Tian, Chunlin

5 publications

TMLR 2026 A Survey on Federated Fine-Tuning of Large Language Models Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, KaHou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-zhong Xu
ICLRW 2025 AsymLoRA: Unlocking the Power of Multimodal LLMs via Asymmetric LoRA Xuyang Wei, Chunlin Tian, Li Li
IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-Based Optimization Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
NeurIPS 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu
ICML 2024 Ranking-Based Client Imitation Selection for Efficient Federated Learning Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Cheng-Zhong Xu