Haotao Wang

According to our database, Haotao Wang authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Safe and Robust Watermark Injection with a Single OoD Image.

Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Troubleshooting image segmentation models with human-in-the-loop.

Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

Mach. Learn., March, 2023

How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.

Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang

Trans. Mach. Learn. Res., 2023

Taxonomy of Machine Learning Safety: A Survey and Primer.

Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa

ACM Comput. Surv., 2023

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.

Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang

CoRR, 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 Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning.

Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset.

Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, Zhangyang Wang

IEEE Trans. Pattern Anal. Mach. Intell., 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 2022

Removing Batch Normalization Boosts Adversarial Training.

Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.

Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.

Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning.

Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

CoRR, 2021

Practical Machine Learning Safety: A Survey and Primer.

Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa

CoRR, 2021

AugMax: Adversarial Composition of Random Augmentations for Robust Training.

Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UMEC: Unified model and embedding compression for efficient recommendation systems.

Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Troubleshooting Blind Image Quality Models in the Wild.

Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Model-Based Privacy Protection under Budget Constraints.

Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.

Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.

Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.

Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

Proceedings of the 8th International Conference on Learning Representations, 2020

Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.

Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework.

Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset.

Haotao Wang, Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin

CoRR, 2019

Adversarially Trained Model Compression: When Robustness Meets Efficiency.

Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu

CoRR, 2019

Real-Time Rogue ONU Identification with 1D-CNN-Based Optical Spectrum Analysis for Secure PON.

Yanlong Li, Nan Hua, Chen Zhao, Haotao Wang, Ruijie Luo, Xiaoping Zheng

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Model Compression with Adversarial Robustness: A Unified Optimization Framework.

Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019