近年代表性论文 [DBLP][Google Scholar]：
(^ The students I advised when preparing the papers; * Corresponding author.)
Huilin Chen^(博士生), Zhiyong Cheng, Fan Liu, Zhangling Duan, Xun Yang, Meng Wang. Mutual Information-Based Privacy-Preserving Synthetic Data Generation for Recommendation Systems. ACM TOIS. [CCF A]
Huilin Chen^(博士生), Zhiyong Cheng, Fan Liu, Richang Hong, Meng Wang. LLM-Driven Aspect-based Semantic Alignment for Review-based Recommendation. ACM TORS 2026.
Jingzhi Li^(博士生), Zhiyong Cheng, Richang Hong, Meng Wang. Post-hoc Providre Fairness Adaptation via Hierarchical Exposure Alignment. SIGIR 2026. [CCF A]
Shenkai Sun^(博士生), Zhiyong Cheng, Zefan Zhang, Jianfeng Dong, Zhihui Li, Meng Wang. Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition. CVPR 2026. [CCF A]
Zhiyong Cheng, Yike Jin^(硕士生), Zhijie Zhang, Huilin Chen, Zhangling Duan, Meng Wang. Modeling Stage-wise Evolution of User Interests for News Recommendation. WWW 2026. [CCF A]
Miaomiao Cai (联合指导博士生), Zhijie Zhang^(硕士生), Junfeng Fang, Zhiyong Cheng , Xiang Wang, Meng Wang. RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors. WWW 2026. [CCF A]
Shengkai Sun^(博士生), Zefan Zhang, Jianfeng Dong, Zhiyong Cheng*, Xiaojun Chang, Meng Wang. Towards Efficient General Feature Prediction in Masked Skeleton Modeling. ICCV 2025, 12212-12221, 2025. [CCF A]
Huilin Chen^(博士生), Miaomiao Cai, Fan Liu, Zhiyong Cheng*, Richang Hong, Meng Wang. I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation. ACM MM 2025, 6133-6142, 2025. [CCF A]
Jingyuan Fang^(博士生), Yang Ning, Xiushan Nie, Xinfeng Liu, Zhiyong Cheng. VLHP: Learning Discriminative Vision-Language Hybrid Prototypes for Weakly Supervised Semantic Segmentation. ACM MM 2025, 2939-2948, 2025. [CCF A]
Mingshi Yan^ (博士生), Zhiyong Cheng, Yahong Han, Meng Wang. Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 37(10): 6020-6031, 2025. [CCF A]
Mingshi Yan^ (博士生), Zhiyong Cheng, Fan Liu, Yingda Lyu. User Invariant Preference Learning for Multi-Behavior Recommendation. ACM Transactions on Information Systems (TOIS), 43(4): 110:1-110:24, 2025. [CCF A]
Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. ACM TOIS, 43(2): 44:1-44:26, 2025. [CCF A]
Fan Liu , Shuai Zhao^(硕士生), Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Cluster-based Graph Collaborative Filtering. ACM Transactions on Information Systems (TOIS), 42(6): 167:1-167:24, 2024. [CCF A][CODE]
Mingshi Yan^ (联合指导博士生), Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han. Behavior-Contextualized Item Preference Network for Multi-Behavior Recommendation. ACM SIGIR 2024. [CCF A][CODE].
Mingshi Yan^ (联合指导博士生), 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]
Zhiyong Cheng, Jianhua Dong^(硕士生), Fan Liu, Lei Zhu, Xun Yang, Meng Wang. Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation, ACM TORS, 2(4): 31:1-31:27, 2024. [CODE]
Yu Zhang^(硕士生), Zhiyong Cheng*, Fan Liu, Xun Yang, Yuxin Peng. Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation. Information Processing & Management 61 (3), 103689, 2024. [CODE ]
Zhiyong Cheng, Sai Han^(硕士生), 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]
Ansong Li^ (实习生), 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]
Fan Liu^ (联合指导博士生), 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]
Yangyang Guo^ (联合指导博士生), 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]
Zhiyong Cheng, Fan Liu^ (联合指导博士生), Shenghan Mei^ (联合指导硕士生), 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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]