Cancheng Li

PhD. candidata,

Beihang University

Hi, I am currently a PhD candidate in the Beihang University, supervised by Prof. Jicong Zhang. I received the masters Degree (2017-2020) from the ubiquitous awareness and intelligence solutions lab (UAIS Lab), school of information science and engineering, Lanzhou University, China, supervised by Prof. Hong Peng and Prof. Bin Hu. From 12/2019-09/2018, I am a guest student at the the shenzhen institute of advanced technology, chinese academy of sciences, china.

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Education

Ph.D. in Biomedical engingneering, 2024
Beihang University
MEng in electronic and communication engineering, 2020
Lanzhou University
B.Eng. in electronic information engineering, 2017
Wuyi University

Interests

computational neuroscience
neural modeling
inverse problems and brain network analysis
Machine Learning and pattern recognition

Academic News

Everything in this world is temporary and eternal

Paper accept: ISBI2023 and CNS Neurosci Ther

Recently, two of our papers were accepted by ISBI2023 and CNS Neurosci. Ther., continue to work hard

Cancheng Li

Last updated on Jan 29, 2023 1 min read

Journal Reviewer invitation

Recently, I will serve as a reviewer for Pattern Recognition!

Cancheng Li

Last updated on Dec 22, 2022 1 min read

Paper accept: Computers in Biology and Medicine

Our paper on Automatic joint segmentation of and lumen in carotid artery ultrasound images got accepted to Computers in Biology and …

Cancheng Li

Last updated on Sep 26, 2022 1 min read

Paper accept: Journal of Neural Eng.

Our paper on “Dynamic brain functional network based on EEG microstate during sensory gating in schizophrenia” got accepted …

Cancheng Li

Last updated on Aug 13, 2022 1 min read

Paper accept: IEEE TNSRE

Our paper on Classification of first-episode schizophrenia, chronic schizophrenia and healthy control based on brain network of …

Cancheng Li

Last updated on Aug 13, 2022 1 min read

Paper accept: Neurocomputing

Our paper on A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation …

Cancheng Li

Last updated on Aug 13, 2022 1 min read

See all posts

Experience

PREVIOUS ASSOCIATIONS THAT HELPED TO GATHER EXPERIENCE

Guest student

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

Oct, 2018 – Dec, 2019 Shenzhen, China

Research Assoicate

ubiquitous Awareness and Intelligent Solutions Lab

Jul, 2017 – Aug, 2020 Lanzhou, China

Accomplishments

PREVIOUS ASSOCIATIONS THAT HELPED TO GATHER EXPERIENCE

Second Prize of the 12th Academic Annual Conference of Lanzhou University

Lanzhou University Jan 2020

Third Prize of the 13th China Graduate Electronic Design Competition

Lanzhou University Jun 2018

Service & leadership

I believe that helping others will benefit yourself as well

Journal Review

Journal & Conference Review Jan 2018

Conference Review

Journal & Conference Review Jan 2018

BIBE

Recent Publications

Numbers: 18| Citations: 143 | h-index: 5 | i10-index: 4

The association of magnetoencephalography high-frequency oscillations with epilepsy types and a ripple-based method with source level connectivity for mapping epilepsy sources

L. Shi, C. Li, L. Lin, Y. Wang, J. Zhang, CNS Neurosci. Ther., 2023

Project DOI

HRU-Net: A Transfer Learning Method for Vulnerable Plaque Segmentation in Carotid Arteries Ultrasound Images

Y. Yuan, C. Li, K. Zhang, Y. Hua and J. Zhang, Diagnostics 2022, 12 (11), 2852

PDF DOI

Joint Segmentation of Intima-Media Complex and Lumen in Carotid Ultrasound Images

Y. Yuan, C. Li, L. Xu, S. Zhu, Y. Hua, and J. Zhang, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2022), 2022, 1796-1799

Project DOI

CSM-net: Automatic joint segmentation of and lumen in carotid artery ultrasound images

Y. Yuan, C. Li, L. Xu, S. Zhu, Y. Hua, J. Zhang, Computers in Biology and Medicine, 2022

Project DOI

Dynamic brain functional network based on EEG microstate during sensory gating in schizophrenia

Q. Chang, C. Li, J. Zhang and C Wang, J. Neur. Eng., 2022, 19(2), 026007.

PDF DOI

Motor-imagery classification model for brain-computer interface: a sparse group filter bank representation model

Li, C., Qin, C. and Fang, J., arXiv preprint arXiv:2108.12295

PDF DOI

Classification of first-episode schizophrenia, chronic schizophrenia and healthy control based on brain network of mismatch negativity by graph neural network

Q. Chang, C. Li, Q. Tian, Q. Bo, J. Zhang, Y. Xiong and C. Wang, IEEE Trans. Neural Sys. Rehe. Eng. 2021, 29, 1784-1794

PDF DOI

A Gait Assessment Framework for Depression Detection Using Kinect Sensors

T. Wang, C. Li, C. Wu, C. Zhao, J. Sun, H. Peng, X. Hu, B. Hu, IEEE Sensors Journal, 2021, 21 (3), 3260-3270

PDF DOI

A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation

Peng, H., Li, C., Chao, J., Wang, T., Zhao, C., Huo, X., Hu, B, Neurocomputing, 2021, 424, 179-192

PDF DOI

Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality

J. Fang, T. Wang, C. Li, X. Hu, E. Ngai, B. Seet, J. Cheng, Y. Guo, X. Jiang, IEEE ACCESS, 2019, 21 (3), 3260-3270

PDF Project DOI

Fusing Joint Features of EEG Brain Functional Connectivity Networks for Anxiety Recognition

C. Li, T. Liu, L. Shi, C. Yuan, C. Lei, and J. Zhang, ISBI2023

Project DOI

Multi-Bands Joint Graph Convolution EEG Functional Connectivity Network for Predicting Mental Disorders

C. Li, S. Gao and J. Zhang, IJCAI-workshop

Project DOI

Recent & Upcoming Talks

some interesting work

IEEE ISBI2023 conference Post presentation

Cancheng Li

Apr 11, 2023 15:30 — 15:45 Cartagena de Indias.Colombia

Talking about the Motor-imagery BCI classification.

The second prize (master degree) of the LZU UAIS LAB academic annual conference

Cancheng Li

Jan 1, 2020 15:30 — 15:45 Feiyun building406, Lanzhou University, China

Talking about the Motor-imagery BCI classification.

The second prize of the 12th postgraduate academic annual conference (LZU)

Cancheng Li

Dec 30, 2019 15:30 — 15:45 Feiyun building, Lanzhou University, China

Talking about the Motor-imagery BCI classification.

Teaching

Teaching benefits teachers as well as students

Teaching Assistant - Mathematical Physics Method (2017 Fall graduate)

School of Information Science and Engineering, Lanzhou Univesity Sep 2017 – Jan 2018

Teaching Assistant - Comunication theory (2017 Fall graduate)

School of Information Science and Engineering, Lanzhou Univesity Sep 2017 – Jan 2018

Projects

ALL THINGS ARE DIFFICULT BEFORE THEY ARE EASY

Anxiety EEG and T1 MRI functional connectivity

Efficient tool to explore the anxiety disorder

Application of Optimization Theory to Automatic Detection of Epilepsy

Exploring an automated epilepsy detection system

Dynamic brain functional network based on EEG microstate in schizophrenia

Exploring the dynamic brain functional network

Moter-imagery classification for brain-computer interface

Improving the performance of the moter-imagery BCI

The gait-based undisturbed diagnostic analysis of adolescents

Efficient tool to explore the depression disorder

Carotid Arteries Vulnerable Plaque Sementation in Ultrasound Images

Deep learning in Ultrasound Images

Gallery

In addition to research work, there are many pleasures in life！

Links

Stand on the shoulders of giants

Thanks to all my academic collaborators

List Jul 2020

Laboratory

(previously and currently working) Jul 2020

subject

Academic News Academic Talks Deep Learning in Segementation Epilepsy Detection Journal and Conference Articles Mental disorder Diagnosis Others Psychiatry Brain Connectivity

Cancheng Li

PhD. candidata,

Education

Interests

Academic News

Experience

Guest student

Research Assoicate

Accomplishments

Second Prize of the 12th Academic Annual Conference of Lanzhou University

Third Prize of the 13th China Graduate Electronic Design Competition

Service & leadership

Journal Review

Conference Review

Recent Publications

Recent & Upcoming Talks

Teaching

Teaching Assistant - Mathematical Physics Method (2017 Fall graduate)

Teaching Assistant - Comunication theory (2017 Fall graduate)

Projects

Anxiety EEG and T1 MRI functional connectivity

Application of Optimization Theory to Automatic Detection of Epilepsy

Dynamic brain functional network based on EEG microstate in schizophrenia

Moter-imagery classification for brain-computer interface

The gait-based undisturbed diagnostic analysis of adolescents

Carotid Arteries Vulnerable Plaque Sementation in Ultrasound Images

Gallery

Links

Thanks to all my academic collaborators

Laboratory

subject

Contact