About Me
I worked as a Machine Learning Engineer at Huawei Vancouver Research Center. I earned my Master's degree from Concordia University in Montreal, under the guidance of Dr. Suen.
My research interests and experience encompass a range of topics within machine learning and deep learning, including autonomous driving, model compression, and foundation models. I specialize in model acceleration, utilizing essential techniques such as pruning, quantization, and knowledge distillation. Please refer to my CV for more details.
I am open to new opportunities and collaborations. Feel free to reach out regarding any available positions or projects.
Contact
Projects
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MedGemma on-Device Deployment (4B VLM): Quantization & Edge Performance Benchmark
Personal Project,
2026
Built an end-to-end pipeline to run MedGemma-4B for chest X-ray image-to-text inference,
evaluated AWQ, BnB and knowledge distillation and measured latency/memory under constraints.
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Publications
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Computer-aided Wartegg drawing completion test
International Conference on Pattern Recognition and Artificial Intelligence,
2020
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Hand-drawn object detection for scoring Wartegg Zeichen test
International Conference on Pattern Recognition and Artificial Intelligence,
2020
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A Novel Seizure Prediction Method Based on Generative Features
International Conference on Intelligent Science and Big Data Engineering (IScIDE),
2018
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Triple-L: Live, Love, Laugh. Have a nice day! ✿