Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Jerry Chun-Wei Lin
Western Norway University of Applied Sciences, Bergen
Regular Member
Personal Web Site: http://ikelab.net
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=531
Short Biography
Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan in 2010. He is currently a full Professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 300 research articles in refereed journals (IEEE TKDE, IEEE TCYB, IEEE TII, IEEE ITS, IEEE TETCI, IEEE SysJ, IEEE SensJ, ACM TKDD, ACM TDS, ACM TMIS, ACM TOIT) and international conferences (IEEE ICDE, IEEE ICDM, PKDD, PAKDD). His research interests include data mining, soft computing, artificial intelligence and machine learning, and privacy preserving and security technologies. He is the Editor-in-Chief of the International Journal of Data Science and Pattern Recognition, the Guest Editor/Associate Editor of IEEE TII, ACM TMIS, IEEE Access, JIT, PlosOne, IDA, and IJIMAI. He is the Fellow of IET (FIET), senior member for both IEEE and ACM.
List of top 5 publications in the last 5 years
Youcef Djenouri, Gautam Srivastava, and Jerry Chun-Wei Lin, “Fast and Accurate Convolution Neural Network for Detecting Manufacturing Data,” IEEE Transactions on Industrial Informatics, 2020 Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, and Philip S. Yu, “A Survey of Utility-Oriented Pattern Mining,” IEEE Transactions on Knowledge and Data Engineering, 2019 Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, and Philip S. Yu, “A Survey of Parallel Sequential Pattern Mining,” ACM Transactions on Knowledge Discovery in Data, Vol. 13(3), Article No. 25, 2019 Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, and Ashish Tamrakar, “High- Utility Itemset Mining with Effective Pruning Strategies,” ACM Transactions on Knowledge Discovery from Data, Vol. 13(6), Article No. 58, 2019 Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, and Philip S. Yu, “HUOPM: High Utility Occupancy Pattern Mining,” IEEE Transactions on Cybernetics*, Vol. 50(3), pp. 1195–1208, 2019
List of top 5 academic activities during the last 5 years
IET Fellow, 2019/10 - now Paper Prize Award 2020 - Theory, “Mining of Skyline Patterns by Considering both Frequent and Utility Constraints,” Engineering Applications of Artificial Intelligence, 2020 2020 FUZZ-IEEE Best Paper Finalist, IEEE International International Conference on Fuzzy Systems (FUZZ-IEEE 2020) 2019 Most Cited Chinese Researchers Award, Elsevier 2018 Most Cited Chinese Researchers Award, Elsevier