菠菜平台-十大菠菜平台
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 (optimization, generalization, and training dynamics)
Trustworthy large language models (robustness, safety, and privacy)
From Spectral to Frobenius: When Muon Loses Its Spectral Implicit Bias
Yongtao Wu, Mahdi Mansouri, Zhenyu Zhu
arXiv preprint , 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, 2026
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, 2025
Machine learning-aided hysteretic response prediction of double skin composite wall under earthquake loads
Shiye Wang, Wei Wang, Yongtao Wu, Zhiyang Xie, Yuqing Gao
Journal of Building Engineering, 2025
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, 2025
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, 2025
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, 2025
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, 2025
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, 2024
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, 2024
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, 2024
Universal Gradient Methods for Stochastic Convex Optimization
Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher
International Conference on Machine Learning, 2024
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, 2024
On the Convergence of Encoder-only Shallow Transformers
Yongtao Wu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher
Conference on Neural Information Processing Systems, 2023
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, 2022
Conference Reviewer：Conference on Neural Information Processing Systems (NeurIPS), International Conference on Learning Representations (ICLR), International Conference on Machine Learning (ICML), International Conference on Artificial Intelligence and Statistics (AISTATS)
Journal Reviewer：International Journal of Computer Vision (IJCV), Transactions on Machine Learning Research (TMLR), Annals of the Institute of Statistical Mathematics (AISM)
Email: yongtaowu@ruc.edu.cn