collaborators

11 papers

cs.IR2026

BRIDGE: Behavior-Guided Residual Integration with Dual-Frequency Graph Evidence

Zesheng Li, Chengchang Pan, Honggang Qi

Multimodal recommendation improves item representations by combining visual, textual, and collaborative signals, but stronger cross-view alignment does not always improve ranking.…

cs.CV2026

GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations

Zesheng Li, Chengchang Pan, Honggang Qi

Frozen vision-language embeddings contain signals at multiple semantic resolutions, from object identity to attributes, relations, and full-caption meaning, but they expose these s…

eess.IV2026

A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis

Wei Yang, Yiran Zhu, Yan su +3

Colorectal cancer liver metastasis (CRLM) exhibits high postoperative recurrence and pronounced prognostic heterogeneity, challenging individualized management. Existing prognostic…

cs.MM2025

HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction

Jie Qin, Wei Yang, Yan Su +5

In breast cancer HER2 assessment, clinical evaluation relies on combined H&E and IHC images, yet acquiring both modalities is often hindered by clinical constraints and cost. We pr…

eess.IV2025

PupiNet: Seamless OCT-OCTA Interconversion Through Wavelet-Driven and Multi-Scale Attention Mechanisms

Renzhi Tian, Jinjie Wang, Wei Yang +5

Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) are key diagnostic tools for clinical evaluation and management of retinal diseases. Compared…

eess.IV2025

4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features

Zesheng Li, Wei Yang, Yan Su +5

Postoperative prognostic prediction for colorectal cancer liver metastasis (CRLM) remains challenging due to tumor heterogeneity, dynamic evolution of the hepatic microenvironment,…