Huamin Ren

Scientific Publications

• Kisa, Ecmel S., Liu, Yajie & Ren, Huamin (2026). Do Macro-Level Health and Economic Indicators Improve Life Expectancy Prediction? Evidence from European Country-Level Data | Journal of Applied Business and Economics. Journal of Applied Business and Economics (JABE). ISSN 1499-691X. Vol. 28 No. 6 (2026) doi:
  10.33423/xzy6xm40
• Ren, Huamin, Imran, Ali Shariq & Olsen, Rasmus Løvenstein (2026). Trustworthy AI in Smart Grid Systems. IntechOpen. ISBN 9781836349372.
• Zavareh, Parvaneh, Soythong, Warunee, Noor, Basirah, Hoffmann, Volker & Ren, Huamin (2026). Deep Learning Based Non-Intrusive Load Monitoring for Smart Energy Management in Households. I Sultan, Vivian & Veith, Eric (red.) Proceedings of ENERGY 2026, The Sixteenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. International Academy, Research and Industry Association (IARIA). ISBN 9781685583576. p 25-31. doi:
  https://www.thinkmind.org/library/ENERGY/ENERGY_2026/energy_2026_2_30_30020.html
• Jensen, Markus Wiik, Ren, Huamin & Shalaginov, Andrii (2024). Day-ahead Electricity Price Forecasting of Elspot Markets in Norway. ENERGY, International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. ISSN 2308-412X. (1)
  FULLTEKST
• Ren, Huamin, Olsen, Rasmus Løvenstein & Schwefel, Hans-Peter (2024). How Much Measurement Data is Required for Day-ahead Load Forecasting while using Sequential Models? I 2024, . SmartGridComm (red.) 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids-SmartGridComm. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350318555. p 378-384. doi:
  10.1109/SmartGridComm60555.2024.10738033
• Jensen, Markus Wiik, Ren, Huamin & Shalaginov, Andrii (2024). Day-ahead Forecasting Electricity Spot Prices in Norway with ARIMA, XGBoost and LSTM Models. International Journal On Advances in Systems and Measurements. ISSN 1942-261X. 17(3&4) p 127-137.
• Ren, Huamin, Liu, Yajie & Paudel, Keshav Prasad (2023). Cod Catch Forecasting through Machine Learning Algorithms at the Haul Level. I Sehring, Hans-Werner, Chan, Steven, Caicedo-Castro, Isaac, Zhukov, Arcady & Sterritt, Roy (red.) IARIA Congress 2023 : The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications. International Academy, Research and Industry Association (IARIA). ISBN 9781685580896. p 123-128.
• Ren, Huamin, Su, Xiaomeng, Jenssen, Robert, Li, Jingyue & Anfinsen, Stian Normann (2022). Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring. I 2022, . IEEE SmartGridComm (red.) 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - SmartGridComm. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665432542. p 419-425. doi:
  10.1109/SmartGridComm52983.2022.9960976
• Ren, Huamin, Bianchi, Filippo Maria, Li, Jingyue, Olsen, Rasmus L., Jenssen, Robert & Anfinsen, Stian Normann (2021). Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms. I Pack, Sangheon (red.) Proceeding of the 2021 IEEE International Conference on Consumer Electronics (ICCE). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728197661. doi:
  10.1109/ICCE50685.2021.9427652
• Ren, Huamin, Nattiya, Kanhabua, Møgelmose, Andreas, Liu, Weifeng, Kulkarni, Kaustubh, Escalera, Sergio, Baro, Xavier & Moeslund, Thomas B. (2018). Back-Dropout Transfer Learning for Action Recognition. IET Computer Vision. ISSN 1751-9632. 12 (4) p 484-491.
• Ren, Huamin, Pan, Hong, Olsen, Søren Ingvor, Jensen, Morten Bornø & Moeslund, Thomas B. (2016). An in-depth study of sparse codes on abnormality detection. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509038114.
• Ren, Huamin, Liu, Weifeng, Olsen, Søren Ingvor, Escalera, Sergio & Moeslund, Thomas B. (2015). Unsupervised behavior-specific dictionary learning for abnormal event detection. The British Machine Vision Association (BMVA) Press. ISBN 9781901725360.
• Ren, Huamin & Moeslund, Thomas B. (2014). Action recognition using salient neighboring histograms. IEEE Computer Society Digital Library. ISBN 9781479923410.
• Ren, Huamin & Moeslund, Thomas B. (2014). Abnormal event detection using local sparse representation. IEEE Computer Society Digital Library. ISBN 9781479948710.
• Ren, Huamin, Moeslund, Thomas B. & Ramampiaro, Heri (2013). Small Vocabulary with Saliency Matching for Video Copy Detection. SciTePress. ISBN 9789898565488.
• Have, Simon Hartmann, Ren, Huamin & Moeslund, Thomas (2013). Real-time Multiple Abnormality Detection in Video Data. SciTePress. ISBN 9789898565488.
• Ren, Huamin, Ramampiaro, Heri, Zhang, Yongdong & Lin, Shouxun (2012). An incremental clustering based codebook construction in video copy detection. IEEE Computer Society Digital Library. ISBN 9781467318303.

Dissemination

• Ren, Huamin, Fredriksen, Helge, Fagerstrøm, Asle & Liu, Yajie (2026). Enhancing the Explainability of Fish Catch Forecasting Models. doi:
  https://virtual.oxfordabstracts.com/event/75716/program?f=helge fredriksen&date="2026-5-27"&g_submission=291&g_session=220518
• Souto, Farlon, Ren, Huamin & Su, Xiaomeng (2025). A Deep Dive into Regularization and Loss Functions for Appliance-Specific Deep Neural Networks.

• 2021 - now
  Associate professor
  Kristiania University College
• 2019 - 2021
  Researcher
  UiT
• 2017 - 2019
  Senior data scientist
  Inmeta Consulting AS

• 2013 - 2016
  Ph.D. in machine learning and computer vision
  Aalborg University
• 2003 - 2006
  Master of computer science
  China University of Petroleum