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Shaowen Peng
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2020 – today
- 2024
- [j2]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation. ACM Trans. Inf. Syst. 42(3): 85:1-85:26 (2024) - [c7]Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine:
How Powerful is Graph Filtering for Recommendation. KDD 2024: 2388-2399 - [i5]Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine:
How Powerful is Graph Filtering for Recommendation. CoRR abs/2406.08827 (2024) - [i4]Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine:
Balancing Embedding Spectrum for Recommendation. CoRR abs/2406.12032 (2024) - 2022
- [c6]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CIKM 2022: 1625-1634 - [c5]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. SIGIR 2022: 1273-1282 - [i3]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. CoRR abs/2204.11346 (2022) - [i2]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CoRR abs/2208.12689 (2022) - 2020
- [c4]Shaowen Peng, Tsunenori Mine:
Mixture-preference bayesian matrix factorization for implicit feedback datasets. SAC 2020: 1427-1434 - [i1]Shaowen Peng, Tsunenori Mine:
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering. CoRR abs/2004.14734 (2020)
2010 – 2019
- 2019
- [j1]Chang Su, Shaowen Peng, Xianzhong Xie, Ningning Liu:
融合深度学习和因子分解机的兴趣点签到预测研究 (Study on Check-in Prediction Based on Deep Learning and Factorization Machine). 计算机科学 46(5): 185-190 (2019) - [c3]Chang Su, Ningning Liu, Xianzhong Xie, Shaowen Peng:
TSWNN+: Check-in Prediction Based on Deep Learning and Factorization Machine. Innovate-Data 2019: 65-79 - 2018
- [c2]Shaowen Peng, Xianzhong Xie, Tsunenori Mine, Chang Su:
Vector Representation Based Model Considering Randomness of User Mobility for Predicting Potential Users. PRIMA 2018: 70-85 - 2016
- [c1]Shaowen Peng, Zhiyao Zhang, Qihao Yang, Di Peng, Yali Zhang, Yong Liu:
Gain fluctuation in microwave photonic phase shifters based on stimulated Brillouin scattering. WOCC 2016: 1-4
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