Keyue Jiang
Scholar

Keyue Jiang

Google Scholar ID: cZJ-ZAkAAAAJ
University College London
Diffusion/Flow MdoelsGeometric Generative ModelsStatistical Machine Learning
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Citations & Impact
All-time
Citations
18
 
H-index
2
 
i10-index
1
 
Publications
6
 
Co-authors
11
list available
Contact
No contact links provided.
Publications
10 items
Impact of Connectivity on Laplacian Representations in Reinforcement Learning
2026
Cited
0
Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement
arXiv.org · 2026
Cited
0
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening
2025
Cited
0
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
2025
Cited
0
On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems
2025
Cited
0
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling
2025
Cited
0
Bures-Wasserstein Flow Matching for Graph Generation
2025
Cited
0
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
2025
Cited
0
Resume (English only)
Co-authors
11 total
Xiaowen Dong
Xiaowen Dong
University of Oxford
Bohan Tang
Bohan Tang
DPhil Student, University of Oxofrd
Siheng Chen
Siheng Chen
Shanghai Jiao Tong University
Laura Toni
Laura Toni
Associate Professor, UCL
Zexi Liu
Zexi Liu
Shanghai Jiao Tong University
Brooks Paige
Brooks Paige
Associate Professor, University College London
Co-author 7
Co-author 7
Daniel C. Alexander
Daniel C. Alexander
Professor of Imaging Science, Centre for Medical Image Computing, Department of Computer Science