Feel free to check out my papers! You can click on each paper's title to open its abstract.
Deep Learning for Gastric Location Classification: An Analysis of Location Boundaries and Improvements through Attention and Contrastive Learning
Chenxi Zhang, Alex Ding, Zhehong Fu, Jing Ni, Qilei Chen, Zinan Xiong, Benyuan Liu, Yu Cao, Shujiao Chen, Xiaowei LiuSpecial Issue for the ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2023Learning Body-Aware 3D Shape Generative Models
Bryce Blinn, Alex Ding, R. Kenny Jones, Manolis Savva, Srinath Sridhar, Daniel RitchieDetection of Endoscope Withdrawal Time in Colonoscopy Videos
Ying Li, Alex Ding, Yu Cao, Benyuan Liu, Shujiao ChenIEEE International Conference on Machine Learning and Applications (Pasedena, California), December 2021Gastric Location Classification During Esophagogastroduodenoscopy Using Deep Neural Networks
Alex Ding, Ying Li, Qilei Chen, Yu Cao, Benyuan Liu, Shujiao Chen, Xiaowei LiuIEEE Symposium on Bioinformatics and Bioengineering (Kragujevac, Serbia), October 2021Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks
Alex Ding, Qilei Chen, Yu Cao, Benyuan LiuInternational Joint Conference on Neural Networks (Glasgow, United Kingdom), July 2020An Evaluation of UPC++ by Porting Shared-Memory Parallel Graph Algorithms
Alex Ding, Yan GuFall MIT PRIMES Conference (Cambridge, Massachusetts), October 2019