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)

DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the cloud. - Qinlong Wang; Tingfeng Lan; Yinghao Tang; Bo Sang; Ziling Huang; Yiheng Du; Haitao Zhang; Jian Sha; Hui Lu 001; Yuanchun Zhou; Ke Zhang; Mingjie Tang (Proc. VLDB Endow., 2024)

λScale: Enabling Fast Scaling for Serverless Large Language Model Inference. - Minchen Yu; Rui Yang; Chaobo Jia; Zhaoyuan Su; Sheng Yao; Tingfeng Lan; Yuchen Yang; Yue Cheng 001; Wei Wang 030; Ao Wang; Ruichuan Chen (CoRR, 2025)

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)

Towards Efficient LLM Storage Reduction via Tensor Deduplication and Delta Compression. - Zirui Wang; Tingfeng Lan; Zhaoyuan Su; Juncheng Yang; Yue Cheng (CoRR, 2025)

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates. - Tingfeng Lan; Yusen Wu; Bin Ma; Zhaoyuan Su; Rui Yang; Tekin Bicer; Dong Li 001; Yue Cheng 001 (CoRR, 2025)

SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference. - Yinghao Tang; Tingfeng Lan; Xiuqi Huang; Hui Lu; Wei Chen 001 (CoRR, 2025)

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing. - Zhaoyuan Su; Tingfeng Lan; Zirui Wang; Juncheng Yang; Yue Cheng (CoRR, 2025)