papers

Publications (31)

cs.LG2026

Auditable Context-Aware HFMD Forecasting with Structured LLM Agents

Joongwon Chae, Runming Wang, Chen Xiong +5

The paper introduces a neuro‑symbolic system that uses two LLM‑driven agents to interpret contextual factors (e.g., school calendars, weather, policy reports) and combine them with…

#disease forecasting#neuro-symbolic AI#large language models#context-aware modeling
q-bio.QM2026

In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task

P. Bilha Githinji, Ijaz Gul, Lian Zhang +3

Confounding pathology with normal anatomical variation remains a significant challenge in unsupervised medical-image anomaly detection, resulting in numerous false positives. To en…

math.NA2025

An inverse-free fixed-time stable dynamical system and its forward-Euler discretization for solving generalized absolute value equations

Xuehua Li, Linjie Chen, Dongmei Yu +2

An inverse-free dynamical system is proposed to solve the generalized absolute value equation (GAVE) with a fixed time convergence, where the time of convergence is finite and is u…

cs.CV2026

StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection

Joongwon Chae, Lihui Luo, Yang Liu +8

Max pooling is the de facto standard for converting anomaly score maps into image-level decisions in memory-bank-based unsupervised anomaly detection (UAD). However, because it rel…

cs.CV2026

Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt

Joongwon Chae, Lihui Luo, Xi Yuan +4

Accurate tongue segmentation is crucial for reliable TCM analysis. Supervised models require large annotated datasets, while SAM-family models remain prompt-driven. We present Memo…

cs.LG2023

GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders

Zhicheng Du, Chenyao Jiang, Xi Yuan +10

The timely identification of mental disorders in adolescents is a global public health challenge.Single factor is difficult to detect the abnormality due to its complex and subtle…

eess.IV2023

Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molars

Chenyao Jiang, Shiyao Zhai, Hengrui Song +10

Dental caries is one of the most common oral diseases that, if left untreated, can lead to a variety of oral problems. It mainly occurs inside the pits and fissures on the occlusal…

cs.CV2026

ProCon: Projection-Consistency Memory for Training-Free Anomaly Detection

Joongwon Chae, Lihui Luo, Yang Liu +4

Memory-based anomaly detection is attractive because it localizes defects from normal images without training a decoder or synthesizing pseudo anomalies. However, most memory metho…

math.DS2022

A fixed-time inverse-free dynamical system for solving the system of absolute value equations

Xuehua Li, Dongmei Yu, Yinong Yang +2

In this paper, an inverse-free dynamical system with fixed-time convergence is presented to solve the system of absolute value equations (AVEs). Under a mild condition, it is prove…

math.OC2022

On finite termination of the generalized Newton method for solving absolute value equations

Jia Tang, Wenli Zheng, Cairong Chen +2

Motivated by the framework constructed by Brugnano and Casulli SIAM J. Sci. Comput. 30: 463--472, 2008, we analyze the finite termination property of the generalized Netwon m…

cs.CL2026

Mapping the maturation of TCM as an adjuvant to radiotherapy

P. Bilha Githinji, Aikaterini Melliou, Xi Yuan +8

The integration of complementary medicine into oncology represents a paradigm shift that has seen to increasing adoption of Traditional Chinese Medicine (TCM) as an adjuvant to rad…

stat.AP2023

A Longitudinal Analysis about the Effect of Air Pollution on Astigmatism for Children and Young Adults

Lin An, Qiuyue Hu, Jieying Guan +8

Purpose: This study aimed to investigate the correlation between air pollution and astigmatism, considering the detrimental effects of air pollution on respiratory, cardiovascular,…

cs.CV2024

Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents

Joongwon Chae, Zhenyu Wang, Lian Zhang +2

Recent advances in multimodal models have demonstrated impressive capabilities in object recognition and scene understanding. However, these models often struggle with precise spat…

cond-mat.soft2023

Biocompatible wearable touch panel based on ionically conductive organic hydrogels with anti-freezing, anti-dehydration, self-healing, and underwater adhesion properties

Zhenglin Chen, Jiaqi Yang, Likun Zhang +16

Next-generation touch panels are poised to benefit from the use of stretchable and transparent soft ionic conductors, but these materials face several challenges in practical appli…

math.DS2022

A dynamical system based on projection operator for solving absolute value equations associated with second-order cone

