| A Survey on Deep Hashing Methods X Luo, H Wang, D Wu, C Chen, M Deng, J Huang, XS Hua ACM Transactions on Knowledge Discovery from Data 17 (1), 1-50, 2023 | 158 | 2023 |
| Zerowall: Detecting zero-day web attacks through encoder-decoder recurrent neural networks R Tang, Z Yang, Z Li, W Meng, H Wang, Q Li, Y Sun, D Pei, T Wei, Y Xu, ... IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2479-2488, 2020 | 78 | 2020 |
| Visual tuning BXB Yu, J Chang, H Wang, L Liu, S Wang, Z Wang, J Lin, L Xie, H Li, ... ACM Computing Surveys, 2024 | 22 | 2024 |
| Parameter-efficient Tuning of Large-scale Multimodal Foundation Model H Wang, X Yang, J Chang, D Jin, J Sun, S Zhang, X Luo, Q Tian Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 21* | 2023 |
| Pastnet: Introducing physical inductive biases for spatio-temporal video prediction H Wu, W Xiong, F Xu, X Luo, C Chen, XS Hua, H Wang ACM MM 2024, 2023 | 21 | 2023 |
| LION: Implicit Vision Prompt Tuning H Wang, J Chang, X Luo, J Sun, Z Lin, Q Tian The 38th Annual AAAI Conference on Artificial Intelligence, 2023 | 13 | 2023 |
| Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework H Wang, T Zhang, M Yu, J Sun, W Ye, C Wang, S Zhang ECCV 2020, 446-462, 2020 | 11 | 2020 |
| Toward effective domain adaptive retrieval H Wang, J Sun, X Luo, W Xiang, S Zhang, C Chen, XS Hua IEEE Transactions on Image Processing 32, 1285-1299, 2023 | 10 | 2023 |
| Care: Modeling interacting dynamics under temporal environmental variation X Luo, H Wang, Z Huang, H Jiang, A Gangan, S Jiang, Y Sun Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Heart: Towards effective hash codes under label noise J Sun, H Wang, X Luo, S Zhang, W Xiang, C Chen, XS Hua Proceedings of the 30th ACM International Conference on Multimedia, 366-375, 2022 | 7 | 2022 |
| Dance: Learning a domain adaptive framework for deep hashing H Wang, J Sun, X Wei, S Zhang, C Chen, XS Hua, X Luo Proceedings of the ACM Web Conference 2023, 3319-3330, 2023 | 5 | 2023 |
| Idea: An invariant perspective for efficient domain adaptive image retrieval H Wang, H Wu, J Sun, S Zhang, C Chen, XS Hua, X Luo Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Spatio-temporal twins with a cache for modeling long-term system dynamics H Wu, K Wang, F Xu, Y Li, X Wang, W Wang, H Wang, X Luo | 3 | 2023 |
| Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval X Yang, H Wang, J Sun, S Zhang, C Chen, XS Hua, X Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| A Survey of Generative Techniques for Spatial-Temporal Data Mining Q Zhang, H Wang, C Long, L Su, X He, J Chang, T Wu, H Yin, SM Yiu, ... arXiv preprint arXiv:2405.09592, 2024 | 2 | 2024 |
| Dior: Learning to hash with label noise via dual partition and contrastive learning H Wang, H Jiang, J Sun, S Zhang, C Chen, XS Hua, X Luo IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| BENO: Boundary-embedded Neural Operators for Elliptic PDEs H Wang, J Li, A Dwivedi, K Hara, T Wu ICLR2024, 2024 | 1 | 2024 |
| Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey H Wang, Y Cao, Z Huang, Y Liu, P Hu, X Luo, Z Song, W Zhao, J Liu, ... arXiv preprint arXiv:2408.12171, 2024 | | 2024 |
| ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing X Yang, H Wang, J Sun, Y Xiao, X Wei, C Chen, XS Hua, X Luo IEEE Transactions on Information Forensics and Security, 2024 | | 2024 |
| Look into Gradients: Learning Compact Hash Codes for Out-of-distribution Retrieval H Wang, X Yang, J Sun, S Zhang, C Chen, XS Hua, X Luo IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Xiao LuoUCLAVerified email at cs.ucla.edu
