Huang, Wenke

44 publications

ICML 2025 $S^2$FGL: Spatial Spectral Federated Graph Learning Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye

IJCAI 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye

NeurIPS 2025 Backdoor Cleaning Without External Guidance in MLLM Fine-Tuning Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye

ICML 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao

ICML 2025 Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye

NeurIPS 2025 DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning Yueyang Yuan, Wenke Huang, Guancheng Wan, Kaiqi Guan, He Li, Mang Ye

ICML 2025 Does One-Shot Give the Best Shot? Mitigating Model Inconsistency in One-Shot Federated Learning Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai

ICML 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye

CVPR 2025 EMOE: Modality-Specific Enhanced Dynamic Emotion Experts Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye

ICLR 2025 Energy-Based Backdoor Defense Against Federated Graph Learning Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye

ICML 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye

CVPR 2025 FedSPA: Generalizable Federated Graph Learning Under Homophily Heterogeneity Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye

ICML 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye

AAAI 2025 Federated Recommendation with Explicitly Encoding Item Bias Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li

ICML 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

CVPR 2025 Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen

NeurIPS 2025 HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning Guancheng Wan, Xiaoran Shang, Yuxin Wu, Guibin Zhang, Jinhe Bi, Liangtao Zheng, Xin Lin, Yue Liu, Yanbiao Ma, Wenke Huang, Bo Du

AAAI 2025 Label-Free Backdoor Attacks in Vertical Federated Learning Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye

ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye

NeurIPS 2025 MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation Wei Shen, Weiqi Liu, Mingde Chen, Wenke Huang, Mang Ye

NeurIPS 2025 MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning Guancheng Wan, Fengyuan Ran, Ruikang Zhang, Wenke Huang, Xuankun Rong, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

NeurIPS 2025 Multi-Order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning Guancheng Wan, Xu Cheng, Run Liu, Wenke Huang, Zitong Shi, Pinyi Jin, Guibin Zhang, Bo Du, Mang Ye

NeurIPS 2025 OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration Guancheng Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye

IJCAI 2025 Pixel-Wise Divide and Conquer for Federated Vessel Segmentation Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu

NeurIPS 2025 Rethinking Fair Federated Learning from Parameter and Client View Kaiqi Guan, Wenke Huang, Xianda Guo, Yueyang Yuan, Bin Yang, Mang Ye

ICML 2025 SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution Wenwen He, Wenke Huang, Bin Yang, Shukan Liu, Mang Ye

NeurIPS 2025 SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models Xianda Guo, Ruijun Zhang, Yiqun Duan, Yuhang He, Dujun Nie, Wenke Huang, Chenming Zhang, Shuai Liu, Hao Zhao, Long Chen

NeurIPS 2025 Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks Yi Xiao, Qiangqiang Yuan, Kui Jiang, Wenke Huang, Qiang Zhang, Tingting Zheng, Chia-Wen Lin, Liangpei Zhang

ICML 2025 Splitting with Importance-Aware Updating for Heterogeneous Federated Learning with Large Language Models Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye

NeurIPS 2025 Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification Zhongao Zhou, Bin Yang, Wenke Huang, Jun Chen, Mang Ye

ICCV 2025 Unsupervised Visible-Infrared Person Re-Identification Under Unpaired Settings Haoyu Yao, Bin Yang, Wenke Huang, Bo Du, Mang Ye

CVPR 2024 Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen, Wenke Huang, Mang Ye

CVPR 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning Xiyuan Yang, Wenke Huang, Mang Ye

NeurIPS 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye

AAAI 2024 Federated Graph Learning Under Domain Shift with Generalizable Prototypes Guancheng Wan, Wenke Huang, Mang Ye

ECCV 2024 Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao

NeurIPS 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du

ICML 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V Chawla, Mang Ye

ICML 2024 Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du

NeurIPS 2023 Dynamic Personalized Federated Learning with Adaptive Differential Privacy Xiyuan Yang, Wenke Huang, Mang Ye

IJCAI 2023 Federated Graph Semantic and Structural Learning Wenke Huang, Guancheng Wan, Mang Ye, Bo Du

CVPR 2023 Rethinking Federated Learning with Domain Shift: A Prototype View Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du

CVPR 2022 Learn from Others and Be Yourself in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Bo Du