Wentian Jin

19 papers A* 1A 7C 1Misc 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A conf
Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks.
ICCAD
Liang Chen, Jincong Lu, Wentian Jin, Sheldon X.-D. Tan
2023 J jnl
GridNetOpt: Fast Full-Chip EM-Aware Power Grid Optimization Accelerated by Deep Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Han Zhou, Yibo Liu, Wentian Jin, Sheldon X.-D. Tan
2023 — conf
Learning Based Spatial Power Characterization and Full-Chip Power Estimation for Commercial TPUs.
ASP-DAC
Jincong Lu, Jinwei Zhang, Wentian Jin, Sachin Sachdeva, Sheldon X.-D. Tan
2023 J jnl
Linear Time Electromigration Analysis Based on Physics-Informed Sparse Regression.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Liang Chen, Wentian Jin, Mohammadamir Kavousi, Subed Lamichhane, Sheldon X.-D. Tan
2023 A conf
PostPINN-EM: Fast Post-Voiding Electromigration Analysis Using Two-Stage Physics-Informed Neural Networks.
ICCAD
Subed Lamichhane, Wentian Jin, Liang Chen, Mohammadamir Kavousi, Sheldon X.-D. Tan
2023 J jnl
Thermoelectric Cooler Modeling and Optimization via Surrogate Modeling Using Implicit Physics-Constrained Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Liang Chen, Wentian Jin, Jinwei Zhang, Sheldon X.-D. Tan
2022 — conf
Fast Thermal Analysis for Chiplet Design based on Graph Convolution Networks.
ASP-DAC
Liang Chen, Wentian Jin, Sheldon X.-D. Tan
2022 A conf
HierPINN-EM: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnects Using Hierarchical Physics-Informed Neural Network.
ICCAD
Wentian Jin, Liang Chen, Subed Lamichhane, Mohammadamir Kavousi, Sheldon X.-D. Tan
2021 A conf
Data-Driven Electrostatics Analysis based on Physics-Constrained Deep learning.
DATE
Wentian Jin, Shaoyi Peng, Sheldon X.-D. Tan
2021 A* conf
EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks.
DAC
Wentian Jin, Liang Chen, Sheriff Sadiqbatcha, Shaoyi Peng, Sheldon X.-D. Tan
2021 — conf
Fast Electrostatic Analysis For VLSI Aging based on Generative Learning.
MLCAD
Subed Lamichhane, Shaoyi Peng, Wentian Jin, Sheldon X.-D. Tan
2021 Misc conf
Special Session: Machine Learning for Semiconductor Test and Reliability.
VTS
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
2020 A conf
Accurate Power Density Map Estimation for Commercial Multi-Core Microprocessors.
DATE
Jinwei Zhang, Sheriff Sadiqbatcha, Wentian Jin, Sheldon X.-D. Tan
2020 — conf
Data-Driven Fast Electrostatics and TDDB Aging Analysis.
MLCAD
Shaoyi Peng, Wentian Jin, Liang Chen, Sheldon X.-D. Tan
2020 C conf
EM-GAN: Data-Driven Fast Stress Analysis for Multi-Segment Interconnects.
ICCD
Wentian Jin, Sheriff Sadiqbatcha, Zeyu Sun, Han Zhou, Sheldon X.-D. Tan
2020 J jnl
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks.
CoRR
Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan
2020 A conf
Full-Chip Thermal Map Estimation for Commercial Multi-Core CPUs with Generative Adversarial Learning.
ICCAD
Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan
2020 A conf
GridNet: Fast Data-Driven EM-Induced IR Drop Prediction and Localized Fixing for On-Chip Power Grid Networks.
ICCAD
Han Zhou, Wentian Jin, Sheldon X.-D. Tan
2019 J jnl
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem.
CoRR
Chase Cook, Wentian Jin, Sheldon X.-D. Tan