🎓 About Me

I am a fourth-year PhD Candidate in the DEEP Lab at the Department of Computing, The Hong Kong Polytechnic University, under the supervision of Prof. Xiao HUANG with co-supervision by Prof. Jiannong CAO. Prior to that, I obtained my B.E. from Northwestern Polytechnical University.

My research interests include Knowledge Graph (KG), Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Currently, I focus on GraphRAG and Long CoT Reasoning for specialized domains, with the latest research presented at NeurIPS, ICML, KDD, ACL, etc.

🎉 News

• [2025.08] Our paper FILM is accepted by ACM TOIS. It will be released soon.
• [2025.08] Our paper FaithfulRAG has been selected for the SAC Highlights Award at ACL’25.
• [2025.06] We released GraphRAG-Bench for GraphRAG evaluation. [Paper|Github|Slides]
• [2025.05] I passed the Ph.D. oral defense! Huge thanks to my supervisor and committee members!
• [2025.05] Our work FaithfulRAG is accepted to ACL’25. [Paper|Github]
• [2025.05] Our work SGU-SQL is accepted to ICML’25. [Paper|Github]
• [2025.04] We released NPPC, an ever-scaling reasoning benchmark for LLMs. [Paper|Github]
• [2025.01] Our survey on GraphRAG is released! [Paper|Github awesome-list]
• [2024.09] Three papers are accepted to NeurIPS’24 and one paper is accepted to KDD’24.

📔 Selected Publications (Full List)

[†]: Co-first Author, [‡]: Corresponding Author

Preprint:

• [arXiv 2025] Qinggang Zhang†, Shengyuan Chen†, Yuanchen Bei†, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Jinsong Su, Hao Chen, Yi Chang, Xiao Huang‡. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.
• [arXiv 2025] Luyao Zhuang, Qinggang Zhang‡, Huachi Zhou, Juhua Liu, Li Qing, Xiao Huang. LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
• [arXiv 2025] Shengyuan Chen, Zheng Yuan, Qinggang Zhang‡, Wen Hua, Xiao Huang. Neuro-Symbolic Entity Alignment via Variational Inference.
• [arXiv 2025] Zhishang Xiang†, Chuanjie Wu†, Qinggang Zhang‡, Shengyuan Chen, Zijin Hong, Xiao Huang, Jinsong Su‡. When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation.
• [arXiv 2025] Yilin Xiao, Chuang Zhou, Qinggang Zhang‡, Su Dong, Shengyuan Chen, Xiao Huang. LAG: Logic-Augmented Generation from a Cartesian Perspective.
• [arXiv 2025] Yilin Xiao, Chuang Zhou, Qinggang Zhang‡, Bo Li, Qing Li, Xiao Huang. Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs.
• [arXiv 2025] Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang‡, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang. You Don’t Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
• [arXiv 2025] Jiatong LI†, Weida Wang†, Qinggang Zhang†, Changmeng Zheng, Junxian Li, Di Zhang, Shufei Zhang, Xiaoyong Wei, Li Qing‡. Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery.

Published:

• [ACM TOIS] Huachi Zhou, Kaijing Yu, Qinggang Zhang‡, Hao Chen, Daochen Zha, Anthony Kong, Wenqi Pei, Xiao Huang. Self-Monitoring Large Language Models for Click-Through Rate Prediction.
• [ICML’25] Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen‡, Feiran Huang, Xiao Huang. Structure-Guided Large Language Models for Text-to-SQL Generation.
• [ACL’25] Qinggang Zhang†, Zhishang Xiang†, Yilin Xiao, Le Wang, Junhui Li, Xinrun Wang, Jinsong Su‡. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation.
• [KDD’24] Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang†. Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.
• [NeurIPS’24] Qinggang Zhang†, Junnan Dong†, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang‡. KnowGPT: Knowledge Graph based Prompting for Large Language Models.
• [IEEE TKDE] Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang‡. Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.
• [ACL’24] Junnan Dong†, Qinggang Zhang†, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang‡. Modality-Aware Integration with LLMs for Knowledge-based Visual Question Answering.
• [WWW’23] Junnan Dong†, Qinggang Zhang†, Xiao Huang‡, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang. Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
• [CIKM’22] Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang‡, Yezi Liu, Linchuan Xu. Contrastive Knowledge Graph Error Detection.

🏆 Honors and Awards

• [2025] SAC Highlights Award at ACL’25
• [2024] KDD Student Travel Grant in 2024
• [2024] Best Presentation Award of COMP 50th Anniversary Research Student Conference
• [2022] SIGIR Student Travel Grant in 2022
• [2021] Vector Scholarship in Artificial Intelligence
• [2019] Outstanding graduate award (undergraduate in NPU)
• [2015-2018] National scholarships ~ Twice
• [2017] Champion in 2017 China Robot Competition
• [2017] Champion in the 2017 international Underwater Robot competition
• [2017] Honorable Mention in the 2017 Interdisciplinary Contest in Modeling
• [2016] The CCF Outstanding Undergraduate Award
• [2016] Champion in “WRC2016” international Underwater Robot competition
• [2016] Champion at 21th FIRA RoboWorld Cup 2016, Beijing, China
• [2016] Champion in 2016 China Robot Competition

💼 Academic Service

• Program Committee: NeurIPS (2024-2025), ICLR (2025), ICML (2025), KDD (2024-2026), ACL (2025)

• Reviewer: TPAMI (2024-2025), TKDE (2023-2025)

• Volunteer: ICDM (2023), WSDM (2023), KDD (2024)