| T-gcn: A temporal graph convolutional network for traffic prediction L Zhao, Y Song, C Zhang, Y Liu, P Wang, T Lin, M Deng, H Li IEEE transactions on intelligent transportation systems 21 (9), 3848-3858, 2019 | 2085 | 2019 |
| Deepmove: Predicting human mobility with attentional recurrent networks J Feng, Y Li, C Zhang, F Sun, F Meng, A Guo, D Jin Proceedings of the 2018 world wide web conference, 1459-1468, 2018 | 621 | 2018 |
| Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation C Yang, L Bai, C Zhang, Q Yuan, J Han Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 357 | 2017 |
| Bond: Bert-assisted open-domain named entity recognition with distant supervision C Liang, Y Yu, H Jiang, S Er, R Wang, T Zhao, C Zhang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 257 | 2020 |
| Serm: A recurrent model for next location prediction in semantic trajectories D Yao, C Zhang, J Huang, J Bi Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 212 | 2017 |
| Weakly-supervised neural text classification Y Meng, J Shen, C Zhang, J Han proceedings of the 27th ACM International Conference on information and …, 2018 | 211 | 2018 |
| Text classification using label names only: A language model self-training approach Y Meng, Y Zhang, J Huang, C Xiong, H Ji, C Zhang, J Han arXiv preprint arXiv:2010.07245, 2020 | 206 | 2020 |
| STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream W Feng, C Zhang, W Zhang, J Han, J Wang, C Aggarwal, J Huang 2015 IEEE 31st international conference on data engineering, 1561-1572, 2015 | 198 | 2015 |
| Trajectory clustering via deep representation learning D Yao, C Zhang, Z Zhu, J Huang, J Bi 2017 international joint conference on neural networks (IJCNN), 3880-3887, 2017 | 197 | 2017 |
| Gmove: Group-level mobility modeling using geo-tagged social media C Zhang, K Zhang, Q Yuan, L Zhang, T Hanratty, J Han Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 188 | 2016 |
| Splitter: Mining fine-grained sequential patterns in semantic trajectories C Zhang, J Han, L Shou, J Lu, T La Porta Proceedings of the VLDB Endowment 7 (9), 769-780, 2014 | 185 | 2014 |
| Geoburst: Real-time local event detection in geo-tagged tweet streams C Zhang, G Zhou, Q Yuan, H Zhuang, Y Zheng, L Kaplan, S Wang, J Han Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 183 | 2016 |
| PD-L1 (B7-H1) competes with the RNA exosome to regulate the DNA damage response and can be targeted to sensitize to radiation or chemotherapy X Tu, B Qin, Y Zhang, C Zhang, M Kahila, S Nowsheen, P Yin, J Yuan, ... Molecular cell 74 (6), 1215-1226. e4, 2019 | 180 | 2019 |
| Regions, periods, activities: Uncovering urban dynamics via cross-modal representation learning C Zhang, K Zhang, Q Yuan, H Peng, Y Zheng, T Hanratty, S Wang, J Han Proceedings of the 26th International Conference on World Wide Web, 361-370, 2017 | 165 | 2017 |
| Deep learning for the internet of things S Yao, Y Zhao, A Zhang, S Hu, H Shao, C Zhang, L Su, T Abdelzaher Computer 51 (5), 32-41, 2018 | 156 | 2018 |
| Triovecevent: Embedding-based online local event detection in geo-tagged tweet streams C Zhang, L Liu, D Lei, Q Yuan, H Zhuang, T Hanratty, J Han Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 148 | 2017 |
| Weakly-supervised hierarchical text classification Y Meng, J Shen, C Zhang, J Han Proceedings of the AAAI conference on artificial intelligence 33 (01), 6826-6833, 2019 | 146 | 2019 |
| Easing embedding learning by comprehensive transcription of heterogeneous information networks Y Shi, Q Zhu, F Guo, C Zhang, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 145 | 2018 |
| Spherical text embedding Y Meng, J Huang, G Wang, C Zhang, H Zhuang, L Kaplan, J Han Advances in neural information processing systems 32, 2019 | 125 | 2019 |
| Fine-tuning pre-trained language model with weak supervision: A contrastive-regularized self-training approach Y Yu, S Zuo, H Jiang, W Ren, T Zhao, C Zhang arXiv preprint arXiv:2010.07835, 2020 | 114 | 2020 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinois在 cs.uiuc.edu 的电子邮件经过验证
