Scholar
Zhuohang Jiang
Google Scholar ID: h3vEhrgAAAAJ
PolyU
Citations & Impact
Citations
130
H-index
4
i10-index
4
Publications
9
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Publications: NeurIPS 2024 (spotlight) and AAAI 2025; Accumulated 100+ citations, h-index of 4; Contributed to the design of high-impact benchmarks such as HiBench and comprehensive surveys like WebAgents.
Research Experience
- 2022-2024: Research Assistant at MachineILab, Sichuan University, advised by Prof. JiZhe Zhou; Participated in one National Natural Science Foundation of China project and one National Key R&D Program of China.
Education
- 2025-present: PhD student at Hong Kong Polytechnic University, supervised by Prof. Qing Li and Prof. Wenqi Fan; 2020-2024: BSc in Computer Science & Technology from Sichuan University, Major GPA (CS courses): 3.79/4, 89.39/100; Overall GPA: 3.78/4, 89.25/100.
Background
- Research interests: large language models (LLMs), retrieval-augmented generation (RAG), and Recommender Systems (RecSys). Focused on both theoretical foundations and practical applications of LLM-based systems. Previous research was primarily focused on topics within computer vision, such as tampering detection and object recognition tasks.
Miscellany
- Will join Kuaishou E-commerce Team as a research intern in October 2025; Appointed as Topic Coordinator for Frontiers in Artificial Intelligence and Frontiers in Big Data in September 2025; Work QA-Dragon accepted by KDD 2025 Workshop for Multimodal Retrieval Augmented Generation in August 2025; Invited to give a talk at KDD 2025 Reasoning Day in Toronto, Canada, on August 7, 2025; Achieved 12th place globally in KDD Cup 2025 - Meta CRAG-MM Multimodal Retrieval Challenge in June 2025; Benchmark paper HiBench accepted to KDD Benchmark Track in May 2025; Survey paper A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models accepted to KDD Tutorial Track in May 2025; Completed the survey paper A Survey of WebAgents in March 2025; Completed the HiBench paper and released the code and dataset on GitHub and Hugging Face in March 2025.
