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

Towards Hardware-Friendly and Robust Facial Landmark Detection Method. - Liang Xie; Menghao Hu; Xinbei Bai; Wenke Huang (ICONIP (5), 2022)

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

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

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

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

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

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

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

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. - Guancheng Wan; Yijun Tian 001; Wenke Huang; 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 (ACM Multimedia, 2024)

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

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

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

Robust Attitude Tracking Control Based on Adaptive Dynamic Programming for Flexible Dumbbell-Shaped Spacecraft. - Wenke Huang; Guangtao Ran; Bohui Wang; Dongyu Li; Wenye Dong (IEEE Trans. Aerosp. Electron. Syst., 2024)

Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification. - Wenke Huang; 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; Weijian Ruan; Bo Du 001 (IEEE Trans. Image Process., 2024)

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. - Wenke Huang; 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; Mang Ye; Zekun Shi; Guancheng Wan; He Li; 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; Guancheng Wan; Mang Ye (AAAI, 2025)

Federated Recommendation with Explicitly Encoding Item Bias. - Zhihao Wang 002; He Bai 014; Wenke Huang; Duantengchuan Li; Jian Wang; Bing Li (AAAI, 2025)

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

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

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

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

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

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

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

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

Fast Finite-Time Formation Control of UAVs With Multiple Loops and External Disturbances. - Wenke Huang; Yanning Guo; Guangtao Ran; Hak-Keung Lam; Jian Liu 006; Bohui Wang (IEEE Trans. Intell. Veh., 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang; 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; Guibin Zhang; Jiawei Shao; Mang Ye; Carl Yang 001 (CoRR, 2025)

3D Human Interaction Generation: A Survey. - Siyuan Fan; Wenke Huang; 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; Mang Ye; Stan Z. Li (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. - Jinhe Bi; Danqi Yan; Yifan Wang 021; Wenke Huang; 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; 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; 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; 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; Guancheng Wan; Wenke Huang; He Li; 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; Wenke Huang; Bin Yang 026; Zhixi Yu; Kui Jiang (CoRR, 2025)