Biography
Jincong Lu received his bachelor's degree from the University of Science and Technology of China in 2018 and his Ph.D. degree in Computer Science from the University of California, Riverside in 2026. His research in the VLSI System and Computation Lab (VSCLAB) focused on machine-learning-based reliability modeling, thermal modeling, and dynamic thermal management in chip design.
Education
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Department of Computer Science and Engineering, University of California, Riverside (UCR)
2020-2026, Ph.D., Major in Computer Science
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Department of Modern Physics, University of Science and Technology of China (USTC)
2014-2018, Bachelor of Science, Major in Theoretical Physics
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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", ISLPED'25, Aug. 6-8, 2025
Teaching (as Teaching Assistant, at UCR)
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CS010A: Intro to Computer Science for Science, Mathematics, & Engineering (C++)
2021Fall, 2022Fall
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CS010B: Intro to Computer Science for Science, Mathematics, & Engineering II (C++)
2022Spring
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CS150: Automata and Formal Languages
2023Spring
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CS161L: Laboratory in Design & Architecture of Computer Systems
2023Winter
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EE/CS168: Introduction to Very Large Scale Integration Design
2022Winter