Google Scholar
- Haifeng Liu, Nan Zhao*, Junsheng Zhou, and Weiguang Qu. “Chiral Molecular Graph Encoder for Medication Recommendation”. BIBM2024. (*corresponding authors)(CCF B).
- Haifeng Liu, Qiuyu Long, and Nan Zhao*. “Dual-Branch Contrast Enhancement for Drug Repositioning”. BIBM2024. (*corresponding authors)(CCF B).
- Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin. “SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions”. BIBM 2023. (CCF B).
- Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin*(2022). “Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation”. SIGIR 2022. (CCF A).
- Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma(2022). “Dynamic intent-aware iterative denoising network for session-based recommendation”. Information Processing & Management. (CCF B).
- Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang*(2022). “Self-supervised learning for fair recommender systems”. Applied Soft Computing. (*corresponding authors)(IF: 8.263).
- Haifeng Liu, Hongfei Lin*, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin(2022). “Perceived individual fairness with a molecular representation for medicine recommendations”. Knowledge-Based Systems. (*corresponding authors)(IF: 8.139)
- Haifeng Liu, Yukai Wang, Hongfei Lin*, Bo Xu, Nan Zhao. (2022). “Mitigating Sensitive Data Exposure with Adversarial Learning for Fairness Recommendation Systems”. Neural Computing & Applications. (*corresponding authors)(IF: 5.102)
- Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin*, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan (2022). “Dual constraints and adversarial learning for fair recommenders”. Knowledge-Based Systems. (*corresponding authors)(IF: 8.139)
- Haifeng Liu, Hongfei Lin*, Chen Shen, Liang Yang, et al (2022). “A network representation approach for COVID-19 drug recommendation”. Methods. (*corresponding authors)(IF: 4.647)
- Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang* (2021). “Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation”. BIBM 2021 (CCF B). Code (*corresponding authors)
- Haifeng Liu, Hongfei Lin*, Chen Shen, Liang Yang, et al (2020). “Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network”. BIBM 2020 (CCF B). (*corresponding authors)
- Haifeng Liu, Hongfei Lin*, Bo Xu, et al (2020). “Improving Social Recommendations with Item Relationships”. ICONIP 2020 (CCF C). (*corresponding authors)
