Contrastive Knowledge Graph Error Detection. - Qinggang Zhang; Junnan Dong; Keyu Duan; Xiao Huang 001; Yezi Liu; Linchuan Xu (CIKM, 2022)

KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning. - Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001; Richard Chen Li; Peter H. F. Ng; Junnan Dong; Qinggang Zhang; Zackary P. T. Sin; Yaowei Wang 001 (ICBL, 2022)

Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education. - Wentao Li; Huachi Zhou; Junnan Dong; Qinggang Zhang; Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001 (ICWL, 2022)

College-Related Question Answering based on Knowledge Graph. - Cheng Peng; Hao Jiang; Junnan Dong; Xiao Huang 001 (IEEE Data Eng. Bull., 2022)

Gradual Study Advising with Course Knowledge Graphs. - Junnan Dong; Wentao Li; Yaowei Wang 001; Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001; Richard Chen Li; Peter H. F. Ng (ICWL, 2023)

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. - Huachi Zhou; Hao Chen 062; Junnan Dong; Daochen Zha; Chuang Zhou 002; Xiao Huang 001 (SIGIR, 2023)

Active Ensemble Learning for Knowledge Graph Error Detection. - Junnan Dong; Qinggang Zhang; Xiao Huang 001; Qiaoyu Tan; Daochen Zha; Zihao Zhao (WSDM, 2023)

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. - Junnan Dong; Qinggang Zhang; Xiao Huang 001; Keyu Duan; Qiaoyu Tan; Zhimeng Jiang (WWW, 2023)

KnowGPT: Black-Box Knowledge Injection for Large Language Models. - Qinggang Zhang; Junnan Dong; Hao Chen 062; Xiao Huang 001; Daochen Zha; Zailiang Yu (CoRR, 2023)

Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. - Junnan Dong; Qinggang Zhang; Huachi Zhou; Daochen Zha; Pai Zheng; Xiao Huang 001 (ACL (1), 2024)

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. - Chuang Zhou 002; Junnan Dong; Xiao Huang 001; Zirui Liu 001; Kaixiong Zhou; Zhaozhuo Xu (EMNLP (Findings), 2024)

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. - Qinggang Zhang; Keyu Duan; Junnan Dong; Pai Zheng; Xiao Huang 001 (KDD, 2024)

NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE. - Ye Jia; Zackary P. T. Sin; Xiangzhi Eric Wang; Chen Li 023; Peter H. F. Ng; Xiao Huang 001; Junnan Dong; Yaowei Wang 001; George Baciu; Jiannong Cao 001; Qing Li 001 (MetaCom, 2024)

Entity Alignment with Noisy Annotations from Large Language Models. - Shengyuan Chen; Qinggang Zhang; Junnan Dong; Wen Hua; Qing Li 001; Xiao Huang 001 (NeurIPS, 2024)

Cost-efficient Knowledge-based Question Answering with Large Language Models. - Junnan Dong; Qinggang Zhang; Chuang Zhou 002; Hao Chen 062; Daochen Zha; Xiao Huang 001 (NeurIPS, 2024)

KnowGPT: Knowledge Graph based Prompting for Large Language Models. - Qinggang Zhang; Junnan Dong; Hao Chen 062; Daochen Zha; Zailiang Yu; Xiao Huang 001 (NeurIPS, 2024)

Structure Guided Large Language Model for SQL Generation. - Qinggang Zhang; Junnan Dong; Hao Chen 062; Wentao Li; Feiran Huang; Xiao Huang 001 (CoRR, 2024)

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL. - Zijin Hong; Zheng Yuan; Qinggang Zhang; Hao Chen 062; Junnan Dong; Feiran Huang; Xiao Huang 001 (CoRR, 2024)

Graph Anomaly Detection with Noisy Labels by Reinforcement Learning. - Zhu Wang; Shuang Zhou 012; Junnan Dong; Chang Yang; Xiao Huang 001; Shengjie Zhao (CoRR, 2024)

Neuro-Symbolic Entity Alignment via Variational Inference. - Shengyuan Chen; Qinggang Zhang; Junnan Dong; Wen Hua; Jiannong Cao 001; Xiao Huang 001 (CoRR, 2024)

CLR-Bench: Evaluating Large Language Models in College-level Reasoning. - Junnan Dong; Zijin Hong; Yuanchen Bei; Feiran Huang; Xinrun Wang; Xiao Huang 001 (CoRR, 2024)

Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. - Qinggang Zhang; Junnan Dong; Qiaoyu Tan; Xiao Huang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Benchmarking Large Language Models via Random Variables. - Zijin Hong; Hao Wu 070; Su Dong; Junnan Dong; Yilin Xiao 002; Yujing Zhang; Zhu Wang; Feiran Huang; Linyi Li; Hongxia Yang; Xiao Huang 001 (CoRR, 2025)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. - Qinggang Zhang; Shengyuan Chen; Yuanchen Bei; Zheng Yuan; Huachi Zhou; Zijin Hong; Junnan Dong; Hao Chen 062; Yi Chang; Xiao Huang 001 (CoRR, 2025)

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation. - Yilin Xiao 002; Junnan Dong; Chuang Zhou 002; Su Dong; Qian-wen Zhang; Di Yin; Xing Sun; Xiao Huang 001 (CoRR, 2025)