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Hongxiang Lin

3 accepted papers

2025

SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction

NeurIPS 2025poster

Link sign prediction in signed bipartite graphs, which are extensively utilized across diverse domains such as social networks and recommendation systems, has recently emerged as a pivotal challenge. However, significant space and time complexities associated with the scalability of bipartite graphs…

Cited by 0SourceScholar
2024

Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction

ICASSP 2024accepted

Large Vision Model (LVM) has recently demonstrated great potential for medical imaging tasks, potentially enabling image enhancement for sparse-view Cone-Beam Computed Tomography (CBCT), despite requiring a substantial amount of data for training. Meanwhile, Deep Image Prior (DIP) effectively guides…

Cited by 0SourceScholar
2023

Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network

NeurIPS 2023poster

Deriving from image matching and understanding, semantic keypoint matching aims at establishing correspondence between keypoint sets in images. As graphs are powerful tools to represent points and their complex relationships, graph matching provides an effective way to find desired semantic keypoint…

Cited by 2SourcePDFScholar