| Fake news detection on social media: A data mining perspective K Shu, A Sliva, S Wang, J Tang, H Liu ACM SIGKDD explorations newsletter 19 (1), 22-36, 2017 | 3883 | 2017 |
| Feature selection: A data perspective J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu ACM computing surveys (CSUR) 50 (6), 1-45, 2017 | 3500 | 2017 |
| Graph neural networks for social recommendation W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin The world wide web conference, 417-426, 2019 | 2133 | 2019 |
| Feature selection for classification: A review J Tang, S Alelyani, H Liu Data classification: Algorithms and applications, 37, 2014 | 1910 | 2014 |
| A survey on dialogue systems: Recent advances and new frontiers H Chen, X Liu, D Yin, J Tang Acm Sigkdd Explorations Newsletter 19 (2), 25-35, 2017 | 936 | 2017 |
| Adversarial attacks and defenses in images, graphs and text: A review H Xu, Y Ma, HC Liu, D Deb, H Liu, JL Tang, AK Jain International journal of automation and computing 17, 151-178, 2020 | 782 | 2020 |
| Heterogeneous network embedding via deep architectures S Chang, W Han, J Tang, GJ Qi, CC Aggarwal, TS Huang Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 713 | 2015 |
| Graph structure learning for robust graph neural networks W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 678 | 2020 |
| Social recommendation: a review J Tang, X Hu, H Liu Social Network Analysis and Mining 3, 1113-1133, 2013 | 634 | 2013 |
| Exploring temporal effects for location recommendation on location-based social networks H Gao, J Tang, X Hu, H Liu Proceedings of the 7th ACM conference on Recommender systems, 93-100, 2013 | 633 | 2013 |
| Traffic flow prediction via spatial temporal graph neural network X Wang, Y Ma, Y Wang, W Jin, X Wang, J Tang, C Jia, J Yu Proceedings of the web conference 2020, 1082-1092, 2020 | 560 | 2020 |
| Feature Selection for Clustering: A Review. S Alelyani, J Tang, H Liu Data Clustering: Algorithms and Applications 29, 110-121, 2013 | 547* | 2013 |
| mTrust: Discerning multi-faceted trust in a connected world J Tang, H Gao, H Liu Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 538* | 2012 |
| Unsupervised sentiment analysis with emotional signals X Hu, J Tang, H Gao, H Liu Proceedings of the 22nd international conference on World Wide Web, 607-618, 2013 | 513 | 2013 |
| Exploiting social relations for sentiment analysis in microblogging X Hu, L Tang, J Tang, H Liu Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 450 | 2013 |
| Deep reinforcement learning for page-wise recommendations X Zhao, L Xia, L Zhang, Z Ding, D Yin, J Tang Proceedings of the 12th ACM Conference on Recommender Systems, 95-103, 2018 | 426 | 2018 |
| Xgnn: Towards model-level explanations of graph neural networks H Yuan, J Tang, X Hu, S Ji Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 415 | 2020 |
| Attributed network embedding for learning in a dynamic environment J Li, H Dani, X Hu, J Tang, Y Chang, H Liu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 410 | 2017 |
| Recommendations with negative feedback via pairwise deep reinforcement learning X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 404 | 2018 |
| Content-aware point of interest recommendation on location-based social networks H Gao, J Tang, X Hu, H Liu Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 397 | 2015 |
Huan LiuRegents Professor, Arizona State Universityasu.edu의 이메일 확인됨
