collaborators

7 papers

cs.CL2026

Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Study

Shahana Akter, Yatharth Vohra, Ankita Shukla +1

Multi-label topic classification without labeled training data is a challenging task, specially when documents contain complex relational information. We present a zero-shot multi-…

cs.AI2026

ConceptMoE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology

Xuan Wang, Zhongling Xu, Gopi Kannedhara +13

Healthcare models are transitioning from unimodal prediction toward multimodal reasoning over heterogeneous diagnostic inputs. In computational pathology, for complex tumor subtype…

cs.CV2026

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images

Joakim Nguyen, Jian Yu, Jinrui Fang +7

Accurate diagnosis of pediatric brain tumors, starting with histopathology, presents unique challenges for deep learning, including severe data scarcity, class imbalance, and fine-…

cs.LG2026

STDA-Net: Spectrogram-Based Domain Adaptation for cross-dataset Sleep Stage Classification

Unaza Tallal, Shruti Kshirsagar, Ankita Shukla

Accurate sleep stage classification across datasets remains challenging due to variability in EEG channel montages, sampling rates, recording environments, and subject populations.…

cs.CV2026

PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification

Jian Yu, Joakim Nguyen, Jinrui Fang +10

Accurate classification of pediatric central nervous system tumors remains challenging due to histological complexity and limited training data. While pathology foundation models h…

eess.SP2025

Ground Reaction Force Estimation via Time-aware Knowledge Distillation

Eun Som Jeon, Sinjini Mitra, Jisoo Lee +4

Human gait analysis with wearable sensors has been widely used in various applications, such as daily life healthcare, rehabilitation, physical therapy, and clinical diagnostics an…