About Me
Email: yli81@wm.edu
I am a Ph.D. candidate at William & Mary since Fall 2020, co-advised by Prof. Yifan Sun & Prof. Adwait Jog. Before that, I received my B.Eng. degree in Computer Science and Technology at Shandong University, China.
My research aims to enable intelligent decision-making in designing next-generation AI infrastructure. Specifically, advancing performance modeling, simulation, and analysis methodologies that connect compiler, runtime, and hardware behavior for DNN workloads on single and multi-GPU systems, making AI system behavior predictable and explainable.
I am currently on the job market for tenure-track faculty positions. Please feel free to reach out if you come across any relevant opportunities.
Education
College of William and Mary
2020 - Now
Doctor of Philosophy
Computer Science
Shandong University
2014 - 2018
Bachelor of Engineering
Computer Science and Technology
Peer-Reviewed Publications
HPCA 2026
"HDPAT: Hierarchical Distributed Page Address Translation for Wafer-Scale GPUs"
Daoxuan Xu, Ying Li, Yuwei Sun, Jie Ren, Yifan Sun
2026 IEEE 32nd International Symposium on High-Performance Computer Architecture (Acceptance Rate: 119/602 = 19.77%) (To appear)
ISCA 2025 [PDF] [Github] [Slides]
"TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems"
Ying Li, Yuhui Bao, Gongyu Wang, Xinxin Mei, Pranav Vaid, Anandaroop Ghosh, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun
2025 ACM/IEEE 52nd Annual International Symposium on Computer Architecture (Acceptance Rate: 132/570 = 23.16%)
MICRO 2023 [PDF] [Artifact]
"Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads"
Ying Li, Yifan Sun, Adwait Jog
2023 56th IEEE/ACM International Symposium on Microarchitecture (Acceptance Rate: 101/424 = 23.82%)
Workshop or Poster Publications
CAMS 2023
Workshop: "TraceSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems"
Ying Li, Yuhui Bao, Pranav Vaid, Gongyu Wang, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun
The 1st Workshop on Computer Architecture Modeling and Simulation
ISPASS 2023 [PDF]
Poster: "A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs"
Ying Li, Yifan Sun, Adwait Jog
2023 IEEE International Symposium on Performance Analysis of Systems and Software
Teaching Experience
Guest Lecturer - William & Mary
CSCI 654 Advanced Computer Architecture (Spring 2025)
Topic: Performance Modeling for DNN Workloads across Single and Multi-GPU Systems
Teaching Assistant - William & Mary
CSCI 424 Computer Architecture (Spring 2022)
CSCI 420 Performance of Systems (Fall 2021)
CSCI 426 Simulation (Fall 2021)
Talks
Performance Modeling for DNN Workloads on Single and Multi-GPU Systems
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), W&M Research Computing Booth, Nov 2025
Meta, Dec 2025
TraceSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems
ACM The Capital Region Celebration of Women in Computing Conference (CAPWIC), Apr 2024
Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads
William & Mary, Nov 2023
56th IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct 2023
University of Virginia, Oct 2023
A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs
2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Apr 2023
Honors & Awards
2024 Honorable Mention for Research Shorts at CAPWIC 2024
2024 Scholarship attending CAPWIC 2024
2023 Best Poster for W&M Computer Science Symposium for Graduate Studies
2023 GSA Conference Funds from William & Mary
2023 Student Travel Grant for MICRO
2023 Student Travel Grant for ISPASS
2022 Student Travel Grant for ISCA
2015 The Second Campus Scholarship of Shandong University
2014 National Encouragement Scholarship
Service
Service to the Profession
Program Committee: CAMS 2024
External Conference Reviewer: CF ’23 (20th ACM International Conference on Computing Frontiers), CF ’24
Artifact Evaluation Committee: PPoPP 2024
Web Chair: CAMS 2023 (The 1st Workshop on Computer Architecture Modeling and Simulation)
Service at William & Mary
Volunteer for W&M Research Computing at SC 2025
Panelist at W&M Computer Science Symposium for Graduate Studies 2023
Graduate Chaperone of W&M at GHC 2023