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Yuan Lin

- Associate Professor
School of Economics, Innovation and Technology

Background

Yuan Lin is an associate professor at Kristiania University College and teaches web development, cross-platform, agile project object-oriented programming and database related courses. Yuan Lin has published several research articles in international conferences and reputed journals. Her research interests include Applied Machine Learning, Medical AI, Health Informatics and Bioinformatics, Computer Vision. In 2009, she received her PhD from Center for Quantifiable Quality of Service, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. She also has 14 years of industrial experience as a full-stack developer and software architect.

Employee details

Scientific Publications
Lin, Yuan, Xie, Shaomin, Ghose, Debasish, Liu, Xiangrong, You, Junyong, Korhonen, Jari, Liu, Juan & Dash, Soumya P. (2024). FishIR: Identifying Pufferfish Individual Based on Deep Learning and Face Recognition. IEEE Access. ISSN 2169-3536. 12 p {0}. doi:
10.1109/ACCESS.2024.3390412

Ruan, Xinru, Jiang, Changzhi, Lin, Peixuan, Lin, Yuan, Liu, Juan, Huang, Shaohui & Liu, Xiangrong (2023). MSGCL: inferring miRNA–disease associations based on multi-view self-supervised graph structure contrastive learning. Briefings in Bioinformatics. ISSN 1467-5463. 24(2) doi:
10.1093/bib/bbac623

You, Junyong, Lin, Yuan & Korhonen, Jari (2023). Half of an Image is Enough for Quality Assessment. Proceedings of IEEE International Conference on Image Processing. ISSN 1522-4880. doi:
10.48550/arXiv.2301.12891

Lin, Yuan, Chu, Zhaoqi, Korhonen, Jari, Xu, Jiayi, Liu, Xiangrong, Liu, Juan, Liu, Min, Fang, Lvping, Yang, Weidi, Ghose, Debasish & You, Junyong (2023). Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-Scale Fish Dataset. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13833 p {0}. doi:
10.1007/978-3-031-27077-2_40

Jin, Shuting, Hong, Yue, Zeng, Li, Jiang, Yinghui, Lin, Yuan, Wei, Leyi, Yu, Zhuohang, Zeng, Xiangxiang & Liu, Xiangrong (2023). A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Computational Biology. ISSN 1553-734X. 19(11) doi:
10.1371/journal.pcbi.1011597

You, Junyong & Lin, Yuan (2022). Efficient Transformer with Locally Shared Attention for Video Quality Assessment. I Berthoumieu, Yannick & Frossard, Pascal (red.) 2022 IEEE International Conference on Image Processing (ICIP). IEEE conference proceedings. ISBN 9781665496209. p {0}. doi:
10.1109/ICIP46576.2022.9898025

Lin, Yuan, You, Junyong, Ghose, Debasish & Korhonen, Jari (2022). Identifying Pufferfish Specie Using Deep Neural Net- works And Face Embedding Method. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN 1892-0713.
FULLTEKST

Niu, Mengting, Lin, Yuan & Zhou, Quan (2021). sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks. Plant Molecular Biology. ISSN 0167-4412. doi:
10.1007/s11103-020-01102-y

Shen, Zijie, Lin, Yuan & Zhou, Quan (2020). Transcription factors-DNA interactions in rice: identification and verification. Briefings in Bioinformatics. ISSN 1467-5463. doi:
10.1093/bib/bbz045

Lin, Yuan, Liu, Xiangrong, Hong, Zengyan & Liu, Juan (2020). Computational methods for identifying the critical nodes in biological networks. Briefings in Bioinformatics. ISSN 1467-5463. doi:
10.1093/bib/bbz011

Qu, Kaiyang, Guo, Fei, Liu, Xiangrong, Lin, Yuan & Zhou, Quan (2019). Application of Machine Learning in Microbiology. Frontiers in Microbiology. ISSN 1664-302X. doi:
10.3389/fmicb.2019.00827

Lin, Yuan, Cai, Yinyin, Liu, Juan, lin, Chen & Liu, Xiangrong (2019). An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies. BMC Bioinformatics. ISSN 1471-2105. doi:
10.1186/s12859-019-2766-9

Ao, Chunyan, Yin, Shunshan, Lin, Yuan, Liu, Xiangrong & Zhou, Quan (2019). Review of Progress in Predicting Protein Methylation Sites. Current organic chemistry. ISSN 1385-2728. doi:
10.2174/1385272823666190723141347

