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5 years of experience

Skills

Deep Learning theory and methods PyTorch TensorFlow Numerical optimization CUDA Distributed Training Python MATLAB Applied Statistics Computer Vision Image Processing Machine Learning Statistical Modeling Research Supervision Peer Review

Experience

Research Fellow

College of Computing and Data Science, Nanyang Technological University

2025-11 - 2026-09

Independently conducted research on scent digitalization and computation, developing machine‑learning methods for olfactory‑signal classification. Designed and implemented novel deep‑learning pipelines, performed extensive experiments, and prepared results for submission to NeurIPS 2026. Collaborated with interdisciplinary teams and contributed to scientific publications.

Research Officer

Department of Artificial Intelligence, Lingnan University

2025-09 - 2025-11

Developed a deep‑learning framework for automated pediatric dental lesion detection, leading to a first‑author publication in IEEE SMC Magazine and a pending patent. Implemented data preprocessing, model training on GPU clusters, and evaluation pipelines. Coordinated with clinicians to validate results and refine the system.

Teaching Assistant

Department of Computer Science, City University of Hong Kong

2021-01 - 2025-12

Supported undergraduate courses in Internet Web Design, C++ Programming, and postgraduate Applied Statistics. Led weekly labs for 60‑45 students, prepared teaching materials, graded assignments and exams, and provided office hours. Assisted in curriculum development and student mentorship.

Invited Reviewer

IEEE TPAMI & TIP

2024-01 -

Reviewed manuscripts on deep learning, perceptual modeling, image quality assessment, and computer‑vision methodology for top IEEE journals. Provided detailed feedback, evaluated methodological soundness, and ensured alignment with journal standards.

Languages

Chinese

intermediate

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Last updated: 2 місяці тому