🎓 About Me

I am currently a Postdoctoral Fellow at the Hong Kong Polytechnic University. I earned my Ph.D. from the same institution under the supervision of Prof. Xiao HUANG with co-supervision by Prof. Jiannong CAO. Before 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

• [2026.02] Our survey on Graph-based Agent Memory is released. [Paper|Github]
• [2026.02] We release EA-GraphRAG, an efficient framework for GraphRAG. [Paper|Github]
• [2026.01] Our LinearRAG is accepted by ICLR’26. [Paper|Github]
• [2026.01] Our GraphRAG Benchmark is accepted by ICLR’26. [Paper|Github|Slides]
• [2026.01] Our RRP, a graph-augmented LLM Reasoning framework, is accepted by TKDE. [Paper]
• [2026.01] Our LoSemB, an inductive tool retrieval framework, is accepted by WWW. [Paper]
• [2026.01] Our paper NPPC, an ever-scaling benchmark, is accepted by TMLR. [Paper|Github]
• [2025.12] I was honored to receive the COMP PhD Thesis Merit Award.
• [2025.11] Three papers are accepted by AAAI’26, and NLCF is selected as an Oral presentation.
• [2025.11] Our paper LogicRAG is accepted by AAAI’26 (Poster). [Paper|Github]
• [2025.11] Our paper AimKP is accepted by AAAI’26 (Poster). [Paper|Github]
• [2025.10] Our paper KaSLA on Text-to-SQL Generation is accepted by ICDE’26. [Paper|Github]
• [2025.10] We release CLEAR, a novel framework for RAG faithfulness. [Paper|Github]
• [2025.09] Our paper NeuSymEA is accepted by NeurIPS’25. [Paper|Github]
• [2025.09] Our survey on Text-to-SQL is accepted by IEEE TKDE. [Paper|Github]
• [2025.08] Our paper FILM is accepted by ACM TOIS. [Paper|Github]
• [2025.08] Our paper RAWM is accepted by EMNLP’25 (Findings). [Paper|Github]
• [2025.08] Our paper FaithfulRAG has been selected for the SAC Highlights Award at ACL’25.
• [2025.08] We released Mol-R1, a long-CoT reasoning model for molecule discovery. [Paper|huggingface]
• [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]
• [2025.01] 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.
• [2024.06] Got the Best Presentation Award in ARSC’24 (COMP Anniversary Research Student Conference).

📔 Selected Publications (Full List)

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

Preprint:

• [arXiv’26] Chang Yang†, Chuang Zhou†, Yilin Xiao†, Su Dong, Luyao Zhuang, Yujing Zhang, Zhu Wang, Zijin Hong, Zheng Yuan, Zhishang Xiang, Shengyuan Chen‡, Huachi Zhou‡, Qinggang Zhang‡, Ninghao Liu, Jinsong Su, Xinrun Wang, Yi Chang, Xiao Huang. Graph-based Agent Memory: Taxonomy, Techniques, and Applications.
• [arXiv’26] Su Dong, Qinggang Zhang‡, Yilin Xiao, Shengyuan Chen, Chuang Zhou, Xiao Huang. Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
• [arXiv’25] Linfeng Gao, Qinggang Zhang‡, Baolong Bi, Zheng Yuan, Le Wang, Zerui Chen, Zhimin Wei, Shenghua Liu, Jinsong Su‡. Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation.
• [arXiv’25] Yilin Xiao, Chuang Zhou, Qinggang Zhang‡, Su Dong, Shengyuan Chen, Xiao Huang. LAG: Logic-Augmented Generation from a Cartesian Perspective.
• [arXiv’25] Qinggang Zhang†, Shengyuan Chen†, Yuanchen Bei†, Zheng Yuan, Huachi Zhou, Zijin Hong, Yilin Xiao, Chuang Zhou, Hao Chen, Yi Chang, Xiao Huang‡. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.
• [arXiv’25] Jiatong LI†, Weida Wang†, Qinggang Zhang†, Changmeng Zheng, Junxian Li, Di Zhang, Shufei Zhang, Xiaoyong Wei‡, Qing Li. Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery.

Published (First/Corresponding Author):

• [ICLR’26] Luyao Zhuang†, Shengyuan Chen†, Yilin Xiao, Huachi Zhou‡, Yujing Zhang, Hao Chen, Qinggang Zhang‡, Xiao Huang. LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora.
• [ICLR’26] 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.
• [IEEE TKDE] Yilin Xiao, Chuang Zhou, Qinggang Zhang‡, Bo Li, Qing Li, Xiao Huang. Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs.
• [WWW’26] Luyao Zhuang, Qinggang Zhang‡, Huachi Zhou, Yujing Zhang, Xiao Huang. LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
• [AAAI’26] Jiajun Cao, Qinggang Zhang‡, Yunbo Tang, Zhishang Xiang, Chang Yang, Jinsong Su‡. Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation.
• [AAAI’26] 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.
• [NeurIPS’25] Shengyuan Chen, Zheng Yuan, Qinggang Zhang‡, Wen Hua, Jiannong Cao, Xiao Huang. Neuro-Symbolic Entity Alignment via Variational Inference.
• [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.
• [IEEE TKDE] Zijin Hong, Zheng Yuan, Qinggang Zhang‡, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang. Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL.
• [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. (🏆 SAC Highlights Award)
• [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.

Published (Co-author):

• [ICLR’26] Weining Shi, Zhisen Wen, Qinggang Zhang, Chentao Zhang, Zhihong Zhang‡. Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton.
• [TMLR’26] Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang‡. Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs.
• [WWW’26] Qichuan Liu, Chentao Zhang, Yuxuan Hu, Chenfeng Zheng, Qinggang Zhang, Zhihong Zhang‡. Facilitating Generative Retrieval with Logical Denoising for Interpretable Conversational Search.
• [AAAI’26] Huachi Zhou, Yujing Zhang, Hao Chen‡, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang. LLM Collaborative Filtering: User-Item Graph as New Language. (Oral)
• [ICDE’26] Zheng Yuan, Hao Chen‡, Zijin Hong, Qinggang Zhang, Feiran Huang, Qing Li, Xiao Huang. Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.
• [EMNLP’25 Findings] Chang Yang, Xinrun Wang‡, Qinggang Zhang, Qi Jiang, Xiao Huang. Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning.
• [NeurIPS’24] Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Xiao Huang‡. Entity Alignment with Noisy Annotations from Large Language Models.
• [NeurIPS’24] Junnan Dong, Qinggang Zhang, Chuang Zhou, Daochen Zha, Xiao Huang‡. Cost-efficient Knowledge-based Question Answering with Large Language Models.
• [ACL’24 Findings] Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang‡, Xiao Huang. Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
• [WSDM’23] Junnan Dong, Qinggang Zhang, Xiao Huang‡, Qiaoyu Tan, Daochen Zha, Zihao Zhao. Active Ensemble Learning for Knowledge Graph Error Detection.

🏆 Honors and Awards

• [2025] COMP PhD Thesis Merit Award in 2025
• [2025] ACL SAC Highlights Award in 2025
• [2024] ARSC Best Presentation Award in 2024
• [2024] KDD Student Travel Grant in 2024
• [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

• Area Chair: ACL Rolling Review (ARR), AACL (2025), EACL (2025)

• PC Member: KDD (2024-), NeurIPS (2024-), ICLR (2025-), ICML (2025-), ACL (2025-)

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

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