CV

Education

Ph.D. in Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou), 2024 - Present
- Information Hub, Thrust of Data Science and Analytics
- Advisor: Prof. Lei Chen (IEEE Fellow, ACM Fellow)
- Co-advisor: Prof. Yongqi Zhang
- Research Focus: Large Language Models, Data Mining, Deep Learning for Data Engineering
B.Eng. in Artificial Intelligence, Sun Yat-sen University, 2020 - 2024
- School of Artificial Intelligence
- GPA: 3.9/4.0, Rank: 7/71 (Top 10%)
- Thesis: Awarded University-level Excellent Thesis (Advisor: Prof. Libin Zheng)

Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems
Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu
40th IEEE International Conference on Data Engineering (ICDE 2026), CCF-A, Accepted
Designed ‘MaidLog’, an LLM-based framework achieving industry-leading zero-shot accuracy for log anomaly detection while efficiently running on resource-constrained edge devices.
Opponent-aware Order Pricing towards Hub-oriented Mobility Services
Zuohan Wu, Libin Zheng, Chen Jason Zhang, Huaijie Zhu, Jian Yin, Di Jiang
39th IEEE International Conference on Data Engineering (ICDE 2023), CCF-A
[DOI] [DBLP]
Proposed a novel opponent-aware pricing framework for emerging hub-oriented mobility services, significantly improving platform revenue and operational efficiency.

DRLPG: Reinforced Opponent-Aware Order Pricing for Hub Mobility Services
Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 37, no. 6, pp. 3298-3311, 2025, CCF-A
[DOI] [DBLP]
Developed a deep reinforcement learning model with a “multi-policy fusion mechanism” that enables more adaptive and profitable pricing strategies in dynamic competitive environments.

A Chinese Essay Review Method and Framework Based on Collocation Rhetoric Grammar Correction
Guosheng Liang, Kaixuan Jiang, Zuohan Wu, Dongling Li, Guangya Liu, Jianxing Yu, Jian Yin
Chinese Patent CN115952789A, Published 2023
Co-invented a patented method for Chinese Grammar Error Correction (CGEC), providing innovative solutions for nuanced rhetoric and collocation error patterns.

Research Intern, Central Research Institute, CVTE (Vision Technology Co., Ltd.)
2023 - 2024

Led the algorithmic development of Optical Chemical Structure Recognition (OCSR), a challenging computer vision task
Innovatively proposed a triple-alignment approach connecting image features, graph representations, and structured language (SMILES), forming the core technical solution of the project
Developed and implemented end-to-end pipeline for molecular structure recognition from images

Undergraduate Research, Sun Yat-sen University
Project: Chinese Grammar Error Correction System | 2021 - 2022

Principal Investigator of university innovation project on CGEC (Chinese Grammar Error Correction)
Designed and implemented a novel framework focusing on collocation rhetoric grammar correction
Resulted in a patent application and successful project completion

National First Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM), Nov. 2021
- Ranked top 0.65% among approximately 49,000 participating teams nationwide
National Bronze Prize, China Undergraduate Algorithm Design and Programming Challenge, 2020
Outstanding Student Scholarship, Sun Yat-sen University, 2020 & 2021 & 2022 (3 times)