Chang Liu

Department of Computer Science
University of Massachusetts, Lowell
198 Riverside St.
Lowell, Massachusetts 01854, USA

Email: paul DOT liuchang AT gmail DOT com

Biography(Github)(Linkedin)(CV)

I am currently a machine learning manager at IQVIA. Before joining IQVIA, I obtained my Ph.D in Computer Science from University of Massachusetts Lowell in 2019. Before pursuing PhD, I worked three years as a software engineer for TP-LINK in China. Prior that, I received my B. Eng degree from the computer science and technology department from Huazhong University of Science and Technology in 2011.

My research interest includes computer vision, machine learning, medical imaging and edge computing. I'm interested in applying various deep learning techniques to different platforms and systems. Currently I'm interested in machine learning for healthcare, especially focus on clinical trial development and healthcare application with GenAI and LLM.

Technical Skills

Platforms: Unix, Ubuntu, CentOS, Windows 10, MacOS, Google Cloud, Amazon AWS, Microsoft Azure
Languages: Java, C/C++, Python, Shell, CMake/Make, LaTeX
Development Tools: QT, OpenCV, MySQL, Android Studio, Eclipse, PyCharm, MATLAB
Research Tools: Caffe, Tensorflow, Scikit-learn
Project Management & Version Control: Git, SVN, Agile ZenHub
Research Experience: deep learning, computer vision, machine learning, medical imaging, edge computing

Professional Experience

Sep 2019 - Present: Manager of Machine Learning, IQVIA Inc
Jun.2011 - Jun.2014: Software Engineer, TP-LINK Technologies Co., Ltd

Publications (Google Scholar)

eRx–A technological advance to speed-up TB diagnostics,
Marlon F Alcantara, Yu Cao, Benyuan Liu, Chang Liu, Ning Zhang, Pengfei Zhang, Terry Griffin, Walter H Curioso, Cesar Ugarte-Gil, Maria J Brunette
Smart Health, Elsevier (SMHL), 2020
An Edge Computing Visual System for Vegetable Categorization,
Chang Liu, Xizhe Wang, Jing Ni, Yu Cao, Benyuan Liu.
International Conference on Machine Learning and Applications (ICMLA), 2019
An Effective CNN approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling,
Jing Ni, Qilei Chen, Chang Liu, Honghao Wang, Yu Cao, Benyuan Liu.
International Conference on Machine Learning and Applications (ICMLA), 2019
TX-CNN: Detecting Tuberculosis in Chest X-Ray Images using Convolutional Neural Network,
Chang Liu, Yu Cao, Marlon F. Alcantara, Benyuan Liu, Maria J. Brunette, Jesus Peinado, Walter H. Curioso.
International Conference on Image Processing (ICIP), 2017
Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor Communities in Perú,
Marlon F. Alcantara, Yu Cao, Chang Liu, Benyuan Liu, Maria Brunette, Ning Zhang, Tong Sun, Peifeng Zhang, Qilei Chen, Ying Li, Cesar Morocho Albarracin, Jesus Peinado, Epifanio Sanchez Garavito, Leonid Lecca Garcia, Walter H. Curioso.
Smart Health, Elsevier (SMHL), 2017
A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure,
Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma, Songqing Chen, Peng Hou.
IEEE Transactions on Services Computing (TSC), 2017
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment, [Code]
Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, Yunsheng Ma.
International Conference on Smart Homes and Health Telematics, Springer International Publishing (ICOST), 2016
Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor and Marginalized Communities, [Slides]
Yu Cao, Chang Liu, Benyuan Liu, Maria J Brunette, Ning Zhang, Tong Sun, Peifeng Zhang, Jesus Peinado, Epifanio Sanchez Garavito, Leonid Lecca Garcia, Walter H Curioso.
Proceedings of the First IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016

Awards and Honor

Outstanding Reviewer, Elsevier Neurocomputing, 2018
NSF Student Travel Scholarship, IEEE CHASE, 2016

Professional Activities

Teaching Assistant: Software Engineering, Computing III, IV
Research Assistant: Object Detection/Classification, Medical Image Analysis, Edge Computing
Reviewer:
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
   IEEE Transactions on Image Processing (TIP)
   IEEE Signal Processing Letters (SPL)
   IEEE Transactions on Human-Machine Systems (THMS)
   IEEE Transactions on Mobile Computing (TMC)
   IEEE Access
   PlOS One
   IET Electronic Letters
   IET Image Processing
   IET Computer Vision
   IET Communications
   Neurocomputing
   International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
   IEEE Wireless Communications and Networking Conference (WCNC)
   IEEE Global Communications Conference (GLOBECOM)