Haifeng Liu - RankMe

21 papers A* 1Journal 11Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling confounders via counterfactual interventions for fair recommendations. Expert Syst. Appl. Junjie Shi, Haifeng Liu, Nan Zhao, Junsheng Zhou
2026	J	`jnl`	Inter-group knowledge transfer and representation distillation for fair recommendation. Knowl. Based Syst. Junjie Shi, Yanan Liu, Haifeng Liu, Junsheng Zhou
2025	J	`jnl`	CommonVoice-SpeechRE and RPG-MoGe: Advancing Speech Relation Extraction with a New Dataset and Multi-Order Generative Framework. CoRR Jinzhong Ning, Paerhati Tulajiang, Yingying Le, Yijia Zhang, Yuanyuan Sun, Hongfei Lin, Haifeng Liu
2025	J	`jnl`	DSNet: Predicting drug-side effect frequencies via Dual-Graph Ensemble and Similarity Learning. Knowl. Based Syst. Qiuyu Long, Nan Zhao, Haifeng Liu
2025	—	`conf`	Diffusion-Causal Synergy Enhancement for Drug Repositioning. BIBM Haifeng Liu, Qiuyu Long, Nan Zhao, Junsheng Zhou, Yanhui Gu
2025	—	`conf`	Dynamic Knowledge-Aware LLM for Adverse Drug Reaction Entity Recognition. ISBRA (2) Yunzhi Qiu, Bo Zhang, Haohao Zhu, Changrong Min, Haifeng Liu, Tongxuan Zhang, Liang Yang, Hongfei Lin
2024	—	`conf`	Dual-Branch Contrast Enhancement for Drug Repositioning. BIBM Haifeng Liu, Qiuyu Long, Nan Zhao
2023	—	`conf`	SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. BIBM Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin
2022	J	`jnl`	Dual constraints and adversarial learning for fair recommenders. Knowl. Based Syst. Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan
2022	J	`jnl`	Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma
2022	—	`conf`	MGEDR: A Molecular Graph Encoder for Drug Recommendation. NLPCC (2) Kaiyuan Shi, Shaowu Zhang, Haifeng Liu, Yijia Zhang, Hongfei Lin
2022	J	`jnl`	Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. Neural Comput. Appl. Haifeng Liu, Yukai Wang, Hongfei Lin, Bo Xu, Nan Zhao
2022	J	`jnl`	Perceived individual fairness with a molecular representation for medicine recommendations. Knowl. Based Syst. Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin
2022	J	`jnl`	Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022	A*	`conf`	Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022	J	`jnl`	Self-supervised learning for fair recommender systems. Appl. Soft Comput. Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang
2021	J	`jnl`	SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. Inf. Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, Hongfei Lin
2021	—	`conf`	Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. BIBM Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang
2020	—	`conf`	Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. BIBM Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun
2020	—	`conf`	Improving Social Recommendations with Item Relationships. ICONIP (4) Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao
2017	—	`conf`	Research of cross-discipline based on Web-of-Science Categories. ISSI Yuan Lin, Haifeng Liu, Xiaoling Sun, Kun Ding, Luying Li