1. Pairwise Learning for Autism Spectrum Disorder Imbalanced Classification. Shu Liu, Qiang Wu, Xin Yang. (Under Review)
2. Study of UV-Vis Molar Absorptivity Variation and Quantitation of Anthocyanins Using Molar Relative Response Factor.  Wen Dong, Xin Yang, ... (Food Chemistry, Feb 2024)
3. Autism Spectrum Disorder (ASD) Classification with Three Types of Correlations Based on ABIDE I Data. Donglin Wang, Xin Yang, Wandi Ding. (Mathematical Foundations of Computing, Oct 2023)
4. Comparative study of machine learning methods on ASD classification. Ramchandra Rimal, Mitchell Brannon, Yingxin Wang, Xin Yang. (International Journal of Data Science and Analytics, July 2023)
5. Group-level analysis of relations between resting-state functional connectivity and arithmetic ability using CONN. The 9th International Conference on Computational Science and Computational Intelligence - CSCI'22. Dec 14-16th, 2022. Grace Metri, Xin Yang. (Undergraduate Student)
6. Functional Connectivity Based Classification for Autism Spectrum Disorder using Spearman’s Rank Correlation. The 7th IEEE-EMBS Conference on Biomedical Engineering and Sciences - IECBES 2022. Dec 7-9th, 2022. Xin Yang, Ramchandra Rimal, Tiffany Rogers. 
7. Non-contact Heart Rate Detection Based on Fusion Method of Visible Images and Infrared Images. Artificial Intelligence and Security: 8th International Conference -- ICAIS 2022, pp. 62-75, July 2022. Juncun Wei, Jiancheng Zou, Jiaxin Li, Zhengzheng Li, Xin Yang
8. A Study of Brain Networks for Autism Spectrum Disorder Classification using Resting-State Functional Connectivity. Machine Learning with Applications. pp. 1-18, Volume 8, Mar 2022. Xin Yang, Ning Zhang, Paul T. Schrader
9. Comparing Speed Reduction of Adversarial Defense Systems on Deep Neural Networks. IEEE International Conference on Imaging Systems & Techniques - IST 2021, pp. 1-5, Aug 24-26, 2021. Andrew Bowman, Xin Yang. (Graduate Student)
10. Deriving autism spectrum disorder functional networks from rs-fMRI data using group ICA and dictionary learning. 11th International Conference on Computer Science and Information Technology - CCSIT 2021. Volume 11, No. 07, pp. 171-184, May 29-30, 2021, Vancouver, Canada. Xin Yang, Ning Zhang, Donglin Wang.
11. Infrared and Visible Image Fusion Based on NSST and RDN. Intelligent Automation & Soft Computing. Vol. 28, No. 1, 2021, pp. 213-225, Mar 17, 2021. Peizhou Yan, Jiancheng Zou, Zhengzheng Li, Xin Yang.
12. A Deep Neural Network Study of the ABIDE Repository on Autism Spectrum Classification. International Journal of Advanced Computer Science and Applications, Vol. 11, No. 4, 2020. Xin Yang, Paul T. Schrader, Ning Zhang.
13. Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multi-site ABIDE dataset. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’19), USA, May 19-22, 2019. Xin Yang, Mohammad Samiul Islam, A M Arefin Khaled.
14. Non-Contact Real-Time Heart Rate Measurement Algorithm Based on PPG- Standard Deviation. Computers, Materials & Continua. Vol. 60, No. 3, pp. 1029- 1040, 2019. Jiancheng Zou, Tianshu Chen, Xin Yang.
15. Deep Learning-based framework for Autism functional MRI Image Classification. Journal of the Arkansas Academy of Science, Vol. 72, 2018. Xin Yang, Saman Sarraf, Ning Zhang.
16. Spatial Regularization for Multitask Learning and Application in fMRI Data Analysis. British Journal of Mathematics and Computer Science, 14(4): 1-13, 2016. Xin Yang, Qiang Wu, Jiancheng Zou, Don Hong.
17. Spatial Regularization for Neural Network and Application in Alzheimer’s disease Classification. IEEE Future Technology Conference, 831-837, 2016. Xin Yang, Qiang Wu, Don Hong, Jiancheng Zou.
18. Dual-channel noise reduction via sparse representations. 14th IEEE International Workshop on Multimedia Signal Processing, Canada, September 17-19, 2012. Jiancheng Zou, Jingsai Liang, Xin Yang.
19. A Novel Robust Watermarking Method for Certificates Based on DFT and Hough Transforms. Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Germany, 15-17 October 2010. Jiancheng Zou, Xin Yang, Shaozhang Niu.

« Read Less

International Conferences:

1. Pairwise Learning for Autism Spectrum Disorder Imbalanced Classification. IEEE ECBIOS 2024 IEEE 6th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability. Online Presentation. (June 15th, 2024)

2. Functional Connectivity Based Classification for Autism Spectrum Disorder using Spearman's Rank Correlation. The 7th IEEE-EMBS Conference on Biomedical Engineering and Sciences - IECBES 2022. (December 7th, 2022)

3. The 11th International Conference on Computer Science and Information Technology - CCSIT 2021. May 29th, 2021.

Institutional Conferences:

1. Machine Learning for Neuroimaging Data Analysis. Computation and Data Science (CDS) Seminar at MTSU, November 4th, 2022.

