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Kun Zhang
Kun Zhang
在 hfut.edu.cn 的电子邮件经过验证
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引用次数
引用次数
年份
Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach
L Chen, L Wu, R Hong, K Zhang, M Wang
Proceedings of the AAAI conference on artificial intelligence 34 (01), 27-34, 2020
4272020
Neural news recommendation with long-and short-term user representations
M An, F Wu, C Wu, K Zhang, Z Liu, X Xie
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
2812019
A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation
L Wu, X He, X Wang, K Zhang, M Wang
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4425-4445, 2022
228*2022
Xiaoice band: A melody and arrangement generation framework for pop music
H Zhu, Q Liu, NJ Yuan, C Qin, J Li, K Zhang, G Zhou, F Wei, Y Xu, E Chen
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
932018
Dae-gan: Dynamic aspect-aware gan for text-to-image synthesis
S Ruan, Y Zhang, K Zhang, Y Fan, F Tang, Q Liu, E Chen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
892021
Joint item recommendation and attribute inference: An adaptive graph convolutional network approach
L Wu, Y Yang, K Zhang, R Hong, Y Fu, M Wang
Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020
792020
Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation
P Sun, L Wu, K Zhang, Y Fu, R Hong, M Wang
Proceedings of The Web Conference 2020, 837-847, 2020
782020
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition
S Zhao, H Tao, Y Zhang, T Xu, K Zhang, Z Hao, E Chen
Neurocomputing 448, 276-289, 2021
642021
Enhanced graph learning for collaborative filtering via mutual information maximization
Y Yang, L Wu, R Hong, K Zhang, M Wang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
592021
A review-aware graph contrastive learning framework for recommendation
J Shuai, K Zhang, L Wu, P Sun, R Hong, M Wang, Y Li
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
492022
Incorporating dynamic semantics into pre-trained language model for aspect-based sentiment analysis
K Zhang, K Zhang, M Zhang, H Zhao, Q Liu, W Wu, E Chen
arXiv preprint arXiv:2203.16369, 2022
452022
Drr-net: Dynamic re-read network for sentence semantic matching
K Zhang, G Lv, L Wang, L Wu, E Chen, F Wu, X Xie
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7442-7449, 2019
322019
A context-enriched neural network method for recognizing lexical entailment
K Zhang, E Chen, Q Liu, C Liu, G Lv
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
252017
Pop music generation: From melody to multi-style arrangement
H Zhu, Q Liu, NJ Yuan, K Zhang, G Zhou, E Chen
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-31, 2020
242020
Sentiment classification by leveraging the shared knowledge from a sequence of domains
G Lv, S Wang, B Liu, E Chen, K Zhang
Database Systems for Advanced Applications: 24th International Conference …, 2019
242019
Image-enhanced multi-level sentence representation net for natural language inference
K Zhang, G Lv, L Wu, E Chen, Q Liu, H Wu, F Wu
2018 IEEE International Conference on Data Mining (ICDM), 747-756, 2018
232018
Privileged graph distillation for cold start recommendation
S Wang, K Zhang, L Wu, H Ma, R Hong, M Wang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
222021
Making the relation matters: Relation of relation learning network for sentence semantic matching
K Zhang, L Wu, G Lv, M Wang, E Chen, S Ruan
Proceedings of the AAAI conference on artificial intelligence 35 (16), 14411 …, 2021
182021
Understanding the Users and Videos by Mining a Novel Danmu Dataset
G Lv, K Zhang, L Wu, E Chen, T Xu, Q Liu, W He
IEEE Transactions on Big Data 8 (2), 535-551, 2019
182019
Color enhanced cross correlation net for image sentiment analysis
S Ruan, K Zhang, L Wu, T Xu, Q Liu, E Chen
IEEE Transactions on Multimedia, 2021
162021
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