| Graph convolutional adversarial networks for spatiotemporal anomaly detection L Deng, D Lian, Z Huang, E Chen IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2416-2428, 2022 | 94 | 2022 |
| Markov-driven graph convolutional networks for social spammer detection L Deng, C Wu, D Lian, Y Wu, E Chen IEEE Transactions on Knowledge and Data Engineering 35 (12), 12310-12322, 2022 | 25 | 2022 |
| Graph convolution network based recommender systems: Learning guarantee and item mixture powered strategy L Deng, D Lian, C Wu, E Chen Advances in Neural Information Processing Systems 35, 3900-3912, 2022 | 20 | 2022 |
| Traffic4cast at neurips 2022–predict dynamics along graph edges from sparse node data: Whole city traffic and eta from stationary vehicle detectors M Neun, C Eichenberger, H Martin, M Spanring, R Siripurapu, D Springer, ... NeurIPS 2022 Competition Track, 251-278, 2023 | 10 | 2023 |
| Transposed variational auto-encoder with intrinsic feature learning for traffic forecasting L Deng, C Wu, D Lian, M Zhou arXiv preprint arXiv:2211.00641, 2022 | 3 | 2022 |
| Co-visitation Meets Token Alignment for Next Product Title Generation C Wu, L Deng, Z Zhu, D Lian Amazon KDD Cup 2023 Workshop, 2018 | | 2018 |
| Learning from Highly Sparse Spatio-temporal Data L Deng, C Wu, D Lian, E Chen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |