Publications
You can also find my articles on Google Scholar and ORCID.
Conference Papers
Published in 40th IEEE International Conference on Data Engineering (ICDE 2026), 2026
This paper presents MaidLog, an LLM-based framework achieving industry-leading zero-shot accuracy for log anomaly detection while efficiently running on resource-constrained edge devices.
Recommended citation: Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu. "Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems." ICDE 2026.
Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
This paper develops a deep reinforcement learning model with a multi-policy fusion mechanism that enables more adaptive and profitable pricing strategies in dynamic competitive environments.
Recommended citation: Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu. "DRLPG: Reinforced Opponent-Aware Order Pricing for Hub Mobility Services." IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 6, pp. 3298-3311, 2025. https://doi.org/10.1109/TKDE.2025.3551147
Published in 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023
This paper proposes a novel opponent-aware pricing framework for emerging hub-oriented mobility services, significantly improving platform revenue and operational efficiency.
Recommended citation: Zuohan Wu, Libin Zheng, Chen Jason Zhang, Huaijie Zhu, Jian Yin, Di Jiang. "Opponent-aware Order Pricing towards Hub-oriented Mobility Services." ICDE 2023, pp. 1874-1886. https://doi.org/10.1109/ICDE55515.2023.00146
Full Publication List
2026
- 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
Status: Accepted
2025
- 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]
2023
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, pp. 1874-1886
[DOI] [DBLP]
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
Research Topics
My research spans several interconnected areas:
Large Language Models for Data Engineering: Developing LLM-based systems for automating data engineering tasks, including log analysis and anomaly detection.
Deep Reinforcement Learning: Applying RL techniques to dynamic optimization problems, particularly in pricing strategies and competitive scenarios.
Intelligent Data Systems: Building end-to-end intelligent systems that bridge the gap between raw data and actionable insights.
Last updated: Oct 2025
