Wang, Haoxuan

13 publications

ICCV 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
CVPR 2025 Distilling Long-Tailed Datasets Zhenghao Zhao, Haoxuan Wang, Yuzhang Shang, Kai Wang, Yan Yan
CVPR 2025 Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang
NeurIPS 2025 Efficient Multimodal Dataset Distillation via Generative Models Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
ICCV 2025 I2-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting Zhimin Liao, Ping Wei, Ruijie Zhang, Shuaijia Chen, Haoxuan Wang, Ziyang Ren
CVPR 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration Yuxuan Gu, Haoxuan Wang, Pengyang Ling, Zhixiang Wei, Huaian Chen, Yi Jin, Enhong Chen
NeurIPS 2025 Orientation-Anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
ICCV 2025 QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan
CVPR 2025 STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction Zhimin Liao, Ping Wei, Shuaijia Chen, Haoxuan Wang, Ziyang Ren
ICCV 2025 UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer Haoxuan Wang, Jinlong Peng, Qingdong He, Hao Yang, Ying Jin, Jiafu Wu, Xiaobin Hu, Yanjie Pan, Zhenye Gan, Mingmin Chi, Bo Peng, Yabiao Wang
NeurIPS 2025 X-Field: A Physically Informed Representation for 3D X-Ray Reconstruction Feiran Wang, Jiachen Tao, Junyi Wu, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan
NeurIPS 2024 PTQ4DiT: Post-Training Quantization for Diffusion Transformers Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
IJCAI 2023 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan