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ORCIDChen Liu 0027
Person information
- unicode name: 刘晨
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Chen Liu — disambiguation page
- Chen Liu 0001
![[0000-0003-1558-6836]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1558-6836")
— Clarkson University, Department of Electrical and Computer Engineering, Potsdam, NY, USA (and 2 more) - Chen Liu 0002 — Northwest University, School of Information Science and Technology, Xi'an, China
- Chen Liu 0003 — Tianjin University, School of Electrical Engineering and Automation, China (and 1 more)
- Chen Liu 0004 — Zhengzhou University, School of Information Engineering, China
- Chen Liu 0005 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Chen Liu 0006 — Xiamen University, School of Information Science and Technology, Department of Communications Engineering, China
- Chen Liu 0007 — North China University of Technology, Institute of Data Engineering / Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data, China
- Chen Liu 0008 — Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA
- Chen Liu 0009 — A*STAR, Institute of Microelectronics, Singapore (and 1 more)
- Chen Liu 0010 — University of Bourgogne Franche-Comté, FEMTO-ST Institute, Belfort, France
- Chen Liu 0011 — Beijing University of Posts and Telecommunications, School of Software, Beijing, China
- Chen Liu 0012 — Washington University in St. Louis, USA
- Chen Liu 0013 — Intel Corporation, USA (and 1 more)
- Chen Liu 0014 — University of Alberta, Department of Computing Science, Edmonton, Canada
- Chen Liu 0015 — Rice University, Department of Computational and Applied Mathematics, Houston, TX, USA
- Chen Liu 0016 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Chen Liu 0017 — Shaanxi Normal University, School of Physics and Information Technology, Xi'an, China
- Chen Liu 0018 — Beijing Jiaotong University, School of Electrical Engineering, Beijing, China
- Chen Liu 0019 — Shanghai Jiao Tong University, AI Institute, China
- Chen Liu 0020 (aka: Chen Raphael Liu) — Columbia University, New York, NY, USA
- Chen Liu 0021 — Jiangnan University, School of Mechanical Engineering, Wuxi, China
- Chen Liu 0022 — RMIT University, School of Engineering, Melbourne, Australia
- Chen Liu 0023 — Beijing University of Chemical Technology, College of Information Science and Technology, China
- Chen Liu 0024 — Hebei Semiconductor Research Institute, Metrology Centre, Shijiazhuang, China
- Chen Liu 0025 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
- Chen Liu 0026 — Army Medical University, First Affiliated Hospital, Chongqing, China
- Chen Liu 0028 — Univerisity of Queensland, QLD, Australia
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Journal Articles
- 2023
[j2]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training With Adaptive Step Size. IEEE Trans. Image Process. 32: 6102-6114 (2023)- [j1]Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
Training Provably Robust Models by Polyhedral Envelope Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3146-3160 (2023)
Conference and Workshop Papers
- 2023
- [c5]Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk:
Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks. ICML 2023: 15089-15104 - 2022
- [c4]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. NeurIPS 2022 - 2020
- [c3]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. NeurIPS 2020 - 2019
- [c2]Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. ICML 2019: 2810-2819 - [c1]Chen Liu, Ryota Tomioka, Volkan Cevher:
On Certifying Non-Uniform Bounds against Adversarial Attacks. ICML 2019: 4072-4081
Informal and Other Publications
- 2024
- [i8]Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann:
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. CoRR abs/2407.08659 (2024) - 2022
- [i7]Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. CoRR abs/2202.01341 (2022) - [i6]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training with Adaptive Step Size. CoRR abs/2206.02417 (2022) - 2021
- [i5]Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk:
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. CoRR abs/2112.07324 (2021) - 2020
- [i4]Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk:
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them. CoRR abs/2006.08403 (2020) - 2019
- [i3]Chen Liu, Ryota Tomioka, Volkan Cevher:
On Certifying Non-uniform Bound against Adversarial Attacks. CoRR abs/1903.06603 (2019) - [i2]Chen Liu, Mathieu Salzmann, Sabine Süsstrunk:
On Certifying Robust Models by Polyhedral Envelope. CoRR abs/1912.04792 (2019) - 2018
- [i1]Ya-Ping Hsieh, Chen Liu, Volkan Cevher:
Finding Mixed Nash Equilibria of Generative Adversarial Networks. CoRR abs/1811.02002 (2018)
Coauthor Index
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