Chen Liu
EPFL IC IINFCOM IVRL
BC 366 (Bâtiment BC)
Station 14
CH-1015 Lausanne
Web site: Web site: https://ivrl.epfl.ch/
Fields of expertise
Machine Learning
Deep Learning
Optimization
Deep Learning
Optimization
Biography
I am a PhD candidate at the School of Computer and Communication Sciences (IC), École Polytechnique Fédérale de Lausanne (EPFL), supervised by Prof. Sabine Süsstrunk and co-supervised by Dr. Mathieu Salzmann. Previously, I obtained my Master Degree from École Polytechnique Fédérale de Lausanne (EPFL) in 2017 and Bachelor Degree from Tsinghua University in 2015, both in Computer Science.
Publications
Selected publications
| Chen Liu, Mathieu Salzmann, Sabine Süsstrunk IEEE Transactions on Neural Networks and Learning Systems 2021 |
Training Provable Robust Models by Polyhedral Envelope Regularization |
| Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk Neural Information Processing Systems (NeurIPS) 2020 |
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them |
| Chen Liu, Ryota Tomioka, Volkan Cevher International Conference on Machine Learning (ICML) 2019 |
On Certifying Non-Uniform Bounds against Adversarial Attacks |
| Ya-Ping Hsieh, Chen Liu, Volkan Cevher International Conference on Machine Learning (ICML) 2019 |
Finding Mixed Nash Equilibria of Generative Adversarial Networks |