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Tongliang Liu

  1. Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
    2025/03/31 by Bang Liu, Xinfeng Li, Liu, Bang +95 · 13 voices · 36 citations
    Computer Science · #Reinforcement Learning in Robotics
  2. DeepInception: Hypnotize Large Language Model to Be Jailbreaker
    2023/11/06 by Xuan Li, Li, Xuan, Zhanke Zhou +9 · 61 citations
    Computer Science · #Topic Modeling #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection
  3. Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
    2021/10/22 by Jiaheng Wei, Zhaowei Zhu, Wei, Jiaheng +9 · 25 citations
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  4. Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
    2022/02/11 by Yongqiang Chen, Yonggang Zhang, Chen, Yongqiang +15 · 13 citations
    Environmental Science · Computer Science · Medicine · #Health, Environment, Cognitive Aging #Machine Learning in Healthcare #Data-Driven Disease Surveillance
  5. Are Anchor Points Really Indispensable in Label-Noise Learning?
    2019/06/01 by Xiaobo Xia, Xia, Xiaobo, Tongliang Liu +11 · 12 citations
    Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Advanced Multi-Objective Optimization Algorithms
  6. ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
    2023/08/16 by Kaicheng Yang, Jiankang Deng, Yang, Kaicheng +13 · 18 citations
    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 #Multimodal Machine Learning Applications
  7. Understanding and Improving Early Stopping for Learning with Noisy Labels
    2021/06/30 by Yingbin Bai, Bai, Yingbin, Erkun Yang +13 · 11 citations
    Computer Science · Engineering · #Machine Learning and Data Classification #Industrial Vision Systems and Defect Detection #Advanced Neural Network Applications
  8. Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
    2020/06/14 by Yu Yao, Tongliang Liu, Yao, Yu +11 · 8 citations
    Computer Science · Engineering · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Industrial Vision Systems and Defect Detection
  9. Recent Advances for Quantum Neural Networks in Generative Learning
    2022/06/07 by Jinkai Tian, Tian, Jinkai, Xiaoyu Sun +25 · 9 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
  10. Towards Label-free Scene Understanding by Vision Foundation Models
    2023/06/06 by Runnan Chen, Youquan Liu, Chen, Runnan +13 · 10 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  11. Probabilistic Margins for Instance Reweighting in Adversarial Training
    2021/06/15 by Qizhou Wang, Wang, Qizhou, Feng Liu +13 · 7 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Integrated Circuits and Semiconductor Failure Analysis
  12. Negative Label Guided OOD Detection with Pretrained Vision-Language Models
    2024/03/29 by Xue Jiang, Jiang, Xue, Feng Liu +11 · 12 citations
    Computer Science · #Web Data Mining and Analysis
  13. Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
    2022/02/16 by Yongqiang Chen, Chen, Yongqiang, Han Yang +11 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
    2022/04/15 by Chuang Liu, Liu, Chuang, Yibing Zhan +13 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Cloud Computing and Resource Management #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  15. Unicom: Universal and Compact Representation Learning for Image Retrieval
    2023/04/12 by Xiang An, An, Xiang, Jiankang Deng +13 · 8 citations
    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 #Multimodal Machine Learning Applications
  16. Flow: Modularized Agentic Workflow Automation
    2025/01/14 by Niu, Boye, Song, Yiliao, Kai Lian +9 · 16 citations
    Business, Management and Accounting · Decision Sciences · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Scientific Computing and Data Management #Simulation Techniques and Applications
  17. A Second-Order Approach to Learning with Instance-Dependent Label Noise
    2020/12/22 by Zhaowei Zhu, Tongliang Liu, Zhu, Zhaowei +3 · 5 citations
    Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Imbalanced Data Classification Techniques
  18. Few-Shot Adversarial Prompt Learning on Vision-Language Models
    2024/03/21 by Yiwei Zhou, Zhou, Yiwei, Xiaobo Xia +7 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  19. On the learnability of quantum neural networks
    2020/07/24 by Yuxuan Du, Min-Hsiu Hsieh, Du, Yuxuan +7 · 4 citations
    Computer Science · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Stochastic Gradient Optimization Techniques
  20. Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety
    2025/02/02 by Xingjun Ma, Yifeng Gao, Ma, Xingjun +88 · 20 citations
    Health Professions · Decision Sciences · Engineering · #Occupational Health and Safety Research #Risk and Safety Analysis #Safety Systems Engineering in Autonomy
