| 2026 | DASFAA | GBCG: Granular Ball and Counterfactual Guided Profile Injection Attack in Recommender Systems. | Yunmeng Zhao, Yuran He, Shenbao Yu, Ruihong Huang, Jiayin Li, Jun Shen, Jiayin Lin |
| 2026 | KSEM | Towards Knowledge-Driven Detection: A Multi-strategy Benchmark Dataset for AI-Assisted Academic Writing in Smart Education. | Chaoheng Zhang, Yuran He, Jiayin Lin |
| 2025 | CSCWD | Microatoll-GAN: A Generative Adversarial Network for Microatoll Detection in Assisting Monitoring Marine Fishery. | Jiayin Lin, Zhexuan Zhou, Qianfu Qiu, Runxiong Liu, Jun Shen, Yuanyuan Zhang |
| 2025 | CSCWD | Rethinking Privacy Protection for Recommender System in a Collaborative Way. | Yongpei Zhang, Shuang Li, Mingwei Lin, Jun Shen, Shenbao Yu, Jiayin Lin |
| 2025 | DASFAA | Enriching Complex Event Forecasting with Nested Patterns. | Yuhui Chen, Ruihong Huang, Jinbo Xiong, Li Lin, Jiayin Lin |
| 2025 | ICONIP | Item Popularity Attention for Mitigating Popularity Bias in Sequential Recommendation. | Zhewei Ding, Runxiong Liu, Mingwei Lin, Shenbao Yu, Jiayin Lin |
| 2025 | IJCNN | KAN-TSCN: A Kolmogorov-Arnold Networks Enhanced Framework for Temperature Forecasting. | Shuang Li, Yuanyuan Zhang, Jiayin Lin |
| 2024 | CSCWD | Enhancing Privacy Protection for Online Learning Resource Recommendation with Machine Unlearning. | Wenqin Li, Xinrong Zheng, Ruihong Huang, Mingwei Lin, Jun Shen, Jiayin Lin |
| 2024 | IJCNN | Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme. | Jiayi Huang, Yuanyuan Zhang, Renwan Bi, Jiayin Lin, Jinbo Xiong |
| 2024 | NPC | Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach. | Weijie Chen, Li Lin, Jinbo Xiong, Jiayin Lin, Ruihong Huang, Xing Wang |
| 2021 | ICONIP | MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. | Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Ping Yu, Tingru Cui, Li Li, Ghassan Beydoun |
| 2020 | AIED | Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. | Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen |
| 2020 | ICALT | Hybrid Translation and Language Model for Micro Learning Material Recommendation. | Jiayin Lin |
| 2020 | IJCNN | Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. | Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun |
| 2020 | ITS | Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. | Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen |
| 2020 | WISE | Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. | Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen |
| 2019 | CSCWD | A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER. | Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li |
| 2019 | IJCAI | A Robust Automated Pipeline for Localizing SEEG Electrode Contacts. | Zefan Lin, Guofu Wang, Jiaru Cheng, Yaoxin Lin, Jianping Liu, Jiayin Lin, Guomin Luan, Jie Luo |