collaborators

15 papers

cs.AI2026

Coupled Graph--Policy Distillation for Personalized Medication Safety in Older Adults with Multimorbidity

Zihan Wang, Anglin Liu, Rongyi Wang +6

Large language model (LLM) agents can support medication review between clinical visits, but safe choices for older adults with multimorbidity depend on conditions, medications, an…

cs.LG2026

MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network

Yinlong Xu, Zitai Kong, Yixuan Wu +5

Cardiac arrhythmia, a condition characterized by irregular heartbeats, often serves as an early indication of various heart ailments. With the advent of deep learning, numerous inn…

cs.CV2026

Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning

Jiahe Chen, Qian Shao, Qiyuan Chen +4

Open-set semi-supervised learning aims to leverage unlabeled data that may contain out-of-distribution outliers while maintaining performance on in-distribution classes. Existing m…

cs.CV2026

Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training

Anglin Liu, Ruichao Chen, Yi Lu +2

Despite recent Multimodal Large Language Models (MLLMs)' linguistic prowess in medical diagnosis, we find even state-of-the-art MLLMs suffer from a critical perceptual deficit: geo…

q-bio.BM2026

MP2D: Constrained Monte Carlo Tree-Guided Diffusion for Multi-Objective Protein Sequence Design

Zitai Kong, Yifan Dong, Yixuan Wu +3

Designing functional protein sequences that satisfy multiple desired properties is a core research focus of protein engineering. Prior methods struggle with inability or inefficien…

cs.CL2026

Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling

Qiyuan Chen, Hongsen Huang, Jiahe Chen +6

Vision-language reward modeling faces a dilemma: generative approaches are interpretable but slow, while discriminative ones are efficient but act as opaque "black boxes." To bridg…