Wentian Jin

According to our database, Wentian Jin authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Thermoelectric Cooler Modeling and Optimization via Surrogate Modeling Using Implicit Physics-Constrained Neural Networks.

Liang Chen, Wentian Jin, Jinwei Zhang, Sheldon X.-D. Tan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Linear Time Electromigration Analysis Based on Physics-Informed Sparse Regression.

Liang Chen, Wentian Jin, Mohammadamir Kavousi, Subed Lamichhane, Sheldon X.-D. Tan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

GridNetOpt: Fast Full-Chip EM-Aware Power Grid Optimization Accelerated by Deep Neural Networks.

Han Zhou, Yibo Liu, Wentian Jin, Sheldon X.-D. Tan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

PostPINN-EM: Fast Post-Voiding Electromigration Analysis Using Two-Stage Physics-Informed Neural Networks.

Subed Lamichhane, Wentian Jin, Liang Chen, Mohammadamir Kavousi, Sheldon X.-D. Tan

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks.

Liang Chen, Jincong Lu, Wentian Jin, Sheldon X.-D. Tan

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Learning Based Spatial Power Characterization and Full-Chip Power Estimation for Commercial TPUs.

Jincong Lu, Jinwei Zhang, Wentian Jin, Sachin Sachdeva, Sheldon X.-D. Tan

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

HierPINN-EM: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnects Using Hierarchical Physics-Informed Neural Network.

Wentian Jin, Liang Chen, Subed Lamichhane, Mohammadamir Kavousi, Sheldon X.-D. Tan

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Fast Thermal Analysis for Chiplet Design based on Graph Convolution Networks.

Liang Chen, Wentian Jin, Sheldon X.-D. Tan

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

Special Session: Machine Learning for Semiconductor Test and Reliability.

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

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Fast Electrostatic Analysis For VLSI Aging based on Generative Learning.

Subed Lamichhane, Shaoyi Peng, Wentian Jin, Sheldon X.-D. Tan

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

Data-Driven Electrostatics Analysis based on Physics-Constrained Deep learning.

Wentian Jin, Shaoyi Peng, Sheldon X.-D. Tan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks.

Wentian Jin, Liang Chen, Sheriff Sadiqbatcha, Shaoyi Peng, Sheldon X.-D. Tan

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks.

Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan

CoRR, 2020

Data-Driven Fast Electrostatics and TDDB Aging Analysis.

Shaoyi Peng, Wentian Jin, Liang Chen, Sheldon X.-D. Tan

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

EM-GAN: Data-Driven Fast Stress Analysis for Multi-Segment Interconnects.

Wentian Jin, Sheriff Sadiqbatcha, Zeyu Sun, Han Zhou, Sheldon X.-D. Tan

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

GridNet: Fast Data-Driven EM-Induced IR Drop Prediction and Localized Fixing for On-Chip Power Grid Networks.

Han Zhou, Wentian Jin, Sheldon X.-D. Tan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Full-Chip Thermal Map Estimation for Commercial Multi-Core CPUs with Generative Adversarial Learning.

Wentian Jin, Sheriff Sadiqbatcha, Jinwei Zhang, Sheldon X.-D. Tan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Accurate Power Density Map Estimation for Commercial Multi-Core Microprocessors.

Jinwei Zhang, Sheriff Sadiqbatcha, Wentian Jin, Sheldon X.-D. Tan

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem.

Chase Cook, Wentian Jin, Sheldon X.-D. Tan

CoRR, 2019