Kahou Tam

20 papers A* 3A 1Misc 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Federated Fine-Tuning of Large Language Models.
Trans. Mach. Learn. Res.
Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-Zhong Xu
2026 J jnl
Floe: Federated Specialization for Real-Time LLM-SLM Inference.
CoRR
Chunlin Tian, Kahou Tam, Yebo Wu, Shuaihang Zhong, Li Li, Nicholas D. Lane, Cheng-Zhong Xu
2025 J jnl
A Survey on Federated Fine-tuning of Large Language Models.
CoRR
Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Li Li, Chengzhong Xu
2025 — conf
CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge.
USENIX ATC
Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
2025 J jnl
CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge.
CoRR
Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
2025 J jnl
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management.
CoRR
Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Cheng-Zhong Xu
2025 J jnl
FedIA: A Plug-and-Play Importance-Aware Gradient Pruning Aggregation Method for Domain-Robust Federated Graph Learning on Node Classification.
CoRR
Zhanting Zhou, Kahou Tam, Zeqin Wu, Pengzhao Sun, Jinbo Wang, Fengli Zhang
2025 J jnl
Federated Noisy Client Learning.
IEEE Trans. Neural Networks Learn. Syst.
Kahou Tam, Li Li, Bo Han, Cheng-Zhong Xu, Huazhu Fu
2024 J jnl
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting.
CoRR
Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Chengzhong Xu
2024 J jnl
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting.
IEEE Trans. Parallel Distributed Syst.
Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Cheng-Zhong Xu
2024 A* conf
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
IJCAI
Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li
2024 A* conf
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.
ACM Multimedia
Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, Kahou Tam, Li Li, Chengzhong Xu, Zhenning Li
2024 J jnl
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.
CoRR
Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024 J jnl
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
CoRR
Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li, Chengzhong Xu
2024 Misc conf
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management.
SenSys
Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu
2024 J jnl
Towards Federated Domain Unlearning: Verification Methodologies and Challenges.
CoRR
Kahou Tam, Kewei Xu, Li Li, Huazhu Fu
2024 A* conf
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.
ACM Multimedia
Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024 J jnl
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
CoRR
Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2023 J jnl
Breaking On-device Training Memory Wall: A Systematic Survey.
CoRR
Shitian Li, Chunlin Tian, Kahou Tam, Rui Ma, Li Li
2023 A conf
FedCoop: Cooperative Federated Learning for Noisy Labels.
ECAI
Kahou Tam, Li Li, Yan Zhao, Chengzhong Xu