Scholar

Chengxi (Simon) Zeng

Google Scholar ID: uuQcjAcAAAAJ

University of Bristol

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Publications

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Academic Achievements

Co-organized a Richard Gregory Memorial Lecture given by Professor Geoffrey Hinton at the University of Bristol on 02/06/2025; Paper 'Multi-Teacher Knowledge Distillation for Efficient Object Segmentation' accepted by ICIP 2025; Paper 'Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation' accepted by CVPR 2025, ELVM Workshop (2nd Edition); Paper 'RBF-PINN' accepted by ICLR, AI4DE in Science workshop; 3-Minute Thesis 'How AI helps doctors diagnose swallowing difficulty' selected as a Semi-Finalist in the 3MT competition at the University of Bristol; Research proposal 'AI-aided diagnosis of Dysphagia in the Elderly Population' chosen as one of the Finalists in the TakeAIM competition by the Smith Institute; BVI-HVS: A Human Visual Perception-Grounded Video Quality Dataset, to be Preprint.

Research Experience

Worked as an Applied Scientist at Amazon in London for 6 months, developing a cutting-edge camera tracking solution for 8K cameras; Worked on the CTAR-SwiFt project, funded by NIHR; Currently a Postdoctoral Research Associate at Visual Information Lab (VIL), University of Bristol, working on a deep video quality assessment project funded by Prime Video, Amazon.

Education

PhD Research Student, University of Bristol, Supervisors: Dr Alberto Gambaruto and Prof. Tilo Burghardt; Postdoctoral Research Associate, University of Bristol, Supervisors: Dr Aaron Zhang and Prof. David Bull.

Background