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Bo Han

  1. A Definition of AGI
    2025/10/21 by Dan Hendrycks, Dawn Song, Hendrycks, Dan +65 · 28 voices · 10 citations
    Psychology · Computer Science · #Cognitive Abilities and Testing #Computability, Logic, AI Algorithms #Cognitive Computing and Networks
  2. Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
    2018/04/18 by Bo Han, Quanming Yao, Han, Bo +13 · 61 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
  3. DeepInception: Hypnotize Large Language Model to Be Jailbreaker
    2023/11/06 by Xuan Li, Li, Xuan, Zhanke Zhou +9 · 60 citations
    Computer Science · #Topic Modeling #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection
  4. How does Disagreement Help Generalization against Label Corruption?
    2019/01/14 by Xingrui Yu, Yu, Xingrui, Bo Han +9 · 33 citations
    Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Machine Learning and Algorithms
  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. Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
    2022/02/11 by Yongqiang Chen, Chen, Yongqiang, Yonggang Zhang +15 · 12 citations
    Environmental Science · Computer Science · Medicine · #Health, Environment, Cognitive Aging #Machine Learning in Healthcare #Data-Driven Disease Surveillance
  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. Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
    2020/02/26 by Jingfeng Zhang, Xilie Xu, Zhang, Jingfeng +11 · 12 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
  9. Provably Consistent Partial-Label Learning
    2020/07/17 by Lei Feng, Jiaqi Lv, Feng, Lei +13 · 8 citations
    Computer Science · #Text and Document Classification Technologies #Machine Learning and Data Classification #Machine Learning and Algorithms
  10. Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
    2020/06/14 by Yu Yao, Yao, Yu, Tongliang Liu +11 · 8 citations
    Computer Science · Engineering · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Industrial Vision Systems and Defect Detection
  11. 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
  12. LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
    2025/05/07 by Zheng Chai, Qin Ren, Chai, Zheng +30 · 22 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Recommender Systems and Techniques
  13. Probabilistic Margins for Instance Reweighting in Adversarial Training
    2021/06/15 by Qizhou Wang, Feng Liu, Wang, Qizhou +13 · 6 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Integrated Circuits and Semiconductor Failure Analysis
  14. Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
    2022/02/16 by Yongqiang Chen, Han Yang, Chen, Yongqiang +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)
  15. TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
    2021/06/11 by Haoang Chi, Chi, Haoang, Feng Liu +13 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  16. A Sober Look at the Robustness of CLIPs to Spurious Features
    2024/03/18 by Qizhou Wang, Lin Yong, Wang, Qizhou +9 · 7 citations
    Computer Science · #Digital Imaging for Blood Diseases #AI in cancer detection
  17. Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
    2024/02/25 by Shuhai Zhang, Zhang, Shuhai, Song, Yiliao +7 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG)
  18. AMD: Autoregressive Motion Diffusion
    2023/05/16 by Bo Han, Han, Bo, Hao Peng +9 · 5 citations
    Engineering · Computer Science · #Human Motion and Animation #Human Pose and Action Recognition #Generative Adversarial Networks and Image Synthesis
  19. Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
    2025/02/26 by Qizhou Wang, Wang, Qizhou, Jin Peng Zhou +8 · 13 citations
    Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Computational and Text Analysis Methods #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. 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
  21. Device-Cloud Collaborative Learning for Recommendation
    2021/04/14 by Jiangchao Yao, Yao, Jiangchao, Feng Wang +9 · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques
  22. 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)
  23. Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
    2023/10/21 by Jianing Zhu, Zhu, Jianing, Yu Geng +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
  24. Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
    2024/02/23 by Rong Dai, Dai, Rong, Yonggang Zhang +9 · 4 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. 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
  26. Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
    2024/11/05 by Yu Geng, Jianing Zhu, Yu, Geng +5 · 6 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Remote-Sensing Image Classification
  27. Pointwise Binary Classification with Pairwise Confidence Comparisons
    2020/10/05 by Lei Feng, Senlin Shu, Feng, Lei +13 · 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
  28. Learning to Augment Distributions for Out-of-Distribution Detection
    2023/11/03 by Qizhou Wang, Zhen Fang, Wang, Qizhou +9 · 3 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  29. 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
  30. Contrastive Learning with Boosted Memorization
    2022/05/25 by Zhihan Zhou, Zhou, Zhihan, Jiangchao Yao +7 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Text and Document Classification Technologies #Multimodal Machine Learning Applications
  31. Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
    2022/06/15 by Yongqiang Chen, Chen, Yongqiang, Kaiwen Zhou +17 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
  32. Device-Cloud Collaborative Recommendation via Meta Controller
    2022/07/07 by Jiangchao Yao, Feng Wang, Yao, Jiangchao +11 · 2 citations
    Computer Science · #Recommender Systems and Techniques #IoT and Edge/Fog Computing #Machine Learning and ELM
  33. Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
    2023/05/25 by Shuhai Zhang, Zhang, Shuhai, Feng Liu +11 · 3 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistical Methods and Inference
  34. Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
    2025/05/17 by Yang, Puning, Qizhou Wang, Zhuo Huang +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
