activity
20232026
most citedAllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

2 citations · 6 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CV2026

PathoArgus: Advancing Evidence-Grounded Long-Context Visual Reasoning across Gigapixel Whole-Slide and Multi-Slide Case Contexts

Bowen Liu, Qixiang Zhang, Xiaomeng Li

Whole-slide pathology reasoning requires models to integrate gigapixel-scale visual evidence across complete case-linked slides, yet current question-answering benchmarks primarily…

cs.AI2026

CACSurv: Concordance-Aligned Comparative Learning with Large Language Models for Cancer Survival Prediction

Tianqi Xiang, Qixiang Zhang, Xinpeng Ding +2

Cancer survival prediction supports treatment planning, risk stratification, and follow-up management. Existing methods use structured clinical variables, whole-slide images, genom…

eess.IV2026

KHiM-Mamba: Injecting Pathology Knowledge into Mamba via Hidden-State Modulation for Whole Slide Image Analysis

Qixiang Zhang, Yi Li, Tianqi Xiang +4

Whole slide image analysis is commonly formulated as multiple instance learning (MIL), where instance features are contextually updated and aggregated into a slide representation,…

cs.CV2025

A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding

Jingyu Lu, Haonan Wang, Qixiang Zhang +1

Subject-agnostic brain decoding, which aims to reconstruct continuous visual experiences from fMRI without subject-specific training, holds great potential for clinical application…

cs.CV2025

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

Tianqi Xiang, Yi Li, Qixiang Zhang +1

Recent advances in histopathology vision-language foundation models (VLFMs) have shown promise in addressing data scarcity for whole slide image (WSI) classification via zero-shot…

cs.CV2025

UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation

Yi Li, Haonan Wang, Qixiang Zhang +4

The emergence of unified multimodal understanding and generation models is rapidly attracting attention because of their ability to enhance instruction-following capabilities while…