vix.ing · top · new · best · stats · spec

Yisen Wang

  1. Symmetric Cross Entropy for Robust Learning with Noisy Labels
    2019/08/16 by Yisen Wang, Xingjun Ma, Wang, Yisen +9 · 39 citations
    Computer Science · Engineering · #Machine Learning and Data Classification #Water Systems and Optimization #Anomaly Detection Techniques and Applications
  2. Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
    2018/01/08 by Xingjun Ma, Bo Li, Ma, Xingjun +15 · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Physical Unclonable Functions (PUFs) and Hardware Security
  3. Normalized Loss Functions for Deep Learning with Noisy Labels
    2020/06/24 by Xingjun Ma, Hanxun Huang, Ma, Xingjun +9 · 19 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Music and Audio Processing
  4. When More is Less: Understanding Chain-of-Thought Length in LLMs
    2025/02/11 by Yuyang Wu, Yifei Wang, Wu, Yuyang +8 · 48 citations
    Decision Sciences · #Scientific Computing and Data Management
  5. Unlearnable Examples: Making Personal Data Unexploitable
    2021/01/13 by Hanxun Huang, Huang, Hanxun, Xingjun Ma +7 · 14 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  6. Adversarial Neuron Pruning Purifies Backdoored Deep Models
    2021/10/27 by Dongxian Wu, Wu, Dongxian, Yisen Wang +1 · 12 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. On the Convergence and Robustness of Adversarial Training
    2021/12/15 by Yisen Wang, Wang, Yisen, Xingjun Ma +9 · 10 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG)
  8. Dissecting the Diffusion Process in Linear Graph Convolutional Networks
    2021/02/22 by Yifei Wang, Wang, Yifei, Yisen Wang +5 · 8 citations
    Computer Science · #Advanced Graph Neural Networks #Caching and Content Delivery #Software-Defined Networks and 5G
  9. What is Wrong with Perplexity for Long-context Language Modeling?
    2024/10/31 by Fang, Lizhe, Yifei Wang, Zhaoyang Liu +12 · 16 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  10. How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
    2022/10/15 by Qi Zhang, Zhang, Qi, Yifei Wang +3 · 8 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #AI in cancer detection
  11. Dimensionality-Driven Learning with Noisy Labels
    2018/06/07 by Xingjun Ma, Ma, Xingjun, Yisen Wang +13 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  12. When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
    2022/10/14 by Yichuan Mo, Dongxian Wu, Mo, Yichuan +7 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
    2022/03/25 by Yifei Wang, Wang, Yifei, Qi Zhang +7 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. CFA: Class-wise Calibrated Fair Adversarial Training
    2023/03/25 by Zeming Wei, Wei, Zeming, Yifei Wang +5 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
    2021/10/07 by Hanxun Huang, Yisen Wang, Huang, Hanxun +9 · 4 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation
    2024/10/11 by Zijun Wang, Haoqin Tu, Wang, Zijun +9 · 9 citations
    Computer Science · #Digital and Cyber Forensics #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques
  17. A Theoretical Understanding of Self-Correction through In-context Alignment
    2024/05/28 by Yifei Wang, Yuyang Wu, Wang, Yifei +7 · 8 citations
    Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimedia Communication and Technology
  18. Can In-context Learning Really Generalize to Out-of-distribution Tasks?
    2024/10/13 by Qixun Wang, Wang, Qixun, Yifei Wang +5 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  19. Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
    2021/09/29 by Qingyan Meng, Xiao, Mingqing, Meng, Qingyan +6 · 4 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  20. ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
    2023/03/12 by Xiaojun Guo, Guo, Xiaojun, Yifei Wang +5 · 4 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  21. A Canonicalization Perspective on Invariant and Equivariant Learning
    2024/05/28 by George Ma, Ma, George, Yifei Wang +7 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  22. Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
    2023/03/04 by Zhijian Zhuo, Yifei Wang, Zhuo, Zhijian +5 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #AI and Multimedia in Education #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Fight Back Against Jailbreaking via Prompt Adversarial Tuning
    2024/02/09 by Yichuan Mo, Yuji Wang, Mo, Yichuan +5 · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Law in Society and Culture #Machine Learning (cs.LG)
  24. Generalist: Decoupling Natural and Robust Generalization
    2023/03/24 by Hongjun Wang, Yisen Wang, Wang, Hongjun +1 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
  25. Generalization in Deep RL for TSP Problems via Equivariance and Local Search
    2021/10/07 by Wenbin Ouyang, Ouyang, Wenbin, Yisen Wang +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Reinforcement Learning in Robotics
  26. Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
    2024/10/27 by Qi Zhang, Yifei Wang, Zhang, Qi +11 · 3 citations
    Computer Science · #Natural Language Processing Techniques
  27. PID: Prompt-Independent Data Protection Against Latent Diffusion Models
