Towards Efficient and Reliable LLM Serving: A Real-World Workload Study. - Yuxin Wang 003; Yuhan Chen 008; Zeyu Li; Zhenheng Tang; Rui Guo; Xin Wang; Qiang Wang 022; Amelie Chi Zhou; Xiaowen Chu 001 (CoRR, 2024)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Dayou Du; Yuhan Chen 008; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Wenhan Luo; Qifeng Liu; Yike Guo; Xiaowen Chu 001 (CoRR, 2024)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Yuedong Zhong; Dayou Du; Ruibo Fan; Yuhan Chen 008; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Yike Guo; Xiaowen Chu 001 (ICLR, 2025)

BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems. - Yuxin Wang 003; Yuhan Chen 008; Zeyu Li; Xueze Kang; Yuchu Fang; Yeju Zhou; Yang Zheng; Zhenheng Tang; Xin He 019; Rui Guo; Xin Wang; Qiang Wang 022; et al. (KDD (2), 2025)

Reasoning Language Model Inference Serving Unveiled: An Empirical Study. - Qi Li; Junpan Wu; Xiang Liu 001; Yuxin Wang 003; Zeyu Li; Zhenheng Tang; Yuhan Chen 008; Shaohuai Shi; Xiaowen Chu 001 (CoRR, 2025)

ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities. - Weile Luo; Yuhan Chen 008; Xiangrui Yu; Qiang Wang 022; Ruibo Fan; Hongyuan Liu 002; Xiaowen Chu 001 (PPoPP, 2026)