📝 Publications

🙋‍♂️ Mobile Crowdsensing

• Indoor Periodic Fingerprint Collections by Vehicular Crowdsensing via Primal-Dual Multi-Agent Deep Reinforcement Learning,Haoming Yang, Qiran Zhao, Hao Wang, Chi Harold Liu, Guozheng Li, Guoren Wang, Jian Tang, Dapeng Wu, IEEE Journal on Selected Areas in Communications (JSAC), 2024.

• 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), 2024.

• 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)