Incremental symbolic construction for topological modeling of analog circuits. - Hanbin Hu; Guoyong Shi; Yan Zhu (ASICON, 2013)

Topological symbolic simplification for analog design. - Hanbin Hu; Guoyong Shi; Andy Tai; Frank Lee 003 (ISCAS, 2015)

Topological Approach to Automatic Symbolic Macromodel Generation for Analog Integrated Circuits. - Guoyong Shi; Hanbin Hu; Shuwen Deng (ACM Trans. Design Autom. Electr. Syst., 2017)

HFMV: hybridizing formal methods and machine learning for verification of analog and mixed-signal circuits. - Hanbin Hu; Qingran Zheng; Ya Wang; Peng Li 001 (DAC, 2018)

Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage. - Hanbin Hu; Peng Li 001; Jianhua Z. Huang (ICCAD, 2018)

Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits. - Hanbin Hu; Peng Li 001; Jianhua Z. Huang (DAC, 2019)

Global Adversarial Attacks for Assessing Deep Learning Robustness. - Hanbin Hu; Mit Shah; Jianhua Z. Huang; Peng Li 001 (CoRR, 2019)

Advanced Outlier Detection Using Unsupervised Learning for Screening Potential Customer Returns. - Hanbin Hu; Nguyen Nguyen; Chen He; Peng Li 001 (ITC, 2020)

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review. - Peng Jing; Hanbin Hu; Fengping Zhan; Yuexia Chen; Yuji Shi (IEEE Access, 2020)

Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits. - Myung Seok Shim; Hanbin Hu; Peng Li 001 (DAC, 2021)

Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge. - Karthik Somayaji N. S.; Hanbin Hu; Peng Li 001 (DAC, 2021)

Semi-supervised Wafer Map Pattern Recognition using Domain-Specific Data Augmentation and Contrastive Learning. - Hanbin Hu; Chen He; Peng Li 001 (ITC, 2021)

Exponential Graph is Provably Efficient for Decentralized Deep Training. - Bicheng Ying; Kun Yuan 001; Yiming Chen 003; Hanbin Hu; Pan Pan; Wotao Yin (NeurIPS, 2021)

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. - Bicheng Ying; Kun Yuan 001; Hanbin Hu; Yiming Chen 003; Wotao Yin (CoRR, 2021)

Machine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test - Hanbin Hu (2021)

Identifying Covid-19 Chest X-Rays by Image-Based Deep Learning. - Austin J. He; Hanbin Hu (ICMLT, 2022)

Recognizing Wafer Map Patterns Using Semi-Supervised Contrastive Learning with Optimized Latent Representation Learning and Data Augmentation. - Zihu Wang; Hanbin Hu; Chen He; Peng Li 001 (ITC, 2023)

Contrastive Learning with Consistent Representations. - Zihu Wang; Yu Wang 167; Hanbin Hu; Peng Li 001 (CoRR, 2023)

Contrastive Learning with Consistent Representations. - Zihu Wang; Yu Wang 167; Zhuotong Chen; Hanbin Hu; Peng Li 001 (Trans. Mach. Learn. Res., 2024)