معرفی
Hui Jiang is a Professor in the Department of Electrical Engineering and Computer Science at the Lassonde School of Engineering, York University in Toronto, Canada. He holds the professional engineering designation (P.Eng) and maintains an active research program in machine learning and artificial intelligence with an office located in Room 3014 of the Lassonde Building at 4700 Keele Street.
Dr. Jiang's research focuses on machine learning and artificial intelligence, with particular emphasis on deep learning theory and methods, as well as their applications in speech and language processing and computer vision. His work spans from fundamental machine learning concepts to cutting-edge AI technologies including transformers, diffusion models, and neural network architectures. He has developed methods such as the Fixed-size Ordinally Forgetting Encoding (FOFE) for named entity recognition and contributed significantly to convolutional neural networks for speech recognition.
His publication timeline shows consistent contribution to the field, beginning with foundational work in speech recognition and progressing to comprehensive frameworks in machine learning. His recent work focuses on explaining complex AI concepts through his blog and textbook, demonstrating a commitment to both research advancement and education in the AI community.
- IEEE SPS Best Paper Award (2016) for "Convolutional Neural Networks for Speech Recognition"
Dr. Jiang has authored the textbook "Machine Learning Fundamentals" published by Cambridge University Press in 2021, which provides a comprehensive introduction to both traditional machine learning methods and modern deep learning techniques. He maintains an active technology blog where he shares detailed technical insights on machine learning concepts, with recent posts covering diffusion models, transformers, and GPT architecture. His complete publication list is available on his Google Scholar profile, and he can be reached via email at huijiang@yorku.ca for academic and research inquiries.
