Learn from Others and Be Yourself in Heterogeneous Federated Learning. - Wenke Huang 003; Mang Ye; Bo Du 001 (CVPR, 2022)

Few-Shot Model Agnostic Federated Learning. - Wenke Huang 003; Mang Ye; Bo Du 001; Xiang Gao (ACM Multimedia, 2022)

Rethinking Federated Learning with Domain Shift: A Prototype View. - Wenke Huang 003; Mang Ye; Zekun Shi; He Li 054; Bo Du 001 (CVPR, 2023)

Federated Graph Semantic and Structural Learning. - Wenke Huang 003; Guancheng Wan; Mang Ye; Bo Du 001 (IJCAI, 2023)

Dynamic Personalized Federated Learning with Adaptive Differential Privacy. - Xiyuan Yang; Wenke Huang 003; Mang Ye (NeurIPS, 2023)

Federated Graph Learning under Domain Shift with Generalizable Prototypes. - Guancheng Wan; Wenke Huang 003; Mang Ye (AAAI, 2024)

Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity. - Yuhang Chen; Wenke Huang 003; Mang Ye (CVPR, 2024)

FedAS: Bridging Inconsistency in Personalized Federated Learning. - Xiyuan Yang; Wenke Huang 003; Mang Ye (CVPR, 2024)

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. - Wenke Huang 003; Mang Ye; Zekun Shi; Bo Du 001; Dacheng Tao (ECCV (15), 2024)

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning. - Wenke Huang 003; Zekun Shi; Mang Ye; He Li 054; Bo Du 001 (ICML, 2024)

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. - Guancheng Wan; Yijun Tian 001; Wenke Huang 003; Nitesh V. Chawla; Mang Ye (ICML, 2024)

Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling. - Wei Shen 006; Mang Ye; Wenke Huang 003 (ACM Multimedia, 2024)

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning. - Wenke Huang 003; Mang Ye; Zekun Shi; Guancheng Wan; He Li 054; Bo Du 001 (NeurIPS, 2024)

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. - Zihan Tan; Guancheng Wan; Wenke Huang 003; Mang Ye (NeurIPS, 2024)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. - Wenke Huang 003; Jian Liang 001; Zekun Shi; Didi Zhu; Guancheng Wan; He Li 054; Bo Du 001; Dacheng Tao; Mang Ye (CoRR, 2024)

Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification. - Wenke Huang 003; Yuxia Liu; Mang Ye; Jun Chen 001; Bo Du 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding. - Qinghongya Shi; Mang Ye; Wenke Huang 003; Weijian Ruan; Bo Du 001 (IEEE Trans. Image Process., 2024)

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. - Wenke Huang 003; Mang Ye; Zekun Shi; Bo Du 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. - Wenke Huang 003; Mang Ye; Zekun Shi; Guancheng Wan; He Li 054; Bo Du 001; Qiang Yang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Label-Free Backdoor Attacks in Vertical Federated Learning. - Wei Shen 006; Wenke Huang 003; Guancheng Wan; Mang Ye (AAAI, 2025)

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. - Jian Liang 001; Wenke Huang 003; Guancheng Wan; Qu Yang; Mang Ye (CVPR, 2025)

EMOE: Modality-Specific Enhanced Dynamic Emotion Experts. - Yiyang Fang; Wenke Huang 003; Guancheng Wan; Kehua Su; Mang Ye (CVPR, 2025)

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. - Zihan Tan; Guancheng Wan; Wenke Huang 003; He Li 054; Guibin Zhang; Carl Yang 001; Mang Ye (CVPR, 2025)

Energy-based Backdoor Defense Against Federated Graph Learning. - Guancheng Wan; Zitong Shi; Wenke Huang 003; Guibin Zhang; Dacheng Tao; Mang Ye (ICLR, 2025)

Pixel-wise Divide and Conquer for Federated Vessel Segmentation. - Tian Chen; Wenke Huang 003; Zhihao Wang; Zekun Shi; He Li 054; Wenhui Dong; Mang Ye; Bo Du 001; Yongchao Xu (IJCAI, 2025)

