| 2026 | ACL | MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning. | Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian |
| 2026 | ACL | AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models. | Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Xian Wu, Li Zhu, Xueming Qian |
| 2025 | AAAI | Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. | Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen |
| 2025 | ACL | A Survey on Foundation Language Models for Single-cell Biology. | Fan Zhang, Hao Chen, Zhihong Zhu, Ziheng Zhang, Zhenxi Lin, Ziyue Qiao, Yefeng Zheng, Xian Wu |
| 2025 | EMNLP | Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding. | Zhenxi Lin, Ziheng Zhang, Jian Wu, Yefeng Zheng, Xian Wu |
| 2025 | WWW | How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs. | Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, Xian Wu |
| 2024 | CIKM | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng |
| 2024 | COLING | Biomedical Entity Linking as Multiple Choice Question Answering. | Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng |
| 2024 | COLING | Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. | Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | EMNLP | Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | ICASSP | Improving Biomedical Entity Linking with Retrieval-Enhanced Learning. | Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng |
| 2023 | EMNLP | Relation-aware Ensemble Learning for Knowledge Graph Embedding. | Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng |
| 2022 | APWEB | Probing the Impacts of Visual Context in Multimodal Entity Alignment. | Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng |
| 2022 | COLING | Multi-modal Contrastive Representation Learning for Entity Alignment. | Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng |
| 2021 | ACL | Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification. | Haibin Chen, Qianli Ma, Zhenxi Lin, Jiangyue Yan |
| 2021 | ACL | A Span-based Dynamic Local Attention Model for Sequential Sentence Classification. | Xichen Shang, Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen |
| 2021 | ACL | OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding. | Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng |
| 2021 | EMNLP | CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning. | Zhenxi Lin, Qianli Ma, Jiangyue Yan, Jieyu Chen |
| 2021 | IJCAI | Time-Aware Multi-Scale RNNs for Time Series Modeling. | Zipeng Chen, Qianli Ma, Zhenxi Lin |
| 2020 | AAAI | Temporal Pyramid Recurrent Neural Network. | Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell |
| 2020 | EMNLP | MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification. | Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen, Liuhong Yu |