Wu, Shang

8 publications

NeurIPS 2025 High-Order Flow Matching: Unified Framework and Sharp Statistical Rates Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee, Ning Zhu, Jui-Hui Chung, Shang Wu, Zhao Song, Minshuo Chen, Han Liu

ICMLW 2024 Fast Adaptation and Robust Quantization of Multi-Modal Foundation Models from Associative Memory: A Case Study in SpeechLM Shang Wu, Yen-Ju Lu, Haozheng Luo, Jerry Yao-Chieh Hu, Jiayi Wang, Najim Dehak, Jesus Villalba, Han Liu

CVPR 2023 Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning Zhongzhi Yu, Shang Wu, Yonggan Fu, Shunyao Zhang, Yingyan Lin

ICML 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields Against Adversarial Perturbations Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin

TMLR 2022 Max-Affine Spline Insights into Deep Network Pruning Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard Baraniuk

ICLR 2022 Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin

NeurIPS 2021 Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found Within Randomly Initialized Networks Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

JMLR 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms Yazhen Wang, Shang Wu