Wan Du

Associate Professor
Department of Computer Science and Engineering
School of Engineering
The University of California, Merced
Address: #208, SE2, 5200 N. Lake Road, Merced, CA 95343
Email: wdu3 AT ucmerced.edu

• I serve as a TPC co-chair for ACM BuildSys 2025, which will be held November 20-21, 2025, Golden, Colorado, USA. Please consider submitting your papers. 
  • Abstract Registration: July 18th, 2025, 23:59 AOE
  • Paper Submission: July 25th, 2025, 23:59 AOE

1. Gang Yan and Wan Du, "FedDiAL: Adaptive Federated Learning with Hierarchical Discriminative Network for Large Pre-trained Models", ACM KDD, 2025.
2. Zhiyu An, Zhibo Hou, and Wan Du, "Disentangling Uncertainties by Learning Compressed Data Representation", the 7th Annual Learning for Dynamics & Control Conference (L4DC), 2025.
3. Xianzhong Ding, Yunkai Zhang, Binbin Chen, Donghao Ying, Tieying Zhang, Jianjun Chen, Lei Zhang, Alberto Cerpa, and Wan Du, “Towards VM Rescheduling Optimization Through Deep Reinforcement Learning”, EuroSys, 2025.
4. Xianzhong Ding, Wanshi Hong, Zhiyu An, Bin Wang, and Wan Du, "Deepot: Parking Lot Identification Using Low-Resolution Satellite Imagery", the 58th Hawaii International Conference on System Sciences (HICSS), 2025. Best Paper Award
5. Baicheng Chen, John Nolan, Xinyu Zhang, and Wan Du, "MetaSoil: Passive mmWave Metamaterial Multi-layer Soil Moisture", ACM SenSys, 2024.
6. Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled M. Bali, and Wan Du. "MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge", ACM KDD, 2024.
7. Kang Yang, Yuning Chen, and Wan Du. "OrchLoc: In-Orchard Localization with a Single LoRa Gateway and Generative Model-based Efficient Fingerprinting", ACM MobiSys, 2024.
8. Zhiyu An, Xianzhong Ding, and Wan Du, "Go Beyond Black-Box Policies: Rethinking the Design of Learning Agent for Interpretable, Verifiable HVAC Control", the Design Automation Conference (DAC), 2024. code
9. Zhiyu An, Xianzhong Ding, and Wan Du, "Reward Bound for Behavioral Guarantee of Model-based Planning Agents", the International Conference on Learning Representations (ICLR), 2024.
10. Miaomiao Liu, Sikai Yang, Arya Rathee, and Wan Du, “Orientation Estimation of Mobile Devices Piloted by Deep Reinforcement Learning", ACM/IEEE IoTDI, 2024. (Best Paper Award)
11. Yifei Xu*, Yuning Chen*, Xumiao Zhang*, Xianshang Lin, Pan Hu, Yunfei Ma, Songwu Lu, Wan Du, Zhuoqing Mao, Ennan Zhai, Dennis Cai, “CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation”, the 7th Annual Conference on Machine Learning and Systems (MLSys), 2024. (The first three student authors have equal contribution.) code
12. Kang Yang, Miaomiao Liu, and Wan Du. "RALoRa: Rateless-Enabled Link Adaptation for LoRa Networks", ACM/IEEE Transactions on Networking (ToN), 2024.
13. Zhiyu An, Xianzhong Ding, Arya Rathee, and Wan Du, "CLUE: Safe Model-Based Reinforcement Learning for HVAC Control Using Epistemic Uncertainty Estimation", ACM BuildSys, 2023. (Best Paper Runner-up Award)
14. Kang Yang, Yuning Chen, Tingruixiang Su, and Wan Du, "Link Quality Modeling for LoRa Networks in Orchards", ACM/IEEE IPSN, 2023.  
15. Kang Yang and Wan Du, "LLDPC: A Low-Density Parity-Check Coding Scheme for LoRa Networks", ACM SenSys, 2022.
16. Miaomiao Liu, Sikai Yang, Wyssanie Chomsin, and Wan Du, "Real-Time Tracking of Smartwatch Orientation and Location by Multitask Learning", ACM SenSys, 2022.
17. Miaomiao Liu, Kang Yang, Yanjie Fu, Dapeng Wu, and Wan Du, “Driving Maneuver Anomaly Detection based on Deep Auto-Encoder and Geographical Partitioning”, ACM Transactions on Sensor Networks (TOSN), 2022.
18. Xianzhong Ding and Wan Du, "DRLIC: Deep Reinforcement Learning for Irrigation Control", ACM/IEEE IPSN, 2022.
19. Xianzhong Ding, Wan Du, and Alberto Cerpa, “MB2C: Model-Based Deep Reinforcement Learning for Multi-zone Building Control”, ACM BuildSys, 2020. (Best Paper Runner-Up Award and Best Presentation Award). YouTube Video.
20. Miaomiao Liu, Xianzhong Ding, and Wan Du, “Continuous, Real-Time Object Detection on Mobile Devices without Offloading”, IEEE ICDCS, 2020. Acceptance rate: 105/584 = 18%. YouTube Video. 
21. Zhihao Shen, Wan Du, Xi Zhao, and Jianhua Zou. “DMM: Fast Map Matching for Cellular Data”, ACM MobiCom, 2020. code+data. YouTube Video. 
22. Xianzhong Ding, Wan Du, and Alberto Cerpa, “OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control”, ACM BuildSys, 2019. 
23. Weifeng Gao, Wan Du, Zhiwei Zhao, Geyong Min, and Mukesh Singhal, "Towards Energy-Fairness in LoRa Networks", IEEE ICDCS, 2019. code+data. 
24. Zhihao Shen, Kang Yang, Wan Du, Xi Zhao, and Jianhua Zou, “DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction”, ACM SenSys, 2019. code+data. YouTube video. (The first two student authors have an equal contribution.) 
25. Jothi Prasanna Shanmuga Sundara, Wan Du, and Zhiwei Zhao, “A Survey on LoRa Networking: Research Problems, Current Solutions, and Open Issues”, IEEE Communications Surveys & Tutorials, Vol. 22, Issue 1, Pages 371-388, October 2019. 
26. Wan Du, Jansen Christian Liando, Huanle Zhang, and Mo Li, "When Pipelines Meet Fountain: Fast Data Dissemination in Wireless Sensor Networks", in ACM SenSys, 2015. Best Paper Award. 

