Shoujin Wang
Cited by
Cited by
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
Diversifying Personalized Recommendation with User-session Context.
L Hu, L Cao, S Wang, G Xu, J Cao, Z Gu
IJCAI, 1858-1864, 2017
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
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
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
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
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
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
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
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
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
钱颖, 汪守金, 金晓玲, 钟永光, 李巧凤
情报杂志 31 (11), 14-18, 2012
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
Graph-based Chinese word sense disambiguation with multi-knowledge integration
W Lu, F Meng, S Wang, G Zhang, X Zhang, A Ouyang, X Zhang
Comput. Mater. Continua 61 (1), 197-212, 2019
Sentence semantic matching based on 3D CNN for human–robot language interaction
W Lu, R Yu, S Wang, C Wang, P Jian, H Huang
ACM Transactions on Internet Technology (TOIT) 21 (4), 1-24, 2021
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