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ORCIDLi Wan 0001
Person information
- affiliation (PhD 2022): University of Melbourne, Department of Electrical and Electronic Engineering, Parkville, VIC, Australia,
Other persons with the same name
- Li Wan — disambiguation page
- Li Wan 0002 — New York University, Department of Computer Science, Courant Institute of Mathematical Science, USA
- Li Wan 0003
![[0000-0002-0146-5163]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0146-5163")
— Wuhan Textile University, School of Mathematics and Computer Science, China (and 3 more) - Li Wan 0004 — Google Inc., Google LLC., USA
- Li Wan 0005 — Huazhong University of Science and Technology, HUST, School of Mechanical Science and Engineering, Wuhan, China (and 1 more)
- Li Wan 0006 — University of Cambridge, Department of Land Economy, Department of Architecture, UK
- Li Wan 0007 — Guangzhou University, School of Mathematics and Information Science, Guangdong, China
- Li Wan 0008 — Fudan University, State Key Laboratory of Integrated Chips and Systems, State Key Laboratory of ASIC and System, Shanghai, China (and 1 more)
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2020 – today
- 2024
[i1]Li Wan, Tansu Alpcan, Margreta Kuijper, Emanuele Viterbo:
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression. CoRR abs/2405.01584 (2024)- 2022
- [b1]Li Wan:
Information Theory and Machine Learning: A Coding Approach. University of Melbourne, Parkville, Victoria, Australia, 2022 - [c2]Li Wan, Tansu Alpcan, Emanuele Viterbo, Margreta Kuijper:
Efficient Error-correcting Output Codes for Adversarial Learning Robustness. ICC 2022: 2345-2350 - 2020
- [c1]Li Wan, Tansu Alpcan, Margreta Kuijper:
Interpretable Dictionary Learning Using Information Theory. GLOBECOM 2020: 1-6
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last updated on 2024-10-13 18:02 CEST by the dblp team
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