| Mamo: Memory-augmented meta-optimization for cold-start recommendation M Dong, F Yuan, L Yao, X Xu, L Zhu (KDD) Proceedings of the 26th ACM SIGKDD International Conference on …, 2020 | 140 | 2020 |
| Deep neural network hyperparameter optimization with orthogonal array tuning X Zhang, X Chen, L Yao, C Ge, M Dong (ICONIP) International conference on neural information processing, 287-295, 2019 | 100 | 2019 |
| Adversarial representation learning for robust patient-independent epileptic seizure detection X Zhang, L Yao, M Dong, Z Liu, Y Zhang, Y Li IEEE journal of biomedical and health informatics 24 (10), 2852-2859, 2020 | 90 | 2020 |
| A survey on expert recommendation in community question answering X Wang, C Huang, L Yao, B Benatallah, M Dong Journal of Computer Science and Technology 33 (4), 625-653, 2018 | 86 | 2018 |
| Opinion fraud detection via neural autoencoder decision forest M Dong, L Yao, X Wang, B Benatallah, C Huang, X Ning Pattern Recognition Letters 132, 21-29, 2020 | 78 | 2020 |
| Neurec: On nonlinear transformation for personalized ranking S Zhang, L Yao, A Sun, S Wang, G Long, M Dong (IJCAI) Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 73 | 2018 |
| Dual: A deep unified attention model with latent relation representations for fake news detection M Dong, L Yao, X Wang, B Benatallah, QZ Sheng, H Huang (WISE) International conference on web information systems engineering, 199-209, 2018 | 43 | 2018 |
| A survey for trust-aware recommender systems: A deep learning perspective M Dong, F Yuan, L Yao, X Wang, X Xu, L Zhu Knowledge-Based Systems 249, 108954, 2022 | 42* | 2022 |
| MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction M Dong, C Pan, Z Luo (EMNLP) Proceedings of the 2021 Conference on Empirical Methods in Natural …, 2021 | 36 | 2021 |
| Similarity-aware deep attentive model for clickbait detection M Dong, L Yao, X Wang, B Benatallah, C Huang (PAKDD) Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019 | 34 | 2019 |
| Rating prediction via generative convolutional neural networks based regression X Ning, L Yac, X Wang, B Benatallah, M Dong, S Zhang Pattern Recognition Letters 132, 12-20, 2020 | 29 | 2020 |
| Gradient Boosted Neural Decision Forest M Dong, L Yao, X Wang, B Benatallah, S Zhang, QZ Sheng IEEE Transactions on Services Computing, 2021 | 17* | 2021 |
| Multi-task generative adversarial learning on geometrical shape reconstruction from eeg brain signals X Zhang, X Chen, M Dong, H Liu, C Ge, L Yao arXiv preprint arXiv:1907.13351, 2019 | 17 | 2019 |
| Expert recommendation via tensor factorization with regularizing hierarchical topical relationships C Huang, L Yao, X Wang, B Benatallah, S Zhang, M Dong (ICSOC) International conference on service-oriented computing, 373-387, 2018 | 12 | 2018 |
| Dual-stream self-attentive random forest for false information detection M Dong, L Yao, X Wang, B Benatallah, X Zhang, QZ Sheng (IJCNN) 2019 International Joint Conference on Neural Networks, 1-8, 2019 | 9 | 2019 |
| Adversarial dual autoencoders for trust-aware recommendation M Dong, L Yao, X Wang, X Xu, L Zhu Neural Computing and Applications, 1-11, 2021 | 6 | 2021 |
| AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data Z Luo, Z He, J Wang, M Dong, J Huang, M Chen, B Zheng (KDD) Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery …, 2021 | 5 | 2021 |
| MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning M Dong, L Yao, X Wang, X Xu, L Zhu (ICDM) 2021 IEEE International Conference on Data Mining, 101-110, 2021 | 1* | 2021 |
| Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services M Dong, Z Zhao, Y Geng, W Li, W Wang, H Jiang IJCAI AI for Time Series Analysis Workshop, 2023 | | 2023 |
| False Information Detection on Social Media M Dong UNSW Sydney, 2019 | | 2019 |
Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South WalesПотвърден имейл адрес: csiro.au
