职  称

讲师

电 话

0371-86609559

电子邮件

zcsun@zzuli.edu.cn

通信地址

郑州市高新区科学大道136号

研究方向

智能信息处理、个性化推荐

工作简历

2023年6月毕业于郑州大学，获工学博士学位，同年入职郑州轻工业大学从事教学科研工作。主要研究方向包括人工智能、智能信息处理、个性化推荐等。

科研项目

[1] 国家自然科学基金青年项目，流形学习驱动的几何多模态推荐方法研究，2025-2027，主持，在研

[2] 河南省科技攻关项目，全流形跨模态个性化内容推荐服务关键技术研究，2025-2026，主持，在研

学术及科研成果

代表性论文：

[1] Zhongchuan Sun, Liming Chen, Youwei Wang, Mingming Zhang, Yunpeng Wu, Yangdong Ye. Hyperbolic Adversarial Variational Embedding for Item Recommendation. Engineering Applications of Artificial Intelligence (EAAI), 2026. (中科院1区)

[2] Zhongchuan Sun, Bin Wu, Yifan Chen, and Yangdong Ye. Learning from the Future: Light Cone Modeling for Sequential Recommendation. IEEE Transactions on Cybernetics (TCYB), 2023. (中科院1区)

[3] Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, and Yangdong Ye. Attentive Adversarial Collaborative Filtering. IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2023. (中科院1区)

[4] Zhongchuan Sun, Bin Wu, Youwei Wang, and Yangdong Ye. Sequential Graph Collaborative Filtering. Information Sciences, 2022. (中科院1区)

[5] Zhongchuan Sun, Bin Wu, Yunpeng Wu, and Yangdong Ye. APL: Adversarial Pairwise Learning for Recommender Systems. Expert Systems With Applications (ESWA), 2019. (中科院1区)

[6] Qiang Guo, Bin Wu, Zhongchuan Sun, Haichuan Fang, Yangdong Ye. Knowledge-refined Information Bottleneck for Contrastive Recommendation. Expert Systems With Applications (ESWA), 2025. (中科院1区)

[7] Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, and Yangdong Ye. DCIB: Dual Contrastive Information Bottleneck for Knowledge-Aware Recommendation. Information Processing & Management (IPM), 2025. (中科院1区)

[8] Zhen Huang, Zhongchuan Sun, Jiaming Liu, and Yangdong Ye. Group-Aware Graph Neural Networks for Sequential Recommendation. Information Sciences, 2024. (中科院1区)

[9] Bin Wu, Xun Su, Jing Liang, Zhongchuan Sun, Lihong Zhong, and Yangdong Ye. Graph Gating-Mixer for Sequential Recommendation. Expert Systems With Applications (ESWA), 2024. (中科院1区)

[10] Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, and Yangdong Ye. Deep Purified Feature Mining Model for Joint Named Entity Recognition and Relation Extraction. Information Processing & Management (IPM), 2023. (中科院1区)

[11] Mingming Zhang, Dong Liu, Shizhe Hu, Xiaoqiang Yan, Zhongchuan Sun, and Yangdong Ye. Self-Supervised Temporal Autoencoder for Egocentric Action Segmentation. Engineering Applications of Artificial Intelligence (EAAI), 2023. (中科院1区)

[12] Qi Zhang, Bin Wu, Zhongchuan Sun, and Yangdong Ye. Gating Augmented Capsule Network for Sequential Recommendation. Knowledge-based Systems (KBS), 2022. (中科院1区)

[13] Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, and Yangdong Ye. ATM: An Attentive Translation Model for Next-Item Recommendation. IEEE Transactions on Industrial Informatics (TII), 2020. (中科院1区)

[14] 张明明，闫小强，孙中川，胡世哲，叶阳东. 自监督流形结构的第一视角视频时序分割算法. 计算机学报，2025.

[15] 张麒，吴宾，孙中川，叶阳东. 细粒度建模用户兴趣的序列化推荐方法. 中国科学：信息科学，2022.

[16] 吴宾，陈允，孙中川，叶阳东. 联合成对排序的物品推荐模型. 通信学报，2019.

授权发明专利：

[1] 叶阳东，孙中川，吴宾，吴云鹏. 一种基于成对对抗训练的推荐模型的方法，2018112651073

[2] 叶阳东，孙中川，吴宾. 一种基于对抗模型的推荐方法，2020100447222

[3] 叶阳东，张明明，闫小强，孙中川，胡世哲. 流形结构的视频时序分割方法，2023102035659

[4] 吴宾，时天任，孙中川，梁慧丹，叶阳东. 向序列化推荐的图耦合时间间隔网络研究，2023107497739