  21. TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
    2021/06/11 by Haoang Chi, Feng Liu, Chi, Haoang +13 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  22. Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
    2025/06/26 by Haoang Chi, He Li, Chi, Haoang +13 · 19 citations
    Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications
  23. Dynamics-Aware Loss for Learning with Label Noise
    2023/03/21 by Xiu-Chuan Li, Li, Xiu-Chuan, Xiaobo Xia +9 · 4 citations
    Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Model Reduction and Neural Networks
  24. Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
    2024/02/23 by Rong Dai, Dai, Rong, Yonggang Zhang +9 · 5 citations
    Computer Science · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  25. Point-Query Quadtree for Crowd Counting, Localization, and More
    2023/08/26 by Chengxin Liu, Hao Lu, Liu, Chengxin +5 · 4 citations
    Computer Science · Social Sciences · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Video Surveillance and Tracking Methods
  26. Learning with Bounded Instance- and Label-dependent Label Noise
    2017/09/12 by Jiacheng Cheng, Tongliang Liu, Cheng, Jiacheng +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  27. Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
    2023/11/06 by Haotian Zheng, Zheng, Haotian, Qizhou Wang +11 · 4 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
  28. Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
    2023/10/21 by Jianing Zhu, Yu Geng, Zhu, Jianing +11 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  29. LaVin-DiT: Large Vision Diffusion Transformer
    2024/11/18 by Zhaoqing Wang, Wang, Zhaoqing, Xiaobo Xia +11 · 7 citations
    Engineering · Physics and Astronomy · #CCD and CMOS Imaging Sensors #Advanced Optical Sensing Technologies
  30. One-Shot Learning as Instruction Data Prospector for Large Language Models
    2023/12/16 by Yunshui Li, Li, Yunshui, Binyuan Hui +20 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  31. Discovering and Reasoning of Causality in the Hidden World with Large Language Models
    2024/02/06 by Chenxi Liu, Yongqiang Chen, Liu, Chenxi +11 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Topic Modeling
  32. FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
    2023/10/25 by Zhuo Huang, Huang, Zhuo, Li Shen +7 · 3 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning #Machine Learning (cs.LG) #Machine Learning and Data Classification
  33. Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
    2024/11/19 by Haodong Chen, R. Chen, Chen, Haodong +11 · 5 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Surface Roughness and Optical Measurements #Thin-Film Transistor Technologies
  34. Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
    2023/08/26 by Suqin Yuan, Yuan, Suqin, Lei Feng +3 · 3 citations
    Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Anomaly Detection Techniques and Applications
  35. Ranked from Within: Ranking Large Multimodal Models Without Labels
    2024/12/09 by Weijie Tu, Weijian Deng, Tu, Weijie +11 · 5 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques
  36. Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
    2023/12/05 by Zhuo Huang, Huang, Zhuo, Chang Liu +9 · 3 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  37. Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
    2025/05/17 by Yang, Puning, Qizhou Wang, Wang, Qizhou +8 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Topic Modeling
  38. QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
    2024/03/19 by Hongwei Bran, Li, Hongwei Bran, Fernando Navarro +154 · 3 citations
    Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  39. A Universal Unbiased Method for Classification from Aggregate Observations
    2023/06/20 by Zixi Wei, Wei, Zixi, Lei Feng +11 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Data Mining Algorithms and Applications
  40. IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
    2023/10/16 by Shaokun Zhang, Xiaobo Xia, Zhang, Shaokun +11 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  41. Fairness Improves Learning from Noisily Labeled Long-Tailed Data
    2023/03/22 by Jiaheng Wei, Zhaowei Zhu, Wei, Jiaheng +11 · 2 citations
    Computer Science · #Machine Learning and Data Classification
  42. Robust Angular Local Descriptor Learning
    2019/01/21 by Yanwu Xu, Xu, Yanwu, Mingming Gong +7 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Video Surveillance and Tracking Methods #Human Pose and Action Recognition
  43. From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
