Hanbin Hu - RankMe

20 papers A* 5A 4C 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Contrastive Learning with Consistent Representations. Trans. Mach. Learn. Res. Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li
2023	J	`jnl`	Contrastive Learning with Consistent Representations. CoRR Zihu Wang, Yu Wang, Hanbin Hu, Peng Li
2023	A	`conf`	Recognizing Wafer Map Patterns Using Semi-Supervised Contrastive Learning with Optimized Latent Representation Learning and Data Augmentation. ITC Zihu Wang, Hanbin Hu, Chen He, Peng Li
2022	—	`conf`	Identifying Covid-19 Chest X-Rays by Image-Based Deep Learning. ICMLT Austin J. He, Hanbin Hu
2021	J	`jnl`	BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning. CoRR Bicheng Ying, Kun Yuan, Hanbin Hu, Yiming Chen, Wotao Yin
2021	A*	`conf`	Exponential Graph is Provably Efficient for Decentralized Deep Training. NeurIPS Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
2021	J	`jnl`	Exponential Graph is Provably Efficient for Decentralized Deep Training. CoRR Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
2021	—	`—`	Machine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test Hanbin Hu
2021	A*	`conf`	Prioritized Reinforcement Learning for Analog Circuit Optimization With Design Knowledge. DAC Karthik Somayaji N. S., Hanbin Hu, Peng Li
2021	A*	`conf`	Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits. DAC Myung Seok Shim, Hanbin Hu, Peng Li
2021	A	`conf`	Semi-supervised Wafer Map Pattern Recognition using Domain-Specific Data Augmentation and Contrastive Learning. ITC Hanbin Hu, Chen He, Peng Li
2020	A	`conf`	Advanced Outlier Detection Using Unsupervised Learning for Screening Potential Customer Returns. ITC Hanbin Hu, Nguyen Nguyen, Chen He, Peng Li
2020	J	`jnl`	Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review. IEEE Access Peng Jing, Hanbin Hu, Fengping Zhan, Yuexia Chen, Yuji Shi
2019	A*	`conf`	Enabling High-Dimensional Bayesian Optimization for Efficient Failure Detection of Analog and Mixed-Signal Circuits. DAC Hanbin Hu, Peng Li, Jianhua Z. Huang
2019	J	`jnl`	Global Adversarial Attacks for Assessing Deep Learning Robustness. CoRR Hanbin Hu, Mit Shah, Jianhua Z. Huang, Peng Li
2018	A*	`conf`	HFMV: hybridizing formal methods and machine learning for verification of analog and mixed-signal circuits. DAC Hanbin Hu, Qingran Zheng, Ya Wang, Peng Li
2018	A	`conf`	Parallelizable Bayesian optimization for analog and mixed-signal rare failure detection with high coverage. ICCAD Hanbin Hu, Peng Li, Jianhua Z. Huang
2017	J	`jnl`	Topological Approach to Automatic Symbolic Macromodel Generation for Analog Integrated Circuits. ACM Trans. Design Autom. Electr. Syst. Guoyong Shi, Hanbin Hu, Shuwen Deng
2015	C	`conf`	Topological symbolic simplification for analog design. ISCAS Hanbin Hu, Guoyong Shi, Andy Tai, Frank Lee
2013	—	`conf`	Incremental symbolic construction for topological modeling of analog circuits. ASICON Hanbin Hu, Guoyong Shi, Yan Zhu