Biography

Hi! I’m Ge, a Ph.D. candidate at the Computer Science Department in University of California, Davis. I received my M.S. degree in computer science at the College of Information and Computer Sciences in University of Massachusetts, Amherst. I received my B.S. degree in Automation from Zhejiang University.

Research

For my Ph.D., I’m doing research under the supervision of Prof. Davidson, Ian. I joined Machine Learning and Analytics Group led by Prof. Mahoney, Michael doing research in loss landscapes and its applications. I did research in the CV Lab working with Prof. Learned-Miller, Erik on my M.S. project (Video Stabilization via Super Congealing). I worked with Prof. Zhang, Yu on my B.S. project (SLAM: Simultaneous Localization and Mapping).

My research interests include: Computer Vision, Machine Learning, Artificial Intelligence, Data Mining and Robotics. My area of expertise is explainable AI and transparent models. Details can be found in the research list.

Download the PDF version of

Resume
CV

Researches

(Wait!) CRF-transplant: Post-hoc Processing Module Transplant Guarantees Improvements

(Wait!) Evaluating Loss Landscapes from a Topology Perspective

(Wait!) HALE: Hierarchical Aggregation of Local Explanations

(Wait!) Beyond Trial and Error: Unraveling Neural Networks’ Insights in Scientific Knowledge Discovery through Bivariate Optimization

(Wait!) LossLens: Diagnostics for Machine Learning Models through Loss Landscape Visual Analytics

SIG: Rethinking Baseline of Integrated Gradients from the Perspective of Shapley Value

Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis

Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme

Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches

Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation

Semantic Image Segmentation with PSPNet and Dense CRF