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Wentian Jin
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2020 – today
- 2023
- [j3]Han Zhou, Yibo Liu, Wentian Jin, Sheldon X.-D. Tan:
GridNetOpt: Fast Full-Chip EM-Aware Power Grid Optimization Accelerated by Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1662-1675 (2023) - [j2]Liang Chen, Wentian Jin, Jinwei Zhang, Sheldon X.-D. Tan:
Thermoelectric Cooler Modeling and Optimization via Surrogate Modeling Using Implicit Physics-Constrained Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4090-4101 (2023) - [j1]Liang Chen, Wentian Jin, Mohammadamir Kavousi, Subed Lamichhane, Sheldon X.-D. Tan:
Linear Time Electromigration Analysis Based on Physics-Informed Sparse Regression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4126-4138 (2023) - [c14]Jincong Lu, Jinwei Zhang, Wentian Jin, Sachin Sachdeva, Sheldon X.-D. Tan:
Learning Based Spatial Power Characterization and Full-Chip Power Estimation for Commercial TPUs. ASP-DAC 2023: 98-103 - [c13]Liang Chen, Jincong Lu, Wentian Jin, Sheldon X.-D. Tan:
Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks. ICCAD 2023: 1-8 - [c12]Subed Lamichhane, Wentian Jin, Liang Chen, Mohammadamir Kavousi, Sheldon X.-D. Tan:
PostPINN-EM: Fast Post-Voiding Electromigration Analysis Using Two-Stage Physics-Informed Neural Networks. ICCAD 2023: 1-9 - 2022
- [c11]Liang Chen, Wentian Jin, Sheldon X.-D. Tan:
Fast Thermal Analysis for Chiplet Design based on Graph Convolution Networks. ASP-DAC 2022: 485-492 - [c10]Wentian Jin, Liang Chen, Subed Lamichhane, Mohammadamir Kavousi, Sheldon X.-D. Tan:
HierPINN-EM: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnects Using Hierarchical Physics-Informed Neural Network. ICCAD 2022: 28:1-28:9 - 2021
- [c9]Wentian Jin, Liang Chen, Sheriff Sadiqbatcha, Shaoyi Peng, Sheldon X.-D. Tan:
EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks. DAC 2021: 919-924 - [c8]Wentian Jin, Shaoyi Peng, Sheldon X.-D. Tan:
Data-Driven Electrostatics Analysis based on Physics-Constrained Deep learning. DATE 2021: 1382-1387 - [c7]Subed Lamichhane, Shaoyi Peng, Wentian Jin, Sheldon X.-D. Tan:
Fast Electrostatic Analysis For VLSI Aging based on Generative Learning. MLCAD 2021: 1-6 - [c6]Hussam Amrouch, Animesh Basak Chowdhury, Wentian Jin, Ramesh Karri, Farshad Khorrami, Prashanth Krishnamurthy, Ilia Polian, Victor M. van Santen, Benjamin Tan, Sheldon X.-D. Tan:
Special Session: Machine Learning for Semiconductor Test and Reliability. VTS 2021: 1-11 - 2020
- [c5]Jinwei Zhang, Sheriff Sadiqbatcha, Wentian Jin, Sheldon X.-D. Tan:
Accurate Power Density Map Estimation for Commercial Multi-Core Microprocessors. DATE 2020: 1085-1090 - [c4]Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan:
Full-Chip Thermal Map Estimation for Commercial Multi-Core CPUs with Generative Adversarial Learning. ICCAD 2020: 14:1-14:9 - [c3]Han Zhou, Wentian Jin, Sheldon X.-D. Tan:
GridNet: Fast Data-Driven EM-Induced IR Drop Prediction and Localized Fixing for On-Chip Power Grid Networks. ICCAD 2020: 160:1-160:9 - [c2]Wentian Jin, Sheriff Sadiqbatcha, Zeyu Sun, Han Zhou, Sheldon X.-D. Tan:
EM-GAN: Data-Driven Fast Stress Analysis for Multi-Segment Interconnects. ICCD 2020: 296-303 - [c1]Shaoyi Peng, Wentian Jin, Liang Chen, Sheldon X.-D. Tan:
Data-Driven Fast Electrostatics and TDDB Aging Analysis. MLCAD 2020: 71-76 - [i2]Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan:
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks. CoRR abs/2004.13181 (2020)
2010 – 2019
- 2019
- [i1]Chase Cook, Wentian Jin, Sheldon X.-D. Tan:
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem. CoRR abs/1908.00210 (2019)
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