    2024/06/14 by Ang Li, Li, Ang, Yichuan Mo +5 · 3 citations
    Computer Science · Social Sciences · #Access Control and Trust #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data
  28. A Message Passing Perspective on Learning Dynamics of Contrastive Learning
    2023/03/08 by Yifei Wang, Wang, Yifei, Qi Zhang +9 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  29. CycleHOI: Improving Human-Object Interaction Detection with Cycle Consistency of Detection and Generation
    2024/07/16 by Yisen Wang, Yao Teng, Wang, Yisen +3 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  30. Dissecting the Failure of Invariant Learning on Graphs
    2024/11/05 by Qixun Wang, Wang, Qixun, Yifei Wang +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG)
  31. R3-VQA: "Read the Room" by Video Social Reasoning
    2025/05/07 by Lixing Niu, Niu, Lixing, Jiapeng Li +15 · 4 citations
    Computer Science · Psychology · #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI) #Social Robot Interaction and HRI
  32. Improving Query Efficiency of Black-box Adversarial Attack
    2020/09/24 by Yang Bai, Yuyuan Zeng, Bai, Yang +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
  33. Monet: Reasoning in Latent Visual Space Beyond Images and Language
    2025/11/26 by Qixun Wang, Wang, Qixun, Yang Shi +13 · 5 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Visual Attention and Saliency Detection
  34. Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
    2021/10/06 by Wenbin Ouyang, Ouyang, Wenbin, Yisen Wang +7 · 1 citation
    Engineering · Computer Science · #Vehicle Routing Optimization Methods #Metaheuristic Optimization Algorithms Research #Reinforcement Learning in Robotics
  35. Moiré Attack (MA): A New Potential Risk of Screen Photos
    2021/10/20 by Dantong Niu, Ruohao Guo, Niu, Dantong +3 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  36. A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
    2022/03/25 by Yifei Wang, Wang, Yifei, Yisen Wang +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  37. Optimization-Induced Graph Implicit Nonlinear Diffusion
    2022/06/29 by Qi Chen, Yifei Wang, Chen, Qi +7 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #Machine Learning and ELM
  38. Incorporating Arbitrary Matrix Group Equivariance into KANs
    2024/10/01 by Lexiang Hu, Hu, Lexiang, Yisen Wang +3 · 2 citations
    Computer Science · #Cognitive Computing and Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
    2023/03/02 by Rundong Luo, Yifei Wang, Luo, Rundong +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. On the Generalization of Multi-modal Contrastive Learning
    2023/06/07 by Qi Zhang, Zhang, Qi, Yifei Wang +3 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Multimodal Machine Learning Applications #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning
  41. G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
    2025/05/24 by Ang Li, Guo, Xiaojun, Li, Ang +6 · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Semantic Web and Ontologies #Software Engineering Research
  42. Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
    2023/11/05 by Xiaojun Guo, Guo, Xiaojun, Yifei Wang +5 · 1 citation
    Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Health Literacy and Information Accessibility #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  43. Non-negative Contrastive Learning
    2024/03/19 by Yifei Wang, Wang, Yifei, Qi Zhang +5 · 1 citation
    Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Early Childhood Education and Development #Emotional Intelligence and Performance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychological and Educational Research Studies
  44. Adversarial Weight Perturbation Helps Robust Generalization
    2020/04/13 by Dongxian Wu, Shu‐Tao Xia, Wu, Dongxian +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  45. Projection Head is Secretly an Information Bottleneck
    2025/03/01 by Ouyang, Zhuo, Kaiwen Hu, Qi Zhang +6 · 3 citations
    Arts and Humanities · #Ancient Egypt and Archaeology
  46. Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval
    2025/05/21 by Taiye Chen, Chen, Taiye, Zeming Wei +5 · 2 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. Rethinking Invariance in In-context Learning
    2025/05/08 by Fang, Lizhe, Yifei Wang, Khashayar Gatmiry +6 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning in Healthcare #Topic Modeling
  48. Residual Relaxation for Multi-view Representation Learning
    2021/10/28 by Yifei Wang, Wang, Yifei, Zhengyang Geng +11 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  49. Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning
    2026/07/21 by Lizhe Fang, Weizhou Shen, Tianyi Tang +1 · 1 voice
    #cs.CL #cs.AI
  50. DWM: Separating World Effects from Actions in Latent World Models
    2026/07/21 by Yi-Ge Zhang, Tianqi Du, Qi Zhang +1 · 1 citation
    #cs.AI
  51. SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning
    2026/07/20 by Letian Cheng, Qi Zhang, Yisen Wang · 1 citation
    #cs.AI
  52. Mitigating Compounding Error via Video Representation Regularization
    2026/07/29 by Taiye Chen, Qi Zhang, Yisen Wang
    Computer Science · #cs.CV #cs.LG