Research of cross-discipline based on Web-of-Science Categories. - Yuan Lin 001; Haifeng Liu 002; Xiaoling Sun 002; Kun Ding; Luying Li (ISSI, 2017)

Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. - Haifeng Liu 002; Hongfei Lin; Chen Shen 001; Liang Yang 003; Yuan Lin 001; Bo Xu 009; Zhihao Yang; Jian Wang 021; Yuanyuan Sun 002 (BIBM, 2020)

Improving Social Recommendations with Item Relationships. - Haifeng Liu 002; Hongfei Lin; Bo Xu 009; Liang Yang 003; Yuan Lin 001; Yonghe Chu; Wenqi Fan; Nan Zhao 001 (ICONIP (4), 2020)

Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. - Haifeng Liu 002; Hongfei Lin; Chen Shen 001; Zhihao Yang; Jian Wang 021; Liang Yang 003 (BIBM, 2021)

SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. - Santosh Kumar Banbhrani; Bo Xu 009; Haifeng Liu 002; Hongfei Lin (Inf., 2021)

MGEDR: A Molecular Graph Encoder for Drug Recommendation. - Kaiyuan Shi; Shaowu Zhang 002; Haifeng Liu 002; Yijia Zhang 001; Hongfei Lin (NLPCC (2), 2022)

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Liang Yang 003; Chenliang Li; Fenglong Ma; Haifeng Liu 002; Hongfei Lin (SIGIR, 2022)

Self-supervised learning for fair recommender systems. - Haifeng Liu 002; Hongfei Lin; Wenqi Fan; Yuqi Ren; Bo Xu 009; Xiaokun Zhang 001; Dongzhen Wen; Nan Zhao 001; Yuan Lin 001; Liang Yang 003 (Appl. Soft Comput., 2022)

Dynamic intent-aware iterative denoising network for session-based recommendation. - Xiaokun Zhang 001; Hongfei Lin; Bo Xu 009; Chenliang Li; Yuan Lin 001; Haifeng Liu 002; Fenglong Ma (Inf. Process. Manag., 2022)

Perceived individual fairness with a molecular representation for medicine recommendations. - Haifeng Liu 002; Hongfei Lin; Bo Xu 009; Nan Zhao 001; Dongzhen Wen; Xiaokun Zhang 001; Yuan Lin 001 (Knowl. Based Syst., 2022)

Dual constraints and adversarial learning for fair recommenders. - Haifeng Liu 002; Nan Zhao 001; Xiaokun Zhang 001; Hongfei Lin; Liang Yang 003; Bo Xu 009; Yuan Lin 001; Wenqi Fan (Knowl. Based Syst., 2022)

Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. - Haifeng Liu 002; Yukai Wang; Hongfei Lin; Bo Xu 009; Nan Zhao 001 (Neural Comput. Appl., 2022)

SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. - Yunzhi Qiu; Xiaokun Zhang 001; Weiwei Wang; Youlin Wu; Bo Xu 009; Haifeng Liu 002; Hongfei Lin (BIBM, 2023)

Dynamic Knowledge-Aware LLM for Adverse Drug Reaction Entity Recognition. - Yunzhi Qiu; Bo Zhang; Haohao Zhu; Changrong Min; Haifeng Liu 002; Tongxuan Zhang; Liang Yang 003; Hongfei Lin (ISBRA (2), 2025)

DSNet: Predicting drug-side effect frequencies via Dual-Graph Ensemble and Similarity Learning. - Qiuyu Long; Nan Zhao 001; Haifeng Liu 002 (Knowl. Based Syst., 2025)