百晓学者学者目录

姬冰

副教授、博士生导师、教授、硕士生导师、讲师,山东大学

精选作品

期刊论文

2026

基于人工智能和步态分析的骨科疾病辅助诊疗方法

季心宇,余思沂,孙圆圆,姬冰

《山东大学学报(医学版)》

2026

医工充分融合的智能医学工程专业培养体系探索与实践

姬冰,李可,李玮,吴伟明,朱文兴,徐峰,陈玉国,王聪

《中国高等医学教育》

2026

CPS4: Class Prompt driven Semi-Supervised Spine Segmentation with Class-specific Consistency Constraint

Qing-Tao Pan, Hongzan Sun, Bing Ji, Shuo Li

arXiv.org

2026

MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding

Guang Yang, Ziyuan Qin, Chao-Ran Zhang, Chen-Lin Du, Jinlin Wang, Wan-Ran Sun, Zhenyu Zhang, Bing Ji, Qi-Cheng Lao

arXiv.org

2026

ICMIL: An Interactive Contrastive Multiple Instance Learning Framework Using Foundation Model Features for Histopathology Image Classification

Jingjiao Lou, Qing-Tao Pan, Qing Yang, Guang Yang, Bing Ji, Shuo Li

IEEE transactions on circuits and systems for video technology (Print)

2026

A Mixed Dual-Branch Network for Detecting Cervical Spondylotic Myelopathy and Parkinsonian Syndromes via Gait Analysis

Xinyu Ji, Meng Si, Yuanyuan Xiang, Qing Yang, Yuanyuan Sun, Siyi Yu, Yuyan Zhang, Teng Su, Bing Ji

IEEE Transactions on Neural Systems and Rehabilitation Engineering

2026

Skill transfer strategy based on deep metric learning for robot assembly

Xiaoqing Yao, Ligang Jin, Xiaoran Zhang, Fengming Li, Bing Ji, Yibin Li, Rui Song

Journal of Intelligent Manufacturing

2025

步态智能分析与疾病辅助诊断

姬冰

《山东大学出版社》

2025

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation

Qingtao Pan, Wenhao Qiao, Jingjiao Lou, Bing Ji, Shuo Li

Proceedings of the AAAI Conference on Artificial Intelligence

2025

PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification

Jingjiao Lou, Qing-Tao Pan, Qing Yang, Bing Ji

International Conference on Medical Image Computing and Computer-Assisted Intervention

2025

EviVLM: When Evidential Learning Meets Vision Language Model for Medical Image Segmentation

Qing-Tao Pan, Zheng-Rong Li, Guang Yang, Qing Yang, Bing Ji

IEEE Transactions on Medical Imaging

2025

AMVLM: Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation

Qing-Tao Pan, Zheng-Rong Li, Wenhao Qiao, Jingjiao Lou, Qing Yang, Guang Yang, Bing Ji

IEEE Transactions on Medical Imaging

2025

A systematic review of automated International Classification of Diseases coding models using the Medical Information Mart for Intensive Care dataset

Ying Zhang, Chen Lyu, L. Chang, Hong Yang, Bing Ji, Ling-Yun Wei

Digital Health

2025

Mathematical modeling of multiple myeloma with immune evasion mechanisms

Rui Wang, Qing Yang, Changqing Zhen, Bing Ji

International Journal of Biomathematics

2025

GLIR-GaitNet: Global-Local Interaction Rebalancing Network for gait-based disease diagnosis

Yuanyuan Sun, Qing Zhen Yang, Xinyu Ji, Xinyu Ji, Yuyan Zhang, S B Yu, Meng Si, Yuanyuan Xiang, Bing Ji

Information Fusion

2025

An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis

Qing Zhen Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

BMC Musculoskeletal Disorders

2025

The knowledge distillation-assisted multimodal model for osteoporosis screening

Teng Su, Qing Zhen Yang, Meng Si, Yuanyuan Sun, Xinyu Ji, Xinyu Ji, Yuyan Zhang, Bing Ji

Computer Methods and Programs in Biomedicine

2025

A mathematical model for evaluating drug efficacy in multiple myeloma

Qing Yang, Rui Wang, Yuhao Qiao, Changqing Zhen, Bing Ji

Innovation and Emerging Technologies

2024

An interpretable ensemble trees method with joint analysis of static and dynamic features for myocardial infarction detection

Chunmiao Liang, Qinghua Sun, Jiali Li, Bing Ji, Weiming Wu, Fukai Zhang, Yuguo Chen, Cong Wang

Physiological Measurement

2024

Long-short-view aware multi-agent reinforcement learning for signal snippet distillation in delirium movement detection

Qingtao Pan, Hao Wang, Jingjiao Lou, Yuyan Zhang, Bing Ji, Shuo Li

Information Sciences

2024

Time series clustering of dynamical systems via deterministic learning

Chen Sun, Weiming Wu, Zirui Zhang, Zhirui Li, Bing Ji, Cong Wang

International Journal of Machine Learning and Cybernetics

2023

A Hierarchical Opportunistic Screening Model for Osteoporosis Using Deep Learning

Teng Su, Yuyan Zhang, Qing Zhen Yang, Bing Ji

China Automation Congress (CAC)

2023

Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters

Fan Zhang, Hao Wang, Li-Yu Daisy Liu, Teng Su, Bing Ji

BMC Infectious Diseases

2023

Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy

Bing Ji, Qihang Dai, Xinyu Ji, Meng Si, Hecheng Ma, Menglin Cong, Lei Cheng, Liying Guan, Bo Su, Yuyan Zhang, Wei Zeng

Applied Intelligence

2023

Machine learning-based detection of cervical spondylotic myelopathy using multiple gait parameters

Xinyu Ji, Wei Zeng, Qihang Dai, Yuyan Zhang, Shaoyi Du, Bing Ji

Biomimetic Intelligence and Robotics

2023

Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning

Bing Ji, Qihang Dai, Xinyu Ji, Weiming Wu, Qinghua Sun, Hecheng Ma, Menglin Cong, Lei Cheng, Cong Wang, Meng Si, Wei Zeng

Artificial Intelligence Review

2023

Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers

Yang Chen, Bo Su, Wei Zeng, Chengzhi Yuan, Bing Ji

Multimedia Tools and Applications

2022

A dynamic learning-based ECG feature extraction method for myocardial infarction detection

Qinghua Sun, Zhanfei Xu, Chunmiao Liang, Fukai Zhang, Jiali Li, Rugang Liu, Tianrui Chen, Bing Ji, Yuguo Chen, Cong Wang

Physiological Measurement

2022

Prediction of anemia using facial images and deep learning technology in the emergency department

Aixian Zhang, Jingjiao Lou, Zijie Pan, Jia‐Qi Luo, Xiaomeng Zhang, Han Zhang, Jianpeng Li, Lili Wang, Xiang Cui, Bing Ji, Li Chen

Frontiers in Public Health

2022

Early detection of myocardial ischemia in 12‐lead ECG using deterministic learning and ensemble learning

Qinghua Sun, Chunmiao Liang, Tianrui Chen, Bing Ji, Rugang Liu, Lei Wang, Min Tang, Yuguo Chen, Cong Wang

Computer Methods and Programs in Biomedicine

2022

PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images

Jingjiao Lou, Jiawen Xu, Yuyan Zhang, Yuhong Sun, Aiju Fang, Jixuan Liu, Luis A. J. Mur, Bing Ji

Computer Methods and Programs in Biomedicine

2022

Knowledge distillation guided by multiple homogeneous teachers

Quanzheng Xu, Liyu Liu, Bing Ji

Information Sciences

2022

A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images

Li-Yu Daisy Liu, Meng Si, Hecheng Ma, Menglin Cong, Quanzheng Xu, Qinghua Sun, Weiming Wu, Cong Wang, Michael J. Fagan, Luis A. J. Mur, Qing Ping Yang, Bing Ji

BMC Bioinformatics

2021

Observer Design for Sampled-Data Systems via Deterministic Learning

Jingtao Hu, Weiming Wu, Bing Ji, Cong Wang

IEEE Transactions on Neural Networks and Learning Systems

2020

A New Modeling Method Base on Candidate Window for Clinical Concept Extraction

Yong-Tao Tang, Jie Yu, Shasha Li, Bing Ji, Yu-Song Tan, Q. Wu

2020

Span Classification Based Model for Clinical Concept Extraction

Yong-Tao Tang, Jie Yu, Shasha Li, Bing Ji, Yu-Song Tan, Qing-Bo Wu

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

2020

An Advanced ICD-9 Terminology Standardization Method Based on BERT and Text Similarity

Yijia Liu, Bing Ji, Jie Yu, Yu-Song Tan, Jun Ma, Qing-Bo Wu

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

2020

Mathematical modeling of canonical and non-canonical NF-κB pathways in TNF stimulation

Bing Ji, Yao Zhang, Changqing Zhen, Michael J. Fagan, Qing Zhen Yang

Computer Methods and Programs in Biomedicine

2020

Mathematical modelling of the role of GADD45β in the pathogenesis of multiple myeloma

Yao Zhang, Changqing Zhen, Qing Zhen Yang, Bing Ji

Royal Society Open Science

2020

Mathematical modelling of the role of Endo180 network in the development of metastatic bone disease in prostate cancer

Bing Ji, Jie Chen, Changqing Zhen, Qing Zhen Yang, Nengwang Yu

Computers in Biology and Medicine

2020

The Cardiodynamicsgram Based Early Detection of Myocardial Ischemia Using the Lempel-Ziv Complexity

Qinghua Sun, Qian Wang, Bing Ji, Weiming Wu, Weiyi Huang, Cong Wang

IEEE Access

2019

Mathematical modelling of bone remodelling cycles including the NFκB signalling pathway

Bing Ji, Yao Zhang, Changqing Zhen, Michael J. Fagan, Qing Zhen Yang

Computers in Biology and Medicine

2018

A BiLSTM-CRF Method to Chinese Electronic Medical Record Named Entity Recognition

Bing Ji, Rui Liu, Shasha Li, Jintao Tang, Jie Yu, Qian Li, WeiSang Xu

International Conference on Advances in Computing and Artificial Intelligence

2015

A virtual approach to evaluate therapies for management of multiple myeloma induced bone disease

Bing Ji, Paul G. Genever, Michael J. Fagan

International Journal for Numerical Methods in Biomedical Engineering

2014

Investigating the efficacy of bisphosphonates treatment against multiple myeloma induced bone disease using a computational model

Bing Ji, Qing Zhen Yang, Paul G. Genever, Michael J. Fagan

Bio-Medical Materials and Engineering

2014

A predator–prey based mathematical model of the bone remodelling cycle: Exploring the relationship between the model parameters and biochemical factors

Bing Ji, Qing Zhen Yang, Paul G. Genever, Ronald Jon Patton, Michael J. Fagan

Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine

2014

Mathematical modelling of the pathogenesis of multiple myeloma‐induced bone disease

Bing Ji, Paul G. Genever, Ronald Jon Patton, Michael J. Fagan

International Journal for Numerical Methods in Biomedical Engineering

2014

Depth-Based Human Fall Detection via Shape Features and Improved Extreme Learning Machine

Xin Ma, Haibo Wang, Bingxia Xue, Mingang Zhou, Bing Ji, Yibin Li

IEEE Journal of Biomedical and Health Informatics

预印本

2023

Denoising Magnetic Resonance Spectroscopy (MRS) Data Using Stacked Autoencoder for Improving Signal-to-Noise Ratio and Speed of MRS

Jing Wang, Bing Ji, Yang Lei, Tian Liu, Hui Mao, Xiaofeng Yang

arXiv preprint

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