Lin, Yuan, Skjetne, Paal & Carlson, Andreas (2012). A phase field model for multiphase electro-hydrodynamic flow. International Journal of Multiphase Flow. ISSN 0301-9322. 45 p {0}. doi:
10.1016/j.ijmultiphaseflow.2012.04.002

Lin, Yuan (2009). Resource Allocation through Encoding Algorithms for Real-time Video Communications. Tapir Akademisk Forlag.
Lin, Yuan, Shiomi, Junichiro, Maruyama, Shigeo & Amberg, Gustav (2009). Dielectric relaxation of water inside a single-walled carbon nanotube. Physical Review B. Condensed Matter and Materials Physics. ISSN 1098-0121. 80(4) doi:
10.1103/PhysRevB.80.045419

Lin, Yuan, Shiomi, Junichiro & Amberg, Gustav (2009). Numerical calculation of the dielectrophoretic force on a slender body. Electrophoresis. ISSN 0173-0835. 30(5) p {0}. doi:
10.1002/elps.200800599

Fidler, Markus, Lin, Yuan, Emstad, Peder Johannes & Perkis, Andrew (2007). Efficient Smoothing of Robust VBR Video Traffic by Explicit Slice-based Mode Type Selection. I Ukjent, Ukjent (red.) Consumer Communications and Networking Conference, 2007. CCNC 2007. 2007 4th IEEE. IEEE. ISBN 1-4244-0667-6. p {0}.
Lin, Yuan, Kim, Anna N., Gurses, Eren & Perkis, Andrew (2007). Rate-Distortion Optimized I-Slice Selection for Low Delay Video Transmission. I Lin, Yuan (red.) Proceedings of the IEEE 9th Workshop on Multimedia signal processing. IEEE Signal Processing Society. ISBN 1-4244-1274-9. p {0}.
Undheim, Astrid, Lin, Yuan & Emstad, Peder Johannes (2007). Characterization of Slice-based H.264/AVC Encoded Video Traffic. I Mammeri, Zoubir (red.) Proceedings of Fourth European Conference on Universal Multiservice Networks. IEEE (Institute of Electrical and Electronics Engineers). ISBN 978-0-7695-2768-0. p {0}.
Lin, Yuan, Kim, Anna N., Gurses, Eren & Perkis, Andrew (2007). On the Error Resilience of rate Smoothing Using Explicit Slice-based Mode Selection. I Lin, Yuan, Kim, Anna N., Gurses, Eren & Perkis, Andrew (red.) Proceedings of IEEE IEEE International Conference on Multimedia & Expo (ICME) 2007. IEEE Press. ISBN 1-4244-1017-7. p {0}.
Lin, Yuan (2007). Proceedings of the IEEE 9th Workshop on Multimedia signal processing. IEEE Signal Processing Society. ISBN 1-4244-1274-9.
Lin, Yuan, Kim, Anna N., Gurses, Eren & Perkis, Andrew (2007). Proceedings of IEEE IEEE International Conference on Multimedia & Expo (ICME) 2007. IEEE Press. ISBN 1-4244-1017-7.
Dissemination
Lin, Yuan, Gurses, Eren, Kim, Anna N. & Perkis, Andrew (2008). Concealment Aware Mode Selection for Power-Rate-Distortion Optimized H.264/AVC Encoder.
Lin, Yuan, Gurses, Eren, Kim, Anna N. & Perkis, Andrew (2008). Optimal Joint Power-Rate Adaptation for Error Resilient Video Coding.
Lin, Yuan, Kim, Anna N., Gurses, Eren & Perkis, Andrew (2007). On the Error Resilience of Rate Smoothing Using Explicit Slice-based Mode Selection.
Lin, Yuan, Kim, Anna N., Gurses, Eren & Perkis, Andrew (2007). RATE-DISTORTION OPTIMIZED I-SLICE SELECTION FOR LOW DELAY VIDEO TRANSMISSION.
Undheim, Astrid, Lin, Yuan & Emstad, Peder Johannes (2007). Characterization of Slice-based H.264/AVC Encoded Video Traffic.
Fidler, Markus, Lin, Yuan, Emstad, Peder Johannes & Perkis, Andrew (2007). Efficient Smoothing of Robust VBR Video Traffic by Explicit Slice-based Mode Type Selection.
2023 - now
Associate professor
Kristiania University College
2021 - 2023
Assistant professor
Kristiania University College
2019 - 2021
System developer
Sparebanken Vest
2013 - 2018
Application Analyst
DNB ASA
2005 - 2009
PhD in Telecommunication
Norwegian University of Science and Technology
LinkedIn
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Yuan Lin

Background

Employee details

Research

Scientific Publications

Dissemination

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