About me

Biography

I am Zuohan Wu (吴左晗), a PhD candidate in the Thrust of Data Science and Analytics at The Hong Kong University of Science and Technology (Guangzhou), where I am fortunate to be advised by Prof. Lei Chen and Prof. Yongqi Zhang at the Big Data Institute.

I received my B.Eng. degree in Artificial Intelligence from Sun Yat-sen University in 2024 (GPA: 3.9/4.0, Rank: 7/71, Top 10%). My undergraduate thesis was awarded University-level Excellent Thesis under the supervision of Prof. Libin Zheng.

Research Interests

My research focuses on developing intelligent systems that automate complex and labor-intensive tasks in data engineering and analytics, making data-driven insights more accessible and actionable. My current research interests include:

• Large Language Models (LLMs) for data engineering and analytics
• Data Mining and knowledge discovery
• Deep Learning applications in real-world data systems
• Reinforcement Learning for dynamic optimization problems

Recent News

• [Oct 2026] Our paper “Saturn: Agentic Natural Language-Driven Tabular Data Discovery” has been accepted to VLDB 2027! Code
• [Sep 2026] Our paper “Superficial Reflection or Genuine Thought? A Fine-Grained Cognitive Analysis of Large Reasoning Models” has been accepted to Findings of AACL-IJCNLP 2026! PDF · Code
• [Sep 2026] New preprint: “RuleMem: Active Rule Memory for Long-Term Conversational Agents” is now available on arXiv!
• [Jan 2026] Our paper “DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation” has been accepted by WWW 2026! DOI
• [Dec 2025] Our paper “VPLight: A Reinforcement Learning Approach for Traffic Signal Control with Pedestrian Dynamics” has been published in IEEE TKDE!
• [Nov 2025] New preprint: “Probing the ‘Psyche’ of Large Reasoning Models” is now available on arXiv!
• [Oct 2025] Our paper on zero-shot log anomaly detection, MaidLog, has been accepted by ICDE 2026! DOI
• [Jun 2025] Our paper on reinforcement learning-based pricing strategy has been published in IEEE TKDE!
• [Sep 2024] Started my PhD journey at HKUST(GZ).
• [Apr 2023] Presented our work on hub-oriented mobility services at ICDE 2023.

Contact

• Email: zh.wu [at] connect.hkust-gz.edu.cn
• GitHub: hehepig4
• Google Scholar: Profile
• ORCID: 0000-0001-6166-3690

“Automating complexity, democratizing insights.”