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ORCIDJunnan Dong
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Journal Articles
- 2024
[j2]Qinggang Zhang
, Junnan Dong, Qiaoyu Tan, Xiao Huang:
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 36(4): 1667-1682 (2024)- 2022
- [j1]Cheng Peng, Hao Jiang, Junnan Dong, Xiao Huang:
College-Related Question Answering based on Knowledge Graph. IEEE Data Eng. Bull. 45(4): 60-71 (2022)
Conference and Workshop Papers
- 2024
- [c14]Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang:
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. ACL (1) 2024: 2417-2429 - [c13]Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu:
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. EMNLP (Findings) 2024: 3929-3940 - [c12]Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang:
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. KDD 2024: 4268-4277 - [c11]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:
NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE. MetaCom 2024: 57-64 - [c10]Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang:
Entity Alignment with Noisy Annotations from Large Language Models. NeurIPS 2024 - [c9]Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang:
Cost-efficient Knowledge-based Question Answering with Large Language Models. NeurIPS 2024 - [c8]Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang:
KnowGPT: Knowledge Graph based Prompting for Large Language Models. NeurIPS 2024 - 2023
- [c7]Junnan Dong, Wentao Li, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng:
Gradual Study Advising with Course Knowledge Graphs. ICWL 2023: 125-138 - [c6]Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang:
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR 2023: 7-17 - [c5]Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao:
Active Ensemble Learning for Knowledge Graph Error Detection. WSDM 2023: 877-885 - [c4]Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang:
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW 2023: 2519-2527 - 2022
- [c3]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CIKM 2022: 2590-2599 - [c2]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:
KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning. ICBL 2022: 358-369 - [c1]Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang:
Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education. ICWL 2022: 148-160
Informal and Other Publications
- 2025
- [i14]Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang:
Benchmarking Large Language Models via Random Variables. CoRR abs/2501.11790 (2025) - [i13]Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang:
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. CoRR abs/2501.13958 (2025) - [i12]Yilin Xiao, Junnan Dong, Chuang Zhou, Su Dong, Qian-wen Zhang, Di Yin, Xing Sun, Xiao Huang:
GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation. CoRR abs/2506.02404 (2025) - 2024
- [i11]Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang:
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR abs/2402.12728 (2024) - [i10]Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang:
Structure Guided Large Language Model for SQL Generation. CoRR abs/2402.13284 (2024) - [i9]Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang:
Entity Alignment with Noisy Annotations from Large Language Models. CoRR abs/2405.16806 (2024) - [i8]Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang:
Cost-efficient Knowledge-based Question Answering with Large Language Models. CoRR abs/2405.17337 (2024) - [i7]Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang:
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. CoRR abs/2406.01140 (2024) - [i6]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. CoRR abs/2406.08426 (2024) - [i5]Zhu Wang, Shuang Zhou, Junnan Dong, Chang Yang, Xiao Huang, Shengjie Zhao:
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning. CoRR abs/2407.05934 (2024) - [i4]Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang:
Neuro-Symbolic Entity Alignment via Variational Inference. CoRR abs/2410.04153 (2024) - [i3]Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang:
CLR-Bench: Evaluating Large Language Models in College-level Reasoning. CoRR abs/2410.17558 (2024) - 2023
- [i2]Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu:
KnowGPT: Black-Box Knowledge Injection for Large Language Models. CoRR abs/2312.06185 (2023) - 2022
- [i1]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CoRR abs/2211.10030 (2022)
Coauthor Index
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