Publications
You can also find my articles on Google Scholar and ORCID.
Selected Publications
Published in 42nd 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, Jiachuan Wang, Libin Zheng, Yongqi Zhang, Shuangyin Li, Lei Chen. "Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems." ICDE 2026.
Published in The Web Conference 2026 (WWW 2026), 2026
This paper proposes DA-RAG, which leverages attributed community search to dynamically extract relevant subgraphs for retrieval-augmented generation, outperforming existing RAG methods by up to 40%.
Recommended citation: Xingyuan Zeng, Zuohan Wu, Yue Wang, Chen Zhang, Quanming Yao, Libin Zheng, Jian Yin. "DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation." WWW 2026.
Published in arXiv preprint, 2025
This paper introduces a comprehensive taxonomy to characterize atomic reasoning steps in large reasoning models, grounding their understanding in human cognitive processes.
Recommended citation: Yuxiang Chen, Zuohan Wu, Ziwei Wang, Xiangning Yu, Xujia Li, Linyi Yang, Mengyue Yang, Jun Wang, Lei Chen. "Probing the Psyche of Large Reasoning Models: Understanding Through a Human Lens." arXiv preprint arXiv:2512.00729, 2025. https://arxiv.org/abs/2512.00729
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 IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
This paper proposes VPLight, a reinforcement learning approach that considers pedestrian dynamics for more effective traffic signal control at intersections.
Recommended citation: Xinyu Zhang, Zuohan Wu, Chen Jason Zhang, Libin Zheng, Peng Cheng, Jian Yin, Cyrus Shahabi. "VPLight: A Reinforcement Learning Approach for Traffic Signal Control with Pedestrian Dynamics." IEEE Transactions on Knowledge and Data Engineering, 2025. https://doi.org/10.1109/TKDE.2025.3641213
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
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
Xingyuan Zeng, Zuohan Wu, Yue Wang, Chen Zhang, Quanming Yao, Libin Zheng, Jian Yin
The Web Conference 2026 (WWW 2026), CCF-A
Status: Accepted
Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems
Zuohan Wu, Jiachuan Wang, Libin Zheng, Yongqi Zhang, Shuangyin Li, Lei Chen
42nd IEEE International Conference on Data Engineering (ICDE 2026), CCF-A
Status: Accepted
2025
VPLight: A Reinforcement Learning Approach for Traffic Signal Control with Pedestrian Dynamics
Xinyu Zhang, Zuohan Wu, Chen Jason Zhang, Libin Zheng, Peng Cheng, Jian Yin, Cyrus Shahabi
IEEE Transactions on Knowledge and Data Engineering (TKDE), CCF-A
[DOI]
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]
Probing the “Psyche” of Large Reasoning Models: Understanding Through a Human Lens
Yuxiang Chen, Zuohan Wu, Ziwei Wang, Xiangning Yu, Xujia Li, Linyi Yang, Mengyue Yang, Jun Wang, Lei Chen
arXiv preprint arXiv:2512.00729, 2025
[arXiv]
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, traffic signal control, and competitive scenarios.
Graph-based Retrieval-Augmented Generation: Advancing RAG systems with dynamic graph structures for improved knowledge retrieval and generation.
Understanding and Analyzing Large Reasoning Models: Probing the reasoning processes of LLMs through interdisciplinary perspectives.
Last updated: Jan 2026
