Прати
Liang Hu
Liang Hu
Tongji University
Верификована је имејл адреса на tongji.edu.cn - Почетна страница
Наслов
Навело
Навело
Година
Sequential recommender systems: challenges, progress and prospects
S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun
arXiv preprint arXiv:2001.04830, 2019
4972019
Personalized recommendation via cross-domain triadic factorization
L Hu, J Cao, G Xu, L Cao, Z Gu, C Zhu
Proceedings of the 22nd international conference on World Wide Web, 595-606, 2013
3422013
Transformer based deep intelligent contextual embedding for twitter sentiment analysis
U Naseem, I Razzak, K Musial, M Imran
Future Generation Computer Systems 113, 58-69, 2020
3192020
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
2732018
Graph learning based recommender systems: A review
S Wang, L Hu, Y Wang, X He, QZ Sheng, MA Orgun, L Cao, F Ricci, ...
arXiv preprint arXiv:2105.06339, 2021
2462021
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
1602019
Deep modeling of group preferences for group-based recommendation
L Hu, J Cao, G Xu, L Cao, Z Gu, W Cao
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
1382014
Diversifying personalized recommendation with user-session context.
L Hu, L Cao, S Wang, G Xu, J Cao, Z Gu
IJCAI, 1858-1864, 2017
1352017
FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective
K Yi, Q Zhang, W Fan, H He, L Hu, P Wang, N An, L Cao, Z Niu
Advances in neural information processing systems 36, 69638-69660, 2023
1092023
A social-aware service recommendation approach for mashup creation
W Xu, J Cao, L Hu, J Wang, M Li
2013 IEEE 20th International Conference on Web Services, 107-114, 2013
872013
HERS: Modeling influential contexts with heterogeneous relations for sparse and cold-start recommendation
L Hu, S Jian, L Cao, Z Gu, Q Chen, A Amirbekyan
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3830-3837, 2019
762019
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
652020
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
552020
Sequential/session-based recommendations: Challenges, approaches, applications and opportunities
S Wang, Q Zhang, L Hu, X Zhang, Y Wang, C Aggarwal
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
522022
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
512017
PFEMed: Few-shot medical image classification using prior guided feature enhancement
Z Dai, J Yi, L Yan, Q Xu, L Hu, Q Zhang, J Li, G Wang
Pattern Recognition 134, 109108, 2023
492023
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
452020
Learning informative priors from heterogeneous domains to improve recommendation in cold-start user domains
L Hu, L Cao, J Cao, Z Gu, G Xu, D Yang
ACM Transactions on Information Systems (TOIS) 35 (2), 1-37, 2016
392016
Interpretable recommendation via attraction modeling: Learning multilevel attractiveness over multimodal movie contents
L Hu, S Jian, L Cao, Q Chen
IJCAI International Joint Conference on Artificial Intelligence, 2018
372018
A survey on deep learning based time series analysis with frequency transformation
K Yi, Q Zhang, L Cao, S Wang, G Long, L Hu, H He, Z Niu, W Fan, ...
arXiv preprint arXiv:2302.02173, 2023
362023
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