Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors
Wei W. Xing, Kaiqi Huang, Jiazhan Liu, Hong Qiu, Shan Shen
DAC, 2026
Publications
Published Papers
Published at DAC, ICCAD, EST and other top venues
AI for EDA
Exploiting Function-Family Structure in Analog Circuit Optimization
Zhuohua Liu, Kaiqi Huang, Qinxin Mei, Yuanqi Hu, Wei W. Xing
DAC, 2026
OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
Yiqi Zhou, Yue Yuan, Yikai Wang, Bohao Liu, Qinxin Mei, Zhuohua Liu, Shan Shen, Wei Xing, Daying Sun, Li Li, Guozhu Liu
DAC, 2026
Portable Expertise for Analog Sizing: A Data-Agnostic Foundation Model Approach
Zhuohua Liu†, Kaiqi Huang†, Qinxin Mei, Yuanqi Hu, Wei W. Xing
ISEDA, 2026
ASTRA: Automatic Sizing of Transistors with Reasoning Agents
Wei W. Xing, Baowen Ou, Yuxuan Zhang, Zhuohua Liu, Yuanqi Hu
ICCAD, 2025
DIVE: Dynamic Information-Guided Variable Expansion for Deeper Analog Circuit Optimization
Zhuohua Liu, Weilun Xie, Yuxuan Zhang, Chen Wang, Yuanqi Hu, Wei W. Xing
ICCAD, 2025
OpenYield: An Open-Source SRAM Yield Analysis and Optimization Benchmark Suite
Shan Shen, Xingyang Li, Zhuohua Liu, Junhao Ma, Yikai Wang, Yiheng Wu, Yuquan Sun, Wei W. Xing
ICCD, 2025
Design Space Folding: A "Free-lunch" Add-on for Efficient Design Convergence in Transistor Sizing
Zhuohua Liu, Yuxuan Zhang, Weilun Xie, Yuanqi Hu, Wei W. Xing
ISEDA, 2025
Every Failure Is a Lesson: Utilizing All Failure Samples to Deliver Tuning-Free Efficient Yield Evaluation
Wei Xing, Yanfang Liu, Weijian Fan, Lei He
DAC, 2024
Kato: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology
Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu
DAC, 2024
Aro: Autoregressive Operator Learning for Transferable and Multi-fidelity 3D-IC Thermal Analysis with Active Learning
Mingyue Wang, Yuanqing Cheng, Weiheng Zeng, Zhenjie Lu, Vasilis F. Pavlidis, Wei Xing
ICCAD, 2024
High-dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction
Shuo Yin, Guohao Dai, Wei W. Xing
ASP-DAC, 2023
Seeking the Yield Barrier: High-dimensional SRAM Evaluation Through Optimal Manifold
Yanfang Liu, Guohao Dai, Wei W. Xing
DAC, 2023
OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits
Yanfang Liu, Guohao Dai, Yuanqing Cheng, Wang Kang, Wei W. Xing
ICCAD, 2023
Multi-fidelity Design Optimization of Solid Oxide Fuel Cells Using a Bayesian Feature Enhanced Stochastic Collocation
Wei W. Xing, Akeel A. Shah, Guohao Dai, Ziyang Zhang, Ting Guo, Hong Qiu, Puiki Leung, Qian Xu, Xun Zhu, Qiang Liao
IJHE, 2023
AI for LCA
SemaNet: Bridging Words and Numbers for Predicting Missing Environmental Data in Life Cycle Assessment
Bin Chen, Hong Chen, Zhishan Quan, Wei He, Visakan Kadirkamanathan, Jose L. Casamayor, Wei W. Xing
Environmental Science & Technology, 2025
Adaptive LCI Data Completion: Integrating Neural Processes and Active Learning for Enhanced Life Cycle Assessment
Wei W. Xing, Hong Chen, Zidong Chen, Zhishan Quan, Bertrand Laratte, Mark Walsh, Jing Pu, Jose L. Casamayor
Procedia CIRP, 2025
Papers listed above were completed with JCIE member participation from baselines to experiments to drafts. Contact relevant leads for updates.