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Yue Ding
Yue Ding
在 sjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
CFM: Convolutional factorization machines for context-aware recommendation.
X Xin, B Chen, X He, D Wang, Y Ding, JM Jose
IJCAI 19 (1), 3926-3932, 2019
1132019
Adversarial and contrastive variational autoencoder for sequential recommendation
Z Xie, C Liu, Y Zhang, H Lu, D Wang, Y Ding
Proceedings of the web conference 2021, 449-459, 2021
772021
TGCN: Tag graph convolutional network for tag-aware recommendation
B Chen, W Guo, R Tang, X Xin, Y Ding, X He, D Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
372020
PHD: A probabilistic model of hybrid deep collaborative filtering for recommender systems
J Liu, D Wang, Y Ding
Asian Conference on machine learning, 224-239, 2017
222017
AIRec: Attentive intersection model for tag-aware recommendation
B Chen, Y Ding, X Xin, Y Li, Y Wang, D Wang
Neurocomputing 421, 105-114, 2021
182021
SCFM: Social and crowdsourcing factorization machines for recommendation
Y Ding, D Wang, X Xin, G Li, D Sun, X Zeng, R Ranjan
Applied Soft Computing 66, 548-556, 2018
132018
Decomposed collaborative filtering: Modeling explicit and implicit factors for recommender systems
H Chen, X Xin, D Wang, Y Ding
Proceedings of the 14th ACM international conference on web search and data …, 2021
102021
Completely heterogeneous federated learning
C Liu, Y Yang, X Cai, Y Ding, H Lu
arXiv preprint arXiv:2210.15865, 2022
92022
Prompt guided transformer for multi-task dense prediction
Y Lu, S Sirejiding, Y Ding, C Wang, H Lu
IEEE Transactions on Multimedia, 2024
82024
An energy-efficient computing offloading framework for blockchain-enabled video streaming systems
S Yuan, J Li, Y Zhu, C Wu, Y Ding
GLOBECOM 2022-2022 IEEE Global Communications Conference, 5183-5188, 2022
82022
Extracting attentive social temporal excitation for sequential recommendation
Y Li, Y Ding, B Chen, X Xin, Y Wang, Y Shi, R Tang, D Wang
arXiv preprint arXiv:2109.13539, 2021
82021
Adaptive incentivize for cross-silo federated learning in IIoT: A multi-agent reinforcement learning approach
S Yuan, B Dong, H Lvy, H Liu, H Chen, C Wu, S Guo, Y Ding, J Li
IEEE Internet of Things Journal, 2023
72023
Scale-aware task message transferring for multi-task learning
S Sirejiding, Y Lu, H Lu, Y Ding
2023 IEEE International Conference on Multimedia and Expo (ICME), 1859-1864, 2023
72023
User actions and timestamp based personalized recommendation for e-commerce system
C Chen, D Wang, Y Ding
2016 IEEE International Conference on Computer and Information Technology …, 2016
62016
SocialFM: A social recommender system with factorization machines
J Zhou, D Wang, Y Ding, L Yin
Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016
62016
FHSM: factored hybrid similarity methods for top-n recommender systems
X Xin, D Wang, Y Ding, C Lini
Web Technologies and Applications: 18th Asia-Pacific Web Conference, APWeb …, 2016
62016
Semi-deterministic and contrastive variational graph autoencoder for recommendation
Y Ding, Y Shi, B Chen, C Lin, H Lu, J Li, R Tang, D Wang
Proceedings of the 30th ACM international conference on information …, 2021
52021
Position-aware subgraph neural networks with data-efficient learning
C Liu, Y Yang, Z Xie, H Lu, Y Ding
Proceedings of the sixteenth ACM international conference on web search and …, 2023
42023
Exploiting long‐term and short‐term preferences and RFID trajectories in shop recommendation
Y Ding, D Wang, G Li, D Sun, X Xin, S Qian
Software: Practice and Experience 47 (6), 849-865, 2017
42017
ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation
Y Wang, X Xin, Y Ding, D Wang
arXiv preprint arXiv:2109.12887 85, 2021
32021
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