Haifeng Liu

According to our database, Haifeng Liu authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Inter-group knowledge transfer and representation distillation for fair recommendation.

Junjie Shi, Yanan Liu, Haifeng Liu, Junsheng Zhou

Knowl. Based Syst., 2026

Disentangling confounders via counterfactual interventions for fair recommendations.

Junjie Shi, Haifeng Liu, Nan Zhao, Junsheng Zhou

Expert Syst. Appl., 2026

2025

CommonVoice-SpeechRE and RPG-MoGe: Advancing Speech Relation Extraction with a New Dataset and Multi-Order Generative Framework.

Jinzhong Ning, Paerhati Tulajiang, Yingying Le, Yijia Zhang, Yuanyuan Sun, Hongfei Lin, Haifeng Liu

CoRR, September, 2025

DSNet: Predicting drug-side effect frequencies via Dual-Graph Ensemble and Similarity Learning.

Qiuyu Long, Nan Zhao, Haifeng Liu

Knowl. Based Syst., 2025

Dynamic Knowledge-Aware LLM for Adverse Drug Reaction Entity Recognition.

Yunzhi Qiu, Bo Zhang, Haohao Zhu, Changrong Min, Haifeng Liu, Tongxuan Zhang, Liang Yang, Hongfei Lin

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

Diffusion-Causal Synergy Enhancement for Drug Repositioning.

Haifeng Liu, Qiuyu Long, Nan Zhao, Junsheng Zhou, Yanhui Gu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Dual-Branch Contrast Enhancement for Drug Repositioning.

Haifeng Liu, Qiuyu Long, Nan Zhao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions.

Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems.

Haifeng Liu, Yukai Wang, Hongfei Lin, Bo Xu, Nan Zhao

Neural Comput. Appl., 2022

Dual constraints and adversarial learning for fair recommenders.

Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan

Knowl. Based Syst., 2022

Perceived individual fairness with a molecular representation for medicine recommendations.

Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin

Knowl. Based Syst., 2022

Dynamic intent-aware iterative denoising network for session-based recommendation.

Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma

Inf. Process. Manag., 2022

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

Appl. Soft Comput., 2022

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MGEDR: A Molecular Graph Encoder for Drug Recommendation.

Kaiyuan Shi, Shaowu Zhang, Haifeng Liu, Yijia Zhang, Hongfei Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2022

2021

SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network.

Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, Hongfei Lin

Inf., 2021

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Improving Social Recommendations with Item Relationships.

Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network.

Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2017

Research of cross-discipline based on Web-of-Science Categories.

Yuan Lin, Haifeng Liu, Xiaoling Sun, Kun Ding, Luying Li

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017