I am an MPhil student in Electronic and Computer Engineering at the Hong Kong University of Science and Technology, advised by Prof. Ling Shi. Before HKUST, I studied Computer Science at the Chinese University of Hong Kong.
My current interests include LLM agents, reinforcement learning, and applications in clinical decision support and robotic systems.
News
- 2025: Our work PierGuard appeared in IEEE Transactions on Automation Science and Engineering.
- 2025: Champion, International Competition on AI in Education.
- 2024: Workshop Best Poster Award at the Workshop on Robot Safety in Times of AI, IEEE IROS.
- 2024: Oral presentation at IEEE EMBC for work on graph representations, LLMs, and eye-tracking biomarkers.
Publications
PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers
Pengyu Wang, Hin Wang Lin, Jialu Li, Jiankun Wang, Ling Shi, Max Q.-H. Meng
IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 15941-15952, 2025.
Reinforcement Learning-based Optimal Stealthy Actuator Attack on Autonomous Vehicles
Pengyu Wang†, Jialu Li†, Ling Shi
IEEE/RSJ International Conference on Intelligent Robots and Systems Workshop, Abu Dhabi, UAE, 2024. Workshop Best Poster Award.
Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
Yuhong Zhang†, Jialu Li†, Shilai Yang, Yuchen Xu, Gert Cauwenberghs, Tzyy-Ping Jung
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Copenhagen, Denmark, 2024. Oral Presentation.
Adaptive Layout Decomposition with Graph Embedding Neural Networks
Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu
57th ACM/IEEE Design Automation Conference, pp. 1-6, IEEE, 2020.
Projects
ToolBudgetBench
Large-scale tool-library selection benchmark for studying how agents balance context cost and task success.
- Focus: tool retrieval, context budgeting, agent evaluation, and practical tool-use constraints.
Education
- 2023 - 2025, The Hong Kong University of Science and Technology, Hong Kong. MPhil in Electronic and Computer Engineering. Supervisor: Prof. Ling Shi. GPA: 4.05/4.3, Top 1%.
- 2017 - 2023, The Chinese University of Hong Kong, Hong Kong. B.Sc. in Computer Science; B.B.A. in Integrated Business Administration; Minor in Biochemistry. Dean’s List and Head’s List.
Honors
- 2025 Champion, International Competition on AI in Education.
- 2024 Gold Prize, China International College Students Innovation Competition.
- 2024 Workshop Best Poster Award, Workshop on Robot Safety in Times of AI, IEEE IROS.
- 2024 First Prize, The 10th Hong Kong University Student Innovation and Entrepreneurship Competition.
- 2024 Research Travel Grant, HKUST / University Grants Committee.
- 2023 - 2025 HKUST Postgraduate Scholarship, full studentship.
- 2023 Champion, MIT Entrepreneurship & FinTech Integrator.
- 2022 Philip Shen Scholarship, CUHK.
- 2022 Best Cross-Border Fintech Solution Prize, Fintech Olympiad.
- 2020 - 2022 Kunkle & Pommerenke Scholarship, Chung Chi College, CUHK.
- 2017 - 2021 CUHK Admission Scholarship.
Experience
- 2025.09 - Present, Hong Kong University of Science and Technology (HKUST), Research Assistant with Prof. Nancy Y. Ip, building multi-agent, RAG-based clinical decision-support workflows for medical-record evidence extraction, retrieval, diagnostic reasoning, and ICD-10 coding.
- 2022.05 - 2022.12, Uranus Quantitative Investment Research Lab, Data Engineer Intern and Team Lead, Clearing & Settlement Department.
Skills
- ML and AI: LLMs, PyTorch, TensorFlow, scikit-learn, federated learning.
- Data science: Pandas, NumPy, SciPy, Matplotlib, Seaborn.
- Reinforcement learning: algorithms, Sim2Real transfer, environment customization, OpenAI Gym.
- Robotics: ROS, robotic systems, and learning-based control.
- Programming: Python, R, SQL, MATLAB, C, Java, JavaScript.