Hanbin Hu

According to our database, Hanbin Hu authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Contrastive Learning with Consistent Representations.

Zihu Wang, Yu Wang, Hanbin Hu, Peng Li

CoRR, 2023

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

Proceedings of the IEEE International Test Conference, 2023

2022

Identifying Covid-19 Chest X-Rays by Image-Based Deep Learning.

Austin J. He, Hanbin Hu

Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

2021

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning.

Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin

CoRR, 2021

Exponential Graph is Provably Efficient for Decentralized Deep Training.

Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semi-supervised Wafer Map Pattern Recognition using Domain-Specific Data Augmentation and Contrastive Learning.

Hanbin Hu, Chen He, Peng Li

Proceedings of the IEEE International Test Conference, 2021

Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge.

Karthik Somayaji N. S., Hanbin Hu, Peng Li

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

Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits.

Myung Seok Shim, Hanbin Hu, Peng Li

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

2020

Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review.

Peng Jing, Hanbin Hu, Fengping Zhan, Yuexia Chen, Yuji Shi

IEEE Access, 2020

Advanced Outlier Detection Using Unsupervised Learning for Screening Potential Customer Returns.

Hanbin Hu, Nguyen Nguyen, Chen He, Peng Li

Proceedings of the IEEE International Test Conference, 2020

2019

Global Adversarial Attacks for Assessing Deep Learning Robustness.

Hanbin Hu, Mit Shah, Jianhua Z. Huang, Peng Li

CoRR, 2019

Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits.

Hanbin Hu, Peng Li, Jianhua Z. Huang

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage.

Hanbin Hu, Peng Li, Jianhua Z. Huang

Proceedings of the International Conference on Computer-Aided Design, 2018

HFMV: hybridizing formal methods and machine learning for verification of analog and mixed-signal circuits.

Hanbin Hu, Qingran Zheng, Ya Wang, Peng Li

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Topological Approach to Automatic Symbolic Macromodel Generation for Analog Integrated Circuits.

Guoyong Shi, Hanbin Hu, Shuwen Deng

ACM Trans. Design Autom. Electr. Syst., 2017

2015

Topological symbolic simplification for analog design.

Hanbin Hu, Guoyong Shi, Andy Tai, Frank Lee

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2013

Incremental symbolic construction for topological modeling of analog circuits.

Hanbin Hu, Guoyong Shi, Yan Zhu

Proceedings of the IEEE 10th International Conference on ASIC, 2013