Haotao Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Tampering Detection

Machine Learning

Confusion Matrices

Visual Recognition

Top Venues

Publications

Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Safe and Robust Watermark Injection with a Single OoD Image. ICLR (2024)
Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
Troubleshooting image segmentation models with human-in-the-loop. Mach. Learn. 112 (3) (2023)
Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. CoRR (2023)
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Safe and Robust Watermark Injection with a Single OoD Image. CoRR (2023)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. AAAI (2023)
Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS (2023)
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Trans. Mach. Learn. Res. 2023 (2023)
Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. ICLR (2023)
Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa
Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. 55 (8) (2023)
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
Removing Batch Normalization Boosts Adversarial Training. ICML (2022)
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. CoRR (2022)
Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR (2022)
Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, Zhangyang Wang
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. CoRR (2022)
Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM (2022)
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. CoRR (2022)
Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML (2022)
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS (2022)
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
Removing Batch Normalization Boosts Adversarial Training. CoRR (2022)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. ICLR (2022)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Learning Model-Based Privacy Protection under Budget Constraints. AAAI (2021)
Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning. CoRR (2021)
Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
Troubleshooting Blind Image Quality Models in the Wild. CoRR (2021)
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR (2021)
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa
Practical Machine Learning Safety: A Survey and Primer. CoRR (2021)
Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu
UMEC: Unified model and embedding compression for efficient recommendation systems. ICLR (2021)
Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
Troubleshooting Blind Image Quality Models in the Wild. CVPR (2021)
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS (2021)
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. CoRR (2020)
Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. CoRR (2020)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework. CoRR (2020)
Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. ICLR (2020)
Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. CoRR (2020)
Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang
GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. ECCV (4) (2020)
Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. CoRR (2020)
Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML (2020)
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free. NeurIPS (2020)
Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. ICLR (2020)
Haotao Wang, Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin
Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset. CoRR (2019)
Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu
Model Compression with Adversarial Robustness: A Unified Optimization Framework. NeurIPS (2019)
Yanlong Li, Nan Hua, Chen Zhao, Haotao Wang, Ruijie Luo, Xiaoping Zheng
Real-Time Rogue ONU Identification with 1D-CNN-Based Optical Spectrum Analysis for Secure PON. OFC (2019)
Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu
Adversarially Trained Model Compression: When Robustness Meets Efficiency. CoRR (2019)