I am a year-3 Master student from the Department of Computer Science and Technology, Beijing Institute of Technology (BIT, 北京理工大学计算机学院), under the supervision of Prof. Chi Harold Liu. I received my Bachelor’s degree in Software Engineering from BIT (2017-2021)
My research interest includes mobile crowdsensing and unmanned vehicles, with the consideration of 5G communication modeling and reinforcement learning techniques. I have published 5 papers at the top international conferences (e.g., KDD, INFOCOM) and journals (e.g., ToN, TC, JSAC).
Contact: I’m always glad to discuss or collaborate! If interested, feel free to email me at wanghao@bit.edu.cn.
🔥 News
- 2023.12: Our paper “HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning” is accepted by IEEE Transactions on Computers, 2023.
- 2023.09: Our paper “QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning” is accepted by IEEE Journal on Selected Areas in Communications, 2023.
📝 Publications
🙋♂️ Mobile Crowdsensing
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QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning, Yuxiao Ye, Hao Wang (Equal Contribution), Chi Harold Liu, Zipeng Dai, Guozheng Li, Guoren Wang, Jian Tang, IEEE Journal on Selected Areas in Communications (JSAC), 2023.
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Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer, Hao Wang, Chi Harold Liu, Haoming Yang, Guoren Wang, Kin K Leung,IEEE Transactions on Networking (ToN), 2023.
- Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning, Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang, ACM SIGKDD 2021 (best paper award runner up).
- Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach, Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang, IEEE INFOCOM 2021 (Oral).
🚖 Recommender System
- HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning, Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Qianlong Xie, Xingxing Wang, Dong Wang, IEEE Transactions on Computers, 2023. (accepted)
🎖 Honors and Awards
- 2022.10 National Scholarship (Top 1%)
- 2022.09 CCF Elite Collegiate Award (Annual Top 100 College Students in China)
- 2021.08 Best Paper Award, Applied Data Science Runner Up of KDD 2021 (1/238)
- 2021.06 Xu Teli Scholarshi (most prestigious scholarship for all final year undergrads at BIT, annual awarded 10/3400+)
- 2021.06 Outstanding Thesis Award (Undergraduate) in Beijing (only 2 person/college)
- 2021.06 Outstanding Undergraduate Student, Beijing Institute of Technology
📖 Educations
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2021.09 - Now, Master, Beijing Institute of Techonolgy, Beijing.
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2017.09 - 2021.06, Undergraduate, Beijing Institute of Techonolgy, Beijing.
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2014.09 - 2017.06, Tsinghua University High School, Beijing.
💻 Internships
- 2023.04 - Now, Tencent AI Lab, Shenzhen. (Mentor: Haobo Fu)
- 2022.11 - 2023.04, Meituan Advertising Group, Beijing. (Mentor: Bo Tang)
Design and source code inspired from Yi Ren’s awesome template.