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I am currently pursuing a PhD degree at the Hong Kong Polytechnic University. My supervisors are Qing Li and Wenqi Fan. My current Cumulative GPA is 3.60/4.00. I studied at Sichuan University (SCU) from 2020 to 2024, where I majored in Computer Science & Technology. My Major GPA (CS courses): 3.79/4, 89.39/100; Overall GPA: 3.78/4, 89.25/100 During my time at Sichuan University, I worked as a research assistant at MachineILab from 2022 to 2024, advised by Prof. JiZhe Zhou. I participated in one National Natural Science Foundation of China project and one National Key R&D Program of China. Email / CV / Google Scholar / Github |
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My research centers on large language models (LLMs), AI agents, and retrieval-augmented generation (RAG), with a particular interest in turning LLM reasoning into reliable, efficient systems for large-scale decision-making and personalized user experiences. My previous research was primarily focused on topics within computer vision, such as tampering detection and object recognition tasks. I have contributed to the design of high-impact benchmarks, such as HiBench, and comprehensive surveys like WebAgents. My work has been published in top-tier conferences, including NeurIPS 2024 (spotlight) , KDD 2025, KDD 2026 and AAAI 2025, and has accumulated 500+ citations, with an h-index of 6. |
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🏆 2026-09-08 - Our paper "Do You Truly Love Me?" Benchmarking LLM Capability on Hierarchical Pragmatic Tactic Conversations was accepted to AACL-IJCNLP 2026 Main! 🎉 📜 2026-08-14 - Our new survey A Survey on AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization is now available on Preprints.org! 🎉 📜 2026-08-05 - Our new paper A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing is now available on arXiv! 🎉 🏆 2026-05-16 - Our paper Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations was accepted as a presentation at the KDD 2026 Main Conference ADS Track! 🎉 🏆2026-04 - Our paper SUPERGLASSES was accepted by CVPR 2026 Findings! 🎉 💼 2025-10 - Will join Kuaishou E-commerce Team as a research intern. 📝 2025-09 - Appointed as Topic Coordinator for Frontiers in Artificial Intelligence (Impact Factor: 4.7, CiteScore: 7.3, Logic and Reasoning Section) and Frontiers in Big Data (Impact Factor: 2.3, CiteScore: 6.1). 🏆 2025-08-20 - Our work QA-Dragon was accepted by KDD 2025 Workshop for Multimodal Retrieval Augmented Generation. 🎤 2025-08-07 - Invited to give a talk "Understanding Hierarchical Data with Large Language Models: RAG, Structural Reasoning, and Future Directions" at KDD 2025 Reasoning Day in Toronto, Canada! 🎙️ 🏅 2025-06-18 - Achieved 12th place globally in KDD Cup 2025 - Meta CRAG-MM Multimodal Retrieval Challenge among hundreds of international teams! 🌍 🏆 2025-05-16 - Our benchmark paper HiBench was accepted to KDD Benchmark Track! 🎉 🎉 2025-05-07 - Our survey paper A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models was accepted to KDD Tutorial Track! 🎊 📜 2025-03-30 - Completed the survey paper A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. 📘 2025-03-01 - Completed the HiBench paper and released the code and dataset on GitHub and Hugging Face. 🌟 2025-01-15 - Mesoscopic Insights: Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization was published in AAAI 2025. 🏆 2024-12-01 - IMDL-BenCo was published in NeurIPS 2024 Benchmark Tracks and received a Spotlight award. 🎓 2024-09-01 - Beginning my pursuit of a PhD degree in Hong Kong PolyU. 🎓 2024-06-26 - Got Outstanding Graduate Award from Sichuan University and Sichuan Province! 🎉 🎓 2024-06-26 - Graduated from Sichuan University with a bachelor's degree. 🛠️ 2024-06-12 - Completed the co-work project IMDLBenCo and finished a paper IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization 🔍 2024-05-24 - Finished a paper Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning 📚 2023-08-01 - Participated in NUS Summer School research program at National University of Singapore, completed face recognition project! 🇸🇬 |
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Zhuohang Jiang, Yuxin Chen, Shijie Wang, Haohao Qu, Zhou Jindong, Wenqi Fan, Li Qing, Dongxu Liang, Jun Wang 
LLM Reasoning · Atomic Intents · Cross-Domain Recommendation · Industrial Deployment |
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Zhuohang Jiang, Xu Yuan, Haohao Qu, Shanru Lin, Kanglong Liu, Wenqi Fan, Qing Li 
AI Smart Glasses · VQA Benchmark · Vision-Language Models · Multimodal RAG |
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Zhuohang Jiang, Pangjing Wu, Xu Yuan, Wenqi Fan, Qing Li
Query-Aware RAG · Knowledge-Intensive VQA · Multi-Hop Reasoning |
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Zhuohang Jiang, Pangjing Wu, Ziran Liang, Peter Q. Chen, Xu Yuan, Ye Jia, Jiancheng Tu, Chen Li, Peter H.F. Ng, Qing Li
Hierarchical Reasoning · LLM Benchmark · 30 Tasks · 39,519 Queries |
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Peter Q. Chen, Pangjing Wu, Zhuohang Jiang, Xiaodong Li, Peter H. F. Ng 
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LLM Evaluation · Hierarchical Pragmatics · Conversational Reasoning |
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Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiao-yong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li
Web Agents · Foundation Models · Web Automation · Trustworthiness |
