VLM, LLM, and speech
Foundation models for real-time understanding of multilingual and multimodal live content.
Algorithm engineer and computer vision researcher with experience spanning multimodal foundation models, real-time live-content understanding, biometric security, and applied vision systems.
VLM, LLM, and speech models for real-time understanding of large-scale live content.
Computer vision and AI algorithm and architecture R&D for live video, including real-time edge AI and large-scale content understanding.
Computer vision algorithms and R&D platforms for industry and scientific research in Hong Kong.
Research in computer vision, biometric system security, and privacy.
Visiting research appointment in pattern recognition and image processing.
A high-level summary of the algorithm areas I have worked on, without exposing sensitive implementation details.
Foundation models for real-time understanding of multilingual and multimodal live content.
Temporal and cross-modal reasoning over long, continuously evolving content streams.
Quantization, distillation, and hardware-software co-design for efficient large-scale inference.
Region-level visual understanding, face-template security, privacy, and applied vision systems.
Ph.D. in Computer Science, 2018
B.Eng. in Computer Science and Technology, 2013
Visiting Ph.D. Student, Feb–Aug 2016
VLM, LLM, MLLM, speech, computer vision, biometrics, and real-time live-content understanding.
Courses include Web Intelligence and Information & Knowledge Management at Hong Kong Baptist University.
Excellent Teaching Assistant Performance Award, 2017.
Third Runner-up Award, ACM Hong Kong Collegiate Programming Contest, 2014.
Google Scholar, OpenReview, ORCID, and LinkedIn provide the most current public record.