Distributionally Robust Learning for Unsupervised Domain Adaptation. - Haoxuan Wang 002; Anqi Liu; Zhiding Yu; Yisong Yue; Anima Anandkumar (CoRR, 2020)

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. - Haoxuan Wang 002; Junchi Yan (CoRR, 2022)

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. - Haoxuan Wang 002; Zhiding Yu; Yisong Yue; Animashree Anandkumar; Anqi Liu; Junchi Yan (IJCAI, 2023)

PTQ4DiT: Post-training Quantization for Diffusion Transformers. - Junyi Wu 002; Haoxuan Wang 002; Yuzhang Shang; Mubarak Shah; Yan Yan 002 (NeurIPS, 2024)

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. - Haoxuan Wang 002; Yuzhang Shang; Zhihang Yuan; Junyi Wu 002; Yan Yan 002 (CoRR, 2024)

Distilling Long-tailed Datasets. - Zhenghao Zhao; Haoxuan Wang 002; Yuzhang Shang; Kai Wang; Yan Yan 002 (CVPR, 2025)

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction. - Feiran Wang; Jiachen Tao; Junyi Wu 002; Haoxuan Wang 002; Bin Duan; Kai Wang; Zongxin Yang; Yan Yan 002 (CoRR, 2025)

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation. - Haoxuan Wang 002; Zhenghao Zhao; Junyi Wu 002; Yuzhang Shang; Gaowen Liu; Yan Yan 002 (CoRR, 2025)