Haoxuan Wang

According to our database, Haoxuan Wang authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

CaO₂: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation.

Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan

CoRR, June, 2025

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction.

Feiran Wang, Jiachen Tao, Junyi Wu, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan

CoRR, March, 2025

Distilling Long-tailed Datasets.

Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan

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

2024

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning.

Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Yan Yan

CoRR, 2024

PTQ4DiT: Post-training Quantization for Diffusion Transformers.

Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan

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

2023

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.

Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach.

Haoxuan Wang, Junchi Yan

CoRR, 2022

2020

Distributionally Robust Learning for Unsupervised Domain Adaptation.

Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar

CoRR, 2020