DynaGraph: dynamic graph neural networks at scale. - Mingyu Guan; Anand Padmanabha Iyer; Taesoo Kim (GRADES-NDA@SIGMOD, 2022)

Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation. - Anand Padmanabha Iyer; Mingyu Guan; Yinwei Dai; Rui Pan 003; Swapnil Gandhi; Ravi Netravali (SOSP, 2024)

HetTree: Heterogeneous Tree Graph Neural Network. - Mingyu Guan; Jack W. Stokes; Qinlong Luo; Fuchen Liu; Purvanshi Mehta; Elnaz Nouri; Taesoo Kim (CoRR, 2024)

Heterogeneous Graph Neural Network on Semantic Tree. - Mingyu Guan; Jack W. Stokes; Qinlong Luo; Fuchen Liu; Purvanshi Mehta; Elnaz Nouri; Taesoo Kim (AAAI, 2025)

Principles and Methodologies for Serial Performance Optimization. - Sujin Park; Mingyu Guan; Xiang Cheng; Taesoo Kim (OSDI, 2025)

ReInc: Scaling Training of Dynamic Graph Neural Networks. - Mingyu Guan; Saumia Singhal; Taesoo Kim; Anand Padmanabha Iyer (CoRR, 2025)