📜Publications
* for Co-first Author2024
- 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
arXiv preprint
- Structure Guided Large Language Model for SQL Generation.
Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang
arXiv preprint
2023
- KnowGPT: Black-Box Knowledge Injection for Large Language Models.
Qinggang Zhang*, Junnan Dong*, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu
arXiv preprint
- 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)
2022
- Contrastive Knowledge Graph Error Detection.
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu.
ACM International Conference on Information and Knowledge Management (CIKM)