Shangyuan Tong

According to our database, Shangyuan Tong authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Nanye Ma, Shangyuan Tong, Haolin Jia, Hexiang Hu, Yu-Chuan Su, Mingda Zhang, Xuan Yang, Yandong Li, Tommi S. Jaakkola, Xuhui Jia, Saining Xie

CoRR, January, 2025

Scaling Inference Time Compute for Diffusion Models.

Nanye Ma, Shangyuan Tong, Haolin Jia, Hexiang Hu, Yu-Chuan Su, Mingda Zhang, Xuan Yang, Yandong Li, Tommi S. Jaakkola, Xuhui Jia, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023

PFGM++: Unlocking the Potential of Physics-Inspired Generative Models.

Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola

Proceedings of the International Conference on Machine Learning, 2023

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models.

Yilun Xu, Shangyuan Tong, Tommi S. Jaakkola

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Adversarial Support Alignment.

Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

The Benefits of Pairwise Discriminators for Adversarial Training.

Shangyuan Tong, Timur Garipov, Tommi S. Jaakkola

CoRR, 2020

2019

"Unobserved Corner" Prediction: Reducing Timing Analysis Effort for Faster Design Convergence in Advanced-Node Design.

Andrew B. Kahng, Uday Mallappa, Lawrence K. Saul, Shangyuan Tong

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019