Curriculum Vitae

Dr. Ting Wang

Associate Professor

Department of Computer Science

Chengdu University of Information Technology

Contact:wangting@cuit.edu.cn

Dr. Ting Wang is an assistant professor of Department of Computer Science, Chengdu University of Information Technology. Shereceived the Ph.D. degree in Medical Information Engineering from the Sichuan University, Chengdu, China, in 2016. From 2019 to 2020, she wasa visiting schoolar at the Vanderbilt University Institute of Imaging Science, Vanderbilt University, USA.Her research interests include machine learning and MRI analysis.

Research interests:

1. Image processing and computational imaging

2. Natural language processing

Courses:

Artificial Intelligence, Principle and Application of Database, Cloud Computing for undergraduate students

Publications (past 5 years):

1.Yongqing Zhang, Siyu Chen, Wenpeng Cao, Peng Guo, Dongrui Gao, Manqing Wang, Jiliu Zhou,Ting Wang^*. MFFNet: Multi-dimensional Feature Fusion Network Based on Attention Mechanism for sEMG Analysis to Detect Muscle Fatigue. Expert Systems With Applications, 2021, 185:115639.

2.Ting Wang,D. Mitchell Wilkes, Muwei Li, Xi Wu^*, John C. Gore, Zhaohua Ding^*. Hemodynamic response function in brain white matter in a resting state, Cerebral cortex communications, 2020, 1(1): tgaa056.

3.Ting Wang, Xi Wu, Jiefeng Jiang, Chang Liu, Ming Zhu^*, Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study, International Journal of Imaging System Technology (SCI, IF: 1.254), 2019, 30:92–103.

4.Ting Wang, Zhiyun Lian, Xi Wu, Yazhuo Kong, Hongyu Zhou^*, Min Wei^*, Subcortical structural abnormalities in female neuro myelitis optica patients with neuropathic pain, Multiple Sclerosis and Related Disorders (SCI, IF: 2.725), 2019, 37 (2020) 101432.

5.Xinfang Wang , Lianqing Hong , Xi Wu , Jia He,Ting Wang^*, Hongbo Li, Shaoling Liu, Development of an Ultrasonic Nomogram for Preoperative Prediction of Castleman Disease Pathological Type, Computers, Materials & Continua (SCI, IF: 3.024), 2019,61(1), 141-154.

6.Xi Wu,Ting Wang, Chang Liu, Tao Wu, Jiefeng Jiang, Dong Zhou, Jiliu Zhou^*, Functions of Learning Rate in Adaptive Reward Learning, Frontiers in Human Neuroscience (SCI, IF: 3.634), 2017, 11(5):1-15.