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 |