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Tong Liang

Ph.D. Candidate

liang.693@osu.edu
614-531-8682
ltong1130ztr
Tong-Liang-8
tong-liang-b73771115

Work Experiences

Ohio State University
2022.01 - present
Graduate Teaching Associate
Columbus

I am an instructor for the Advanced C Programming course (CSE 2451) in the Computer Science and Engineering Department of OSU, I’m responsible for preparing the slides, teaching the undergraduate students, and grading the assignments and exams.

Ohio State University
2018.05 - 2021.12
Graduate Research Associate
Columbus

Skills

Programming Language
Python C MATLAB C++
ML Frameworks
PyTorch Scikit-Learn
Tools and Environments
Git Conda Linux Windows
Other applicable skills
effective interpersonal communication teamwork mentality mentoring experience with undergraduate students presentation of research work
Courses
Computer Vision Deep Learning Machine Learning Pattern Recognition Artificial Intelligence Statistical Analysis Probability and Random Variable Data Mining Database Data Structure Advanced Operating System Foundation of Programming Language Signal Processing Medical Imaging Image Processing

Education

Ohio State University
2018 - present
Computer Science and Engineering
Ph.D.

I am majored in artificial intelligence, and my research mainly focuses on the utilization of hierarchical label relationships in image classification. My expected graduation date is December 2024.

Ohio State University
2015 - 2017
Electrical and Computer Engineering
Master

GPA 3.7

University of Electronic Science and Technology of China
2012 - 2016
Electrical and Electronics Engineering
Bachelor

GPA 3.7

Publications

Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity
Tong Liang, Jim Davis
ICCV, 2023.
Bottom-up Hierarchical Classification Using Confusion-based Logit Compression
Tong Liang, Jim Davis, Roman Ilin
arXiv, 2021.
Hierarchical Classification with Confidence using Generalized Logits
Jim Davis, Tong Liang, James Enouen, Roman Ilin
International Conference on Pattern Recognition, 2021.
Hierarchical Semantic Labeling with Adaptive Confidence
Jim Davis, Tong Liang, James Enouen, Roman Ilin
International Symposium on Visual Computing, 2019.
Assessment of Machine Learning Methods for Modeling Alpine Grassland Biomass in Southern Qinghai Province, China
Tong Liang, Qisheng Feng, Jing Ge, Hongjie Xie, Tiangong Liang
International Conference on Computer Science and Application Engineering, 2019.
Atlas-Based Segmentation of Temporal Bone Anatomy
Kimerly A. Powell, Tong Liang, Bradley Hittle, Don Stredney, Thomas Kerwin, G. J. Wiet
International Journal of Computer Assisted Radiology and Surgery, 2017.

Languages

Chinese [Native]
English [Professional]