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Zhihai Wang

PhD Student


zhihaiwang@miralab.ai

Interests

  • Learning to Optimize
  • Machine Learning for Electronic Design Automation
  • Reinforcement Learning

Education

  • B.S., Electrical Engineering and Automation, 2020

    Huazhong University of Science and Technology

About me

I am currently a master student in USTC. My advisor is Prof. Jie Wang, who leads the MIRA Lab. My research interests include learning to optimize, machine learning for electronic design automation, and reinforcement learning.

Awards

  • National Scholarship 2017, 2024

Experience

  • Intern at Noah’s Ark Lab, Huawei Technologies, 2022/06 -

Publications

Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu. A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. ICML 2024.

Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu. A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. ICML 2024.

Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu. Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. TPAMI.

Haotian Ling, Zhihai Wang, Jie Wang. Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming. AAAI 2024.

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Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu. Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR 2023.

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Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang. Efficient Exploration in Resource-Restricted Reinforcement Learning. AAAI 2023.

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Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li. Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. AAAI 2022.

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