    2025/06/09 by Yi Xie, Yi, Xie, Zhou, Zhanke +8 · 1 voice · 4 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Explainable Artificial Intelligence (XAI)
  44. Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
    2023/05/10 by Yulong Yang, Chenhao Lin, Yang, Yulong +13 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  45. Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
    2023/03/20 by Zixuan Hu, Li Shen, Hu, Zixuan +9 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  46. Revisiting Knowledge Distillation: An Inheritance and Exploration Framework
    2021/07/01 by Zhen Huang, Xu Shen, Huang, Zhen +15 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  47. Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching
    2025/05/29 by Yao Yu, Lin, Yexiong, Tongliang Liu +2 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  48. SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
    2022/03/29 by Xiaoqing Guo, Jie Liu, Guo, Xiaoqing +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Music and Audio Processing #Speech Recognition and Synthesis
  49. Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation
    2022/06/06 by De Cheng, Cheng, De, Tongliang Liu +13 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Music and Audio Processing
  50. PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
    2022/12/07 by Huaxi Huang, Huang, Huaxi, Hui Kang +11 · 1 citation
    Engineering · Computer Science · #Image Processing Techniques and Applications #Image and Object Detection Techniques #Optical measurement and interference techniques
  51. Why do CNNs excel at feature extraction? A mathematical explanation
    2023/07/03 by Vinoth Nandakumar, Arush Tagade, Nandakumar, Vinoth +3 · 1 citation
    Computer Science · #Machine Learning and Data Classification #Medical Image Segmentation Techniques #Neural Networks and Applications #cs.AI #cs.CV
  52. E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning
    2024/01/16 by Qiang Qu, Yiran Shen, Qu, Qiang +6 · 1 citation
    Engineering · Neuroscience · #Advanced Memory and Neural Computing #EEG and Brain-Computer Interfaces #Neural dynamics and brain function
  53. How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
    2023/12/12 by Zhongyi Han, Han, Zhongyi, Guanglin Zhou +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
  54. Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision
    2024/02/14 by Zhaoqing Wang, Xiaobo Xia, Wang, Zhaoqing +11 · 1 citation
    Computer Science · #Natural Language Processing Techniques
  55. HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
    2024/01/18 by Guanglin Zhou, Zhongyi Han, Zhou, Guanglin +13 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  56. Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
    2024/04/11 by Runqi Lin, Lin, Runqi, Chaojian Yu +3 · 1 citation
    Engineering · #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)
  57. Toward Robust Non-Transferable Learning: A Survey and Benchmark
    2025/02/19 by Ziming Hong, Xiang Ye, Hong, Ziming +3 · 2 citations
    Social Sciences · #Higher Education Learning Practices
  58. Mitigating Label Noise on Graph via Topological Sample Selection
    2024/03/04 by Yuhao Wu, Jiangchao Yao, Wu, Yuhao +11 · 1 citation
    Computer Science · #Rough Sets and Fuzzy Logic
  59. Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
    2024/06/02 by Jiacheng Zhang, Feng Liu, Zhang, Jiacheng +7 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG)
  60. Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
    2024/05/30 by Yuhao Wu, Jiangchao Yao, Wu, Yuhao +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Machine Learning and Data Classification #Machine Learning and Algorithms
  61. Noisy Test-Time Adaptation in Vision-Language Models
    2025/02/20 by Chentao Cao, Zhun Zhong, Cao, Chentao +11 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  62. Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
    2025/06/11 by Tianjun Yao, Yao, Tianjun, Haoxuan Li +9 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications
  63. What If the Input is Expanded in OOD Detection?
    2024/10/24 by Boxuan Zhang, Jianing Zhu, Zhang, Boxuan +9 · 1 citation
    Engineering · #Advanced Chemical Sensor Technologies #FOS: Computer and information sciences #Machine Learning (cs.LG)
  64. TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
    2024/11/26 by Zengyi Wan, Yanwu Xu, Wan, Zhenchen +9 · 1 citation
    Decision Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Simulation Techniques and Applications
  65. Robust Training of Federated Models with Extremely Label Deficiency
    2024/02/22 by Yonggang Zhang, Zhang, Yonggang, Z. Q. Yang +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Privacy-Preserving Technologies in Data