- 1. Shengkai Sun^, Zefan Zhang, Jianfeng Dong, Zhiyong Cheng*, Xiaojun Chang, Meng Wang. Towards Efficient General Feature Prediction in Masked Skeleton Modeling. ICCV 2025, full paper, accepted. [CCF A]
- 2. Huilin Chen^, 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, full paper, accepted. [CCF A]
- 3. Jingyuan Fang^, Yang Ning, Xiushan Nie, Xinfeng Liu, Zhiyong Cheng. VLHP: Learning Discriminative Vision-Language Hybrid Prototypes for Weakly Supervised Semantic Segmentation. ACM MM 2025, full paper, accepted. [CCF A]
- 4. Mingshi Yan, Zhiyong Cheng, Yahong Han, Meng Wang. Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted. [CCF A]
- 5. Mingshi Yan^, Zhiyong Cheng, Fan Liu, Yingda Lyu. User Invariant Preference Learning for Multi-Behavior Recommendation. ACM Transactions on Information Systems (TOIS), accepted. [CCF A]
- 6. Fan Liu, Yaqi Liu, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. ACM Transactions on Information Systems (TOIS), accepted. [CCF A]
- 7. Fan Liu , Shuai Zhao^, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Cluster-based Graph Collaborative Filtering. ACM Transactions on Information Systems (TOIS), accepted. [CCF A][CODE]
- 8. Mingshi Yan^, 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].
- 9. 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]
- 10. 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]