| A novel embedding model for knowledge base completion based on convolutional neural network TD Nguyen, DQ Nguyen, D Phung Proceedings of the 2018 conference of the North American chapter of the …, 2018 | 1230 | 2018 |
| Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ... Journal of medical Internet research 18 (12), e323, 2016 | 1033 | 2016 |
| Labeled random finite sets and the Bayes multi-target tracking filter BN Vo, BT Vo, D Phung IEEE Transaction on Signal Processing, 2014 | 925 | 2014 |
| Activity recognition and abnormality detection with the switching hidden semi-markov model TV Duong, HH Bui, DQ Phung, S Venkatesh 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 784 | 2005 |
| Predicting healthcare trajectories from medical records: A deep learning approach T Pham, T Tran, D Phung, S Venkatesh Journal of biomedical informatics 69, 218-229, 2017 | 615 | 2017 |
| Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model N Nguyen, DQ Phung, S Venkatesh, H Bui Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005 | 504 | 2005 |
| Dual discriminator generative adversarial nets T Nguyen, T Le, H Vu, D Phung Advances in neural information processing systems 30, 2017 | 456 | 2017 |
| Deepcare: A deep dynamic memory model for predictive medicine T Pham, T Tran, D Phung, S Venkatesh Pacific-Asia conference on knowledge discovery and data mining, 30-41, 2016 | 435 | 2016 |
| MGAN: Training generative adversarial nets with multiple generators Q Hoang, TD Nguyen, T Le, D Phung International Conference on Learning Representation (ICLR), 2018 | 413* | 2018 |
| A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization DQ Nguyen, T Vu, TD Nguyen, DQ Nguyen, D Phung Annual Conference of the North American Chapter of the Association for …, 2019 | 390* | 2019 |
| An effective spatial-temporal attention based neural network for traffic flow prediction LNN Do, HL Vu, BQ Vo, Z Liu, D Phung Transportation research part C: emerging technologies 108, 12-28, 2019 | 320 | 2019 |
| Affective and Content Analysis of Online Depression Communities T Nguyen, D Phung, B Dao, S Venkatesh, M Berk IEEE Transaction on Affective Computing, 1-1, 2014 | 317 | 2014 |
| Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring H Nguyen, SJ Maclagan, TD Nguyen, T Nguyen, P Flemons, K Andrews, ... 2017 IEEE international conference on data science and advanced Analytics …, 2017 | 308 | 2017 |
| VulRepair: a T5-based automated software vulnerability repair M Fu, C Tantithamthavorn, T Le, V Nguyen, D Phung Proceedings of the 30th ACM joint european software engineering conference …, 2022 | 301 | 2022 |
| Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM) T Tran, TD Nguyen, D Phung, S Venkatesh Journal of biomedical informatics 54, 96-105, 2015 | 222 | 2015 |
| Exploiting domain-specific features to enhance domain generalization MH Bui, T Tran, A Tran, D Phung Advances in Neural Information Processing Systems 34, 21189-21201, 2021 | 218 | 2021 |
| Regvd: Revisiting graph neural networks for vulnerability detection VA Nguyen, DQ Nguyen, V Nguyen, T Le, QH Tran, D Phung Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 208 | 2022 |
| Topic modelling meets deep neural networks: A survey H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine arXiv preprint arXiv:2103.00498, 2021 | 203 | 2021 |
| Column networks for collective classification T Pham, T Tran, D Phung, S Venkatesh Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 198 | 2017 |
| Multilevel clustering via Wasserstein means N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung International conference on machine learning, 1501-1509, 2017 | 191 | 2017 |
