📜 Publications

2025

• GraphRAG-Bench: Challenging Domain-Specific Reasoning for Graph Retrieval-Augmented Generation.
  Yilin Xiao*, Junnan Dong*▲, Chuang Zhou, Su Dong, Qian-wen Zhang, Di Yin, Xing Sun, Xiao Huang
  arXiv
• HyperRAG: Query-centric Graph Retrieval-Augmented Generation with Adaptive Knowledge Structuring
  Chuang Zhou, Junnan Dong▲, Yilin Xiao, Su Dong, Shengyuan Chen, Di Yin, Xiao Huang
  arXiv
• Structure-Guided Large Language Models for Text-to-SQL Generation.
  Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang
  Forty-second International Conference on Machine Learning (ICML)

2024

• CLR-Bench: Evaluating Large Language Models in College-level Reasoning.
  Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang
  under review

  
  

• Cost-efficient Knowledge-based Question Answering with Large Language Models.
  Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
  Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

  

• Modality-Aware Integration with Large Language Models for Knowledge-based VQA.
  Junnan Dong*, Qinggang Zhang*, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
  The 62nd Annual Meeting of the Association for Computational Linguistics (ACL main)

  

• KnowGPT: Knowledge Graph Prompting for Large Language Models.
  Qinggang Zhang*, Junnan Dong* (co-first), Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu
  Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS)

  

• Entity Alignment with Noisy Annotations from Large Language Models.
  Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
  Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS)
• Structure Guided Large Language Model for SQL Generation.
  Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang
  arXiv preprint
• Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.
  Qinggang Zhang, keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
• QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware.
  Chuang Zhou, Junnan Dong，Zirui Liu，Kaixiong Zhou，Xiao Huang，Zhaozhuo Xu
  Empirical Methods in Natural Language Processing 2024 (EMNLP (findings))

2023

• Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
  Junnan Dong*, Qinggang Zhang*, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
  The ACM Web Conference (WWW)

  

• Active Ensemble Learning for Knowledge Graph Error Detection.
  Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
  ACM International Conference on Web Search and Data Mining (WSDM)

  

• Gradual Study Advising with Course Knowledge Graphs.
  Junnan Dong, Wentao Li, Yaowei Wang, Qing Li,
  George Baciu, Jiannong Cao, Xiao Huang, Richard Li Chen, Peter Ng
  Internation Conference on Web-based Learning (ICWL)
• Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
  Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
• Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.
  Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang
  IEEE Transactions on Knowledge and Data Engineering (TKDE)