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ORCIDZhe Li 0013
Person information
- affiliation: Delft University of Technology, Department of Intelligent Systems, The Netherlands
- affiliation (former): Tianjin University, School of Electronic Information Engineering, China
Other persons with the same name
- Zhe Li — disambiguation page
- Zhe Li 0001
![[0000-0001-7056-4133]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7056-4133")
— Syracuse University, College of Engineering and Computer Science, NY, USA - Zhe Li 0002 — Baylor College of Medicine, Houston, TX, USA (and 1 more)
- Zhe Li 0003 — Telecom Bretagne, Brest, France (and 1 more)
- Zhe Li 0004 — Harbin Medical University, College of Pharmacy, China
- Zhe Li 0005 — Inner Mongolia University, Hohhot, China (and 1 more)
- Zhe Li 0006 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Zhe Li 0007 — Southeast University, School of Information Science and Engineering, Nanjing, China
- Zhe Li 0008 — University of Iowa, Department of Computer Science, Iowa City, IA, USA
- Zhe Li 0009 — Bielefeld University, Faculty of Technology, Applied Computer Science Group, Germany
- Zhe Li 0010 — Chongqing University, Department of Automotive Engineering, State Key Laboratory of Mechanical Transmission, China
- Zhe Li 0011 — Hong Kong Polytechnic University, Hong Kong, SAR, China
- Zhe Li 0012 — Zhongnan University of EcoNomics and Law, Wuhan, China (and 1 more)
- Zhe Li 0014 — University of Wisconsin Madison, WI, USA (and 2 more)
- Zhe Li 0015 — Shandong University of Science and Technology, Shandong Province Key Laboratory of Wisdom Mine Information Technology, Qingdao, China (and 1 more)
- Zhe Li 0016 — Qingdao University of Technology, School of Civil Engineering, China (and 1 more)
- Zhe Li 0017 — Jilin University, College of Computer Science and Technology, MoE Key Laboratory for Symbol Computation and Knowledge Engineering, Changchun, China
- Zhe Li 0018 — Precision Scientific (Beijing) Co., Ltd., China
- Zhe Li 0019 — Nanjing Normal University, School of Business, China (and 1 more)
- Zhe Li 0020 — Northeastern University, Software College, Shenyang, China
- Zhe Li 0021 — Air Force Engineering University, Aeronautics Engineering College, Xi'an, China
- Zhe Li 0022 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, State Key Laboratory of Applied Optics, China
- Zhe Li 0023 — Shandong University, School of Control Science and Engineering, Jinan, China
- Zhe Li 0024 — Northeast Electric Power University, School of Electrical Engineering, Jilin, China
- Zhe Li 0025 — Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
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2020 – today
- 2023
[j3]Roger Zhe Li:
Metric Optimization and Mainstream Bias Mitigation in Recommender Systems. SIGIR Forum 57(2): 26:1-26:2 (2023)- [c4]Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning. ICTIR 2023: 135-142 - [i4]Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning. CoRR abs/2307.13632 (2023) - [i3]Roger Zhe Li:
Metric Optimization and Mainstream Bias Mitigation in Recommender Systems. CoRR abs/2311.06689 (2023) - 2021
- [c3]Roger Zhe Li, Julián Urbano, Alan Hanjalic:
New Insights into Metric Optimization for Ranking-based Recommendation. SIGIR 2021: 932-941 - [c2]Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. WSDM 2021: 103-111 - [i2]Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. CoRR abs/2102.01744 (2021) - [i1]Roger Zhe Li, Julián Urbano, Alan Hanjalic:
New Insights into Metric Optimization for Ranking-based Recommendation. CoRR abs/2106.02545 (2021)
2010 – 2019
- 2018
- [c1]Zhe Li:
Towards the next generation of multi-criteria recommender systems. RecSys 2018: 553-557 - 2017
- [j2]Wei Lu, Zhe Li, Jinghui Chu:
A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning. Comput. Biol. Medicine 83: 157-165 (2017) - [j1]Wei Lu, Zhe Li, Jinghui Chu:
Adaptive Ensemble Undersampling-Boost: A novel learning framework for imbalanced data. J. Syst. Softw. 132: 272-282 (2017)
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