Wang, Haotao

20 publications

ICLR 2024 Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou

AAAI 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

NeurIPS 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang

TMLR 2023 How Robust Is Your Fairness? Evaluating and Sustaining Fairness Under Unseen Distribution Shifts Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang

MLJ 2023 Troubleshooting Image Segmentation Models with Human-in-the-Loop Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

ICLR 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

ICLR 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

ICML 2022 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J Smola, Zhangyang Wang

ICML 2022 Removing Batch Normalization Boosts Adversarial Training Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

NeurIPS 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang

NeurIPS 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

AAAI 2021 Learning Model-Based Privacy Protection Under Budget Constraints Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

CVPR 2021 Troubleshooting Blind Image Quality Models in the Wild Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

ICLR 2021 UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu

ICML 2020 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

ECCV 2020 GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang

ICLR 2020 I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

NeurIPS 2020 Once-for-All Adversarial Training: In-Situ Tradeoff Between Robustness and Accuracy for Free Haotao Wang, Tianlong Chen, Shupeng Gui, TingKuei Hu, Ji Liu, Zhangyang Wang

ICLR 2020 Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang

NeurIPS 2019 Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu