Computational Intelligence LAB (CILAB)
Computational Intelligence LAB (CILAB)
Computational Intelligence Lab (CILAB) was founded in Feb. 2021 in the Department of Industrial Engineering and Engineering Management (IEEM), National Tsing Hua University (NTHU). Led by assistant professor Yu-Hsun Lin (Lyman), our team aims to design original methodologies and develop practical intelligent systems to meet different demands from industries.
Our lab is recruiting graduate students who have passion in:
Swarm Intelligence
Evolutionary Computation
Data Distribution Drift Issues in AI
Quality Engineering for Data Labeling Process
Developing Innovative Deep Learning & Machine Learning Algorithms;
AI for Medical Image Analysis;
Applications of AI + IoT (Internet-of-Things);
Applications of AI + Multimedia (e.g., Computer Vision, AR/VR);
Other Related Fields in Computational Intelligence
Prospective students are welcome to have a chat with me to better understand our topics and projects. Please send me an email with your resume (including your transcript and past projects) first to arrange the meeting time.
Our research work is accepted in IEEE TCSVT
Ting-Feng Huang, Yu-Hsun Lin, "Drop2Sparse: Improving Dataset Distillation via Sparse Model", IEEE Transactions on Circuits and Systems for Video Technology (SCIE, IF=8.3, Q1 in ENGINEERING, ELECTRICAL & ELECTRONIC) (Accepted)
Our research work is accepted in EAAI Journal
Yu-Hsun Lin, Yu-Mo Lin, "Bipolar Augmentation: Lightweight Artificial Intelligence Model Training for Anomaly Detection under Color Cast Scenarios", in Engineering Applications of Artificial Intelligence (EAAI), Vol. 145, April 2025, 110184 (SCIE, IF=7.5, Q1 in ENGINEERING, MULTIDISCIPLINARY, https://doi.org/10.1016/j.engappai.2025.110184)
Our research work is accepted in ASME Journal of Mechanical Design
Yu-Hsun Lin, Min-Chian Hung, Chen-Fan Lee, "Density-Refine: Patent Image Retrieval by Density based Region Extraction and Feature Fusion", in Journal of Mechanical Design (JMD), Aug. 2025, 147(8): 081703, (SCIE, IF=2.9, Q2 in ENGINEERING, MECHANICAL, https://doi.org/10.1115/1.4067749)
Welcome 李鎮帆、林宜叡、羅信達、蔡旻翰、楊詠清、江忻祐、王昀萱 join CILAB (2024/02, 2024/09)
Welcome 陳品佑、陳奕均、王鈺靜、曾聖閔、宋肇恆 join CILAB (2023/09)
2023 國立清華大學優良研究學者獎勵
2023 Grand Challenge Chair of ACM MM Asia 2023 (ACM Multimedia Asia)
Welcome 黃鼎峰、徐斯敏、黃玦頤、洪閔謙、林明聰 join CILAB (2022/09)
Yu-Hsun Lin is currently an Assistant Professor in the Department of Industrial Engineering and Engineering Management at National Tsing Hua University (NTHU), Taiwan. Dr. Lin received the B.S. degree in department of Electrical Engineering from National Cheng Kung University, Tainan, Taiwan (R.O.C.), in 2006. He received M.S. degree in department of Computer Science from National Tsing Hua University, Hsinchu, Taiwan (R.O.C.), in 2008. He received the Ph.D. degree from the Graduate Institute of Networking and Multimedia in National Taiwan University, Taipei, Taiwan (R.O.C.), in 2014. His research mainly focuses on computational intelligence (e.g., deep learning, AI plus Internet-of-Things, AI + multimedia applications).
Google Scholar Link: https://scholar.google.com/citations?user=mrK3FuEAAAAJ&hl=en
ORCID: https://orcid.org/0000-0002-6177-8639
Web of Science: https://www.webofscience.com/wos/author/record/HTN-0354-2023
2023 國立清華大學優良研究學者獎勵
2021 與廖崇碩老師共同指導學生團隊(鄭建澤、李哲安)參與2021年全國智慧製造大數據分析競賽(Intelligent Manufacturing and Big Data Analystics Contest 2021)-榮獲大專與研究生組首獎
2021 國立清華大學優秀新聘助理教授獎勵 (2021/02 - 2024/02)
2020 Highly Cited Paper (Top 1% in Engineering), Web of Science
2014 Ph.D. Dissertation Award (Honorable Mention), IICM (Institute of Information & Computing Machinery) Taipei, Taiwan
2014 Best Student Paper Award, International Workshop on Digital-Forensics and Watermarking Taipei, Taiwan
2014 Paper Award, Matlab & Simulink Tech Forum and Expo Hsinchu, Taiwan
2014 The Phi Tau Phi Scholastic Honor Society, Taipei, Taiwan
2013 MediaTek Fellowship, Hsinchu, Taiwan
Courses in Current Semester
2025 Spring 資料庫管理系統 "Database Management System"
Location: ENG I 827
Time: Tuesday 6, 7, 8 (週二 14:20-17:20)
The extra course enrollment is conducted in the class of 1st week only.
課程加簽僅在第1週的課程登記
Courses in Previous Semesters
2024 Fall 人工智慧 "Introduction to Artificial Intelligence"
2024 Fall 機器學習概論 "Introduction to Machine Learning"
2024 Spring 資料庫管理系統 "Database Management System"
2023 Grand Challenge Chair of ACM MM Asia 2023 (ACM Multimedia Asia)
2022 IEEE Member
2022 PC Member of MMM 2022 (International Conference on MultiMedia Modeling)
2021 TPC Member of ICCE 2021 (IEEE International Conference on Consumer Electronics)
Reviewer for Journals
IEEE Transactions on Multimedia
IEEE Transactions on Industrial Informatics
Reviewer for Conferences
ICME 2022 (IEEE International Conference on Multimedia & Expo)
MMM 2022 (International Conference on MultiMedia Modeling)
ICCE 2021 (IEEE International Conference on Consumer Electronics)