Mang Ye

Venues

Frequent coauthors

Papers

1. CA-PFL: Client-adaptive Parameter-efficient Fine-tuning for Personalized Federated Learning
   WWW 2026 ·

   Daixin Song

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2. Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
   AAAI 2026 ·

   Xingyue Zhao

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3. FedPRE: Robust Federated Graph Learning against Topological Corruption
   SIGKDD 2026 ·

   Zihan Tan

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4. Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
   AAAI 2026 ·

   Xuankun Rong

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5. RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation
   AAAI 2026 ·

   Xuetao Li

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6. Text-based Aerial-Ground Person Retrieval
   AAAI 2026 ·

   Xinyu Zhou

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7. Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
   AAAI 2026 ·

   Zitong Shi

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8. Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
   NeurIPS 2025 ·

   Qu Yang

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9. An Empirical Study of Federated Prompt Learning for Vision Language Model
   IJCAI 2025 ·

   Zhihao Wang

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10. Backdoor Cleaning without External Guidance in MLLM Fine-tuning
    NeurIPS 2025 ·

    Xuankun Rong

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11. Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
    ICML 2025 ·

    Wenke Huang

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12. CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
    ICML 2025 ·

    Xuankun Rong

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13. Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
    ICML 2025 ·

    Yiyang Fang

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14. Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment
    CVPR 2025 ·

    Yang Bai

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15. Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification
    CVPR 2025 ·

    Jinxi Yang

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16. DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
    NeurIPS 2025 ·

    Yueyang Yuan

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17. EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
    ICML 2025 ·

    Zitong Shi

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18. EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
    CVPR 2025 ·

    Yiyang Fang

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19. Energy-based Backdoor Defense Against Federated Graph Learning
    ICLR 2025 ·

    Guancheng Wan

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20. FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
    ICML 2025 ·

    Chengying Fang

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21. FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
    CVPR 2025 ·

    Zihan Tan

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22. Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
    ICML 2025 ·

    Yihao Yang

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23. GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
    ICML 2025 ·

    Jiaru Qian

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24. Label-Free Backdoor Attacks in Vertical Federated Learning
    AAAI 2025 ·

    Wei Shen

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25. Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
    ICML 2025 ·

    Wenke Huang

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26. LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
    CVPR 2025 ·

    Jian Liang

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27. MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
    NeurIPS 2025 ·

    Wei Shen

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28. MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection
    AAAI 2025 ·

    Mei Wang

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29. MLLMs Meet Person Re-identification
    ACM MM 2025 ·

    Mengying Duan

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30. MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
    NeurIPS 2025 ·

    Frank Wan

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31. MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
    NeurIPS 2025 ·

    Mengxi Xiao

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32. Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
    NeurIPS 2025 ·

    Frank Wan

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33. NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
    AAAI 2025 ·

    Yuxuan Zhao

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34. OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
    NeurIPS 2025 ·

    Frank Wan

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35. PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
    NeurIPS 2025 ·

    Mingyao Zhou

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36. Pixel-wise Divide and Conquer for Federated Vessel Segmentation
    IJCAI 2025 ·

    Tian Chen

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37. Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images
    ICCV 2025 ·

    Yuran Dong

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38. Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification
    IJCAI 2025 ·

    Zhijie Lu

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39. Rethinking Fair Federated Learning from Parameter and Client View
    NeurIPS 2025 ·

    Kaiqi Guan

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40. S2FGL: Spatial Spectral Federated Graph Learning
    ICML 2025 ·

    Zihan Tan

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41. SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution
    ICML 2025 ·

    Wenwen He

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42. Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
    ICML 2025 ·

    Yangxu Liao

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43. Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
    CVPR 2025 ·

    Bin Wu

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44. TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification
    AAAI 2025 ·

    Xiao Wang

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45. Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification
    IJCAI 2025 ·

    Xulin Li

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46. Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning
    NeurIPS 2025 ·

    Xiuwen Fang

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47. Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
    NeurIPS 2025 ·

    Zhongao Zhou

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48. Uncertain Multimodal Intention and Emotion Understanding in the Wild
    CVPR 2025 ·

    Qu Yang

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49. Unsupervised Visible-Infrared Person Re-Identification Under Unpaired Settings
    ICCV 2025 ·

    Haoyu Yao

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50. Adaptive High-Frequency Transformer for Diverse Wildlife Re-identification
    ECCV 2024 ·

    Chenyue Li

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51. All in One Framework for Multimodal Re-Identification in the Wild
    CVPR 2024 ·

    He Li

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52. An Empirical Study of CLIP for Text-Based Person Search
    AAAI 2024 ·

    Min Cao

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53. Cloth-aware Augmentation for Cloth-generalized Person Re-identification
    ACM MM 2024 ·

    Fangyi Liu

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54. Contextual Augmented Global Contrast for Multimodal Intent Recognition
    CVPR 2024 ·

    Kaili Sun

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55. DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction
    IJCAI 2024 ·

    Yanghong Liu

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56. Empowering Visible-Infrared Person Re-Identification with Large Foundation Models
    NeurIPS 2024 ·

    Zhangyi Hu

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57. Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity
    CVPR 2024 ·

    Yuhang Chen

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58. FedAS: Bridging Inconsistency in Personalized Federated Learning
    CVPR 2024 ·

    Xiyuan Yang

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59. FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
    NeurIPS 2024 ·

    Zihan Tan

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60. Federated Graph Learning under Domain Shift with Generalizable Prototypes
    AAAI 2024 ·

    Guancheng Wan

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61. Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning
    ECCV 2024 ·

    Wenke Huang

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62. Negative Pre-aware for Noisy Cross-Modal Matching
    AAAI 2024 ·

    Xu Zhang

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63. Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
    NeurIPS 2024 ·

    Wenke Huang

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64. Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
    NeurIPS 2024 ·

    Wuxuan Shi

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65. Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling
    ACM MM 2024 ·

    Wei Shen

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66. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 ·

    Guancheng Wan

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67. Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
    ICML 2024 ·

    Wenke Huang

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68. Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
    CVPR 2024 ·

    Bin Yang

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69. Synergy of Sight and Semantics: Visual Intention Understanding with CLIP
    ECCV 2024 ·

    Qu Yang

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70. TexFit: Text-Driven Fashion Image Editing with Diffusion Models
    AAAI 2024 ·

    Tongxin Wang

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