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ORCIDHaifeng Liu 0002
Person information
- affiliation: Dalian University of Technology, Department of Computer Science, Liaoning, China
Other persons with the same name
- Haifeng Liu (aka: Hai-Feng Liu) — disambiguation page
- Haifeng Liu 0001
![[0000-0002-8142-0642]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8142-0642")
— Zhejiang University, State Key Lab of CAD&CG, College of Computer Science, China (and 1 more) - Haifeng Liu 0003 — Huazhong University of Science and Technology, Clusters and Grid Computing Lab, National Engineering Research Center for Big Data Technology, Wuhan, China
- Haifeng Liu 0004 — Guangdong OPPO Mobile Telecommunications Corp., Ltd, Guangdong, China (and 1 more)
- Haifeng Liu 0005 — IBM Research, Information and Knowledge Department, ZGC Software Park, Beijing, China
- Haifeng Liu 0006 — Zhejiang University, College of Computer Science, China (and 1 more)
- Haifeng Liu 0007 — Nanyang Technological University, Centre for Advanced Information Systems, School of Computer Engineering, Singapore
- Haifeng Liu 0008 (aka: Hai-Feng Liu 0008) — Guilin University of Technology, College of Geomatics and Geoinformation, China
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Journal Articles
- 2022
[j6]Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang:
Self-supervised learning for fair recommender systems. Appl. Soft Comput. 125: 109126 (2022)- [j5]Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma:
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59(3): 102936 (2022) - [j4]Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan:
Dual constraints and adversarial learning for fair recommenders. Knowl. Based Syst. 239: 108058 (2022) - [j3]Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin:
Perceived individual fairness with a molecular representation for medicine recommendations. Knowl. Based Syst. 247: 108755 (2022) - [j2]Haifeng Liu, Yukai Wang, Hongfei Lin, Bo Xu, Nan Zhao:
Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. Neural Comput. Appl. 34(20): 18097-18111 (2022) - 2021
- [j1]Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, Hongfei Lin:
SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. Inf. 12(10): 389 (2021)
Conference and Workshop Papers
- 2022
- [c6]Kaiyuan Shi, Shaowu Zhang, Haifeng Liu, Yijia Zhang, Hongfei Lin:
MGEDR: A Molecular Graph Encoder for Drug Recommendation. NLPCC (2) 2022: 98-109 - [c5]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR 2022: 1684-1693 - 2021
- [c4]Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang:
Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. BIBM 2021: 1412-1417 - 2020
- [c3]Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun:
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. BIBM 2020: 319-322 - [c2]Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao:
Improving Social Recommendations with Item Relationships. ICONIP (4) 2020: 763-770 - 2017
- [c1]Yuan Lin, Haifeng Liu, Xiaoling Sun, Kun Ding, Luying Li:
Research of cross-discipline based on Web-of-Science Categories. ISSI 2017: 1394-1405
Informal and Other Publications
- 2022
- [i1]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR abs/2205.04181 (2022)
Coauthor Index
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