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Professor Winston Hsu is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served as a full professor since 2015. He is the co-director of the Communications and Multimedia Laboratory (CMLab) and founder of the MiRA (Multimedia indexing, Retrieval, and Analysis) research group. Additionally, he serves as the Founding Director for NVIDIA AI Lab at NTU, the first such lab in Asia. Professor Hsu received his Ph.D. in Electrical Engineering from Columbia University in 2007 under the supervision of Professor Shih-Fu Chang. Prior to his academic career, he was a founding engineer and research manager at CyberLink Corp., now a public image/video software company. National Taiwan University (2007-Present): Professor (2015-Present), Assistant/Associate Professor (2007-2015) MobileDrive (2021-2024): CTO and Vice President (Joint Venture between Foxconn and Stellantis) IBM TJ Watson Research Center (2016-2017): Visiting Scientist Microsoft Research Redmond (2014): Visiting Researcher Columbia University (2007): Ph.D. in Electrical Engineering Professor Hsu's research focuses on machine learning, computer vision, large-scale image and video search and recognition, and embedded AI. His work spans from fundamental research in visual recognition to practical applications in automotive systems, medical imaging, and e-commerce. He has pioneered work in disguised face recognition, low-resolution face hallucination, 3D model search, and virtual try-on systems. His current research emphasizes Embodied AI, integrating perception, action, and learning technologies for applications in automotive and robotics domains. His research group has produced numerous influential publications, particularly in top computer vision and multimedia conferences like CVPR, where they won first place in the Disguised Face Recognition competition in 2018. Their work spans diverse application areas including security, medical diagnostics, automotive systems, and e-commerce solutions, demonstrating strong translation from academic research to real-world impact. IBM Research Pat Goldberg Memorial Best Paper Award (2018) First Place, IARPA Disguised Faces in the Wild Competition (CVPR 2018) Best Brave New Idea Paper Award, ACM Multimedia 2017 NVIDIA AI LAB Award (First in Asia, 2016) First Place, MSR-Bing Image Retrieval Challenge (2013) World's Top 2% Scientists (2023) Professor Hsu actively mentors students and researchers, with his group consistently recruiting PhD students, postdocs, and research assistants. He has successfully bridged academia and industry through multiple collaborations, including his role as CTO at MobileDrive (a joint venture between Foxconn and Stellantis) from 2021-2024. His research has been supported by significant industry partnerships with Microsoft, IBM, and NVIDIA, as well as government grants from Taiwan's Ministry of Science and Technology. His laboratory, the Communications and Multimedia Laboratory (CMLab), maintains strong industry connections and focuses on cutting-edge research in visual AI. The lab has produced numerous award-winning projects and maintains active collaborations with global technology companies, particularly in the automotive and consumer electronics sectors.

• Machine Learning
• Computer Vision
• Large-scale Image and Video Search
• +6 more

Shang-Tse Chen is an Associate Professor at the Department of Computer Science and Information Engineering and Graduate Institute of Networking and Multimedia , National Taiwan University . He leads the NTU AI Security Lab , focusing on applied and theoretical machine learning with emphasis on cybersecurity, adversarial ML, and ML privacy/fairness. Education: PhD in Computer Science (Georgia Tech, 2019), BSc in CSIE (NTU, 2010) Awards: K. T. Li Young Researcher Award (2025), IBM PhD Fellowship (2018), KDD Best Student Paper Runner-Up (2016), NSF SaTC Grant (2017-2021) His research spans adversarial ML, certified defenses, model inversion attacks, and intersection with differential privacy/fairness. Recent work includes physical adversarial attacks on object detectors and practical defenses using JPEG compression. He teaches courses like Security and Privacy of Machine Learning and Introduction to Medical Informatics . Key publication trends show focus on adversarial robustness (ICML/NeurIPS/ICLR), cybersecurity applications (ACSAC), and ML fairness (ACL/EMNLP). Collaborations include industry partnerships with Intel Labs and Symantec. Scientific Awards: K. T. Li Young Researcher Award (2025) ACM TiiS Best Paper Honorable Mention (2020) IBM PhD Fellowship (2018) KDD Audience Appreciation Award Runner-Up (2018) Symantec Fellowship Runner-Up (2016) KDD Best Student Paper Runner-Up (2016) NSF Grant (2017) He advises 13 current students (PhD/MS/Undergrad) and has mentored alumni now at CMU/UC Berkeley. The lab actively recruits postdocs and students across levels.

