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Yuanxiang Wang

2 accepted papers

2026

Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss

AAAI 2026technical

The prevalence of real-world multi-view data makes incomplete multi-view clustering (IMVC) a crucial research. The rapid development of Graph Neural Networks (GNNs) has established them as one of the mainstream approaches for multi-view clustering. Despite significant progress in GNNs-based IMVC, so

Cited by 0SourcePDFScholar
2026

Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models

CVPR 2026

While Instruction-based Image Editing (IIE) has achieved significant progress, existing benchmarks pursue task breadth via mixed evaluations. This paradigm obscures a critical failure mode crucial in professional applications: the inconsistent performance of models across tasks of varying semantic s

Cited by 0SourcecodeScholar