CV

Ph.D.

Utah State University

• Supervisor: Dr. Heng-Da Cheng.
• Dissertation: Breast Ultrasound Image Segmentation Based on Uncertainty Reduction and Context Information.
• Best Dissertation Award.

B.Eng.

Harbin Institute of Technology

• Thesis topic: Estimating Lithium-ion Batteries State of Health (SOH) Using Particle Filter.

Assistant Professor

Kean University, Union, NJ

Post-doctoral Researcher

Baylor College of Medicine, Houston, Texas

Teaching Assistant

Utah State University, Logan, Utah

Breast Ultrasound Image Segmentation

• Fuzzy deep convolutional neural network.
• Involving breast anatomy in segmentation.
• Shape-adaptive convolutional operator.
• Breast ultrasound image classification.
• Generative adversarial networks for segmentation.
• Interpretability of convolutional features in medical images.
• Weakly supervised and active learning in medical images.

Pathology Image Analysis

• Image style translation in pathology image.
• Nuclei instance segmentation and classification in H&E images.
• Weakly supervised nuclei distribution prediction in H&E images.

Students Partnering with Faculty (SpF) 2023 Awards, Kean University

Best Dissertation Award, Utah State University

Travel grant of the 24th International Conference on Pattern Recognition