• Machine Learning
• Data Mining
• Cybersecurity
• +5 more

Professor Yun-Nung Chen works at the Department of Computer Science and Information Engineering , National Taiwan University , focusing on Natural Language Processing and Dialogue Systems . With a Ph.D. from Carnegie Mellon University , their research bridges Machine Learning and Language Understanding in conversational AI. Education Ph.D. in Language Technologies, Carnegie Mellon University (2015) M.S. in Computer Science, National Taiwan University (2011) B.S. in Computer Science, National Taiwan University (2009) Research Trends Recent work emphasizes Retrieval-Augmented Generation , Knowledge Editing in LLMs , and Temporal Modeling for dialogue systems. Key themes include cross-modal understanding , semantics-driven dialogue , and robust language modeling across domains. Scientific Recognition Best Student Paper, IEEE ASRU 2013 Best Student Paper, IEEE SLT 2010 Distinguished Master Thesis, ACLCLP 2011 Best Paper Finalist, ISCA INTERSPEECH 2012 Current projects involve StreamBench for continuous agent improvement and Taiwan LLM for culturally aligned language models.

• Natural Language Processing (NLP)
• Dialogue Systems
• Machine Learning
• +3 more

Robert Hsu is Chair Professor and Dean of the College of Information and Electrical Engineering at Asia University, Taiwan, and holds concurrent appointments as Professor at National Chung Cheng University. He serves as President of the Taiwan Association of Cloud Computing and Research Consultant at China Medical University Hospital. His research spans parallel and distributed computing , cloud and edge systems , AI , and medical applications , with over 350 publications in top venues like IEEE TPDS, IEEE TSC, and ACM TOMM. Editor-in-Chief of International Journal of Grid and High Performance Computing Founding Editor-in-Chief of International Journal of Big Data Intelligence Advisory roles in 10+ journals including IEEE Transactions on Cloud Computing His research focuses on cloud-edge collaboration , AI for medical imaging , IoT security , and big data analytics . Key projects include federated learning frameworks for multi-institutional healthcare, optimization techniques for UAV-assisted MEC, and blockchain-based security solutions. His 15 most recent articles highlight advancements in malware detection, resource orchestration in edge environments, and lightweight AI models for retail and rural applications. Scientific accolades include: Stanford University's World's Top 2% Scientists (2020-2023) Best Paper Awards at IEEE ICEIB 2023 and SysCom 2021 Over 25 grants from Ministry of Science and Technology and Ministry of Education Leadership roles as IEEE TCCLD Chair and Steering Committee member He has supervised 30+ PhD/Master's students , including Shih-Chang Chen (2010), Tai-Lung Chen (2010), and Nithin Melala Eshwarappa (2020). His laboratory focuses on edge computing , cloud systems , and AI-driven solutions for healthcare and urban infrastructure.

• Parallel and Distributed Computing
• Cloud Computing
• Big Data Analytics
• +4 more

Dr. Yu Fang is an Associate Professor in the Department of Information Management at National Chengchi University's College of Business in Taipei, Taiwan. With a strong academic foundation from National Taiwan University (BS and MS) and a PhD in Computer Science from the University of California, Santa Barbara, Dr. Fang has established herself as a prominent researcher in software security and formal methods, with recent expansion into AI security domains. PhD in Computer Science, University of California, Santa Barbara (2005-2010) MS in Information Management, National Taiwan University (1998-2000) BS in Information Management, National Taiwan University (1994-1998) Dr. Fang's research spans software security, formal verification, and string analysis, with significant contributions to vulnerability detection in web applications, static analysis of mobile applications, and more recently, security and testing of neural networks. Her work bridges theoretical formal methods with practical security applications, particularly in the context of modern software systems and AI technologies. The evolution of her research shows a clear trajectory from traditional software security toward addressing emerging challenges in AI security, including adversarial examples, deepfake detection, and fairness verification in machine learning models. Analysis of Dr. Fang's recent publications reveals a strategic expansion of her research focus. While maintaining her strong foundation in software security and formal methods, she has successfully transitioned into the rapidly evolving field of AI security. Her work now addresses critical challenges such as adversarial example detection using explainability methods (DeepSHAP), concolic testing for neural network fairness verification, and defenses against deepfake attacks. This represents a natural progression from her earlier work on string analysis and vulnerability detection in traditional software systems. Senior Excellent Teacher (10 years) award from National Chengchi University National Science Council (now Ministry of Science and Technology) Research Award Dr. Fang has secured substantial research funding, particularly from Taiwan's Ministry of Science and Technology, with current projects focusing on neural network automated testing and AI security. Her research group maintains active collaborations with both academic and industry partners, particularly in the financial technology sector where security and regulatory compliance are paramount. While specific lab affiliations aren't explicitly mentioned in the provided information, her research profile suggests strong connections to the Software Security Laboratory within the Department of Information Management.

• Software security
• Formal verification
• String analysis
• +3 more

Chu-Song Chen is a Professor and Department Head at the National Taiwan University (NTU), specifically within the Department of Information Engineering under the College of Electrical Engineering and Computer Science. He leads the Artificial Intelligence Application and Integration (AI²) Laboratory and specializes in advanced computational fields such as deep learning, computer vision, and big data analysis. His research focuses on integrating artificial intelligence technologies into practical applications, emphasizing areas like image processing, medical imaging, and multimedia systems. While no specific educational credentials or scientific awards are listed in the provided text, his work has established significant expertise in AI-driven solutions for complex data challenges. As a full-time faculty member, he maintains active academic engagement through teaching, research leadership, and collaboration. His contact information is publicly available via his institutional email address ( chusong@csie.ntu.edu.tw ), and further details about his work can be explored on his personal website.

• Deep learning
• Computer vision
• Machine learning
• +4 more

Wei Chao Chen serves as a Visiting Professor within the Department of Information Engineering at the Institute of Information Network and Multimedia, maintaining active academic engagement through specialized industry collaboration. His research program spans four interconnected pillars of modern computing: Computer graphics for visual content generation and rendering Computer vision for image/video analysis and recognition systems Computing architecture for hardware optimization Artificial intelligence for algorithmic intelligence development These domains collectively advance multimedia technology infrastructure with direct industrial applications, particularly through his affiliation with Inventec Corporation as evidenced by institutional email correspondence.

• Computer graphics
• computer vision
• computing architecture
• +1 more

LC Fu is a Distinguished Professor in the Department of Information Engineering at National Taiwan University. Affiliated with the Intelligent Robotics and Automation Laboratory, their research expertise spans smart home systems, robotics, virtual reality, forward-looking vision applications, and evolutionary computing. Fields of Interest : Smart home, Smart robots, Virtual reality, Forward-looking vision applications, Evolutionary computing and applications Laboratory : Intelligent Robotics and Automation Laboratory Contact : Office located at room 533; email lichen@csie.ntu.edu.tw for appointment

• Smart home
• Smart robots
• Virtual reality
• +2 more

Jie-Fan Chang is an Assistant Professor at the Department of Information Engineering, College of Engineering, National Taiwan University. His research focuses on advanced computational techniques in medical imaging and computer vision. Research Expertise: Deep Learning, Convolutional Neural Networks, Breast Density Analysis, Medical Image Processing, Computer Vision, and Image/Video Forensics. Contact: jfanc@csie.ntu.edu.tw . Office: Room 313, Department Extension: 313. More information available on his personal website .

• Deep Learning
• Convolutional Neural Network
• Breast Density
• +3 more

YY Chuang is a Professor at the Department of Information Engineering, National Taiwan University. He leads the Communications and Multimedia Laboratory, focusing on computer graphics, computer vision, multimedia systems, and digital effects production. Office hours are held on Wednesdays (16:00–17:00) in Room R527, with appointments available via email.

