2022-2026 EPFL (Swiss Federal Institute of Technology Lausanne), Ph.D.
2020-2022 KTH Royal Institute of Technology, Master's Degree
2016-2020 Sun Yat-sen University, Bachelor's Degree
Machine Learning Theory
Neural Network Optimization and Training Dynamics
Trustworthy Machine Learning (Robustness, Security, and Privacy)
2026
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models
Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst
Transactions on Machine Learning Research
2025
Hadamard Product in Deep Learning: Introduction, Advances and Challenges
Grigorios Chrysos, Yongtao Wu, Razvan Pascanu, Philip Torr, Volkan Cevher
Transactions on Pattern Analysis and Machine Intelligence
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
Yongtao Wu (co-first author), Luca Viano，Yihang Chen, Zhenyu Zhu, Kimon Antonakopoulos, Quanquan Gu, Volkan Cevher
Transactions on Machine Learning Research
Quantum-PEFT: Ultra Parameter-efficient Fine-tuning
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Zhenqing Wu, Leyla Naz Candogan, Volkan Cevher
International Conference on Learning Representations
Robustness in Both Domains: CLIP Needs a Robust Text Encoder
Elias Abad Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher
Conference on Neural Information Processing Systems
Linear Attention for Efficient Bidirectional Sequence Modeling
Arshia Afzal, Elias Abad Rocamora, Leyla Naz Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher
Conference on Neural Information Processing Systems
2024
Robust NAS under Adversarial Training: Benchmark, Theory, and Beyond
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
International Conference on Learning Representations
Revisiting Character-level Adversarial Attacks for Language Models
Elias Abad Rocamora, Yongtao Wu (corresponding author), Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher
International Conference on Machine Learning
Membership Inference Attacks against Large Vision-Language Models
Zhan Li, Yongtao Wu (co-first author), Yihang Chen, Francesco Tonin, Elias Abad Rocamora, Volkan Cevher
Conference on Neural Information Processing Systems
Universal Gradient Methods for Stochastic Convex Optimization
Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher
International Conference on Machine Learning
Single-pass Detection of Jailbreaking Input in Large Language Models
Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora, Grigorios G. Chrysos, Volkan Cevher
Transactions on Machine Learning Research
2023
On the Convergence of Encoder-only Shallow Transformers
Yongtao Wu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher
Conference on Neural Information Processing Systems
2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher
Conference on Neural Information Processing Systems
Email: [email protected]