Basic Profiling Extraction Based on XGBoost. - Wenhan Yang; Boyu Sun; Banruo Liu (CCKS (Evaluation Track), 2021)

Application Defined Networks. - Xiangfeng Zhu; Weixin Deng; Banruo Liu; Jingrong Chen 002; Yongji Wu; Thomas Anderson; Arvind Krishnamurthy; Ratul Mahajan; Danyang Zhuo (HotNets, 2023)

Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. - Banruo Liu; Mubarak Adetunji Ojewale; Yuhan Ding; Marco Canini (APSys, 2024)

Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. - Banruo Liu; Mubarak Adetunji Ojewale; Yuhan Ding; Marco Canini (NAIC, 2024)

High-level Programming for Application Networks. - Xiangfeng Zhu; Yuyao Wang; Banruo Liu; Yongtong Wu; Nikola Bojanic; Jingrong Chen 002; Gilbert Louis Bernstein; Arvind Krishnamurthy; Sam Kumar; Ratul Mahajan; Danyang Zhuo (NSDI, 2025)

Circinus: Efficient Query Planner for Compound ML Serving. - Banruo Liu; Wei-Yu Lin; Minghao Fang; Yihan Jiang; Fan Lai 001 (CoRR, 2025)

Tempo: Application-aware LLM Serving with Mixed SLO Requirements. - Wei Zhang; Zhiyu Wu; Yi Mu 005; Banruo Liu; Myungjin Lee; Fan Lai 001 (CoRR, 2025)

Single-agent or Multi-agent Systems? Why Not Both? - Mingyan Gao; Yanzi Li; Banruo Liu; Yifan Yu; Phillip Wang; Ching-Yu Lin; Fan Lai 001 (CoRR, 2025)