Cairong Chen, Dongmei Yu, Deren Han +1

A new equivalent reformulation of the absolute value equations associated with second-order cone (SOCAVEs) is emphasised, from which a dynamical system based on projection operator…

math.DS2023

The neural network models with delays for solving absolute value equations

Dongmei Yu, Gehao Zhang, Cairong Chen +1

An inverse-free neural network model with mixed delays is proposed for solving the absolute value equation (AVE) , which includes an inverse-free neural network mod…

q-bio.QM2024

COVID-19: post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations

Muhammad Akmal Raheem, Muhammad Ajwad Rahim, Ijaz Gul +9

SARS-CoV-2, the highly contagious pathogen responsible for the COVID-19 pandemic, has persistent effects that begin four weeks after initial infection and last for an undetermined…

eess.IV2022

RCMNet: A deep learning model assists CAR-T therapy for leukemia

Ruitao Zhang, Xueying Han, Ijaz Gul +8

Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods include bone marrow transplantation, supportive therapy, and chemotherapy. Although…

math.NA2025

A fixed-time stable dynamical model for solving EVLCPs

Yufei Wei, Shiping Lin, Cairong Chen +2

A fixed-time stable dynamical system for solving the extended vertical linear complementarity problem (EVLCP) is developed. The system is based on the reformulation of EVLCP as a s…

math.NA2021

Optimal parameter for the SOR-like iteration method for solving the system of absolute value equations

Cairong Chen, Dongmei Yu, Deren Han

The SOR-like iteration method for solving the absolute value equations~(AVE) of finding a vector such that with is investigated. The c…

math.OC2021

An inexact Douglas-Rachford splitting method for solving absolute value equations

Cairong Chen, Dongmei Yu, Deren Han

The last two decades witnessed the increasing of the interests on the absolute value equations (AVE) of finding such that , where $A\in \mathbb{R}^{n…

cs.AI2026

MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support

Lihui Luo, Joongwon Chae, Ziyan Chen +13

Traditional Chinese Medicine (TCM) diagnosis, particularly through tongue inspection, faces persistent challenges in subjectivity and reproducibility. The application of multimodal…

cs.HC2023

Chinese herb medicine in augmented reality

Qianyun Zhu, Yifeng Xie, Fangyang Ye +4

Augmented reality becomes popular in education gradually, which provides a contextual and adaptive learning experience. Here, we develop a Chinese herb medicine AR platform based t…

cs.CV2022

Neuro-Symbolic Learning: Principles and Applications in Ophthalmology

Muhammad Hassan, Haifei Guan, Aikaterini Melliou +24

Neural networks have been rapidly expanding in recent years, with novel strategies and applications. However, challenges such as interpretability, explainability, robustness, safet…

physics.optics2023

Light sheet and light field microscopy based on scanning Bessel beam illumination

Chuhui Wang, Jiaju Chen, Cuiyi Peng +3

We developed a Bessel light sheet fluorescence microscopy (LSFM) system to enable high-speed, wide-field intra-vital imaging of zebrafish and other thick biological samples. This s…

math.OC2021

A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations

Cairong Chen, Dongmei Yu, Deren Han +1

The system of generalized absolute value equations (GAVE) has attracted more and more attention in the optimization community. In this paper, by introducing a smoothing function, w…

eess.IV2022

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Yang Liu, Ersi Zhang, Lulu Xu +13

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…

cs.CV2023

Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis

Shunkai Shi, Yuqi Wang, Qihui Ye +5

In Traditional Chinese Medicine, the tooth marks on the tongue, stemming from prolonged dental pressure, serve as a crucial indicator for assessing qi (yang) deficiency, which is i…

math.NA2022

An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation

Dongmei Yu, Cairong Chen, Deren Han

An inexact framework of the Newton-based matrix splitting (INMS) iterative method is developed to solve the generalized absolute value equation, whose exact version was proposed by…

cs.CV2026

GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection

Joongwon Chae, Lihui Luo, Yang Liu +8

Feature-based anomaly detection is widely adopted in industrial inspection due to the strong representational power of large pre-trained vision encoders. While most existing method…

eess.IV2024

Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy

Boyuan Peng, Jiaju Chen, P. Bilha Githinji +9

Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have…