Jiayi Lin

Email: jiayi.lin@qmul.ac.uk | [CV]



Jiayi Lin is a Postdoctoral Research Associate in Multiscale, Multimodal, Foundation Models for Medicine and Healthcare at Queen Mary University of London, working with Prof. Venet Osmani. She is expected to receive her Ph.D. in Computer Science from Queen Mary University of London in 2026, supervised by Prof. Shaogang Gong. She received her master's degree at School of Artificial Intelligence, University of Chinese Academy of Sciences in 2021, supervised by Prof. Liang Wang, and her bachelor's degree from Sun Yat-sen University in 2018.

Research Directions: Computer Vision (Object Detection and Segmentation), Neuro-Symbolic Learning, Deep Learning, Medical AI.



Publications
GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation Learning [Paper]
Jiayi Lin, Shitong Sun, Shaogang Gong
Pattern Recognition 2025
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation [Paper][Website]
Jiayi Lin, Jiabo Huang, Jian Hu, Shaogang Gong
AAAI 2025
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation [Paper][Website]
Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
NeurIPS 2024
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects [Paper][Website][Code]
Jian Hu†, Jiayi Lin†, Weitong Cai, Shaogang Gong
AAAI 2024
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution [Paper]
Jiayi Lin, Yan Huang, Liang Wang
arXiv preprint, 2021

†: Equal contribution.

Research Experience

2025-present    Multiscale, Multimodal, Foundation Models for Medicine and Healthcare
Postdoctoral Research Associate, Queen Mary University of London
Advisor: Prof. Venet Osmani

2021-present    Visual Recognition and Self-Supervised Learning
PhD student, Queen Mary University of London
Supervisor: Prof. Shaogang Gong

2021-21    Human Pose-Estimation
Intern, Watrix
Advisor: Dr. Xuecai Hu

2018-21    Image and Video Super-Resolution
Master Student, National Laboratory of Pattern Recognition,
Institute of Automation, Chinese Academy of Sciences
Supervisor: Prof. Liang Wang

2018-19    Neural Network Acceleration on FPGA
Intern, Institute of Computing Technology, Chinese Academy of Sciences
Advisor: Prof. Lei Zhang

2017-18    Control System for Autonomous Vehicles, Position and Pose Estimation
Undergraduate student, Robotic and Intelligence Computing Lab, Sun Yat-Sen University
Supervisor: Prof. Long Chen

Teaching
Queen Mary University of London
  • 2024    Teaching Assistant (Leader), Deep Learning and Computer Vision (ECS795)
  • 2023    Teaching Assistant, Deep Learning and Computer Vision (ECS795)
  • 2022    Teaching Assistant, Artificial Intelligence (ECS759P)