Dr. Haoyi Niu

Dr. Haoyi Niu

Assistant Professor / Associate Research Fellow at Wenzhou-Kean University

👨‍💻 About Me

I am an Assistant Professor / Associate Research Fellow at the International Frontier Interdisciplinary Research Institute (IFIRI), Wenzhou-Kean University (WKU). I received my Ph.D. degree in Electronic Information from Zhejiang University (ZJU) in 2023, and my B.Eng. degree from University of Electronic Science and Technology of China (UESTC) in 2018. I was also a visiting exchange student at National Ilan University (NIU) in 2016. Before joining WKU, I worked as a Senior Research Specialist at Zhejiang Lab from 2023 to 2026.

My research focuses on artificial intelligence and scheduling optimization, with particular interest in resource allocation for multi-agent systems and large language model (LLM) training and inference. I aim to develop efficient and scalable algorithms for complex, large-scale systems, bridging theoretical optimization with real-world intelligent computing applications.

🔥 News

  • 2026.07:  🎉 My student Jiayi Tian won Third Prize at the Tencent Cloud Game Development Hackathon (Wenzhou) with Old Fire Trace, an AI-assisted narrative mystery game that invites players to revisit a 1998 fire through archival evidence, field interviews, and timeline reconstruction. [Play the Game]

  • 2026.04:  Zhenfeng Zhang, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, visited the IFIRI at WKU. [News]

  • 2026.03:  🎉 Started my faculty position at the International Frontier Interdisciplinary Research Institute (IFIRI), Wenzhou-Kean University.

📝 Publications

  • Haoyi Niu, Feng Gao*, Beibei Zhang, Wenxiu Zhuang, Tian Xiang, Xiangming Xi. Prompt2Length: A Lightweight Model for Predicting Output Length in LLM Inference. IEEE International Conference on Artificial Intelligence, Automation and High Performance Computing (AIAHPC), 2025.

  • Haoyi Niu, Xiangming Xi, Tian Xiang, Beibei Zhang, Tao Zou, Feng Gao*. JDPMHF: A Novel Framework for Job Duration Prediction to Enhance Scheduling in GPU Clusters. CCF Computility, 2025. (Best Paper Award)

  • Haoyi Niu, Lu Lin, Xiangming Xi, Beibei Zhang, Tao Zou, Feng Gao*. Prediction on Model Inference Output Length in Ubiquitous Computing Environment. Acta Electronica Sinica, 2025. (Accepted)

  • Wenxiu Zhuang, Guangyu Wu, Haoyi Niu, Wei Song*. Event-Triggered Robust Cooperative Output Regulation with Hybrid Design Framework. IEEE International Conference on Industrial Electronics and Applications (ICIEA), 2024.

  • Haoyi Niu, Weimin Wu*, Zichao Xing, Xingkai Wang, Tao Zhang. A Novel Multi-Tasks Chain Scheduling Algorithm Based on Capacity Prediction for AGV Dispatching in Intelligent Manufacturing Systems. Journal of Manufacturing Systems, 2023.

  • Haoyi Niu, Weimin Wu*, Tingqi Zhang, Wei Shen, Tao Zhang. Adaptive salp swarm algorithm for solving FJSP with transportation time. Journal of Zhejiang University (Engineering Science), 2022.

  • Wei Shen, Weimin Wu*, Haoyi Niu. Multi-Objective Fuzzy Flexible Job Shop Scheduling Optimization Based on Hybrid Non-Dominated Sorting Algorithm. IEEE International Conference on Networking, Sensing and Control (ICNSC), 2022.

  • Haoyi Niu, Yuqi Huang*. Application of Phase-Averaged Pre-processing in Identifying Oscillatory Two-Phase Flow Patterns Based on Textural Features. Flow Measurement and Instrumentation, 2021.

  • Yuqi Huang, Dominique H. Li*, Haoyi Niu, Donatello Conte. Visual Identification of Oscillatory Two-Phase Flow with Complex Flow Patterns. Measurement, 2021.

