Shutong Wu

According to our database, Shutong Wu authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models.

Shutong Wu, Jiawei Zhang

CoRR, October, 2025

VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data.

Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

WIPI: A New Web Threat for LLM-Driven Web Agents.

Fangzhou Wu, Shutong Wu, Yulong Cao, Chaowei Xiao

CoRR, 2024

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation.

Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Z. Morley Mao, Chaowei Xiao, Atul Prakash

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Weighted neural tangent kernel: a generalized and improved network-induced kernel.

Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang

Mach. Learn., 2023

DiffusionPhase: Motion Diffusion in Frequency Domain.

Weilin Wan, Yiming Huang, Shutong Wu, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu

CoRR, 2023

Defending against Adversarial Audio via Diffusion Model.

Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks.

Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel.

Lei Tan, Shutong Wu, Xiaolin Huang

CoRR, 2021