AgentBench: Evaluating LLMs as Agents. - Xiao Liu 036; Hao Yu; Hanchen Zhang; Yifan Xu; Xuanyu Lei; Hanyu Lai; Yu Gu 016; Hangliang Ding; Kaiwen Men; Kejuan Yang; Shudan Zhang; Xiang Deng 001; et al. (ICLR, 2024)

MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache. - Akshat Sharma; Hangliang Ding; Jianping Li; Neel Dani; Minjia Zhang (CoRR, 2024)

MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference. - Akshat Sharma; Hangliang Ding; Jianping Li; Neel Dani; Minjia Zhang (ACL (Findings), 2025)

Fast Video Generation with Sliding Tile Attention. - Peiyuan Zhang; Yongqi Chen; Runlong Su; Hangliang Ding; Ion Stoica; Zhenghong Liu; Hao Zhang 025 (CoRR, 2025)

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile. - Hangliang Ding; Dacheng Li; Runlong Su; Peiyuan Zhang; Zhijie Deng; Ion Stoica; Hao Zhang 025 (CoRR, 2025)