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Chao Zhang
Chao Zhang
Assistant Professor at College of Computing, Georgia Tech
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
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
21502019
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
6312018
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
3602017
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
2562020
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
2162017
Weakly-supervised neural text classification
Y Meng, J Shen, C Zhang, J Han
proceedings of the 27th ACM International Conference on information and …, 2018
2092018
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
2062020
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
1982017
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
1972015
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
1882019
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
1852016
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
1852014
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
1812016
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
1662017
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
1572018
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
1472017
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
1452018
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
1442019
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
1262019
Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach
D Yao, G Cong, C Zhang, J Bi
2019 IEEE 35th international conference on data engineering (ICDE), 1358-1369, 2019
1162019
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