Jiayin Lin

According to our database, Jiayin Lin authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents.

Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun

CoRR, 2024

Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme.

Jiayi Huang, Yuanyuan Zhang, Renwan Bi, Jiayin Lin, Jinbo Xiong

Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Privacy Protection for Online Learning Resource Recommendation with Machine Unlearning.

Wenqin Li, Xinrong Zheng, Ruihong Huang, Mingwei Lin, Jun Shen, Jiayin Lin

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection.

Zhixia Zeng, Ruliang Xiao, Xinhong Lin, Tianjian Luo, Jiayin Lin

Inf. Process. Manag., May, 2023

Object-aware Policy Network in Deep Recommender Systems.

Guoqiang Zhou, Zhangxian Xu, Jiayin Lin, Shudi Bao, Liliang Zhou, Jun Shen

J. Signal Process. Syst., March, 2023

2022

Study of the Effect of the Segmentation Method on the Power Generation Performance of Rectangular Piezoelectric Energy Harvester.

Xiaochao Tian, Jinlong Liu, Jiayin Lin, Shenfang Li, Zhicong Wang, Jun Hou, Sida Zhang, Zhigang Yang, Jinzhi Zhu

J. Sensors, 2022

From computer vision to short text understanding: Applying similar approaches into different disciplines.

Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun

Intell. Converged Networks, 2022

An incentive mechanism for collaborative intelligence.

Li Lin, Yuanyuan Zhang, Jinbo Xiong, Jiayin Lin

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

2021

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

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning.

Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen

World Wide Web, 2020

Refinement and augmentation for data in micro open learning activities with an evolutionary rule generator.

Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Mahesh Kayastha

Br. J. Educ. Technol., 2020

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

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

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

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Hybrid Translation and Language Model for Micro Learning Material Recommendation.

Jiayin Lin

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

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

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Adaptive Micro Learning - Using Fragmented Time to Learn

Geng Sun, Jun Shen, Jiayin Lin

Intelligent Information Systems 5, WorldScientific, ISBN: 9789811207471, 2020

2019

Towards the Readiness of Learning Analytics Data for Micro Learning.

Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li, Ghassan Beydoun

Proceedings of the Services Computing - SCC 2019, 2019

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

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

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

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

2018

Evaluating the Stability of Muscle Synergies during Circle Tracking.

Jiayin Lin, Mengying Fan, Jie Luo

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018

Ensemble Machine Learning Systems for the Estimation of Steel Quality Control.

Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners.

Geng Sun, Tingru Cui, Fang Dong, Dongming Xu, Jun Shen, Shiping Chen, Jiayin Lin

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018