| Learning the graphical structure of electronic health records with graph convolutional transformer E Choi, Z Xu, Y Li, M Dusenberry, G Flores, E Xue, A Dai Proceedings of the AAAI conference on artificial intelligence 34 (01), 606-613, 2020 | 243 | 2020 |
| Flow contrastive estimation of energy-based models R Gao, E Nijkamp, DP Kingma, Z Xu, AM Dai, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 122 | 2020 |
| Learning an adaptive learning rate schedule Z Xu, AM Dai, J Kemp, L Metz arXiv preprint arXiv:1909.09712, 2019 | 75 | 2019 |
| A privacy-aware cloud-assisted healthcare monitoring system via compressive sensing C Wang, B Zhang, K Ren, JM Roveda, CW Chen, Z Xu IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 2130-2138, 2014 | 71 | 2014 |
| Mufasa: Multimodal fusion architecture search for electronic health records Z Xu, DR So, AM Dai Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10532 …, 2021 | 59 | 2021 |
| Graph convolutional transformer: Learning the graphical structure of electronic health records E Choi, Z Xu, Y Li, MW Dusenberry, G Flores, Y Xue, AM Dai arXiv preprint arXiv:1906.04716, 2019 | 53 | 2019 |
| Proof-carrying cloud computation: The case of convex optimization Z Xu, C Wang, K Ren, L Wang, B Zhang IEEE Transactions on Information Forensics and Security 9 (11), 1790-1803, 2014 | 34 | 2014 |
| Using social dynamics to make individual predictions: variational inference with a stochastic kinetic model Z Xu, W Dong, SN Srihari Advances in Neural Information Processing Systems 29, 2016 | 16 | 2016 |
| BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark A Avati, M Seneviratne, E Xue, Z Xu, B Lakshminarayanan, AM Dai arXiv preprint arXiv:2107.08189, 2021 | 11 | 2021 |
| Deep state-space generative model for correlated time-to-event predictions Y Xue, D Zhou, N Du, AM Dai, Z Xu, K Zhang, C Cui Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 9 | 2020 |
| Bayesian network structure learning using causality Z Xu, SN Srihari 2014 22nd International Conference on Pattern Recognition, 3546-3551, 2014 | 8 | 2014 |
| Development of handwriting individuality: An information-theoretic study SN Srihari, Z Xu, L Hanson 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 5 | 2014 |
| Oirs: Outsourced image recovery service from compressive sensing with privacy assurance C Wang, Z Xu, B Zhang, K Ren, J Wang Proc. Netw. Distrub. Syst. Security Symp., 2013 | 4 | 2013 |
| Training neural networks using learned adaptive learning rates Z Xu, AM Dai, JB Kemp, LS Metz US Patent App. 16/943,957, 2021 | 3 | 2021 |
| Machine-Learned State Space Model for Joint Forecasting Y Xue, D Zhou, N Du, AM Dai, Z Xu, K Zhang, Y Cui US Patent App. 17/008,338, 2021 | 2 | 2021 |
| Deep physiological state space model for clinical forecasting Y Xue, D Zhou, N Du, A Dai, Z Xu, K Zhang, C Cui arXiv preprint arXiv:1912.01762, 2019 | 2 | 2019 |
| Learning Graphical Structure of Electronic Health Records with Transformer for Predictive Healthcare E Choi, MW Dusenberry, G Flores, Z Xu, Y Li, Y Xue, AM Dai ICML Workshop on Learning and Reasoning with Graph-Structured Data, 2019 | 2 | 2019 |
| Studies in Individuality: Can Students, Teachers and Schools Be Determined from Children’s Handwriting? SN Srihari, G Chen, Z Xu, L Hanson Computational Forensics: 5th International Workshop, IWCF 2012, Tsukuba …, 2015 | 2 | 2015 |
| Multi-modal neural network architecture search Z Xu, DR So, AM Dai US Patent App. 17/915,796, 2023 | 1 | 2023 |
| Missing value imputation: with application to handwriting data Z Xu, SN Srihari Document Recognition and Retrieval XXII 9402, 233-244, 2015 | 1 | 2015 |
Cong WangDepartment of Computer Science, City University of Hong KongEmail verificata su cityu.edu.hk