  35. How Interpretable Are Interpretable Graph Neural Networks?
    2024/06/12 by Yongqiang Chen, Chen, Yongqiang, Yatao Bian +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  36. Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
    2025/03/28 by Zhanke Zhou, Zhou, Zhanke, Zhaocheng Zhu +12 · 6 citations
    Computer Science · Social Sciences · #Topic Modeling #Computational and Text Analysis Methods #Multimodal Machine Learning Applications
  37. Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
    2023/11/02 by Xuan Li, Zhanke Zhou, Li, Xuan +9 · 2 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Topic Modeling #Electron and X-Ray Spectroscopy Techniques
  38. 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
  39. Understanding and Enhancing the Transferability of Jailbreaking Attacks
    2025/02/05 by Lin, Runqi, Bo Han, F.-B Li +4 · 5 citations
    Computer Science · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #Cybercrime and Law Enforcement Studies #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling
    2018/05/22 by Chao Li, Mohammad Emtiyaz Khan, Li, Chao +11 · 1 citation
    Mathematics · Engineering · Medicine · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Advanced Neuroimaging Techniques and Applications
  41. Combating Representation Learning Disparity with Geometric Harmonization
    2023/10/26 by Zhihan Zhou, Jiangchao Yao, Zhou, Zhihan +9 · 3 citations
    Computer Science · #AI in cancer detection #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG)
  42. Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
    2022/06/06 by Zhenheng Tang, Yonggang Zhang, Tang, Zhenheng +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  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. From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
    2025/06/09 by Zhanke Zhou, Feng Xiao, Zhou, Zhanke +9 · 8 citations
    Computer Science · Medicine · #Topic Modeling #Multimodal Machine Learning Applications #Artificial Intelligence in Healthcare and Education
  45. On the Learnability of Out-of-distribution Detection
    2024/04/07 by Zhen Fang, Yixuan Li, Fang, Zhen +7 · 2 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Fault Detection and Control Systems #Data Stream Mining Techniques
  46. Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
    2025/08/01 by Zizhuo Zhang, Zhang, Zizhuo, Jianing Zhu +15 · 9 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  47. Intracellular <i>Staphylococcus aureus</i> inhibits autophagy of bovine mammary epithelial cells through activating p38α
    2021/08/01 by Run Wang, Wen Zhang, Lumei Wang +6 · 1 citation
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Medicine · #Autophagy in Disease and Therapy #Milk Quality and Mastitis in Dairy Cows #Polyamine Metabolism and Applications
  48. Click-through Rate Prediction with Auto-Quantized Contrastive Learning
    2021/09/27 by Yujie Pan, Pan, Yujie, Jiangchao Yao +9 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Caching and Content Delivery #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  49. Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
    2022/06/15 by Ruize Gao, Gao, Ruize, Jiongxiao Wang +13 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  50. 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
  51. Label-Noise Learning with Intrinsically Long-Tailed Data
    2022/08/21 by Lu Yang, Lu, Yang, Yiliang Zhang +7 · 1 citation
    Engineering · Computer Science · #Infrastructure Maintenance and Monitoring #Machine Learning and Data Classification #Industrial Vision Systems and Defect Detection
  52. Simple and high-order N-solitons of the nonlocal generalized Sasa-Satsuma equation via an improved Riemann-Hilbert method
    2023/07/18 by Guixian Wang, Xiu‐Bin Wang, Wang, Guixian +5 · 1 citation
    Physics and Astronomy · Mathematics · #Nonlinear Waves and Solitons #Nonlinear Photonic Systems #Fractional Differential Equations Solutions
  53. Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation
    2024/10/24 by Bo Han, Yuheng Jia, Han, Bo +5 · 2 citations
    Computer Science · Engineering · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques
  54. FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
    2024/10/27 by Zhenheng Tang, Tang, Zhenheng, Yonggang Zhang +11 · 2 citations
    Computer Science · #Privacy-Preserving Technologies in Data
  55. Hard Sample Matters a Lot in Zero-Shot Quantization
    2023/03/24 by Huantong Li, Xiangmiao Wu, Li, Huantong +13 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Medical Imaging Techniques and Applications
  56. Moderately Distributional Exploration for Domain Generalization
    2023/04/27 by Rui Dai, Yonggang Zhang, Dai, Rui +7 · 1 citation
