Chaohong Ma

PLA Rocket Force University of Engineering — China

Medicine · Health Sciences

1h-index2citations16works0.12yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(4), Topic Modeling(3), Head and Neck Cancer Studies(3), AI in cancer detection(2), Brain Tumor Detection and Classification(2)

Publications16 total

APKGC: An adaptive and prompt-tuning framework for knowledge graph completion
Knowledge-Based Systems·2025
LINDAS: a learned approach to index algorithm selection
Knowledge and Information Systems·2025
Enhancing OpenAI Models for Robust Speech Recognition Using Mandarin Speech Datasets
2025
LLM-Guided Multimodal Information Fusion With Hierarchical Spatio-Temporal Graph Network for Sentiment Analysis
International Journal of Information Systems in the Service Sector·2025Open Access
Predicting Distant Metastasis in Head and Neck Squamous Cell Carcinoma: A Machine Learning Analysis of 31,060 Patients from the SEER Database
Journal of Maxillofacial and Oral Surgery·2025
Automated detection of metastatic lymph nodes in head and neck malignant tumors on high − resolution MRI images using an improved convolutional neural network
International Journal of Medical Informatics·2025· 1 citedOpen Access
Automated Detection of Metastatic Lymph Nodes in Head and Neck Malignant Tumors on High - Resolution MRI Images Using an Improved Convolutional Neural Network
SSRN Electronic Journal·2025Open Access
Building Distant Metastasis Models for HNSCC Using Machine Learning Techniques
2024Open Access
A Learned Approach to Index Algorithm Selection
2024· 1 cited
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
arXiv (Cornell University)·2024Open Access
Enhanced Product Embedding with Sememe for Product Search
Communications in computer and information science·2024
Online and Self-Calibration of Hand Eye System
SSRN Electronic Journal·2024Open Access
Benchmarking Automated Theorem Proving with Large Language Models
2024Open Access
LEAF: A Less Expert Annotation Framework with Active Learning
Lecture notes in computer science·2024
Study on planetary transmission coupling fault diagnosis based on machine learning
IET conference proceedings.·2022
A study of semi-supervised planetary gearbox condition diagnosis with small samples
IET conference proceedings.·2022

Frequent Co-authors

Aishan Maoliniyazi(5), Xiaofeng Meng(5), Jiawen Xue(4), Xiaohui Yu(2), Yue Wu(2), Jingjing Mao(2), Cheng Li(2), Xianghai Yu(2), Gang Zhao(2), Yingtao Peng(2), Xinyi Xu(2), Yaoqi Chen(2), Jingjing Mao(2), F. Zhou(2), Yifan Li(1), Zhongwei Zhou(1), Zhong‐Wei Zhou(1), Hsuan-Fu Wang(1), Sulin Chi(1), Nargish Parvin(1)