
Honggang Zhang
Area of Expertise
Edge computing, deep reinforcement learning, mobile computing, Internet of things, computer networking
Degrees
PhD, Computer Science, University of Massachusetts Amherst
Professional Publications & Contributions
- “A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing”, Zhi Cao, Honggang Zhang, Yu Cao, and Benyuan Liu, in the 15th IEEE International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019), December 11-13, 2019, Hong Kong, China.
- Hengky Susanto, Ahmed Sayed, Honggang Zhang, Benyuan Liu and Don Towsley, in the 39th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2019). Dallas, TX, July 7-10, 2019.
- “QoE-driven computation of铿俹ading for Edge Computing”, Jie Luo, Xiaoheng Deng, Honggang Zhang, Huamei Qi. Journal of Systems Architecture (JSA), Vol 97, pages 34-39, published by Elsevier, 2019.
- “Design and Evaluation of a Prediction-based Dynamic Edge Computing System”, Enlu Liu, Xiaoheng Deng, Zhi Cao, Honggang Zhang (2018). IEEE Global Communications Conference (Globecom) 2018. December 9-13, 2018. Abu Dhabi, UAE.
- “A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System”, Zhi Cao, Honggang Zhang, Benyuan Liu, Bo Sheng (2018). The 37th IEEE International Performance Computing and Communications Conference (IPCCC 2018). November 17-19th, 2018, Orlando, FL, USA.