| Socially-aware self-supervised tri-training for recommendation J Yu, H Yin, M Gao, X Xia, X Zhang, NQ Viet Hung Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 213 | 2021 |
| Personalisation in web computing and informatics: Theories, techniques, applications, and future research M Gao, K Liu, Z Wu Information Systems Frontiers 12 (5), 607-629, 2010 | 197 | 2010 |
| Enhancing social recommendation with adversarial graph convolutional networks J Yu, H Yin, J Li, M Gao, Z Huang, L Cui IEEE Transactions on knowledge and data engineering 34 (8), 3727-3739, 2020 | 196 | 2020 |
| Adaptive implicit friends identification over heterogeneous network for social recommendation J Yu, M Gao, J Li, H Yin, H Liu Proceedings of the 27th ACM international conference on information and …, 2018 | 144 | 2018 |
| Userrank for item-based collaborative filtering recommendation M Gao, Z Wu, F Jiang Information Processing Letters 111 (9), 440-446, 2011 | 144 | 2011 |
| Double-scale self-supervised hypergraph learning for group recommendation J Zhang, M Gao, J Yu, L Guo, J Li, H Yin Proceedings of the 30th ACM international conference on information …, 2021 | 140 | 2021 |
| SocialLGN: Light graph convolution network for social recommendation J Liao, W Zhou, F Luo, J Wen, M Gao, X Li, J Zeng Information Sciences 589, 595-607, 2022 | 128 | 2022 |
| A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism Y Yang, Q Xiong, C Wu, Q Zou, Y Yu, H Yi, M Gao Environmental Science and Pollution Research 28 (39), 55129-55139, 2021 | 120 | 2021 |
| SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems W Zhou, J Wen, Q Xiong, M Gao, J Zeng Neurocomputing 210, 197-205, 2016 | 112 | 2016 |
| Generating reliable friends via adversarial training to improve social recommendation J Yu, M Gao, H Yin, J Li, C Gao, Q Wang 2019 IEEE international conference on data mining (ICDM), 768-777, 2019 | 108 | 2019 |
| Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning W Li, M Gao, H Li, Q Xiong, J Wen, Z Wu 2016 international joint conference on neural networks (IJCNN), 3130-3137, 2016 | 107 | 2016 |
| Recommender systems based on generative adversarial networks: A problem-driven perspective M Gao, J Zhang, J Yu, J Li, J Wen, Q Xiong Information Sciences 546, 1166-1185, 2021 | 81 | 2021 |
| A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique H Xia, B Fang, M Gao, H Ma, Y Tang, J Wen Information Sciences 306, 150-165, 2015 | 73 | 2015 |
| Multiple-element joint detection for aspect-based sentiment analysis C Wu, Q Xiong, H Yi, Y Yu, Q Zhu, M Gao, J Chen Knowledge-Based Systems 223, 107073, 2021 | 61 | 2021 |
| Shilling attacks detection in recommender systems based on target item analysis W Zhou, J Wen, YS Koh, Q Xiong, M Gao, G Dobbie, S Alam PloS one 10 (7), e0130968, 2015 | 58 | 2015 |
| A new QoS-aware web service recommendation system based on contextual feature recognition at server-side S Li, J Wen, F Luo, M Gao, J Zeng, ZY Dong IEEE transactions on network and service management 14 (2), 332-342, 2017 | 57 | 2017 |
| TLT: Recurrent fine-tuning transfer learning for water quality long-term prediction L Peng, H Wu, M Gao, H Yi, Q Xiong, L Yang, S Cheng Water Research 225, 119171, 2022 | 51 | 2022 |
| Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning T Wang, Q Fan, X Li, X Zhang, Q Xiong, S Fu, M Gao ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 46 | 2021 |
| Ultrasonic temperature distribution reconstruction for circular area based on Markov radial basis approximation and singular value decomposition X Shen, Q Xiong, X Shi, K Wang, S Liang, M Gao Ultrasonics 62, 174-185, 2015 | 45 | 2015 |
| Multi-modal cyberbullying detection on social networks K Wang, Q Xiong, C Wu, M Gao, Y Yu 2020 International joint conference on neural networks (IJCNN), 1-8, 2020 | 41 | 2020 |
Junliang YuThe University of QueenslandE-mailová adresa ověřena na: uq.edu.au
