Wang, Haoxiang

19 publications

ICML 2025 Active Treatment Effect Estimation via Limited Samples Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin

CVPR 2025 ImViD: Immersive Volumetric Videos for Enhanced VR Engagement Zhengxian Yang, Shi Pan, Shengqi Wang, Haoxiang Wang, Li Lin, Guanjun Li, Zhengqi Wen, Borong Lin, Jianhua Tao, Tao Yu

ICLR 2025 Neural Fluid Simulation on Geometric Surfaces Haoxiang Wang, Tao Yu, Hui Qiao, Qionghai Dai

NeurIPS 2025 Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang

TMLR 2024 Asynchronous Training Schemes in Distributed Learning with Time Delay Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

TMLR 2024 Enhancing Compositional Generalization via Compositional Feature Alignment Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao

JMLR 2024 Gradual Domain Adaptation: Theory and Algorithms Yifei He, Haoxiang Wang, Bo Li, Han Zhao

AAAI 2024 Neural Physical Simulation with Multi-Resolution Hash Grid Encoding Haoxiang Wang, Tao Yu, Tianwei Yang, Hui Qiao, Qionghai Dai

TMLR 2024 RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

CVPRW 2024 SAM-CLIP: Merging Vision Foundation Models Towards Semantic and Spatial Understanding Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari

NeurIPSW 2023 A Predicting Clipping Asynchronous Stochastic Gradient Descent Method in Distributed Learning Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

NeurIPSW 2023 SAM-CLIP: Merging Vision Foundation Models Towards Semantic and Spatial Understanding Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari

UAI 2022 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu

CVPR 2022 Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li

NeurIPSW 2022 Invariant Feature Subspace Recovery for Multi-Class Classification Gargi Balasubramaniam, Haoxiang Wang, Han Zhao

ICML 2022 Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao

ICML 2022 Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond Haoxiang Wang, Bo Li, Han Zhao

ICML 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang, Han Zhao, Bo Li

NeurIPS 2019 Learning Positive Functions with Pseudo Mirror Descent Yingxiang Yang, Haoxiang Wang, Negar Kiyavash, Niao He