Hierarchical Sequence-to-Sequence Model for Multi-Label Text Classification. - Zhenyu Yang 002; Guojing Liu (IEEE Access, 2019)

GACOforRec: Session-Based Graph Convolutional Neural Networks Recommendation Model. - Mingge Zhang; Zhenyu Yang 002 (IEEE Access, 2019)

ATT-BM-SOM: A Framework of Effectively Choosing Image Information and Optimizing Syntax for Image Captioning. - Zhenyu Yang 002; Qiao Liu 005 (IEEE Access, 2020)

WGIN: A Session-Based Recommendation Model Considering the Repeated Link Effect. - Zhenyu Yang 002; Hao Wang 091; Mingge Zhang (IEEE Access, 2020)

TextOG: A Recommendation Model for Rating Prediction Based on Heterogeneous Fusion of Review Data. - Zhenyu Yang 002; Mingge Zhang (IEEE Access, 2020)

Better Understanding: Stylized Image Captioning with Style Attention and Adversarial Training. - Zhenyu Yang 002; Qiao Liu 005; Guojing Liu (Symmetry, 2020)

Virtual label expansion-Highlighted key features for few-shot learning. - Xinlong Hu; Zhenyu Yang 002; Guojing Liu; Qiao Liu 005; Hao Wang 091 (IJCNN, 2021)

Aspect-Based Capsule Network With Mutual Attention for Recommendations. - Zhenyu Yang 002; Xuesong Wang 001; Yuhu Cheng; Guojing Liu (IEEE Trans. Artif. Intell., 2021)

MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information. - Laiping Cui; Zhenyu Yang 002; Guojing Liu; Yu Wang; Kaiyang Ma (ICONIP (4), 2022)

CATM: Candidate-Aware Temporal Multi-head Self-attention News Recommendation Model. - Laiping Cui; Zhenyu Yang 002; Yu Wang; Kaiyang Ma; Yiwen Li (ICONIP (6), 2022)

Feature-based Data Augmentation Approach for Sequential Recommendation. - Kaiyang Ma; Zhenyu Yang 002; Yu Wang; Laiping Cui (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Two-Stage Aspect Sentiment Quadruple Prediction Based on MRC and Text Generation. - Zhijun Li; Zhenyu Yang 002; Xiaoyang Li; Yiwen Li (SMC, 2023)

Fusing collaborative transformation with temporally aware target interaction networks for sequential recommendation. - Kaiyang Ma; Zhenyu Yang 002; Yu Wang; Laiping Cui; Wenfeng Jiang (Int. J. Mach. Learn. Cybern., 2023)

Recommendation model based on multi-grained interaction that fuses users' dynamic interests. - Zhenyu Yang 002; Yu Wang; Guojing Liu; Zhe Li; Xingang Wang (Int. J. Mach. Learn. Cybern., 2023)

Recommendation Model Based on Enhanced Graph Convolution That Fuses Review Properties. - Zhenyu Yang 002; Yu Wang; Yuhu Cheng; Tong Zhang 015; Xuesong Wang 001 (IEEE Trans. Comput. Soc. Syst., 2023)

MIAR: Interest-Activated News Recommendation by Fusing Multichannel Information. - Zhenyu Yang 002; Laiping Cui; Xuesong Wang 001; Tong Zhang 015; Yuhu Cheng (IEEE Trans. Comput. Soc. Syst., 2023)

HGTA: News Recommendation Based on Hierarchical Granular Semantic Embeddings and Threshold Attention. - Yiwen Li; Zhenyu Yang 002; Zhijun Li; Xiaoyang Li (CSCWD, 2024)

Implementing Dialogue Emotion Recognition via Recursive Propagation of Explicit Emotions. - Zhibo Zhang; Zhenyu Yang 002; Wenyue Hu; Baojie Xu; Yan Huang (ICIC (LNAI 3), 2024)

Disentangling Interest and Conformity Representation to Mitigate Popularity Bias for Sequential Recommendation. - Wenyue Hu; Zhenyu Yang 002; Yan Huang; Zhibo Zhang; Baojie Xu (IJCNN, 2024)

Emotion Recognition in Conversation Based on a Dynamic Complementary Graph Convolutional Network. - Zhenyu Yang 002; Xiaoyang Li; Yuhu Cheng; Tong Zhang 015; Xuesong Wang 001 (IEEE Trans. Affect. Comput., 2024)

Debiased Sequential Recommendation via Multi-intent Disentanglement and Conformity-Aware Contrastive Learning. - Ziyu Chen; Zhenyu Yang 002; Haozhi Xia; Xiaoyang Wang; Xueli Chang (ICIC (8), 2025)

Multi-Dimensional Spatiotemporal Modeling for Multimodal Emotion Recognition in Conversations. - Xiaoyang Wang; Zhenyu Yang 002; Xueli Chang; Ziyu Chen; Haozhi Xia (ICIC (21), 2025)