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Yuan Zhang
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FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
D Wang*, Y Zhang*, K Zhang, L Wang
CVPR'20, 2020
1302020
Cosine: Community-preserving social network embedding from information diffusion cascades
Y Zhang, T Lyu, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
742018
Enhancing the network embedding quality with structural similarity
T Lyu, Y Zhang, Y Zhang
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
622017
Neural IR Meets Graph Embedding: A Ranking Model for Product Search
Y Zhang, D Wang, Y Zhang
The World Wide Web Conference, 2390-2400, 2019
572019
Distilling structured knowledge into embeddings for explainable and accurate recommendation
Y Zhang, X Xu, H Zhou, Y Zhang
Proceedings of the 13th International Conference on Web Search and Data …, 2020
562020
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation
J Guo, Y Yang, X Song, Y Zhang, Y Wang, J Bai, Y Zhang
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
392022
CIRS: Bursting filter bubbles by counterfactual interactive recommender system
C Gao, S Wang, S Li, J Chen, X He, W Lei, B Li, Y Zhang, P Jiang
ACM Transactions on Information Systems 42 (1), 1-27, 2023
382023
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
C Gao, S Li, Y Zhang, J Chen, B Li, W Lei, P Jiang, X He
Proceedings of the 31st ACM International Conference on Information …, 2022
342022
Real-time Short Video Recommendation on Mobile Devices
X Gong, Q Feng, Y Zhang, J Qin, W Ding, B Li, P Jiang, K Gai
Proceedings of the 31st ACM International Conference on Information …, 2022
272022
Hierarchical community-level information diffusion modeling in social networks
Y Zhang, T Lyu, Y Zhang
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
232017
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
C Gao, K Huang, J Chen, Y Zhang, B Li, P Jiang, S Wang, Z Zhang, X He
arXiv preprint arXiv:2307.04571, 2023
192023
Graph-based Regularization on Embedding Layers for Recommendation
Y Zhang, F Sun, X Yang, C Xu, W Ou, Y Zhang
ACM Transactions on Information Systems (TOIS) 39 (1), 1-27, 2020
142020
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
M Ai, B Li, H Gong, Q Yu, S Xue, Y Zhang, Y Zhang, P Jiang
Proceedings of the ACM Web Conference 2022, 2310-2319, 2022
122022
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
M Chen, Y Zhang, X Kou, Y Li, Y Zhang
arXiv preprint arXiv:2109.05922, 2021
122021
Backprop-q: Generalized backpropagation for stochastic computation graphs
X Xu, S Zu, Y Zhang, H Zhou, W Feng
arXiv preprint arXiv:1807.09511, 2018
52018
Divide and conquer: Towards better embedding-based retrieval for recommender systems from a multi-task perspective
Y Zhang, X Dong, W Ding, B Li, P Jiang, K Gai
Companion Proceedings of the ACM Web Conference 2023, 366-370, 2023
42023
Modeling Attention Flow on Graphs
X Xu, S Zu, C Gao, Y Zhang, W Feng
arXiv preprint arXiv:1811.00497, 2018
42018
Measuring Item Global Residual Value for Fair Recommendation
J Wang, W Ma, C Jiang, M Zhang, Y Zhang, B Li, P Jiang
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
12023
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation
T Zhu, Y Shi, Y Zhang, Y Wu, F Mo, JY Nie
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
2024
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