C/C++, Java, JavaScript, Full Stack Development, Web Technology

Congcong (Rachel) Jin

Æ 949-***-**** • Q *******@***.*** • www.linkedin.com/in/rachel-jin

Education

UNIVERSITY OF CALIFORNIA, IRVINE, Irvine, CA 09/2019 – 12/2020 (Expected) M.S. in Computer Science, Donald Bren School of Information and Computer Sciences ROCHESTER INSTITUTE OF TECHNOLOGY, Rochester, NY State 09/2018 – 11/2018 Visiting Student, B. Thomas Golisano College of Computing & Information Sciences XI’AN JIAOTONG UNIVERSITY, Xi’an, China 09/2016 – 06/2019 M.S. in Software Engineering, School of Software Engineering (Ranking: 2/95) Technical Skills

+ Programming Languages: C, C++, Java, Python, JavaScript, HTML, CSS, SQL

+ Techniques and Tools: Full Stack Development, Information SystemDesignandImplementation,Web Technologies, Deep Learning, Linux, Git

Internship

Action Recognition and Pose Estimation for Classroom Students CVTE Co., Ltd, Guangzhou, China 02/2019 – 05/2019

+ Improved and boosted existing network performance and achieved more than 90% accuracy on self-collected data using Python and PyTorch

+ Classified each students’ action into one category based on Real-Time Human Detection and Neural Networks

+ Differentiated students among consecutive frames according to Person Re-Identification Project Experiences

Online Course Platform

+ Designed and implemented the online course platform for users to watch online course videos, take exams, get feedback and discuss questions

+ Stored and retrieved data into/from MySQL database based on Java Database Connectivity Customer Relationship Management System

+ Developed the CRM to manage information of customers, personnel, transactions and commodities using Java

+ Responded to user requests and extended Tomcat functions by implementing Servlets Library Information Management System

+ Implemented the system to manage information of readers, books, book borrowing and returning using Java

+ Techniques learned: Java, JavaScript, Browser/Server mode, MySQL database, Java Database Connectivity, SQL, Apache Tomcat, HTML

Few-shot Human Action Prediction

+ Classified each video clip into one action class based on Few-shot Learning and achieved about 94% accuracy

+ Techniques applied: Python, PyTorch, Deep Neural Networks, Optical Flow and RGB Flow theories Point Cloud Registration

+ Registered two or more point cloud data to achieve 3D Reconstruction and recover original scene of objects

+ Techniques applied: C/C++, low rank and sparse matrix decomposition, hard and soft assignments Publications

+ Congcong Jin, Jihua Zhu, Yaochen Li and et al. Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions. IET Computer Vision, 13 (2019): 376–384.

+ Jihua Zhu, Congcong Jin, Zutao Jiang and et al. Robust Point Cloud Registration Based on Both Hard and Soft Assignments. Optics & Laser Technology, 110: 202–208.

+ Yiqiong Zhou, Siyu Xu, Congcong Jin, Ziyi Guo. Multiple Point Sets Registration Based on Expectation Maximization Algorithm. Computers and Electrical Engineering, 70 (2018): 1–11.

+ Zutao Jiang, Jihua Zhu, Congcong Jin, Siyu Xu and et al. Simultaneously Merging Multi-robot Grid Maps at Different Resolutions. Multimedia Tools and Applications, 2019: 1–20.

+ Jihua Zhu, Di Wang, Xiuxiu Bai, Huimin Lu, Congcong Jin and et al. Registration of Point Clouds Based on the Ratio of Bidirectional Distances, International Conference on 3D Vision, pp. 102–107.

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