The 1st International Workshop on Deep Learning Techniques for Bioinformatics and Biomedicine (DLBIBM 2020)

The 1st International Workshop on Deep Learning Techniques for Bioinformatics and Biomedicine (DLBIBM 2020)

In conjunction with

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020)

December 16-19, 2020, Seoul, South Korea

Scope

The deep learning techniques (e.g. neural network (NN), convolutional neural network (CNN), recurrent neural network (RNN), long short-term memory (LSTM) networks) have been the powerful tools for various bioinformatics and biomedicine applications. These techniques can be used to support the disease detection and prevention, cancer detection and prevention, disease prediction, experimental medicine, emergency, medication management, healthcare management, etc. For instance, the CNN has been used to recognize the images of x-ray photographs for fibrosis detection and cancer classification. The image features of fibrosis can be filtered by convolutional layers in the CNN. Furthermore, the unsupervised learning techniques (e.g. auto-encoder (AE), de-noise auto-encoder (DAE), restricted Boltzmann machine (RBM), deep belief network (DBN), and deep Boltzmann machine (RBM)) and deep learning frameworks (e.g. reinforcement learning and federated learning) have been proposed to represent data and extract data features for overfitting prevention and secured data service production. Therefore, the deep learning techniques and frameworks can provide the precise detection and prediction for healthcare applications.

While the area of deep learning methods for bioinformatics and biomedicine is a rapidly expanding field of scientific research, several open research questions are still needed to be discussed and studied. For instance, using and improving deep learning methods for disease detection and prevention, cancer detection and prevention, disease prediction, experimental medicine, emergency, medication management, and healthcare management. This workshop named “Deep Learning Techniques for Bioinformatics and Biomedicine” in conjunction with the 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020) will solicit papers on various disciplines of bioinformatics and biomedicine.

Topics

  • Deep learning for disease detection and prevention
  • Deep learning for cancer detection and prevention
  • Deep learning for disease prediction
  • Deep learning for experimental medicine
  • Deep learning for emergency
  • Deep learning for medication management
  • Deep learning for healthcare management
  • Bioinformatics and biomedicine applications based on deep learning
  • Bioinformatics and biomedicine applications based on reinforcement learning
  • Bioinformatics and biomedicine applications based on federated learning
  • Bioinformatics and biomedicine applications based on machine learning

Important Dates:

Paper Submission DeadlineOct 15, 2020
Author NotificationNov 5, 2020
Camera-Ready Paper DueNov. 26, 2020
Conference DatesDec 16-19, 2020

Organizing Committee

Program Chairs

  • Prof. Wenzhong Guo (Fuzhou University, China)
  • Prof. Vincent S. Tseng (National Chiao Tung University, Taiwan)
  • Prof. Chi-Hua Chen (Fuzhou University, China)

Program Committee Members

  • Prof. Haishuai Wang (Fairfield University & Harvard University, US)
  • Prof. Liang Wang (East Tennessee State University, US)
  • Dr. Xiaochun Zhang (Zhongnan Hospital of Wuhan University, China)
  • Prof. Xiao-Guang Yue (European University Cyprus, Cyprus)
  • Dr. Lingjuan Lyu (National University of Singapore, Singapore)
  • Dr. Bochao Danae Lin (University Medical Center Utrecht, Netherlands)
  • Prof. Feng-Jang Hwang (University of Technology Sydney, Australia)
  • Prof. Xiongbiao Luo (Xiamen University, China)
  • Prof. Xinglong Wu (Wuhan Textile University, China)
  • Prof. Lianrong Pu (Fuzhou University, China)
  • Prof. Chunjia Han (University of Greenwich, United Kingdom)
  • Prof. Yuan-Nong Ye (Guizhou Medical University, China)
  • Prof. Liang-Hung Wang (Fuzhou University, China)
  • Prof. Genggeng Liu (Fuzhou University, China)
  • Dr. Xiaoyan Li (Fuzhou University, China)
  • Dr. Ling Wu (Fuzhou University, China)
  • Dr. Ting Bi (Dublin City University, Ireland)
  • Dr. Yang Shi (University of California, Berkeley, US)
  • Prof. Hsu-Yang Kung (National Pingtung University of Science and Technology, Taiwan)
  • Prof. Szu-Yin Lin (National Ilan University, Taiwan)
  • Prof. Hao-Hsiang Ku (National Taiwan Ocean University, Taiwan)
  • Prof. Bo-Wei Zhu (Macau University of Science and Technology, Macau)
  • Prof. Lei Xiong (Sichuan Fine Arts Institute, China)
  • Prof. Hsiao-Ting Tseng (National United University, Taiwan)
  • Prof. Chia-Yu Lin (Yuan Ze University, Taiwan)
  • Dr. Mengya Huang (Guizhou Medical University, China)
  • Dr. Yaxiao Qin (Analog Device, Inc., US)

Submission and Publication Information

Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance. 

Online Submission: https://wi-lab.com/cyberchair/2020/bibm20/scripts/ws_submit.php

Contact

Prof. Chi-Hua Chen, Email: chihua0826@gmail.com

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