þ Doctoral supervisor
þ Master Supervisor
Current Professional Societies
Senior Members of IEEE, IEEE Communications Society, and IEEE Young Professionals; Vice Chair of Technical Affairs Committee in IEEE ComSoc Asia/Pacific Region
Research Areas
Future Networks, Intelligent Network Control, Cloud-Edge-Terminal Cooperation Computing
Honors
Beijing Nova of Science and Technology(2019), Outstanding talents of Beijing University of Technology(2019), Outstanding Workshop Award of IEEE ICFEICT(2022), Best Paper Award of IEEE ICFEICT(2022)
Publications
1. Chao Fang, F. Richard Yu*, Tao Huang, Jiang Liu, Yunjie Liu. A Survey of Green Information-Centric Networking: Research Issues and Challenges, IEEE Communications Surveys and Tutorials, 2015, 17(3): 1445-1472.（IF：35.6015）
2. Chao Fang, Haipeng Yao, Zhuwei Wang, Wenjun Wu, Xiaonin Jin, F. Richard Yu*. A Survey of Mobile Information-Centric Networking: Research Issues and Challenges, IEEE Communications Surveys and Tutorials, 2018, 20(3): 2353-2371.（IF：35.6015）
3. Chao Fang*, Song Guo, Zhuwei Wang, Huawei huang, Haipeng Yao, Yunjie Liu. Data-Driven Intelligent Future Network: Architecture, Use Cases, and Challenges, IEEE Communications Magazine, 2019, 57(7): 34-40.（IF：10.2098）
4. Chao Fang, Hang Xu, Yihui Yang, Zhaoming Hu*, ShanShan Tu, Kaoru Ota, Zheng Yang, Mianxiong Dong, Zhu Han, F. Richard Yu, Yunjie Liu. Deep Reinforcement Learning Based Resource Allocation for Content Distribution in Fog Radio Access Networks, IEEE Internet of Things Journal, 2022, 9(18): 16874-16883.（IF：10.6002）
5. Chao Fang, Zhaoming Hu, Xiangheng Meng, Shanshan Tu*, Zhuwei Wang, Deze Zeng, Wei Ni, Song Guo, Zhu Han. DRL-Driven Joint Task Offloading and Resource Allocation for Energy-Efficient Content Delivery in Cloud-Edge Cooperation Networks, IEEE Transactions on Vehicular Technology, 2023, 72(12): 16195-16207.（IF：6.7996）
6. Zhaoming Hu, Chao Fang*, Zhuwei Wang, Shu-Ming Tseng, Mianxiong Dong. Many-Objective Optimization Based-Content Popularity Prediction for Cache-Assisted Cloud-Edge-End Collaborative IoT Networks, IEEE Internet of Things Journal, 2023, 11(1): 1190-1200.（IF：10.6002）
7. Zhaoming Hu, Ruikang Zhong, Chao Fang*, Yuanwei Liu*. Caching-at-STARS: the Next Generation Edge Caching, IEEE Transactions on Wireless Communications, Early Access, 2024.（IF：10.4002）
8. Talha Mir, Muhammad Waqas, Shanshan Tu, Chao Fang*, Wei Ni, Richard Mackenzie, Xuan Xue, Zhu Han. Relay Hybrid Precoding in UAV-Assisted Wideband Millimeter-Wave Massive MIMO Systems, IEEE Transactions on Wireless Communications, 2022, 21(9): 7040-7054.（IF：10.4002）
9. Zhuwei Wang, Senfan Jin, Chao Fang*, Lihan Liu, Meng Li, Song Guo. Design of Intelligent Connected Cruise Control with Vehicle-to-Vehicle Communication Delays, IEEE Transactions on Vehicular Technology, 2022, 71(8): 9011-9025.（IF：6.7996）
10. Guangji Cheng, Qingqing Wu, Ruiqi Liu, Jingxian Wu, Chao Fang. IRS Aided MEC Systems with Binary Offloading: A Unified Framework for Dynamic IRS Beamforming, IEEE Journal on Selected Areas in Communications, 2023, 41(2): 349-365.（IF：14.6217）
Personal Statement
Dr. Fang joined the Beijing University of Technology in 2016 and now is an associate professor. From August 2013 to August 2014, he had been funded by China Scholarship Council to visit Carleton University, Ottawa, ON, Canada, as a joint doctorate. Moreover, he is the visiting scholar of University of Technology Sydney, Commonwealth Scientific and Industrial Research Organization, Hong Kong Polytechnic University, Kyoto University, Muroran Institute of Technology, and Queen Mary University of London.
Applicants are expected to have positive, optimistic, hard-working,andclear thinking learning qualities, with profound software programming abilities. In the process of completing the prescribed training tasks, Prof. Fang communicates with the students to develop training plans that meet their personal development needs, and provide international research cooperation opportunities for outstanding students.
