10 citations · 11 across the 6 of their papers we have counts for
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cs.CV2026
Pathway-Structured Privileged Distillation for Deployable Computational Pathology
Yongxin Guo, Hao Lu, Onur Koyun +2
Integrating transcriptomics and histopathology can improve cancer risk modelling, yet practical use is constrained by the limited availability of RNA profiling in routine settings.…
cs.CV2026
Momentum Memory for Knowledge Distillation in Computational Pathology
Yongxin Guo, Hao Lu, Onur C. Koyun +3
Multimodal learning that integrates genomics and histopathology has shown strong potential in cancer diagnosis, yet its clinical translation is hindered by the limited availability…
cs.CV2026
Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization
Hao Lu, Onur C. Koyun, Yongxin Guo +3
Vector Quantization (VQ) underpins many modern generative frameworks such as VQ-VAE, VQ-GAN, and latent diffusion models. Yet, it suffers from the persistent problem of codebook co…