Multistage Model Predictive Control based on Data-Driven Distributionally Robust Optimization. - Shuwen Lu; Fengqi You (ACC, 2020)

ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. - Zhihui Zhang; Jingwen Leng; Shuwen Lu; Youshan Miao; Yijia Diao; Minyi Guo; Chao Li 009; Yuhao Zhu 001 (CoRR, 2021)

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. - Yangjie Zhou 001; Jingwen Leng; Yaoxu Song; Shuwen Lu; Mian Wang; Chao Li 009; Minyi Guo; Wenting Shen; Yong Li 020; Wei Lin 016; Xiangwen Liu; Hanqing Wu (ASPLOS (2), 2023)

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. - Shuwen Lu; Zhihui Zhang; Cong Guo 003; Jingwen Leng; Yangjie Zhou 001; Minyi Guo (CoRR, 2023)

Physician Staffing in Telemedicine: A Simulation-Based Approach for a Network of CVS Minute Clinics. - Shuwen Lu; Mark E. Lewis; Jamol Pender (WSC, 2024)