Xin Zhang

Assistant Professor of Computer Science

(207) 780-4499

xin.zhang@maine.edu

Download Curriculum Vitae

Room 117 Science Building, USM Portland Campus

Education

Ph.D. Electrical Engineering, University of South Carolina, USA, 2023
M.S. Software Engineering, Chongqing University, China, 2019
B.S. Software Engineering, Chongqing University, China, 2016

Current Courses

Spring 2024 Instructor-University of Southern Maine

System Programming

Computer Organizations

Research Interests

Computer vision, particularly the robustness of CNNs, partial-label related problems, and depth estimation problem. Applied deep learning and machine learning.

Xin Zhang is joining the department in January 2024. He received his Ph.D. in Electrical Engineering, under the direction of Dr. Xiaofeng Wang, where he focused on the topic of how to quantitatively evaluate and enhance the robustness of convolutional neural network. His current research interest includes computer vision, applied deep learning, and machine learning.

The link to my personal website:https://zhangx192 3.github.io/

Department of Computer Science

Expertise

Extensive teaching experience for multiple courses, including Algorithm Analysis and Design, Operating Systems, Object-oriented Programming(C++) and Real-Time Systems (C & Matlab). Active learner with a strong background in computer science, familiar with various mainstream programming languages and software libraries. Competent programmer with experience in several industrial projects, including Web, WinForm, Android APPs and applied DL systems.

Selected Publications

Zhang, Xin, et al. "Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels." 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA). IEEE, 2023.

Zhang, Xin, et al. "Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image." 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE, 2022.

Zhang, Xin, et al. "An Effective Approach for Multi-label Classification with Missing Labels." 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE, 2022.

Zhang, Xin, et al. "An efficient quantum circuits optimizing scheme compared with qiskit." Collaborative Computing: Networking, Applications and Worksharing: 14th EAI International Conference, CollaborateCom 2018, Shanghai, China, December 1-3, 2018, Proceedings 14. Springer International Publishing, 2019.