Yongtao Wu

According to our database, Yongtao Wu authored at least 16 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hadamard Product in Deep Learning: Introduction, Advances and Challenges.

Grigorios G. Chrysos, Yongtao Wu, Razvan Pascanu, Philip H. S. Torr, Volkan Cevher

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

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

CoRR, June, 2025

Robustness in Both Domains: CLIP Needs a Robust Text Encoder.

Elías Abad-Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher

CoRR, June, 2025

Linear Attention for Efficient Bidirectional Sequence Modeling.

Arshia Afzal, Elías Abad-Rocamora, Leyla Naz Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher

CoRR, February, 2025

Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees.

Yongtao Wu, Luca Viano, Yihang Chen, Zhenyu Zhu, Kimon Antonakopoulos, Quanquan Gu, Volkan Cevher

CoRR, February, 2025

Single-pass Detection of Jailbreaking Input in Large Language Models.

Leyla Naz Candogan, Yongtao Wu, Elías Abad-Rocamora, Grigorios Chrysos, Volkan Cevher

Trans. Mach. Learn. Res., 2025

Quantum-PEFT: Ultra parameter-efficient fine-tuning.

Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Intelligent analysis method for the global vertical displacement field of foundation pits in dense karst cave areas.

Jin Liao, Chunxiu Lin, Chunhui Lan, Yongtao Wu, Zhen Liu, Cuiying Zhou

Eng. Appl. Artif. Intell., 2024

Revisiting character-level adversarial attacks.

Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher

CoRR, 2024

Membership Inference Attacks against Large Vision-Language Models.

Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elías Abad-Rocamora, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Universal Gradient Methods for Stochastic Convex Optimization.

Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Character-level Adversarial Attacks for Language Models.

Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust NAS under adversarial training: benchmark, theory, and beyond.

Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Convergence of Encoder-only Shallow Transformers.

Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adversarial Audio Synthesis with Complex-valued Polynomial Networks.

Yongtao Wu, Grigorios G. Chrysos, Volkan Cevher

CoRR, 2022

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study.

Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022