Tingfeng Lan

According to our database, Tingfeng Lan authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 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

CoRR, May, 2025

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates.

Tingfeng Lan, Yusen Wu, Bin Ma, Zhaoyuan Su, Rui Yang, Tekin Bicer, Dong Li, Yue Cheng

CoRR, May, 2025

Towards Efficient LLM Storage Reduction via Tensor Deduplication and Delta Compression.

Zirui Wang, Tingfeng Lan, Zhaoyuan Su, Juncheng Yang, Yue Cheng

CoRR, May, 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, Yuanchun Zhou, Mingjie Tang

Proc. VLDB Endow., February, 2025

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, Wei Wang, Ao Wang, Ruichuan Chen

CoRR, February, 2025

2024

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, Yuanchun Zhou, Ke Zhang, Mingjie Tang

Proc. VLDB Endow., August, 2024

2023

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, Yexi Jiang, Jian Sha, Ke Zhang, Mingjie Tang

CoRR, 2023