近5年代表性论文 (^ The students I advised when preparing the papers; * Corresponding author.)：
[1] Mingshi Yan^, Zhiyong Cheng*, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li. Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation, ACM TOIS, 42(1), 10:1-26, 2024. [CCF A][Arxiv][CODE]
[2] Zhiyong Cheng, Jianhua Dong^, Fan Liu, Lei Zhu, Xun Yang, Meng Wang. Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation, ACM TORS, 2024. [CODE]
[3] Zhiyong Cheng, Sai Han^, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng. Multi-behavior Recommendation with Cascading Graph Convolution Networks. WWW 2023. (Acceptance rate: 19.2% )[CCF A][CODE]
[4] Ansong Li^, Zhiyong Cheng*, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng. Disentangled Graph Neural Networks for Session-based Recommendation, IEEE TKDE, 35(8): 7870-7882, 2023. [CCF A][Axiv][CODE]
[5] Fan Liu^, Zhiyong Cheng*, Lei Zhu, Chenghao Liu, Liqiang Nie*. An Attribute-aware Attentive GCN Model for Attribute Missing in Recommendation, IEEE TKDE, 34(9): 4077-4088 , 2022. [CCF A][PDF][CODE]
[6] Yangyang Guo^, Zhiyong Cheng*, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang. Enhancing Factorization Machines with Generalized Metric Learning, IEEE TKDE, 34(8): 3740-3753, 2022. [CCF A][PDF][CODE]
[7] Zhiyong Cheng, Fan Liu^, Shenghan Mei^, Yangyang Guo, Lei Zhu, Liqiang Nie. Feature-level Attentive ICF for Recommendation, ACM TOIS, 40(4): 75:1-75:24, 2022.[CCF A] [PDF][CODE]
[8] Haoyu Tang^, Jihua Zhu, Meng Liu, Zan Gao, Zhiyong Cheng*. Frame-wise Cross-modal Matching for Video Moment Retrieval, IEEE TMM, 24: 1338-1349, 2022. [PDF][CODE]
[9] Yangyang Guo^, Liqiang Nie*, Zhiyong Cheng*, Feng Ji, Ji Zhang, Alberto Del Bimbo. AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss, IJCAI 2021. (Acceptance rate: 13.9%) [CCF A][PDF]
[10] Xinxiao Zhao^, Zhiyong Cheng*, Lei Zhu, Jiecai Zheng, Xueqing Li. UGRec: Modeling Directed and Undirected Relations for Recommendation, SIGIR 2021. (Acceptance rate: 21%) [CCF A][CODE]
[11] Fan Liu^, Zhiyong Cheng*, Lei Zhu, Zan Gao, Liqiang Nie*. Interest-aware Message-Passing GCN for Recommendation, WWW 2021. (Acceptance rate: 20.6%) [CCF A][PDF][CODE]
[12] Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose C. Kanjirathinkal, Mohan Kankanhalli. MMALFM: Explainable Recommendation by Leveraging Reviews and Images, ACM TOIS, 37 (2), Article 16, 2019. [CCF A][PDF]
[13] Xinyu Guan^, Zhiyong Cheng*, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua. Attentive Aspect Modeling for Review-Aware Recommendation, ACM TOIS, 37 (3), Article 28, 2019. [CCF A] [PDF][CODE]
[14] Yangyang Guo^, Zhiyong Cheng*, Liqiang Nie*, Yinglong Wang, Jun Ma, Mohan Kankanhalli. Attentive Long Short-Term Preference Modeling for Personalized Product Search, ACM TOIS, 37 (2), Article 19, 2019. [CCF A] [PDF][CODE]
[15] Yangyang Guo^, Zhiyong Cheng*, Liqiang Nie*, Yibing Liu, Yinglong Wang and Mohan Kankanhalli. Quantifying and Alleviating the Language Prior Problem in Visual Question Answering, ACM SIGIR 2019. (Acceptance rate: 20%) [CCF A] [PDF]
[16] Fan Liu^, Zhiyong Cheng*, Changchang, Yinglong Wang, Liqiang Nie*, Mohan Kankanhalli. User Diverse Preference Modeling via Multimodal Attentive Metric Learning, ACM MM 2019. (Oral, Acceptance rate: 26.5%) [CCF A] [PDF][CODE]
[17] Yinwei Wei^, Zhiyong Cheng*, Xuzheng Yu, Zhou Zhao, Lei Zhu and Liqiang Nie*. Personalized Hashtag Recommendation for Micro-videos, ACM MM 2019. (Acceptance rate: 26.5%) [CCF A] [PDF] [CODE]
[18] Tao Zhuo, Zhiyong Cheng*, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Explainable Video Action Reasoning via Prior Knowledge and State Transitions, ACM MM 2019. (Oral, Acceptance rate: 26.5%) [CCF A] [CODE]