• Computer Graphics
• Computer Vision
• Digital Special Effects Production
• +1 more

Chiou-Shann Fuh is a Full-Time Professor at the Department of Computer Science and Information Engineering, National Taiwan University. His research focuses on Computer Vision , Digital Image Processing , and applications in digital camera technologies, industrial automation, and optical systems. Education: B.S. (1983), M.S. (1985), Ph.D. (1992) in Computer Science Editorial Roles: Associate Editor for IJPRAI (2021–present) and JRTIP (2021–present) Hobbies: Commercial/private pilot licenses, flight instructor certifications, and ultralight aviation His laboratory, the Digital Camera and Computer Vision Laboratory , specializes in ISP/OIS systems, color calibration, and defect inspection technologies. Office hours are held every Tuesday from 10:00–12:00 in Room 327.

• Computer Vision
• Digital Image Processing
• Digital Cameras
• +3 more

Tsung-Wei Ke serves as an Assistant Professor within the Department of Information Engineering at National Taiwan University. As a full-time faculty member, he leads the Embodied Artificial Intelligence Laboratory while actively contributing to academic instruction and research initiatives at the institution. His research centers on embodied artificial intelligence, integrating computer vision for environmental perception, robotics for physical interaction, and machine learning for adaptive decision-making. This interdisciplinary approach focuses on developing systems where intelligent agents learn through sensorimotor experiences in complex environments, bridging theoretical algorithms with real-world applications in autonomous systems. The Embodied Artificial Intelligence Laboratory serves as the primary research hub for his work, facilitating experimental development in vision-based robotic control and learning frameworks. The lab environment emphasizes hands-on experimentation with physical and simulated robotic platforms to advance embodied cognition models.

• Computer Vision
• Robotics
• Machine Learning

Chun-Yi Lee serves as a Professor in the Department of Information Engineering at National Taiwan University, where he leads research at the intersection of robotics, artificial intelligence, and hardware systems. His research portfolio spans six core domains: Intelligent robotics systems development Enhanced learning methodologies for AI training Computer vision applications Virtual-reality training environments with digital twin integration Parallel computing architectures Electronic circuit design automation The research laboratory maintains an active online presence at elsalab.ai , though the formal laboratory name remains unspecified (listed as TBD in source materials). Professor Lee conducts office hours by individual email appointment and is accessible through his primary contact cylee@csie.ntu.edu.tw for research collaboration and graduate supervision inquiries.

• Intelligent robots
• enhanced learning
• computer vision
• +3 more

MS Lee serves as an Associate Professor in the Department of Information Engineering at National Taiwan University, with dual affiliation to the Institute of Information Network and Multimedia. Current responsibilities include leading research initiatives in image and signal processing technologies. Research interests focus on: Multimedia image processing algorithms Digital image integration techniques Advanced image compression methodologies Signal processing applications Dr. Lee directs the Imaging and Vision Laboratory, which develops innovative solutions in computer vision and multimedia systems. The lab maintains active development of image analysis frameworks with practical implementations in digital media processing. Office hours are held Thursdays 11:00-12:00 in room R520 with department extension 520.

• Multimedia image processing
• Digital image integration
• Image compression
• +1 more

Associate Professor Shih-wei Liao is a faculty member in the Department of Information Engineering at National Taiwan University, leading the ABC Lab / NTU Consensus Lab. His research bridges blockchain technology, Fintech, and Big Data systems with real-world applications. His research expertise spans: Blockchain systems (consensus protocols, environmental monitoring, Gcoin implementation) Fintech applications (digital currency, RegTech, automated clearinghouse) AI/ML optimization (CNN memory traffic, medical imaging, pollution forecasting) Compiler and virtual machine design (Android legacy systems) Recent publications (2018-2021) show strong focus on environmental blockchain applications, IoT security, and medical AI - with work published in IEEE conferences, Blockchain Robotics AI conferences, and journals like IEEE Network. His research demonstrates consistent evolution from foundational Android systems to cutting-edge blockchain applications. Awards include: Google Founders' Award for Android contributions CGO'04 Best Paper Award Nominee The ABC Lab maintains active industry partnerships with major technology companies and financial institutions, evidenced by seminars with Bitfinex/Tether executives and collaborations on Taiwan's Asia Silicon Valley Project. Professor Liao pioneered NTU's Blockchain course in 2015 and leads the NTU RegTech initiative. The lab operates from office R514 with Friday office hours (15:00-17:00), focusing on 'impact, learning-by-doing, interdisciplinary' approaches as stated in their mission.

• Blockchain
• Fintech
• Big Data
• +6 more