Training deep neural networks on imbalanced data sets S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy 2016 international joint conference on neural networks (IJCNN), 4368-4374, 2016 | 544 | 2016 |
A survey on session-based recommender systems S Wang, L Cao, Y Wang, QZ Sheng, M Orgun, D Lian ACM Computing Surveys 2021 (7), 1-39, 2021 | 538 | 2021 |
Sequential Recommender Systems: Challenges, Progress and Prospects S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun IJCAI2019, 1-7, 2019 | 399 | 2019 |
Attention-based transactional context embedding for next-item recommendation S Wang, L Hu, L Cao, X Huang, D Lian, W Liu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 246 | 2018 |
Graph Learning based Recommender Systems: A Review S Wang, L Hu, Y Wang, X He, QZ Sheng, M Orgun, L Cao, F Ricci, PS Yu IJCAI 2021, 1-9, 2021 | 181 | 2021 |
Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks S Wang, L Hu, Y Wang, QZ Sheng, M Orgun, L Cao International Joint Conference on Artificial Intelligence, 2019 | 137 | 2019 |
Diversifying Personalized Recommendation with User-session Context. L Hu, L Cao, S Wang, G Xu, J Cao, Z Gu IJCAI, 1858-1864, 2017 | 131 | 2017 |
Intention nets: psychology-inspired user choice behavior modeling for next-basket prediction S Wang, L Hu, Y Wang, QZ Sheng, M Orgun, L Cao Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6259-6266, 2020 | 54 | 2020 |
Trustworthy recommender systems S Wang, X Zhang, Y Wang, H Liu, F Ricci ACM Transactions on Intelligent Systems and Technology, 1-19, 2023 | 48 | 2023 |
Inferring implicit rules by learning explicit and hidden item dependency S Wang, L Cao IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (3), 935-946, 2017 | 48 | 2017 |
Design and comprehensive analysis of a noise-tolerant ZNN model with limited-time convergence for time-dependent nonlinear minimization L Xiao, J Dai, R Lu, S Li, J Li, S Wang IEEE Transactions on Neural Networks and Learning Systems 31 (12), 5339-5348, 2020 | 47 | 2020 |
Perceiving the next choice with comprehensive transaction embeddings for online recommendation S Wang, L Hu, L Cao Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 47 | 2017 |
Intention2basket: A neural intention-driven approach for dynamic next-basket planning S Wang, L Hu, Y Wang, QZ Sheng, M Orgun, L Cao Twenty-Ninth International Joint Conference on Artificial Intelligence and …, 2020 | 44 | 2020 |
Privacy-aware offloading for training tasks of generative adversarial network in edge computing X Xu, X Liu, X Yin, S Wang, Q Qi, L Qi Information Sciences 532, 1-15, 2020 | 41 | 2020 |
Graph learning approaches to recommender systems: A review S Wang, L Hu, Y Wang, X He, QZ Sheng, M Orgun, L Cao, N Wang, ... arXiv preprint arXiv:2004.11718, 2020 | 40 | 2020 |
Veracity-aware and event-driven personalized news recommendation for fake news mitigation S Wang, X Xu, X Zhang, Y Wang, W Song Proceedings of the ACM web conference 2022, 3673-3684, 2022 | 39 | 2022 |
Next-item Recommendations in Short Sessions W Song, S Wang, Y Wang, S Wang 15th ACM Conference on Recommender Systems, 1-15, 2021 | 35 | 2021 |
Hierarchical attentive transaction embedding with intra-and inter-transaction dependencies for next-item recommendation S Wang, L Cao, L Hu, S Berkovsky, X Huang, L Xiao, W Lu IEEE Intelligent Systems 36 (4), 56-64, 2020 | 35* | 2020 |
Concept representation by learning explicit and implicit concept couplings W Lu, Y Zhang, S Wang, H Huang, Q Liu, S Luo IEEE Intelligent Systems 36 (1), 6-15, 2020 | 32 | 2020 |
Frequency-domain MLPs are more effective learners in time series forecasting K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu Advances in Neural Information Processing Systems 36, 2024 | 31 | 2024 |