Research & Publications
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Publications
CIGMA: Causal-inspired invariant graph matching with multi-view contrastive distillation for predicting herb-symptom associations Qiuyu Long, Nan Zhao, Haifeng Liu, Qingpeng Zhang, Jiannan Yang CAS Q2
Self-enhancing prompt optimization for language style generation Haifeng Liu, Hedeng Hu, Wenxin Yang, Junsheng Zhou, Nan Zhao · Knowledge-Based Systems CAS Q1
RPG-MoGe: Relation Prompt-Guided Multi-Order Generative Ensemble Framework for Speech Relation Extraction Jinzhong Ning, Paerhati Tulajiang, Yingying Le, et al., Haifeng Liu · IEEE TASLP CCF B
Disentangling Confounders via Counterfactual Interventions for Fair Recommendations Junjie Shi, Haifeng Liu*, Nan Zhao, Junsheng Zhou · Expert Systems with Applications CAS Q1
Inter-Group Knowledge Transfer and Representation Distillation for Fair Recommendation Junjie Shi, Yanan Liu, Haifeng Liu*, Junsheng Zhou · Knowledge-Based Systems CAS Q1
Diffusion-Causal Synergy Enhancement for Drug Repositioning Haifeng Liu, Qiuyu Long, Nan Zhao*, Junsheng Zhou, Yanhui Gu · BIBM 2025 CCF B
DSNet: Predicting drug-side effect frequencies via Dual-Graph Ensemble and Similarity Learning Qiuyu Long, Nan Zhao, Haifeng Liu* · Knowledge-Based Systems CAS Q1
Chiral Molecular Graph Encoder for Medication Recommendation Haifeng Liu, Nan Zhao*, Junsheng Zhou, Weiguang Qu · BIBM 2024 CCF B
Dual-Branch Contrast Enhancement for Drug Repositioning Haifeng Liu, Qiuyu Long, Nan Zhao* · BIBM 2024 CCF B
SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, et al., Haifeng Liu, Hongfei Lin · BIBM 2023 CCF B
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation Xiaokun Zhang, Bo Xu, Liang Yang, et al., Haifeng Liu, Hongfei Lin · SIGIR 2022 CCF A
Dynamic intent-aware iterative denoising network for session-based recommendation Xiaokun Zhang, Hongfei Lin, Bo Xu, et al., Haifeng Liu · Information Processing & Management CCF B
Self-supervised learning for fair recommender systems Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang · Applied Soft Computing CAS Q2
Perceived individual fairness with a molecular representation for medicine recommendations Haifeng Liu, Hongfei Lin*, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin · Knowledge-Based Systems CAS Q1
Dual constraints and adversarial learning for fair recommenders Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan · Knowledge-Based Systems CAS Q1
Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang · BIBM 2021 CCF B
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network Haifeng Liu, Hongfei Lin*, Chen Shen, Liang Yang, et al. · BIBM 2020 CCF B