| Learning placeholders for open-set recognition DW Zhou, HJ Ye, DC Zhan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 101 | 2021 |
| Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing D Zhou, J Luo, V Silenzio, Y Zhou, J Hu, G Currier, H Kautz The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-2015), 2015 | 73 | 2015 |
| A local algorithm for structure-preserving graph cut D Zhou, S Zhang, MY Yildirim, S Alcorn, H Tong, H Davulcu, J He Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 67 | 2017 |
| A data-driven graph generative model for temporal interaction networks D Zhou, L Zheng, J Han, J He Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 64 | 2020 |
| SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization D Zhou, J He, H Yang, W Fan Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 56 | 2018 |
| Forward compatible few-shot class-incremental learning DW Zhou, FY Wang, HJ Ye, L Ma, S Pu, DC Zhan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 47 | 2022 |
| Adaptive deep models for incremental learning: Considering capacity scalability and sustainability Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 46 | 2019 |
| Hidden: hierarchical dense subgraph detection with application to financial fraud detection S Zhang, D Zhou, MY Yildirim, S Alcorn, J He, H Davulcu, H Tong Proceedings of the 2017 SIAM International Conference on Data Mining, 570-578, 2017 | 44 | 2017 |
| MUVIR: Multi-View Rare Category Detection D Zhou, J He, KS Candan, H Davulcu The 24th International Joint Conference on Artificial Intelligence (IJCAI-15), 2015 | 42 | 2015 |
| Misc-GAN: A multi-scale generative model for graphs D Zhou, L Zheng, J Xu, J He Frontiers in big Data 2, 3, 2019 | 36 | 2019 |
| Foster: Feature boosting and compression for class-incremental learning FY Wang, DW Zhou, HJ Ye, DC Zhan Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 33 | 2022 |
| Rare Category Detection on Time-Evolving Graphs D Zhou, K Wang, N Cao, J He IEEE International Conference on Data Mining (ICDM2015), 2015 | 32 | 2015 |
| Local motif clustering on time-evolving graphs D Fu, D Zhou, J He Proceedings of the 26th ACM SIGKDD International conference on knowledge …, 2020 | 31 | 2020 |
| Domain adaptive multi-modality neural attention network for financial forecasting D Zhou, L Zheng, Y Zhu, J Li, J He Proceedings of The Web Conference 2020, 2230-2240, 2020 | 29 | 2020 |
| Co-transport for class-incremental learning DW Zhou, HJ Ye, DC Zhan Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021 | 24 | 2021 |
| Learning to classify with incremental new class DW Zhou, Y Yang, DC Zhan IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2429-2443, 2021 | 23 | 2021 |
| Few-shot class-incremental learning by sampling multi-phase tasks DW Zhou, HJ Ye, L Ma, D Xie, S Pu, DC Zhan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 21 | 2022 |
| REACH^2-Mote: A Range Extending Passive Wake-up Wireless Sensor Node L Chen, J Warner, PL Yung, D Zhou, W Heinzelman, L Demirkol, ... ACM Transactions on Sensor Networks, Vol. V, No. N, Article A,, 2015 | 20 | 2015 |
| Bi-level Rare Temporal Pattern Detection D Zhou, J He, Y Cao, J Seo IEEE International Conference on Data Mining series (ICDM2016), 2016 | 18 | 2016 |
| Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk Z Liu, D Zhou, Y Zhu, J Gu, J He Proceedings of the thirty-fourth AAAI Conference on Artificial Intelligence …, 2020 | 17 | 2020 |
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
