向 思科
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I’m Thico(Sike) Xiang, a PhD student in Computer Science at Durham University, advised by Dr. Amir Atapour-Abarghouei, in the Adaptive Intelligence Lab. My research focuses on computer vision, especially Vision-Language Models (VLMs), Multimodal Representation Learning, and Medical Imaging Analysis.
Previously, I worked on multimodal learning and medical AI at the University of Electronic Science and Technology of China and the Internet Center of a hospital. I enjoy developing vision-language models and exploring their potential across diverse tasks. I believe impactful AI research should not only solve practical problems but also advance fundamental methods and theories.
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion
Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei
EMNLP 2025.[paper]
BcQLM is a lightweight yet high-performing multimodal large language model that integrates BreezeCLIP with a Q-Gated fusion mechanism to achieve efficient and scalable vision-language understanding under resource constraints.
Durham University, 09/2025–Present
Demonstrator Combined Academic Role
Durham University, 09/2024–Present
PhD Student, with Dr. Amir Atapour-Abarghouei
University of Electronic Science and Technology of China, 10/2023–07/2024
Research Assistant, with Dr. Wang wenyi
University of Glasgow, 09/2022–09/2023
Master of Science
Mianyang Third People's Hospital, 07/2022–08/2022
Internet Center Intern
Beijing Institute of Technology, Zhuhai, 09/2018–06/2022
Bachelor of Engineering
Acknowledgments The template of this personal website is shamelessly brought from here.
