Haotao Wang - RankMe

42 papers A* 17A 1Journal 22Unranked 2

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