Biography
Jincong Lu received his bachelor degree from the University of Science and Technology of China in 2018. He is currently pursuing a Ph.D. degree in Computer Science and Engineering at the University of California, Riverside. His research in VLSI System and Computation Lab (VSCLAB) focuses on machine-learning-based reliability modeling, thermal modeling, and dynamic thermal management in chip design.
Education
-
Department of Computer Science and Engineering, University of California, Riverside (UCR)
2020-Present, Ph.D. advanced to candidacy, Major in Computer Science
-
Department of Modern Physics, University of Science and Technology of China (USTC)
2014-2018, Bachelor of Science, Major in Theoretical Physics
-
School of Computer Science and Technology, USTC
2014-2018, Bachelor of Engineering, Major in Computer Science
Publication List
- Jincong Lu, Jinwei Zhang, Wentian Jin, Sachin Sachdeva, Sheldon Tan, "Learning Based Spatial Power Characterization and Full-Chip Power Estimation for Commercial TPUs", ASP-DAC'23, Jan. 16β19, 2023
- Jincong Lu, Jinwei Zhang, Sheldon Tan, "Real-time Thermal Map Estimation for AMD Multi-Core CPUs Using Transformer", ICCAD'23, Oct. 28 - Nov. 2, 2023
- Liang Chen, Jincong Lu, Wentian Jin, Sheldon Tan, "Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks", ICCAD'23, Oct. 28 - Nov. 2, 2023
- Sachin Sachdeva, Jincong Lu, Hussam Amrouch, Sheldon Tan, "Exploring BTI aging effects on spatial power density and temperature profiles of VLSI chips", Integration, 2024
- Jincong Lu, Sheldon Tan, "Thermal Map Dataset for Commercial Multi/Many Core CPU/GPU/TPU", MLCAD'24, Sept. 9-11, 2024
- Jincong Lu, Sachin Sachdeva, Yuxuan Lin, Sheldon Tan, "Real-time Thermal Map Characterization and Analysis for Commercial GPUs with AI Workloads", ISQED'25, Apr. 23-25, 2025
- Jincong Lu, Sachin Sachdeva, Haotian Lu, Sheldon Tan, "Power Map Characterization and Modeling for Commercial CPU/GPUs Considering Temperature Dependence", Accepted for publication in ISLPED'25, Aug. 6-8, 2025
Teaching (as Teaching Assistant, at UCR)
-
CS010A: Intro to Computer Science for Science, Mathematics, & Engineering (C++)
2021Fall, 2022Fall
-
CS010B: Intro to Computer Science for Science, Mathematics, & Engineering II (C++)
2022Spring
-
CS150: Automata and Formal Languages
2023Spring
-
CS161L: Laboratory in Design & Architecture of Computer Systems
2023Winter
-
EE/CS168: Introduction to Very Large Scale Integration Design
2022Winter