ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU. - Zhengmao Ye; Dengchun Li; Jingqi Tian; Tingfeng Lan; Jie Zuo; Lei Duan; Hui Lu 001; Yexi Jiang; Jian Sha; Ke Zhang; Mingjie Tang (CoRR, 2023)

MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA based Mixture of Experts. - Dengchun Li; Yingzi Ma; Naizheng Wang; Zhiyuan Cheng 010; Lei Duan; Jie Zuo; Cal Yang; Mingjie Tang (CoRR, 2024)

mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs. - Zhengmao Ye; Dengchun Li; Zetao Hu; Tingfeng Lan; Jian Sha; Shicong Zhang; Lei Duan; Jie Zuo; Hui Lu 001; Yuanchun Zhou; Mingjie Tang (Proc. VLDB Endow., 2025)

DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism. - Dengchun Li; Naizheng Wang; Zihao Zhang; Haoyang Yin; Lei Duan; Meng Xiao; Mingjie Tang (CoRR, 2025)