PhD in Computer Science

I received my PhD degree from Queen Mary University of London, under the supervision of Prof. Shaogang (Sean) Gong. I got the prestigious Queen Mary Principal’s Research Studentship Award. My area of expertise is Deep Learning and Computer Vision.


E-mail: guile [DOT] wu [AT] outlook [DOT] com

My area of expertise is Deep Learning and Computer Vision, particularly in Transfer Learning, Unsupervised Learning, Domain Adaptation, Few-Shot Learning, Lifelong Learning, Knowledge Distillation, Image Retrieval, 3D Classification/Detection, etc.

• Queen Mary Principal’s Research Studentship Award (QMUL, UK). 2018-2021.

(D) Deep Learning by Knowledge Transfer:

  [D.4] G. Wu, S. Gong, "Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation", ICCV, 2021.

  [D.3] G. Wu, S. Gong, P. Li, "Striking a Balance between Stability and Plasticity for Class-Incremental Learning", ICCV, 2021.

  [D.2] G. Wu, S. Gong, "Peer Collaborative Learning for Online Knowledge Distillation", AAAI, 2021.

  [D.1] G. Wu, S. Gong, "Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification", AAAI, 2021.

(C) Self-Supervised/Unsupervised/Semi-Supervised Learning:

  [C.2] P. Li, G. Wu, S. Gong, X. Lan, "Semi-Supervised Few-Shot Learning with Pseudo Label Refinement", ICME, 2021.

  [C.1] G. Wu, X. Zhu, S. Gong, "Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification", AAAI, 2020.

(B) Object Re-Identification:

  [B.5] G. Wu, X. Zhu, S. Gong, "Learning Hybrid Ranking Representation for Person Re-Identification", Pattern Recognition, 2022.

  [B.4] S. Sun, G. Wu, S. Gong, "Decentralised Person Re-Identification with Selective Knowledge Aggregation", BMVC, 2021.

  [B.3] G. Wu, S. Gong, "Generalising without Forgetting for Lifelong Person Re-Identification", AAAI, 2021.