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2020 – today
- 2024
[c15]Wenqin Li, Xinrong Zheng, Ruihong Huang, Mingwei Lin, Jun Shen
, Jiayin Lin:
Enhancing Privacy Protection for Online Learning Resource Recommendation with Machine Unlearning. CSCWD 2024: 3282-3287- [c14]Jiayi Huang, Yuanyuan Zhang, Renwan Bi, Jiayin Lin, Jinbo Xiong:
Knowledge Distillation Enables Federated Learning: A Data-free Federated Aggregation Scheme. IJCNN 2024: 1-7 - [i1]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:
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. CoRR abs/2409.03512 (2024) - 2023
- [j6]Zhixia Zeng, Ruliang Xiao, Xinhong Lin, Tianjian Luo, Jiayin Lin:
Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection. Inf. Process. Manag. 60(3): 103306 (2023) - [j5]Guoqiang Zhou, Zhangxian Xu, Jiayin Lin, Shudi Bao, Liliang Zhou, Jun Shen:
Object-aware Policy Network in Deep Recommender Systems. J. Signal Process. Syst. 95(2-3): 271-280 (2023) - 2022
- [j4]Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
From computer vision to short text understanding: Applying similar approaches into different disciplines. Intell. Converged Networks 3(2): 161-172 (2022) - [j3]Xiaochao Tian, Jinlong Liu, Jiayin Lin, Shenfang Li, Zhicong Wang, Jun Hou, Sida Zhang, Zhigang Yang, Jinzhi Zhu:
Study of the Effect of the Segmentation Method on the Power Generation Performance of Rectangular Piezoelectric Energy Harvester. J. Sensors 2022: 1-7 (2022) - [c13]Li Lin, Yuanyuan Zhang, Jinbo Xiong, Jiayin Lin:
An incentive mechanism for collaborative intelligence. RACS 2022: 112-118 - 2021
- [c12]Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Ping Yu, Tingru Cui, Li Li, Ghassan Beydoun:
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. ICONIP (6) 2021: 459-467 - 2020
- [b1]Geng Sun, Jun Shen, Jiayin Lin:
Adaptive Micro Learning - Using Fragmented Time to Learn. Intelligent Information Systems 5, WorldScientific 2020, ISBN 9789811207457, pp. 1-152 - [j2]Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Mahesh Kayastha:
Refinement and augmentation for data in micro open learning activities with an evolutionary rule generator. Br. J. Educ. Technol. 51(5): 1843-1863 (2020) - [j1]Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen:
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning. World Wide Web 23(3): 1747-1767 (2020) - [c11]Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen:
Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. AIED (2) 2020: 168-173 - [c10]Jiayin Lin:
Hybrid Translation and Language Model for Micro Learning Material Recommendation. ICALT 2020: 384-386 - [c9]Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. IJCNN 2020: 1-10 - [c8]Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen:
Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. ITS 2020: 432-440 - [c7]Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen:
Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. WISE (1) 2020: 461-473
2010 – 2019
- 2019
- [c6]Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li:
A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER. CSCWD 2019: 152-157 - [c5]Zefan Lin, Guofu Wang, Jiaru Cheng, Yaoxin Lin, Jianping Liu, Jiayin Lin, Guomin Luan, Jie Luo:
A Robust Automated Pipeline for Localizing SEEG Electrode Contacts. HBAI@IJCAI 2019: 36-51 - [c4]Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li, Ghassan Beydoun:
Towards the Readiness of Learning Analytics Data for Micro Learning. SCC 2019: 66-76 - 2018
- [c3]Geng Sun, Tingru Cui, Fang Dong, Dongming Xu, Jun Shen, Shiping Chen, Jiayin Lin:
(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners. IEEE CLOUD 2018: 586-589 - [c2]Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen:
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. IEEE BigData 2018: 2245-2252 - [c1]Jiayin Lin, Mengying Fan, Jie Luo:
Evaluating the Stability of Muscle Synergies during Circle Tracking. CBS 2018: 568-571
Coauthor Index
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