1. Zhiyu An (Postdoctoral Researcher, 05/2025~. B.S. from UC Berkeley)
2. Poonam Maurya (Postdoctoral Researcher, 05/2025~. Former postdoc at Aalborg University, Denmark. Ph.D. from IIT Bhilai)
3. Sikai Yang (Ph.D. student, 08/2021~, B.S. from University of Science and Technology of China)
4. Zhibo Hou (Ph.D. student, 01/2023~, M.S. from Purdue University)
5. Yuanlin Yang (Ph.D. student, 01/2023~, M.S. from City University of Hong Kong)
6. Fan Zhao (Ph.D. student, 01/2023~, M.S. from University of Florida

1. Zhiyu An (Ph.D. student, 01/2023-05/2025. B.S. from UC Berkeley)
2. Yuning Chen (Ph.D. student, 08/2021~05/2025. B.S. from Tsinghua University)
3. Wyssanie Chomsin (Master student, 08/22~05/2025. B.S. from UC Merced)
4. Gang Yan (Postdoc, 1/2024~12/2024. PhD from SUNY-Binghamton University.)
5. Kang Yang (Ph.D. student, 01/2020~12/2024. First job: Postdoc at UCLA. M.S. from Xi'an Jiaotong University)
6. Xianzhong Ding (Ph.D. student, 08/2018~12/2023. First job: Postdoc at Lawrence Berkeley National Laboratory. M.S. from Shandong University)
7. Miaomiao Liu (Ph.D. student, 08/2018~05/2023. First job: Visa Inc. M.S. from Northeastern University, China)
8. Weifeng Gao (visiting Ph.D. student, 09/2018~03/2020）
9. Haiqiao Wu (visiting Ph.D. student, 01/2019~02/2021)

• 2026: INFOCOM.
• 2025: INFOCOM, SenSys, MobiSys, USENIX ATC, BuildSys (co-chair).
• 2024: INFOCOM, SenSys, ICDCS, DCOSS-IoT, USENIX ATC.
• 2023: INFOCOM, SenSys, ICDCS, DCOSS-IoT, IPSN, MASS.
• 2022: INFOCOM, ICDCS, DCOSS, MASS, IoTDI, ICPADS, ICC, GLOBECOM.
• 2021: INFOCOM, MASS, GLOBECOM, ICC.
• 2020: INFOCOM, ICDCS, MASS, GLOBECOM.
• 2019: INFOCOM, MASS, ICCCN, EWSN, SMARTCOMP, ICESS, VTC-Fall, MSN.
• 2018: INFOCOM, ICDCS, ICCCN, ICPADS, SECON, GLOBECOM, MobiSyS Demo session.  
• 2017: ICDCS, ICPADS.

• TPC co-chair: ACM BuildSys 2025.
• Publication chair: ACM SenSys 2025.
• PhD Forum co-chair: ACM BuildSys 2024.
• Journal Fast Track chair: ACM BuildSys 2023.
• Poster/demo chair: ACM SenSys 2023. 
• Workshops chair: CPS-IoT Week 2023,
• Poster co-chair: ACM/IEEE IPSN 2022.
• Track co-chair: the Cloud & Edge Track of IEEE ICPADS 2022.
• Web chair: ACM BuildSys 2021

• UC Merced Academic Senate Distinguished Early Career Research Award 2023-2024
• NSF CAREER Award 2023.
• Distinguished Member of the IEEE INFOCOM Technical Program Committee, 2022, 2020, 2018.
• Best Demo Award, ACM SenSys 2025.
• Best Paper Award, ACM/IEEE IoTDI 2024.
• Best Paper Runner-up Award, ACM BuildSys 2023, 2020.
• Best Paper Award, ACM SenSys 2015.
• Best Demo Award, IEEE SECON 2014.