  • Haoyi Niu, Zichao Xing, Xingkai Wang, Weimin Wu*, Tao Zhang. A Flexible Multi-AGV Scheduling Model with Pre-waiting Time in Intelligent Manufacturing Systems. IEEE International Conference on Networking, Sensing and Control (ICNSC), 2021.

  • Haoyi Niu, Weimin Wu*, Tao Zhang. A Hierarchical Charging Algorithm for AGV Dispatching in Multi-Robot Systems. IEEE International Conference on Networking, Sensing and Control (ICNSC), 2021.

  • Zichao Xing, Weimin Wu*, Haoyi Niu, Ruifen Hu. Battery Charge Dispatching in Multi-Robot Systems. IEEE International Conference on Networking, Sensing and Control (ICNSC), 2021.

  • Haoyi Niu, Xinyu Chen, Weimin Wu*, Tao Zhang. A Logistics Vehicle Scheduling Model Based on Multi-Stage Dynamic Decision Mechanism. Chinese Process Control Conference (CPCC), 2021.

🎖 Honors and Awards

  • 2022.11, Outstanding Graduate Academic Scholarship, Zhejiang University.
  • 2019.12, Outstanding Graduate Student Leader, Zhejiang University.
  • 2019.12, Outstanding Graduate Student, Zhejiang University.
  • 2018.12, Graduate Academic Scholarship, Zhejiang University.
  • 2018.05, Outstanding Undergraduate Thesis, School of Automation Engineering, University of Electronic Science and Technology of China.
  • 2017.12, National Scholarship for Undergraduate Students (Ministry of Education, China).
  • 2017.12, Outstanding Graduate, University of Electronic Science and Technology of China.
  • 2017.09, First Prize, Final of the 12th National Undergraduate Intelligent Vehicle Competition (Chinese Association of Automation).
  • 2017.06, First Prize, Western Regional Competition of the 12th National Undergraduate Intelligent Vehicle Competition (Chinese Association of Automation).
  • 2017.05, Second Prize, Sichuan Provincial Undergraduate Intelligent Vehicle Competition.
  • 2016.12, Special Scholarship (Top Award), University of Electronic Science and Technology of China.
  • 2016.12, Eagle Scholarship, School of Automation Engineering, University of Electronic Science and Technology of China.
  • 2016.05, Outstanding Youth League Leader, University of Electronic Science and Technology of China.
  • 2015.12, First-Class Scholarship, University of Electronic Science and Technology of China.
  • 2014.12, Second-Class Scholarship, University of Electronic Science and Technology of China.

📖 Educations

  • 2020.01 – 2023.06, Ph.D. in Electronic Information, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.
  • 2018.09 – 2020.01, M.S. in Power Machinery and Engineering, College of Energy Engineering, Zhejiang University, Hangzhou, China.
  • 2016.09 – 2017.01, Visiting Exchange Student, Department of Electrical Engineering, National Ilan University, Yilan, China.
  • 2014.09 – 2018.06, B.Eng. in Measurement and Control Technology and Instrumentation, School of Automation and Engineering, University of Electronic Science and Technology of China, Chengdu, China.

💬 Invited Talks

  • 2025.09, Presented the paper “Prompt2Length: A Lightweight Model for Predicting Output Length in LLM Inference” at the 5th International Conference on Artificial Intelligence, Automation and High Performance Computing (AIAHPC 2025), Hefei, China.
  • 2025.07, Presented the paper “JDPMHF: A Novel Framework for Job Duration Prediction to Enhance Scheduling in GPU Clusters” via poster at CCF COMPUTILITY 2025, Lanzhou, China.

👥 Services

I have served as a peer reviewer for several renowned international journals (Computers & Industrial Engineering, Soft Computing, Journal of Remanufacturing, Discover Applied Sciences) and conferences (IEEE INFOCOM, NeurIPS).