| 2026 | AAAI | RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation. | Xuetao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang, Yiming Wang, Mengde Li, Mang Ye, Jifeng Xuan, Miao Li |
| 2026 | AAAI | Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model. | Xuankun Rong, Wenke Huang, Wenzheng Jiang, Yiming Li, Wenxuan Wang, Mang Ye |
| 2026 | AAAI | Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense. | Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, Quan Zhang, Mang Ye |
| 2026 | AAAI | Federated Context-Aware Personalized Recommendation. | Zhihao Wang, Xiaoying Liao, Wenke Huang, Bingqian Liu, Tian Chen, Jian Wang, Bing Li |
| 2026 | AAAI | DAWN: Distributed LLM Multi-Agent Workflow Synthesis. | Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang |
| 2026 | AAAI | Domain-Aware Suppression and Aggregation for Federated DG ReID. | Zhixi Yu, Wei Liu, Wenke Huang, Bin Yang, Qian Bie, Guancheng Wan, Xin Xu |
| 2026 | AAAI | Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation. | Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye |
| 2026 | KDD | FedPRE: Robust Federated Graph Learning against Topological Corruption. | Zihan Tan, Guancheng Wan, Wenke Huang, Bin Yang, Mang Ye |
| 2026 | WWW | Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding. | Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang |
| 2026 | WWW | DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing. | Ting Qiao, Xing Liu, Wenke Huang, Jianbin Li, Zhaoxin Fan, Yiming Li |
| 2025 | AAAI | Label-Free Backdoor Attacks in Vertical Federated Learning. | Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye |
| 2025 | AAAI | Federated Recommendation with Explicitly Encoding Item Bias. | Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li |
| 2025 | CVPR | LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. | Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye |
| 2025 | CVPR | EMOE: Modality-Specific Enhanced Dynamic Emotion Experts. | Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye |
| 2025 | CVPR | Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning. | Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen |
| 2025 | CVPR | FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. | Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye |
| 2025 | ICCV | Unsupervised Visible-Infrared Person Re-Identification Under Unpaired Settings. | Haoyu Yao, Bin Yang, Wenke Huang, Bo Du, Mang Ye |
| 2025 | ICLR | Energy-based Backdoor Defense Against Federated Graph Learning. | Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models. | Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye |
| 2025 | ICML | FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation. | Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye |
| 2025 | ICML | SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution. | Wenwen He, Wenke Huang, Bin Yang, Shukan Liu, Mang Ye |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | S2FGL: Spatial Spectral Federated Graph Learning. | Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye |
| 2025 | ICML | Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation. | Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | MOBICOM | Poster: Automatically Generating High-Precision Simulated Road Networking in Traffic Scenario. | Liang Xie, Wenke Huang |
| 2024 | AAAI | Federated Graph Learning under Domain Shift with Generalizable Prototypes. | Guancheng Wan, Wenke Huang, Mang Ye |
| 2024 | CVPR | Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity. | Yuhang Chen, Wenke Huang, Mang Ye |
| 2024 | CVPR | FedAS: Bridging Inconsistency in Personalized Federated Learning. | Xiyuan Yang, Wenke Huang, Mang Ye |
| 2024 | ECCV | Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. | Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao |
| 2024 | ICML | Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning. | Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du |
| 2024 | ICML | S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. | Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye |
| 2023 | CVPR | Rethinking Federated Learning with Domain Shift: A Prototype View. | Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du |
| 2023 | IJCAI | Federated Graph Semantic and Structural Learning. | Wenke Huang, Guancheng Wan, Mang Ye, Bo Du |
| 2022 | CVPR | Learn from Others and Be Yourself in Heterogeneous Federated Learning. | Wenke Huang, Mang Ye, Bo Du |
| 2022 | ICONIP | Towards Hardware-Friendly and Robust Facial Landmark Detection Method. | Liang Xie, Menghao Hu, Xinbei Bai, Wenke Huang |