Ci-Siang Lin
Senior AI Engineer, Multimedia R&D @ Qualcomm
About
Senior AI Engineer @Qualcomm | AI Ph.D. @NTU EECS | ex-Nvidian Artificial Intelligence, Computer Vision, Machine/Deep Learning, Multimodal LLM, Vision-Language Model, Large Language Model, Generative AI, Diffusion Model, Image/Video Segmentation, Transformer
Taiwan
Taipei
Computer Software
PyTorch, Linux, TensorFlow
Experience
Senior AI Engineer, Multimedia R&D
Qualcomm
Computer Vision for AI Cameras on Edge Devices Report directly to the Technical Lead in San Diego, United States Collaborate cross-regionally with the U.S. team
AI Research Intern, NVIDIA Research
NVIDIA
Multimodal LLM for Domain-Specific Applications (submitted to AAAI 2026) Video-Language Learning for Segmentation (𝐔.𝐒. 𝐏𝐚𝐭𝐞𝐧𝐭 𝐏𝐮𝐛., published in CVPRW 2024) Image-Language Learning for Segmentation (𝐔.𝐒. 𝐏𝐚𝐭𝐞𝐧𝐭 𝐏𝐮𝐛., published in WACV 2025) Label-Efficient Learning for Imbalanced Data (published in ICCVW 2023 (𝐎𝐫𝐚𝐥 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧))
Ph.D. Student, Vision and Learning Laboratory
National Taiwan University
Customized Image Generation (published in ICCV 2025) Person Re-Identification (published in ICCV 2019) Explainable AI (published in TIP 2023) Distributed Learning Across Devices (published in AAAI 2024 & CVPR 2023)
Research Student, ASUS Intelligent Cloud Services (AICS)
ASUS
Person Re-Identification (published in ICIP 2021 & ICPR 2020) Report directly to the Director in Singapore
Education
National Taiwan University
College of Electrical Engineering and Computer Science
Research Directions: Artificial Intelligence, Computer Vision, Machine/Deep Learning Vision and Learning Laboratory (Advisor: Prof. Yu-Chiang Frank Wang) Data Science and Smart Networking Group, Graduate Institute of Communication Engineering
National Taiwan University
Department of Electrical Engineering
Rank: Top 13% (23 out of 190 students)
Ci-Siang Lin's Contact Information
Phone
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