Learning to sample and aggregate: Few-shot reasoning over temporal knowledge graphs R Wang, Z Li, D Sun, S Liu, J Li, B Yin, T Abdelzaher Advances in Neural Information Processing Systems 35, 16863-16876, 2022 | 30 | 2022 |
Unsupervised belief representation learning with information-theoretic variational graph auto-encoders J Li, H Shao, D Sun, R Wang, Y Yan, J Li, S Liu, H Tong, T Abdelzaher Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 20 | 2022 |
Senti2pop: sentiment-aware topic popularity prediction on social media J Li, Y Gao, X Gao, Y Shi, G Chen 2019 IEEE International conference on data mining (ICDM), 1174-1179, 2019 | 20 | 2019 |
Dissecting cross-layer dependency inference on multi-layered inter-dependent networks Y Yan, Q Zhou, J Li, T Abdelzaher, H Tong Proceedings of the 31st ACM International Conference on Information …, 2022 | 16 | 2022 |
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity T Gao, W Bao, J Li, X Gao, B Kong, Y Tang, G Chen, X Li International Conference on Database and Expert Systems Applications, 283-299, 2018 | 13 | 2018 |
Unsupervised belief representation learning in polarized networks with information-theoretic variational graph auto-encoders H Tong, T Abdelzaher | 6 | 2022 |
Id preserving face super-resolution generative adversarial networks J Li, Y Zhou, J Ding, C Chen, X Yang IEEE Access 8, 138373-138381, 2020 | 5 | 2020 |
NTULM: Enriching social media text representations with non-textual units J Li, S Mishra, A El-Kishky, S Mehta, V Kulkarni arXiv preprint arXiv:2210.16586, 2022 | 4 | 2022 |
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. J Li, Y Xue, S Kraus IJCAI, 5916-5922, 2019 | 4 | 2019 |
Cost function learning in memorized social networks with cognitive behavioral asymmetry Y Mao, J Li, N Hovakimyan, T Abdelzaher, C Lebiere IEEE Transactions on Computational Social Systems 11 (1), 418-430, 2022 | 3 | 2022 |