PPaperPicks

Wenke Huang

Wuhan University, China

52 papers at tracked venues · 49 at CORE A* · active 2024–2026

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Venues

ICML ×13NeurIPS ×13AAAI ×10CVPR ×6ACM MM ×2IJCAI ×2WWW ×2ECCV ×1ICCV ×1ICLR ×1SIGKDD ×1

Frequent coauthors

Guancheng Wan
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Zihan Tan
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Frank Wan
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Zhihao Wang
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Wei Shen
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Xuankun Rong
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Zitong Shi
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Yiyang Fang
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Ting Qiao
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Xingyue Zhao
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Zhixi Yu
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Xuetao Li
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Papers

  1. DAWN: Distributed LLM Multi-Agent Workflow Synthesis
    AAAI 2026 ·
    Guancheng Wan
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  2. DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing
    WWW 2026 ·
    Ting Qiao
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  3. Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
    AAAI 2026 ·
    Xingyue Zhao
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  4. Domain-Aware Suppression and Aggregation for Federated DG ReID
    AAAI 2026 ·
    Zhixi Yu
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  5. FedPRE: Robust Federated Graph Learning against Topological Corruption
    SIGKDD 2026 ·
    Zihan Tan
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  6. Federated Context-Aware Personalized Recommendation
    AAAI 2026 ·
    Zhihao Wang
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  7. Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
    AAAI 2026 ·
    Xuankun Rong
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  8. RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation
    AAAI 2026 ·
    Xuetao Li
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  9. Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense
    AAAI 2026 ·
    Zitong Shi
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  10. Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding
    WWW 2026 ·
    Wenzheng Jiang
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  11. An Empirical Study of Federated Prompt Learning for Vision Language Model
    IJCAI 2025 ·
    Zhihao Wang
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  12. Backdoor Cleaning without External Guidance in MLLM Fine-tuning
    NeurIPS 2025 ·
    Xuankun Rong
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  13. Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
    ICML 2025 · Wenke Huang
  14. Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
    ICML 2025 ·
    Yiyang Fang
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  15. DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
    NeurIPS 2025 ·
    Yueyang Yuan
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  16. Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
    ICML 2025 ·
    Hui Zeng
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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. Federated Recommendation with Explicitly Encoding Item Bias
    AAAI 2025 ·
    Zhihao Wang
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  24. GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
    ICML 2025 ·
    Jiaru Qian
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  25. Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
    CVPR 2025 ·
    Yanbiao Ma
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  26. HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
    NeurIPS 2025 ·
    Frank Wan
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  27. Label-Free Backdoor Attacks in Vertical Federated Learning
    AAAI 2025 ·
    Wei Shen
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  28. Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
    ICML 2025 · Wenke Huang
  29. LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
    CVPR 2025 ·
    Jian Liang
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  30. MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
    NeurIPS 2025 ·
    Wei Shen
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  31. MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
    NeurIPS 2025 ·
    Frank Wan
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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. OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
    NeurIPS 2025 ·
    Frank Wan
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  34. Pixel-wise Divide and Conquer for Federated Vessel Segmentation
    IJCAI 2025 ·
    Tian Chen
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  35. Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID
    ACM MM 2025 ·
    Xin Xu
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  36. Rethinking Fair Federated Learning from Parameter and Client View
    NeurIPS 2025 ·
    Kaiqi Guan
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  37. S2FGL: Spatial Spectral Federated Graph Learning
    ICML 2025 ·
    Zihan Tan
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  38. SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution
    ICML 2025 ·
    Wenwen He
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  39. SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models
    NeurIPS 2025 ·
    Xianda Guo
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  40. Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks
    NeurIPS 2025 ·
    Yi Xiao
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  41. Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
    ICML 2025 ·
    Yangxu Liao
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  42. Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
    NeurIPS 2025 ·
    Zhongao Zhou
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  43. Unsupervised Visible-Infrared Person Re-Identification Under Unpaired Settings
    ICCV 2025 ·
    Haoyu Yao
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  44. Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity
    CVPR 2024 ·
    Yuhang Chen
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  45. FedAS: Bridging Inconsistency in Personalized Federated Learning
    CVPR 2024 ·
    Xiyuan Yang
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  46. FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
    NeurIPS 2024 ·
    Zihan Tan
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  47. Federated Graph Learning under Domain Shift with Generalizable Prototypes
    AAAI 2024 ·
    Guancheng Wan
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  48. Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning
    ECCV 2024 · Wenke Huang
  49. Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning
    NeurIPS 2024 · Wenke Huang
  50. Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling
    ACM MM 2024 ·
    Wei Shen
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  51. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 ·
    Guancheng Wan
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  52. Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
    ICML 2024 · Wenke Huang