FedCoop: Cooperative Federated Learning for Noisy Labels. - Kahou Tam; Li Li 064; Yan Zhao; Chengzhong Xu 001 (ECAI, 2023)

Breaking On-device Training Memory Wall: A Systematic Survey. - Shitian Li; Chunlin Tian; Kahou Tam; Rui Ma; Li Li 064 (CoRR, 2023)

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. - Haicheng Liao; Xuelin Li; Yongkang Li 003; Hanlin Kong; Chengyue Wang 001; Bonan Wang; Yanchen Guan; KaHou Tam; Zhenning Li 001 (IJCAI, 2024)

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; Kahou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li 001 (ACM Multimedia, 2024)

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. - Haicheng Liao; Haoyu Sun; Huanming Shen; Chengyue Wang 001; Chunlin Tian; KaHou Tam; Li Li 064; Chengzhong Xu 001; Zhenning Li 001 (ACM Multimedia, 2024)

FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. - Kahou Tam; Chunlin Tian; Li Li 064; Haikai Zhao; Chengzhong Xu 001 (SenSys, 2024)

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. - Haicheng Liao; Xuelin Li; Yongkang Li 003; Hanlin Kong; Chengyue Wang 001; Bonan Wang; Yanchen Guan; KaHou Tam; Zhenning Li 001; Chengzhong Xu 001 (CoRR, 2024)

Towards Federated Domain Unlearning: Verification Methodologies and Challenges. - Kahou Tam; Kewei Xu; Li Li 064; Huazhu Fu (CoRR, 2024)

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; KaHou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li 001 (CoRR, 2024)

Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. - Chunlin Tian; Li Li 064; Kahou Tam; Yebo Wu; Cheng-Zhong Xu 001 (IEEE Trans. Parallel Distributed Syst., 2024)

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. - Chunlin Tian; Xinpeng Qin; Kahou Tam; Li Li 064; Zijian Wang; Yuanzhe Zhao; Minglei Zhang; Chengzhong Xu 001 (USENIX ATC, 2025)

Federated Noisy Client Learning. - Kahou Tam; Li Li 064; Bo Han 003; Cheng-Zhong Xu 001; Huazhu Fu (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Survey on Federated Fine-tuning of Large Language Models. - Yebo Wu; Chunlin Tian; Jingguang Li; He Sun; Kahou Tam; Li Li 064; Chengzhong Xu 001 (CoRR, 2025)

FedIA: A Plug-and-Play Importance-Aware Gradient Pruning Aggregation Method for Domain-Robust Federated Graph Learning on Node Classification. - Zhanting Zhou; KaHou Tam; Zeqin Wu; Pengzhao Sun; Jinbo Wang; Fengli Zhang (CoRR, 2025)