Wentian Jin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Graph Partitioning

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

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) (2023)
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)
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)
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) (2023)
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) (2023)
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)
Liang Chen, Wentian Jin, Sheldon X.-D. Tan
Fast Thermal Analysis for Chiplet Design based on Graph Convolution Networks. ASP-DAC (2022)
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)
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)
Wentian Jin, Shaoyi Peng, Sheldon X.-D. Tan
Data-Driven Electrostatics Analysis based on Physics-Constrained Deep learning. DATE (2021)
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)
Subed Lamichhane, Shayoi Peng, Wentian Jin, Sheldon X.-D. Tan
Fast Electrostatic Analysis For VLSI Aging based on Generative Learning. MLCAD (2021)
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)
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)
Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks. CoRR (2020)
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)
Jinwei Zhang, Sheriff Sadiqbatcha, Wentian Jin, Sheldon X.-D. Tan
Accurate Power Density Map Estimation for Commercial Multi-Core Microprocessors. DATE (2020)
Shaoyi Peng, Wentian Jin, Liang Chen, Sheldon X.-D. Tan
Data-Driven Fast Electrostatics and TDDB Aging Analysis. MLCAD (2020)
Chase Cook, Wentian Jin, Sheldon X.-D. Tan
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem. CoRR (2019)