An Empirical Study of Federated Prompt Learning for Vision Language Model. - Zhihao Wang; Wenke Huang 003; Tian Chen; Zekun Shi; Guancheng Wan; Yu Qiao; Bin Yang 026; Jian Wang; Bing Li; Mang Ye (IJCAI, 2025)

Self-knowledge distillation with dimensional history knowledge. - Wenke Huang 003; Mang Ye; Zekun Shi; He Li 054; Bo Du 001 (Sci. China Inf. Sci., 2025)

Kindle Federated Generalization With Domain Specialized and Invariant Knowledge. - Wenke Huang 003; Mang Ye; Zekun Shi; He Li 054; Bo Du 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Gradient and Structure Consistency in Multimodal Emotion Recognition. - Qinghongya Shi; Mang Ye; Wenke Huang 003; Bo Du 001; Xiaofen Zong (IEEE Trans. Image Process., 2025)

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations. - Mang Ye; Xuankun Rong; Wenke Huang 003; Bo Du 001; Nenghai Yu; Dacheng Tao (CoRR, 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang 003; Jian Liang 001; Xianda Guo; Yiyang Fang; Guancheng Wan; Xuankun Rong; Chi Wen; Zekun Shi; Qingyun Li; Didi Zhu; Yanbiao Ma; Ke Liang; et al. (CoRR, 2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. - Zitong Shi; Guancheng Wan; Wenke Huang 003; Guibin Zhang; Jiawei Shao; Mang Ye; Carl Yang 001 (CoRR, 2025)

3D Human Interaction Generation: A Survey. - Siyuan Fan; Wenke Huang 003; Xiantao Cai; Bo Du 001 (CoRR, 2025)

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. - Yuang Jia; Xiaojuan Shan; Jun Xia 001; Guancheng Wan; Yuchen Zhang; Wenke Huang 003; Mang Ye; Stan Z. Li (CoRR, 2025)

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. - Jinhe Bi; Danqi Yan; Yifan Wang 021; Wenke Huang 003; Haokun Chen; Guancheng Wan; Mang Ye; Xun Xiao; Hinrich Schütze; Volker Tresp; Yunpu Ma (CoRR, 2025)

Backdoor Cleaning without External Guidance in MLLM Fine-tuning. - Xuankun Rong; Wenke Huang 003; Jian Liang 001; Jinhe Bi; Xun Xiao; Yiming Li; Bo Du 001; Mang Ye (CoRR, 2025)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation. - Jian Liang 001; Wenke Huang 003; Xianda Guo; Guancheng Wan; Bo Du 001; Mang Ye (CoRR, 2025)

An Empirical Study of Federated Prompt Learning for Vision Language Model. - Zhihao Wang; Wenke Huang 003; Tian-Long Chen 001; Zekun Shi; Guancheng Wan; Yu Qiao; Bin Yang 026; Jian Wang; Bing Li; Mang Ye (CoRR, 2025)

S2FGL: Spatial Spectral Federated Graph Learning. - Zihan Tan; Suyuan Huang 003; Guancheng Wan; Wenke Huang 003; He Li 054; Mang Ye (CoRR, 2025)

Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID. - Xin Xu 007; Chaoyue Ren; Wei Liu 183; Wenke Huang 003; Bin Yang 026; Zhixi Yu; Kui Jiang (CoRR, 2025)

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. - Yanbiao Ma; Wei Dai; Bowei Liu; Jiayi Chen; Wenke Huang 003; Guancheng Wan; Zhiwu Lu 001; Junchi Yan (CoRR, 2025)

MAPO: Mixed Advantage Policy Optimization. - Wenke Huang 003; Quan Zhang; Yiyang Fang; Jian Liang 001; Xuankun Rong; Huanjin Yao; Guancheng Wan; Ke Liang; Wenwen He; Mingjun Li; Leszek Rutkowski; Mang Ye; et al. (CoRR, 2025)

Lightweight Federated Domain Generalization With Global-Local Contrastive Learning for Machine Fault Diagnosis. - Rui Wang 081; Weiguo Huang; Wenke Huang 003 (IEEE Internet Things J., 2025)