About
The RAISE Lab is led by Cheng-Yaw Low, Assistant Professor in the Department of AI Convergence Engineering at Changwon National University. Guided by “Responsible AI (for Sustainability & Equity),” the lab advances AI research that promotes social good and contributes to the UN Sustainable Development Goals (SDGs).
Research Areas: Computer vision and generative models; multimodal data learning; remote-sensing and applications; computational science and data-driven modeling.
Emerging Directions: Ecological AI for biodiversity conservation and environmental monitoring; geospatial AI for spatiotemporal modeling and Earth observation; maritime AI for maritime security using remote sensing and multimodal perception; responsible AI learning frameworks (FATE principles with robustness) for real-world deployment.
News
- Sep. 09, 2026: Presented our work at ECCV 2026 in Malmö, Sweden
- Sep. 08, 2026: Recognized as one of the winning teams (CWNU AIX) in the Computer Vision for Ecology (CV4E) Challenge at ECCV 2026 in Malmö, Sweden
- Sep. 07, 2026: Delivered an Invited Talk at Max Planck Institute for Security and Privacy (MPI-SP), Germany
- June 18, 2026: Our work has been accepted to ECCV 2026.
- Paper Title: Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy
- June 17, 2026: Serving as Guest Editor for two MDPI Special Issues.
- Applied Sciences: Emerging Trends and Applications in Computer Vision
- SCIE & Scopus Indexed / JCR Impact Factor: 2.9 (2025)
- Technologies: Advanced Technologies in Computer Vision and Applications
- Web of Science ESCI & Scopus Indexed / JCR Impact Factor: 5.2 (2025)
- Applied Sciences: Emerging Trends and Applications in Computer Vision
- May 27-29, 2026: Delivered an Invited Talk at University of Nottingham Ningbo China.
- May 01, 2026: Our work has been accepted to ICML 2026.
- Paper Title: Textual Supervision Enhances Geospatial Representations in Vision-Language Models
- Apr. 13, 2026: Co-organizing Global South Machine Learning ICML 2026 Workshop
- 📆 July 9, 2026 / ⏰ 8:00 AM–5:00 PM /📍 Seoul, South Korea.
- Jan. 26, 2026: Recipeint of the 3MT People’s Choice Award, AAAI 2026 (Empowering Global South AI).
- Jan. 20–27, 2026: I will be attending the AAAI 2026 in Singapore. I look forward to connecting with researchers and AI practitioners. Please feel free to reach out at chengyawlow@changwon.ac.kr
- Sep. 01, 2025: Established the RAISE Lab (책임 인공지능 연구실)
- Sep. 01, 2025: Joined Deparment of AI Convergence Engineering, Changwon National University, South Korea, as an Assistant Professor.
- July 31, 2025: Our conference article has been accepted by the 2025 International Conference on Information Technology for Social Good, Antwerp, Belgium.
- July 4, 2025: Delivered a Guest Lecture on Responsible AI Ruhr University Bochum (RUB), Germany.
- Mar. 27, 2025: Awarded the Amazon Research Award (ARA) – Fall 2024 Cycle (Sustainability)
- Mar. 14, 2025: Our journal article has been accepted by the Information Fusion (SCIE, IF 14.8).
Prior to 2024
- Nov. 22, 2024: Joining the Max Planck Institute for Security and Privacy (MPI-SPI), Germany, starting February 2025.
- Sep. 23, 2024: Delivering an invited talk (special lecture series in AI) with Seoul National University of Science and Technology (SeoulTech), South Korea.
Talk Title: Ensuring Privacy and Fairness: Face Recognition in the Era of Synthetic Data - Sep. 07, 2024: Securing a position as one of the winning teams in the Computer Vision for Ecology - Marine Species Classification Challenge, held in conjunction with the European Conference on Computer Vision (ECCV) 2024.
- June 25, 2024: Our journal article has been accepted by the IEEE TIFS (SCIE, IF 6.3).
Paper Title: Uncertainty-Aware Face Embedding with Contrastive Learning for Open-Set Evaluation - June 18, 2024: Attending the CVPR 2024 for an oral presentation.
Paper Title: Face Recognition Challenge in the Era of Synthetic Data - May 13, 2024: Delivering an invited talk (online) with Anhui University, China.
Talk Title: Ensuring Privacy and Fairness: Face Recognition in the Era of Synthetic Data - May 02, 2024: Visiting the Max Planck Institute for Security and Privacy, Bochum, Germany.
Talk Title: Unlocking Fairness: Progressing Beyond Bias in Generative Models - Apr. 29, 2024: Attending Machine Behavior Conference, Berlin, Germany.
- Apr. 11, 2024: Securing a position as one of the winning teams in the Face Recognition Challenge in the Era of Synthetic Data, held in conjunction with the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024.
- Feb. 01, 2024: Our journal article has been published in the IEEE TIFS (SCIE, IF 6.3).
Paper Title: Self-Attentive Contrastive Learning for Conditioned Periocular and Face Biometrics - Dec. 20–22, 2023: Attended KSC 2023 (represented by undergraduate intern Kaleb Asfaw) for an oral presentation.
Paper Title: Relaxing Gender Constraint for Identity-Consistent Face Synthesis - Nov. 29, 2023: Visited the University of Cambridge for a project discussion.
Project Title: Bridging the Gap: Advancement in Biometrics for Forest Management - Nov. 20–24, 2023: Attended BMVC 2023 for an oral presentation.
Paper Title: SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition - Nov. 03, 2023: Delivered a talk in the KAIST Urban X Seminar Series.
Talk Title: Cultivating Greener Cities: Unveiling the Power of Forest Biometrics in Urbanization - June 18–22, 2023: Attended CVPR 2023 for a poster presentation.
Paper Title: Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation