Hanbin Hu

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 16

Top Topics

Unsupervised Learning

Failure Detection

Top Venues

Publications

Zihu Wang, Yu Wang, Hanbin Hu, Peng Li
Contrastive Learning with Consistent Representations. CoRR (2023)
Zihu Wang, Hanbin Hu, Chen He, Peng Li
Recognizing Wafer Map Patterns Using Semi-Supervised Contrastive Learning with Optimized Latent Representation Learning and Data Augmentation. ITC (2023)
Austin J. He, Hanbin Hu
Identifying Covid-19 Chest X-Rays by Image-Based Deep Learning. ICMLT (2022)
Hanbin Hu, Chen He, Peng Li
Semi-supervised Wafer Map Pattern Recognition using Domain-Specific Data Augmentation and Contrastive Learning. ITC (2021)
Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR (2021)
Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS (2021)
N. S. Karthik Somayaji, Hanbin Hu, Peng Li
Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge. DAC (2021)
Myung Seok Shim, Hanbin Hu, Peng Li
Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits. DAC (2021)
Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR (2021)
Peng Jing, Hanbin Hu, Fengping Zhan, Yuexia Chen, Yuji Shi
Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review. IEEE Access 8 (2020)
Hanbin Hu, Nguyen Nguyen, Chen He, Peng Li
Advanced Outlier Detection Using Unsupervised Learning for Screening Potential Customer Returns. ITC (2020)
Hanbin Hu, Mit Shah, Jianhua Z. Huang, Peng Li
Global Adversarial Attacks for Assessing Deep Learning Robustness. CoRR (2019)
Hanbin Hu, Peng Li, Jianhua Z. Huang
Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits. DAC (2019)
Hanbin Hu, Peng Li, Jianhua Z. Huang
Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage. ICCAD (2018)
Hanbin Hu, Qingran Zheng, Ya Wang, Peng Li
HFMV: hybridizing formal methods and machine learning for verification of analog and mixed-signal circuits. DAC (2018)
Guoyong Shi, Hanbin Hu, Shuwen Deng
Topological Approach to Automatic Symbolic Macromodel Generation for Analog Integrated Circuits. ACM Trans. Design Autom. Electr. Syst. 22 (3) (2017)
Hanbin Hu, Guoyong Shi, Andy Tai, Frank Lee
Topological symbolic simplification for analog design. ISCAS (2015)
Hanbin Hu, Guoyong Shi, Yan Zhu
Incremental symbolic construction for topological modeling of analog circuits. ASICON (2013)