| Fake news detection on social media: A data mining perspective K Shu, A Sliva, S Wang, J Tang, H Liu ACM SIGKDD explorations 19 (1), 22-36, 2017 | 4882 | 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 | 4542 | 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 | 2817 | 2019 |
| Feature selection for classification J Tang, S Alelyani, H Liu Data classification: Algorithms and applications, 37, 2014 | 2127 | 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 | 1067 | 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 (2), 151-178, 2020 | 975 | 2020 |
| 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 | 960 | 2020 |
| 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 | 773 | 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 | 737 | 2015 |
| Recommender systems in the era of large language models (llms) Z Zhao, W Fan, J Li, Y Liu, X Mei, Y Wang, Z Wen, F Wang, X Zhao, ... IEEE Transactions on Knowledge and Data Engineering 36 (11), 6889-6907, 2024 | 720 | 2024 |
| Social recommendation: a review J Tang, X Hu, H Liu Social network analysis and mining 3 (4), 1113-1133, 2013 | 689 | 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 | 651 | 2013 |
| Position: TrustLLM: Trustworthiness in Large Language Models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning, 20166-20270, 2024 | 647* | 2024 |
| Feature Selection for Clustering S Alelyani, J Tang, H Liu Data Clustering: Algorithms and Applications 29, 110-121, 2013 | 602* | 2013 |
| 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 | 571 | 2020 |
| 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 | 564* | 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 | 535 | 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 | 505 | 2018 |
| 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 | 484 | 2018 |
| Exploring the potential of large language models (llms) in learning on graphs Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ... ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024 | 467 | 2024 |
Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
