2021)
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML (2021)
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang
Analysis and Applications of Class-wise Robustness in Adversarial Training. KDD (2021)
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang
Game-theoretic Understanding of Adversarially Learned Features. CoRR (2021)
Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Residual Relaxation for Multi-view Representation Learning. NeurIPS (2021)
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
Improving Adversarial Robustness via Channel-wise Activation Suppressing. ICLR (2021)
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
Improving Adversarial Robustness via Channel-wise Activation Suppressing. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. ICLR (2021)
Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Residual Relaxation for Multi-view Representation Learning. CoRR (2021)
Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang
Clustering Effect of Adversarial Robust Models. NeurIPS (2021)
Wenbin Ouyang, Yisen Wang, Shaochen Han, Zhejian Jin, Paul Weng
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers. SSCI (2021)
Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
A Unified Approach to Interpreting and Boosting Adversarial Transferability. ICLR (2021)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Dissecting the Diffusion Process in Linear Graph Convolutional Networks. NeurIPS (2021)
Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks. NeurIPS (2021)
Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
GBHT: Gradient Boosting Histogram Transform for Density Estimation. CoRR (2021)
Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. CoRR (2021)
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Reparameterized Sampling for Generative Adversarial Networks. ECML/PKDD (3) (2021)
Zhirui Wang, Yifei Wang, Yisen Wang
Fooling Adversarial Training with Inducing Noise. CoRR (2021)
Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
On Training Implicit Models. NeurIPS (2021)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State. CoRR (2021)
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
On the Convergence and Robustness of Adversarial Training. CoRR (2021)
Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS (2021)
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron C. Courville
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? CoRR (2021)
Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
On Training Implicit Models. CoRR (2021)
Dongxian Wu, Yisen Wang
Adversarial Neuron Pruning Purifies Backdoored Deep Models. NeurIPS (2021)
Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang
Clustering Effect of (Linearized) Adversarial Robust Models. CoRR (2021)
Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin
Efficient Equivariant Network. NeurIPS (2021)
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR (2021)
Wenbin Ouyang, Yisen Wang, Shaochen Han, Zhejian Jin, Paul Weng
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers. CoRR (2021)
Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin
Gauge Equivariant Transformer. NeurIPS (2021)
Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han
Generalization in Deep RL for TSP Problems via Equivariance and Local Search. CoRR (2021)
Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks. CoRR (2021)
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space. CoRR (2021)
Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin
GBHT: Gradient Boosting Histogram Transform for Density Estimation. ICML (2021)
Dongxian Wu, Yisen Wang
Adversarial Neuron Pruning Purifies Backdoored Deep Models. CoRR (2021)
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
Understanding adversarial attacks on deep learning based medical image analysis systems. Pattern Recognit. 110 (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. CoRR (2021)
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
A Unified Game-Theoretic Interpretation of Adversarial Robustness. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yisen Wang