2. Functional Connectivity Magnetic Resonance Imaging Classification of Autism Spectrum Disorder using Multisite ABIDE Dataset. Faculty Research Exchange at MTSU, April 15th, 2021.

« Read Less

1. USDA: Creation and Expansion of Botanical Database and Data Analysis Tools, $181,819, Sep 2023. (Co-PI at MTSU)

2. USDA: Development and Maintenance of a Botanical Database, $168,400, Sep 2022.  (Co-PI at MTSU)

3. MT-IGO Award: Identify abnormal functional connectivity in autism spectrum disorder using multi-metric data Ensemble FC, $10,000, April 2022. (PI at MTSU)

4. USDA: Development of Expert Computer Programs for Identification of Secondary Metabolites in Mass Spectral Data, $42,000, Oct 2021. (Co-PI at MTSU)

5. NSF EPSCoR RII Track-1 Grant: Data Analytics that are Robust and Trusted (DART), June 2020. (Junior Researcher at SAU)

6. Teaching & Learning using Nao Robot, Teaching with Technology grant from SAU, $2000, 2018. 

7. Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multi-site ABIDE dataset, Research grant and fellowship from SAU, $5000, 2018. (PI)

8. Machine Learning Techniques and application in Neuroimaging Data analysis, Research grant and fellowship from SAU, $3000, 2016. (PI)

9. NSF Data Science Workshop travel award from the University of Washington, $1000, 2015.

10. MTSU Scholar Week Presentation Second Prize, 2015.

« Read Less

1. MTSU Undergraduate Research Experience and Creative Activity (URECA) Award (Silver Level), Sep 20th, 2021.  Project Title: Applying Machine Learning to Identify Autism Spectrum Disorder Using rs-fMRI Datasets Parsed by Age and Gender. (Undergraduate Student: Marie McCord,  Mentor: Xin Yang)
2. MTSU CBAS Scholar Week Poster Competition, Second Prize, 2021.  Project Title: An Advanced Convolutional Neural Network for Detecting Chest X-ray Abnormalities. (Graduate Student: Fady Tawfik, Mentor: Xin Yang)
3. MTSU CBAS Scholar Week Poster Competition, 2021. Project Title: Comparing Speed Reduction of Adversarial Defense Systems on Deep Neural Networks. (Graduate Student: Andrew Bowman, Mentor: Xin Yang)
4. MTSU Undergraduate Research Experience and Creative Activity (URECA) Award (Assistant Level), May 13th, 2021.  Project Title: Artificial Intelligence-Driven Chatbot using Rasa and Python. (Undergraduate Student: Ahmad Mohammad, Jackson Fry, Mentor: Xin Yang)
5. REU Site Award at Florida International University, Miami. April 2022. Research Title: Security of Smart Things (Undergraduate Student: Ahmad Mohammad, Mentor: Xin Yang)
6. MTSU Computer Science S-STEM Summer Research. May 2022. Project Title: Machine Learning for Neuroimaging Data Analysis (Graduate Students: Scott Hartsell, Caleb Griffy, Nolen Collins, Mentor: Xin Yang)
7. MTSU Scholar Week Poster Competition, Mar 2023. Project Title: Utilization of A Traditional Machine Learning Method to Classify Autism Spectrum Disorder (Graduate Students: Caleb Griffy, Scott Hartsell, Mentor: Xin Yang)
8. MTSU Undergraduate Research Experience and Creative Activity (URECA) Award (Assistant Level), April 21st, 2023.  Project Title: Artificial Intelligence-Driven Snake Game. (Undergraduate Student: Christopher Keiningham,  Mentor: Xin Yang)
9. MTSU CBAS Scholar Week Poster Competition, 2023. Project Title: Artificial Intelligence-Driven Snake Game. (Undergraduate Student: Christopher Keiningham,  Mentor: Xin Yang)
10. Graduate Thesis. November 2023. Thesis Title: Utilizing Machine Learning Techniques to Identify Autism Spectrum Disorder Using fMRI Data. (Graduate Student: Jansen Long, Mentor: Xin Yang)

« Read Less

1. Finding Shortest Path in Ruthford Country (Undergraduate Student: Cayson Seipel (Major: Data Science), Mentor: Xin Yang (CSCI-3080))
2. Personal Webpage  (Undergraduate Student: Joshua Cox (Major: Computer Science), Mentor: Xin Yang (CSCI-4410))
3. Personal Homepage (Undergraduate Student: Grace Metri (Major: Computer Science), Mentor: Xin Yang (CSCI-4410))
4. Web-based Calculator (Undergraduate Student: Matthew Wootten (Major: Computer Science), Mentor: Xin Yang (CSCI-4410))
5. Web-based Calculator (Undergraduate Student: Joshua Cox (Major: Computer Science), Mentor: Xin Yang (CSCI-4410))

« Read Less