I am currently a fifth-year Ph.D. candidate supervised by Prof. Wan Du and Prof. Alberto Cerpa in the Department of Computer Science and Engineering at the University of California, Merced (UCM). Before moving to Merced in 2018, I received my master’s degree from Shandong University and bachelor’s degree from Taishan University.

Research Interests

My research interests mainly lie in Applied Machine Learning/Deep Learning, Deep Reinforcement Learning (DRL), Edge Computing, Wireless Networking and Internet of Things.

Publications (Google Scholar)

• Hamid Rajabi, Zhizhang Hu, Xianzhong Ding, Shijia Pan, Wan Du, Alberto Cerpa. MODES: Multi-sensor Occupancy Data-driven Estimation System for Smart Buildings The Thirteenth ACM International Conference on Future Energy Systems (ACM e-Energy), 2022.

• Xianzhong Ding, Wan Du, and Alberto E. Cerpa. DRLIC: Deep Reinforcement Learning for Irrigation Control The International Conference on Information Processing in Sensor Networks (IPSN), 2022.

• Xianzhong Ding, Wan Du, and Alberto E. Cerpa. Smart Irrigation Control Using Deep Reinforcement Learning The International Conference on Information Processing in Sensor Networks (IPSN), 2022.

• Devanshu Kumar, Xianzhong Ding, Wan Du, and Alberto E. Cerpa. Building Sensor Fault Detection and Diagnostic System Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), 2021.

• Xianzhong Ding, Wan Du, and Alberto E. Cerpa. MB2C: Model-Based Deep Reinforcement Learning for Multi-zone Building Control Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), 2020. Best Paper Runner-Up Award and Best Presentation Award.

• Miaomiao, Liu, Xianzhong Ding, and Wan Du. Continuous, Real-Time Object Detection on Mobile Devices without Offloading IEEE 40th International Conference on Distributed Computing Systems (ICDCS), 2020.

• Xianzhong Ding, Wan Du, and Alberto Cerpa. Octopus: Deep reinforcement learning for holistic smart building control Proceedings of the 6th ACM international conference on systems for energy-efficient buildings, cities, and transportation (BuildSys), 2019.

• Xianzhong Ding, Zhiyong Zhang, Zhiping Jia, Lei Ju, Mengying Zhao, and Huawei Huang. Unified nvTCAM and sTCAM architecture for improving packet matching performance ACM SIGPLAN / SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2017.

• Xianzhong Ding, Zhiyong Zhang, Zhiping Jia, Lei Ju, Mengying Zhao, and Huawei Huang. Unified nvTCAM and sTCAM architecture for improving packet matching performance Work in Progress. Design Automation Conference (DAC), 2017.

• Hang Yu, Zhiping Jia, Lei Ju, Chunguang Liu, Xianzhong Ding. Energy efficient routing algorithm using software defining network for wsns via unequal clustering International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE), 2016.

Work Experience

• Research Intern, ByteDance Infrastructure System Lab, Mountain View, United States
  • May - Nov 2022
  • Supervisor: Tieying Zhang
• Research Assistant, Electrical Engineering and Computer Science, UC Merced
  • August 2018 - present
  • Supervisor: Prof. Wan Du and Alberto Cerpa
• Research Assistant, Computer Science, Shandong Uinversity, China
  • August 2015 - May 2018
  • Supervisor: Prof. Zhiping Jia

Honors and Awards

• Bobcat Summer Fellowship, EECS, UC Merced, 2021.
• Best Paper Runner-Up Award at BuildSys 2020, 2020.
• Best Presentation Award at BuildSys 2020, 2020.
• Bobcat Summer Fellowship, EECS, UC Merced, 2020.
• ACM SenSys 2019 NSF student travel grant, 2019.
• Bobcat Summer Fellowship, EECS, UC Merced, 2019.
• First level scholarship of Shandong University, 2017 - 2018.
• Third level scholarship for comprehensive performance, Shandong University, 2016 - 2017.
• Scholarship for outstanding academic performance, Shandong University, 2015 - 2016.