| 2024 | ACL | Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. | Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua |
| 2023 | KDD | Context-aware Event Forecasting via Graph Disentanglement. | Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua |
| 2022 | ACL | A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. | Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, Deyu Zhou |
| 2022 | SIGIR | Structured and Natural Responses Co-generation for Conversational Search. | Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua |
| 2021 | EMNLP | Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. | Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou, Jie Wu |
| 2021 | EMNLP | A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering. | Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao |
| 2020 | ACL | Neural Topic Modeling with Bidirectional Adversarial Training. | Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu |