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Yushun Fan
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Publications
- 2023
- [j68]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz:
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. 16(1): 642-655 (2023) - [j66]Ruyu Yan, Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services. IEEE Trans. Serv. Comput. 16(4): 2786-2799 (2023) - 2022
- [j57]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation. IEEE Trans. Serv. Comput. 15(2): 918-930 (2022) - 2021
- [c82]Ruyu Yan, Yushun Fan, Jia Zhang, Junqi Zhang, Haozhe Lin:
Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network. ICWS 2021: 397-405 - [c80]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. WWW 2021: 3136-3145 - 2020
- [c76]Chunyu Wei, Yushun Fan, Jia Zhang, Haozhe Lin:
A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph. ICWS 2020: 338-346 - 2019
- [c74]Xing Wu, Yushun Fan, Jia Zhang, Haozhe Lin, Junqi Zhang:
QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation. SCC 2019: 202-209 - 2018
- [c68]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation. ICWS 2018: 42-49
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