| Line: Large-scale information network embedding J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei Proceedings of the 24th international conference on world wide web, 1067-1077, 2015 | 6416 | 2015 |
| Rotate: Knowledge graph embedding by relational rotation in complex space Z Sun, ZH Deng, JY Nie, J Tang arXiv preprint arXiv:1902.10197, 2019 | 2509 | 2019 |
| Crowdsourcing to smartphones: Incentive mechanism design for mobile phone sensing D Yang, G Xue, X Fang, J Tang ACM MobiCom 2012: Proceedings of the 18th annual international conference on …, 2012 | 1234 | 2012 |
| Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization FY Sun, J Hoffmann, V Verma, J Tang arXiv preprint arXiv:1908.01000, 2019 | 1015 | 2019 |
| Pte: Predictive text embedding through large-scale heterogeneous text networks J Tang, M Qu, Q Mei Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 961 | 2015 |
| Autoint: Automatic feature interaction learning via self-attentive neural networks W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang Proceedings of the 28th ACM international conference on information and …, 2019 | 790 | 2019 |
| Interference-aware topology control and QoS routing in multi-channel wireless mesh networks J Tang, G Xue, W Zhang ACM MobiHoc 2005: Proceedings of the 6th ACM international symposium on …, 2005 | 667 | 2005 |
| KEPLER: A unified model for knowledge embedding and pre-trained language representation X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang Transactions of the Association for Computational Linguistics 9, 176-194, 2021 | 663 | 2021 |
| Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach CH Liu, Z Chen, J Tang, J Xu, C Piao IEEE Journal on Selected Areas in Communications 36 (9), 2059-2070, 2018 | 574 | 2018 |
| Deepinf: Social influence prediction with deep learning J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 568 | 2018 |
| Scientific discovery in the age of artificial intelligence H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ... Nature 620 (7972), 47-60, 2023 | 560 | 2023 |
| A systematic dnn weight pruning framework using alternating direction method of multipliers T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang Proceedings of the European conference on computer vision (ECCV), 184-199, 2018 | 536 | 2018 |
| Visualizing large-scale and high-dimensional data J Tang, J Liu, M Zhang, Q Mei Proceedings of the 25th international conference on world wide web, 287-297, 2016 | 513 | 2016 |
| Artificial intelligence in COVID-19 drug repurposing Y Zhou, F Wang, J Tang, R Nussinov, F Cheng The Lancet Digital Health 2 (12), e667-e676, 2020 | 500 | 2020 |
| Session-based social recommendation via dynamic graph attention networks W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang Proceedings of the Twelfth ACM international conference on web search and …, 2019 | 486 | 2019 |
| Incentive mechanisms for crowdsensing: Crowdsourcing with smartphones D Yang, G Xue, X Fang, J Tang IEEE/ACM transactions on networking 24 (3), 1732-1744, 2015 | 472 | 2015 |
| Relay node placement in large scale wireless sensor networks J Tang, B Hao, A Sen Computer Communications Journal 29 (4), 490-501, 2006 | 453 | 2006 |
| Experience-driven networking: A deep reinforcement learning based approach Z Xu, J Tang, J Meng, W Zhang, Y Wang, CH Liu, D Yang IEEE INFOCOM 2018-IEEE conference on computer communications, 1871-1879, 2018 | 452 | 2018 |
| Graphaf: a flow-based autoregressive model for molecular graph generation C Shi, M Xu, Z Zhu, W Zhang, M Zhang, J Tang arXiv preprint arXiv:2001.09382, 2020 | 448 | 2020 |
| Geodiff: A geometric diffusion model for molecular conformation generation M Xu, L Yu, Y Song, C Shi, S Ermon, J Tang arXiv preprint arXiv:2203.02923, 2022 | 440 | 2022 |
Guoliang XueProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