    Computer Science · #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
  57. Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
    2024/12/18 by Xin‐Yu Pang, Pang, Xinyu, Ruixin Hong +13 · 2 citations
    Computer Science · #Computational Physics and Python Applications
  58. On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
    2023/06/15 by Zhanke Zhou, Chenyu Zhou, Zhou, Zhanke +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  59. Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
    2023/10/22 by Ke Liu, Feng Liu, Liu, Ke +9 · 1 citation
    Computer Science · #Medical Image Segmentation Techniques #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
  60. Epidemiologic relationship between periodontitis and type 2 diabetes mellitus
    2020/07/11 by Chenzhou Wu, Yihang Yuan, Hang-hang Liu +9 · 1 citation
    Dentistry · #Oral microbiology and periodontitis research #Dental Health and Care Utilization #Dental Radiography and Imaging
  61. Balancing Similarity and Complementarity for Federated Learning
    2024/05/16 by Kunda Yan, Sen Cui, Yan, Kunda +13 · 1 citation
    Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  62. 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
  63. Text-based Talking Video Editing with Cascaded Conditional Diffusion
    2024/07/20 by Bo Han, Han, Bo, Heqing Zou +6 · 1 citation
    Computer Science · #Video Analysis and Summarization #Advanced Data Compression Techniques #Music and Audio Processing
  64. 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
  65. Noisy Test-Time Adaptation in Vision-Language Models
    2025/02/20 by Chentao Cao, Cao, Chentao, Zhun Zhong +11 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  66. Nebula: Reliable Low-latency Video Transmission for Mobile Cloud Gaming
    2022/01/16 by Ahmad Alhilal, Alhilal, Ahmad, Tristan Braud +5 · 1 citation
    Computer Science · #C.2.4 #FOS: Computer and information sciences #H.5.1 #Image and Video Quality Assessment #Multimedia (cs.MM) #Networking and Internet Architecture (cs.NI) #Video Coding and Compression Technologies #Visual Attention and Saliency Detection
  67. Decoupling the Class Label and the Target Concept in Machine Unlearning
    2024/06/12 by Jianing Zhu, Zhu, Jianing, Bo Han +9 · 1 citation
    Computer Science · Engineering · #Educational Technology and Assessment #Engineering Education and Curriculum Development #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online Learning and Analytics
  68. Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
    2025/10/03 by Xin He, He, Xin, L. H. You +9 · 2 citations
    Computer Science · #Neural Networks and Applications
  69. What If the Input is Expanded in OOD Detection?
    2024/10/24 by Boxuan Zhang, Zhang, Boxuan, Jianing Zhu +9 · 1 citation
    Engineering · #Advanced Chemical Sensor Technologies #FOS: Computer and information sciences #Machine Learning (cs.LG)
  70. One-shot Federated Learning Methods: A Practical Guide
    2025/02/13 by Xiang Liu, Zhenheng Tang, Liu, Xiang +15 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  71. Learning without Isolation: Pathway Protection for Continual Learning
    2025/05/24 by Zhikang Chen, Chen, Zhikang, Abudukelimu Wuerkaixi +22 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  72. 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
  73. Asymmetric organocatalysis: an enabling technology for medicinal chemistry
    2021/01/01 by Bo Han, Xiang‐Hong He, Yanqing Liu +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Asymmetric Synthesis and Catalysis #Chemical Synthesis and Analysis #Chemical Synthesis and Reactions
  74. Secondary particle size distribution of ice crystals in oblique impacts: Experimental characterization and unified modeling
    2026/07/14 by Fuhao Zhong, Xiufang Liu, Senyun Liu +4
    Physics and Astronomy · Engineering · Materials Science · #Planetary Science and Exploration #Particle Dynamics in Fluid Flows #High-Velocity Impact and Material Behavior
  75. Direct Measurement of Exciton Dispersion in the Long-Wavelength Limit
    2026/07/23 by Peiyi He, Jiade Li, Jiakai Wang +15
    #cond-mat.mes-hall
  76. Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos
    2026/07/22 by Penglei Sun, Yehua Huang, Zhuoli Tao +8
    #cs.CV #cs.AI
  77. DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
    2026/07/19 by Jun Nie, Zhiqin Yang, Zhenheng Tang +4
    #cs.LG #cs.CL #cs.IR
  78. Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH2
    2026/07/20 by Bo Han, Jianchuan Wang, Rui Zhang +6
    #cond-mat.mtrl-sci
  79. Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents
    2026/07/27 by Xutao Mao, Liangjie Zhao, Leyao Wang +6
    #cs.AI