An interpretable model for predicting side effects of analgesics for osteoarthritis. - Liangliang Liu 001; Jianxin Wang 001; Min Li 007; Fang-Xiang Wu; Hong-Dong Li; Ying Yu; Zhihui Fei (BIBM, 2017)

A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. - Min Zeng; Min Li 007; Zhihui Fei; Fang-Xiang Wu; Yaohang Li; Yi Pan 001 (BIBM, 2018)

Automatic ICD-9 coding via deep transfer learning. - Min Zeng; Min Li 007; Zhihui Fei; Ying Yu; Yi Pan 001; Jianxin Wang 001 (Neurocomputing, 2019)

Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. - Ying Yu; Min Li 007; Liangliang Liu 001; Zhihui Fei; Fang-Xiang Wu; Jianxin Wang 001 (J. Biomed. Informatics, 2019)

Automated ICD-9 Coding via A Deep Learning Approach. - Min Li 007; Zhihui Fei; Min Zeng; Fang-Xiang Wu; Yaohang Li; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. - Min Zeng; Min Li 007; Zhihui Fei; Fang-Xiang Wu; Yaohang Li; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. - Min Zeng; Chengqian Lu; Zhihui Fei; Fang-Xiang Wu; Yaohang Li; Jianxin Wang 001; Min Li 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. - Yifan Wu 008; Min Zeng; Zhihui Fei; Ying Yu; Fang-Xiang Wu; Min Li 007 (Neurocomputing, 2022)

Smart Issue Detection for Large-Scale Online Service Systems Using Multi-Channel Data. - Liushan Chen; Yu Pei 001; Mingyang Wan; Zhihui Fei; Tao Liang; Guojun Ma (FASE, 2024)

Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction. - Fengmao Lv; Tao Liang; Zhihui Fei; Wenya Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. - Ming Zhang 030; Yuhui Wang; Yujiong Shen; Tingyi Yang; Changhao Jiang; Yilong Wu; Shihan Dou; Qinhao Chen; Zhiheng Xi; Zhihao Zhang 002; Yi Dong; Zhen Wang 020; et al. (ACL (Findings), 2025)

Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training. - Changhao Jiang; Ming Zhang 030; Junjie Ye; Xiaoran Fan; Yifei Cao; Jiajun Sun; Zhiheng Xi; Shihan Dou; Yi Dong; Yujiong Shen; Jingqi Tong; Zhen Wang 020; et al. (CoRR, 2025)

Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning. - Jingqi Tong; Jixin Tang; Hangcheng Li; Yurong Mou; Ming Zhang 030; Jun Zhao 019; Yanbo Wen; Fan Song; Jiahao Zhan; Yuyang Lu; Chaoran Tao; Zhiyuan Guo; et al. (CoRR, 2025)

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents. - Changhao Jiang; Jiajun Sun; Yifei Cao; Jiabao Zhuang; Hui Li; Xiaoran Fan; Ming Zhang 030; Junjie Ye; Shihan Dou; Zhiheng Xi; Jingqi Tong; Yilong Wu; et al. (CoRR, 2025)

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. - Ming Zhang 030; Yujiong Shen; Jingyi Deng; Yuhui Wang; Yue Zhang 004; Junzhe Wang; Shichun Liu; Shihan Dou; Huayu Sha; Qiyuan Peng; Changhao Jiang; Jingqi Tong; et al. (CoRR, 2025)