Junnan Dong

According to our database, Junnan Dong authored at least 25 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation.

Yilin Xiao, Junnan Dong, Chuang Zhou, Su Dong, Qian-wen Zhang, Di Yin, Xing Sun, Xiao Huang

CoRR, June, 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, Yi Chang, Xiao Huang

CoRR, January, 2025

Benchmarking Large Language Models via Random Variables.

Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang

CoRR, January, 2025

2024

Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.

Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang

IEEE Trans. Knowl. Data Eng., April, 2024

CLR-Bench: Evaluating Large Language Models in College-level Reasoning.

Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang

CoRR, 2024

Neuro-Symbolic Entity Alignment via Variational Inference.

Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang

CoRR, 2024

Graph Anomaly Detection with Noisy Labels by Reinforcement Learning.

Zhu Wang, Shuang Zhou, Junnan Dong, Chang Yang, Xiao Huang, Shengjie Zhao

CoRR, 2024

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL.

Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang

CoRR, 2024

Structure Guided Large Language Model for SQL Generation.

Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang

CoRR, 2024

KnowGPT: Knowledge Graph based Prompting for Large Language Models.

Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cost-efficient Knowledge-based Question Answering with Large Language Models.

Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Entity Alignment with Noisy Annotations from Large Language Models.

Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE.

Ye Jia, Zackary P. T. Sin, Xiangzhi Eric Wang, Chen Li, Peter H. F. Ng, Xiao Huang, Junnan Dong, Yaowei Wang, George Baciu, Jiannong Cao, Qing Li

Proceedings of the IEEE International Conference on Metaverse Computing, 2024

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.

Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware.

Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

KnowGPT: Black-Box Knowledge Injection for Large Language Models.

Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu

CoRR, 2023

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.

Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang

Proceedings of the ACM Web Conference 2023, 2023

Active Ensemble Learning for Knowledge Graph Error Detection.

Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.

Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Gradual Study Advising with Course Knowledge Graphs.

Junnan Dong, Wentao Li, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng

Proceedings of the Advances in Web-Based Learning - ICWL 2023, 2023

2022

College-Related Question Answering based on Knowledge Graph.

Cheng Peng, Hao Jiang, Junnan Dong, Xiao Huang

IEEE Data Eng. Bull., 2022

Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education.

Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang

Proceedings of the Learning Technologies and Systems, 2022

KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning.

Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng, Junnan Dong, Qinggang Zhang, Zackary P. T. Sin, Yaowei Wang

Proceedings of the Blended Learning: Engaging Students in the New Normal Era, 2022

Contrastive Knowledge Graph Error Detection.

Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022