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Xuekang Zhu, Xiaochen Ma, Lei Su, Zhuohang Jiang, Bo Du, Xiwen Wang, Zeyu Lei, Wentao Feng, Chi-Man Pun, Jizhe Zhou 
Image Manipulation Localization · Multi-Scale Features · Hybrid Architecture |
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Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou 
Image Forensics · Modular Benchmark · Robustness Evaluation · Reproducibility |
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Zhaoyi Liu, Zhuohang Jiang, Wendian Luo, Zhuoyao Fan, Haoda Di, Yufan Long, Haizhou Wang 
Speech Enhancement · Two-Path Transformer · GAN · Spectral Mapping |
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First Author & Team Leader • KDD 2025 Benchmark Track • 2025
Hierarchical Reasoning · 39,519 Queries · Open-Source Toolkit · KDD 2025 Oral
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Team Leader • KDD Cup 2025 • 2025
Multimodal Retrieval · RAG · Team Leadership · Global Rank #12
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Co-First Author • NeurIPS 2024 Benchmark Track — Spotlight • 2024
Image Forensics · 8 Baselines · GPU-Accelerated Evaluation · NeurIPS 2024 Spotlight
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Invited Talks • Reasoning Day @ KDD 2025 • Toronto, ON, Canada • Aug 2025
Invited Talk · Hierarchical Reasoning · RAG · KDD 2025 Reasoning Day
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Yujuan Ding, Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Wenqi Fan, Qing Li, Hui Liu, Xiaoyong Wei, Philip S. Yu KDD 2025 Tutorial • The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) • 2025
KDD 2025 Tutorial · Web Agents · Foundation Models · Web Automation
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Sichuan University, Chengdu, Sichuan, China
B.E. in Computer Science and Technology • Sep. 2020 to Jun. 2024 |
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Hong Kong Polytechnic University, Hongkong, China
PHD. in Computer Science and Technology • Sep. 2024 to Present |
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National University of Singapore (NUS)
Summer School Participant • Aug. 2023 • Participated in intensive research program at School of Computing • Completed face recognition project using CNN-based feature extraction and similarity matching • Gained international research experience and cross-cultural collaboration skills |
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DICALab, Sichuan University
Research Assistant • Sep. 2022 to Jun. 2024 Advisor: Prof. JiZhe Zhou • Developed graph-based frameworks for privacy-sensitive object detection • Participated in National Natural Science Foundation of China project • Contributed to National Key R&D Program of China • Co-authored multiple publications in top-tier conferences and journals |
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Kuaishou E-commerce Team, Kuaishou Inc.
Research Intern • Oct. 2025 to Present Beijing, China • Developed cross-domain fine-ranking models, improving cart-attached GMV by about 7pp and Live-avatar GMV by about 5pp • Extended cross-domain modeling to coarse ranking, delivering about 20pp and 2pp gains on the two GMV metrics, respectively • Built an A/B Agent-based score-fusion approach for mixed ranking, yielding about 4pp and 2pp GMV gains • Built AIR (KDD'26 ADS Track, CCF-A), an offline-to-online LLM system that distills cross-domain user behavior into atomic intents for efficient serving; and A/B Agent, a self-evolving LLM agent for closed-loop strategy optimization |
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KDD Cup 2025 — Meta CRAG-MM Toronto, Canada, 2025 |
12th Place (Global) |
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NeurIPS 2024 — IMDL‑BenCo (Co‑first Author) Vancouver, Canada, 2024 |
Spotlight Award |
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Outstanding Graduate Sichuan University & Sichuan Province, 2024 |
Top Achievement |
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Tencent Scholarship Sichuan University, China, 2023 |
Top 2% |
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A-Level Certificate Comprehensive Quality Evaluation, China, 2023 |
Excellence |
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Comprehensive First Class Scholarship Sichuan University, Sichuan, China, 2022 |
Top 1% |
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Outstanding Students of Sichuan University Sichuan University, Sichuan, China, 2022 |
Top 5% |
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Conference & Journal Reviewer 2023-2025 |
TIP, ECCV, NeurIPS, KDD, AAAI, IoTJ, |
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Conference & Journal Topic Coordinator 2025-2026 |
Frontiers in Artificial Intelligence, Frontiers in Big Data |
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Teaching Assistant The Hong Kong Polytechnic University (PolyU) |
Artificial Intelligence (COMP4431) NLP Practicum (COMP5423) DataBase System (COMP2411) |
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| Research Topics | Large Language Models (LLMs), AI Agents, Retrieval‑Augmented Generation (RAG), LLM-powered Personalization |
| Frameworks & Tools | PyTorch, Hugging Face, NumPy, Docker, Git, Anaconda |
| Languages | Mandarin (native), English (fluent, IELTS 6.5) |
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| Pangjing Wu / Xu Yuan / Changao Shen / Xiaochen Ma / Yuchuan Deng / Jiaye / Haohao Qu / Wendian Luo |