| 2024 | ICLR | Safe and Robust Watermark Injection with a Single OoD Image. | Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | AAAI | Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2023 | ICLR | 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 |
| 2022 | CIKM | AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. | Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang |
| 2022 | ICLR | Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2022 | ICML | Removing Batch Normalization Boosts Adversarial Training. | Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang |
| 2022 | ICML | 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 |
| 2021 | AAAI | Learning Model-Based Privacy Protection under Budget Constraints. | Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou |
| 2021 | CVPR | Troubleshooting Blind Image Quality Models in the Wild. | Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma |
| 2021 | ICLR | UMEC: Unified model and embedding compression for efficient recommendation systems. | Jiayi Shen, Haotao Wang, Shupeng Gui, Jianchao Tan, Zhangyang Wang, Ji Liu |
| 2020 | ECCV | GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. | Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang |
| 2020 | ICLR | Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference. | Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang |
| 2020 | ICLR | I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively. | Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma |
| 2020 | ICML | AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. | Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang |