Homepage of Dicheng Chen(English, 中文)

Ph.D. candidate
Department of Electronic Science,School of Electronic Science and Engineering (National Model Microelectronics College), Xiamen University.
Computational Sensing Group at Xiamen University

Biosketch Research interests Education Research and Teaching Experiences Selected Awards Professional Skills Recent Publications


Dicheng Chen is a PhD candidate of Department of Electronic Science at Xiamen University in China.

Research Interests

Deep learning

d Medical signal processing

Magnetic resonance spectroscopic imaging

d Ph.D. candidate (Sept. 2019-Current) 
Advisor: Xiaobo Qu
Major : Electronics and Communication Engineering.
Xiamen University, Fujian Province, China.
d Graduate Student (Sept. 2016-June 2019)  
Advisor: Prof. Dazhi Jiang
Major : Department of Computer Science,
ShanTou University, Guangdong Province, China.

B.S. (Sept. 2011-June 2015) Department of Computer Science,
Guangdong Pharmaceutical University, Guangdong Province, China.

Research and Teaching Experiences
(a) Medical biological signal processing and analysis

Research on automatic recognition of emotional state for non-contact, unstable and long time scale physiological signals.


Research on multimodal physiological signals for VDT operators.


Research on health diagnosis based on massive sign signal data.

(b) Deep learning

A three-layer auto-coded neural network combining time window, empirical modal decomposition and deep learning was studied to predict the occurrence of acute hypotension.


In order to improve the interpretability of medical models, we studied hybrid artificial intelligence models of deep learning, multi-gene expression programming (GEP) and fuzzy expert system.


To study diagnosis and prognosis of cancer based on cell distribution characteristics.

Selected Wards

2018, The Second prize in China, National "teddy cup" data analysis vocational skills contest.

2015, The Third prize in Guangdong Province in China, National contest in mathematical modeling for college students.

Professional Skills
(a) Medical biological signal processing
Biological blood pressure signal processing.
Magnetic resonance Spectral processing.
(b) Deep learning

Deep learning framework: tensorflow, torch.

Mastered programming languages: Python, Matlab.

Recent Publications
(a) Journal paper

G. Xiao, A. Garg, D. Chen*, D. Jiang*, W. Shu and X. Xu, AHE Detection With a Hybrid Intelligence Model in Smart Healthcare, in IEEE Access, vol. 7, pp. 37360-37370, 2019. (SCI, JCR 2, IF 4.1).


DazhiJiang*, KaichaoWu,DichengChen, GengTua, TengZhou, AkhilGarg, LiangGao, A probability and integrated learning based classification algorithm for high-level human emotion recognition problems, MEASUREMENT Volume 150. 2019 (SCI, JCR 2, IF 2.79).


Dicheng Chen#, Zi Wang#, Di Guo, Vladislav Orekhov, Xiaobo Qu*, Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy,Chemistry -A European Journal, DOI: 10.1002/chem.202000246, 2020. (SCI, JCR 2, TOP Journal, IF: 5.2)