| 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 (TKDD), 2023 | 136 | 2023 |
| Graph Contrastive Clustering H Zhong*, J Wu*, C Chen^, J Huang, M Deng, L Nie, Z Lin, XS Hua Proceedings of the International Conference on Computer Vision (ICCV), 2021 | 102 | 2021 |
| Differential network analysis via lasso penalized D-trace loss H Yuan, R Xi, C Chen, M Deng Biometrika 104 (4), 755-770, 2017 | 79 | 2017 |
| Deep robust clustering by contrastive learning H Zhong, C Chen^, Z Jin, XS Hua arXiv preprint arXiv:2008.03030, 2020 | 72 | 2020 |
| scRMD: imputation for single cell RNA-seq data via robust matrix decomposition C Chen, C Wu, L Wu, X Wang, M Deng, R Xi Bioinformatics 36 (10), 3156-3161, 2020 | 53 | 2020 |
| Dualgraph: Improving semi-supervised graph classification via dual contrastive learning X Luo, W Ju, M Qu, C Chen, M Deng, XS Hua, M Zhang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 699-712, 2022 | 41 | 2022 |
| Clear: Cluster-enhanced contrast for self-supervised graph representation learning X Luo, W Ju, M Qu, Y Gu, C Chen, M Deng, XS Hua, M Zhang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 36 | 2022 |
| Cimon: Towards high-quality hash codes X Luo*, D Wu*, Z Ma, C Chen^, H Zhong, M Deng^, J Huang, X Hua Proceedings of the Thirtieth International Joint Conference on Artificial …, 2020 | 36 | 2020 |
| TGNN: A Joint Semi-supervised Framework for Graph-level Classification W Ju, X Luo, M Qu, Y Wang, C Chen, M Deng, XS Hua, M Zhang Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 31 | 2022 |
| A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing X Luo, D Wu, Z Ma, C Chen^, M Deng^, J Huang, XS Hua Proceedings of the 29th ACM International Conference on Multimedia, 4306-4314, 2021 | 28 | 2021 |
| Dynamic hypergraph convolutional network N Yin, F Feng, Z Luo, X Zhang, W Wang, X Luo, C Chen, XS Hua 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1621-1634, 2022 | 25 | 2022 |
| Deal: An unsupervised domain adaptive framework for graph-level classification N Yin, L Shen, B Li, M Wang, X Luo, C Chen, Z Luo, XS Hua Proceedings of the 30th ACM International Conference on Multimedia, 3470-3479, 2022 | 23 | 2022 |
| Dynamic hypergraph structure learning for traffic flow forecasting Y Zhao, X Luo, W Ju, C Chen, XS Hua, M Zhang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2303-2316, 2023 | 22 | 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 arXiv preprint arXiv:2305.11421, 2023 | 16 | 2023 |
| CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification N Yin, L Shen, M Wang, L Lan, Z Ma, C Chen, XS Hua, X Luo ICML2023, 2023 | 15 | 2023 |
| Improved deep unsupervised hashing via prototypical learning Z Ma, W Ju, X Luo, C Chen, XS Hua, G Lu Proceedings of the 30th ACM International Conference on Multimedia, 659-667, 2022 | 14 | 2022 |
| Messages are never propagated alone: Collaborative hypergraph neural network for time-series forecasting N Yin, L Shen, H Xiong, B Gu, C Chen, XS Hua, S Liu, X Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 13 | 2023 |
| Deep unsupervised hashing by global and local consistency X Luo, D Wu, C Chen, J Ma, M Deng 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 12 | 2021 |
| A survey on dropout methods and experimental verification in recommendation Y Li, W Ma, C Chen, M Zhang, Y Liu, S Ma, Y Yang IEEE Transactions on Knowledge and Data Engineering, 2022 | 11 | 2022 |
| On Mitigating Hard Clusters for Face Clustering Y Chen, H Zhong, C Chen^, C Shen, J Huang, T Wang, Y Liang, Q Sun European Conference on Computer Vision (ECCV) 2022, 2022 | 10 | 2022 |
Xiao LuoUCLA在 cs.ucla.edu 的电子邮件经过验证
