The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. - Lingdong Kong; Yaru Niu; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit R. Cottereau; Ding Zhao; Liangjun Zhang; Hesheng Wang 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 2023)

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences. - Sun Ao; Weilin Zhao; Xu Han 007; Cheng Yang 002; Zhiyuan Liu 001; Chuan Shi 001; Maosong Sun 001; Shengnan Wang; Teng Su (CoRR, 2024)

APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs. - Yuxiang Huang; Mingye Li; Xu Han 007; Chaojun Xiao; Weilin Zhao; Sun Ao; Hao Zhou 012; Jie Zhou 016; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2025)

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling. - Weilin Zhao; Tengyu Pan; Xu Han 007; Yudi Zhang; Sun Ao; Yuxiang Huang; Kaihuo Zhang; Weilun Zhao; Yuxuan Li; Jie Zhou 016; Hao Zhou 012; Jianyong Wang 001; et al. (ACL (1), 2025)

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. - Sun Ao; Weilin Zhao; Xu Han 007; Cheng Yang 002; Xinrong Zhang; Zhiyuan Liu 001; Chuan Shi 001; Maosong Sun 001 (NAACL (Long Papers), 2025)