Shoujin Wang
Shoujin Wang
University of Technology Sydney, Macquarie University
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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
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
Sequential Recommender Systems: Challenges, Progress and Prospects
S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun
IJCAI2019, 1-7, 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
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
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
Diversifying Personalized Recommendation with User-session Context.
L Hu, L Cao, S Wang, G Xu, J Cao, Z Gu
IJCAI, 1858-1864, 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
Trustworthy recommender systems
S Wang, X Zhang, Y Wang, H Liu, F Ricci
ACM Transactions on Intelligent Systems and Technology, 1-19, 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
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
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
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
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
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
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
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
Next-item Recommendations in Short Sessions
W Song, S Wang, Y Wang, S Wang
15th ACM Conference on Recommender Systems, 1-15, 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
Comprehensive analysis of a new varying parameter zeroing neural network for time varying matrix inversion
L Xiao, Y Zhang, J Dai, Q Zuo, S Wang
IEEE Transactions on Industrial Informatics 17 (3), 1604-1613, 2020
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