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ORCIDFan Liu
Publications
- 2024
[j101]Yu Zhang, Zhiyong Cheng, Fan Liu
, Xun Yang, Yuxin Peng:
Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation. Inf. Process. Manag. 61(2): 103689 (2024)- [j93]Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li:
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 10:1-10:26 (2024) - [c89]Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han:
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation. SIGIR 2024: 946-955 - [i35]Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Cluster-based Graph Collaborative Filtering. CoRR abs/2404.10321 (2024) - [i34]Zhiyong Cheng, Jianhua Dong, Fan Liu, Lei Zhu, Xun Yang, Meng Wang:
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation. CoRR abs/2404.11519 (2024) - [i33]Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han:
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation. CoRR abs/2404.18166 (2024) - 2023
- [j84]Yu Zhang, Fan Liu, Yupeng Hu, Xiaoli Li, Xiangjun Dong, Zhiyong Cheng:
Dual attentive graph convolutional networks for cross-domain recommendation. J. Intell. Fuzzy Syst. 44(5): 7367-7378 (2023) - [j77]Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng:
Disentangled Graph Neural Networks for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7870-7882 (2023) - [j76]Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Disentangled Multimodal Representation Learning for Recommendation. IEEE Trans. Multim. 25: 7149-7159 (2023) - [c70]Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. ACM Multimedia 2023: 6567-6575 - [c63]Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng:
Multi-Behavior Recommendation with Cascading Graph Convolution Networks. WWW 2023: 1181-1189 - [i26]Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng:
Multi-Behavior Recommendation with Cascading Graph Convolution Networks. CoRR abs/2303.15720 (2023) - [i20]Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Semantic-Guided Feature Distillation for Multimodal Recommendation. CoRR abs/2308.03113 (2023) - [i17]Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. CoRR abs/2312.14433 (2023) - [i16]Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli:
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. CoRR abs/2312.16275 (2023) - 2022
- [j62]Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4077-4088 (2022) - [j61]Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie:
Feature-Level Attentive ICF for Recommendation. ACM Trans. Inf. Syst. 40(4): 75:1-75:24 (2022) - [c55]Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. SIGIR 2022: 1379-1389 - [i15]Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng:
Disentangled Graph Neural Networks for Session-based Recommendation. CoRR abs/2201.03482 (2022) - [i14]Fan Liu, Zhiyong Cheng, Huilin Chen, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli:
Disentangled Multimodal Representation Learning for Recommendation. CoRR abs/2203.05406 (2022) - [i12]Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li:
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. CoRR abs/2205.13128 (2022) - [i11]Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. CoRR abs/2209.13133 (2022) - 2021
- [c45]Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. WWW 2021: 1296-1305 - [i8]Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. CoRR abs/2102.10044 (2021) - 2020
- [i6]Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR abs/2003.09086 (2020) - 2019
- [c29]Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. ACM Multimedia 2019: 1526-1534 - [i3]Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. CoRR abs/1908.07738 (2019)
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