Chengjun Liu

Professor, Computer Science
Chengjun Liu received his Ph.D. from George Mason University in 1999, and he is presently a Professor of Computer Science at New Jersey Institute of Technology.
Ph.D.; George Mason University; 1999
M.S.; Harbin Institute of Technology; 1993
B.S.; Harbin Institute of Technology; 1990
CS 701B - MASTER'S THESIS
CS 670 - ARTIFICIAL INTELLIGENCE
CS 792 - PRE-DOCTORAL RESEARCH
CS 790A - DOCT DISSERTATION & RES
CS 488 - INDEPENDENT STUDY IN CS
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 726 - INDEPENDENT STUDY II
Computer Vision
Pattern Recognition and Applications
Face Recognition and Video Processing
Image Processing
Artificial Intelligence
Computer Programming and Problem Solving
CS 101: COMP PROG & PROB SOLVING
CS 370: INTRO TO ARTIFCL INTELLGNCE
CS 370: INTRO TO ARTIFICIAL INTELLIGENC
CS 370: INTRODUCTION TO ARTIFICIAL INTELLIGENCE
CS 670: ARTIFICIAL INTELLIGENCE
CS 780: COMPUTER VISION
CS 782: PATTERN RECOGNITION & APPLICATN
CS 782: PATTERN RECOGNTN & APPLCTNS
Video Analytics,
Pattern Recognition (Face/Iris Recognition),
Machine Learning (Statistical Learning, Kernel Methods, Similarity Measures),
Computer Vision (Object/Face Detection, Video Processing),
Security (Biometrics),
Image Processing (New Color Spaces, Gabor Image Representation)
"Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter"
IEEE the 11th International Conference on Big Data Computing Service and Machine Learning Applications, July (3rd Quarter/Summer), 2025.
"Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity"
IEEE the 17th International Conference on Computer Research and Development, January (1st Quarter/Winter), 2025.
"Increasing Rosacea Awareness Among Population Using Deep Learning and Statistical Approaches"
The 5th International Conference on Medical Imaging and Computer-Aided Diagnosis, November, 2024.
"Federated Learning Aided Deep Convolutional Neural Network Solution for Smart Traffic Management"
2023.
"Ammunition Component Classification Using Deep Learning"
the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA., July (3rd Quarter/Summer), 2022.
"Traffic Surveillance Video Analytics: A Concise Survey"
the 18th International Conference on Machine Learning and Data Mining, MLDM 2022, July 16-21, 2022, New York, USA., July (3rd Quarter/Summer), 2022.
Hadi Ghahremannezhad, Hang Shi, Chengjun Liu. 2023. "Object Detection in Traffic Videos: A Survey." IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 7, pp. 6780-6799.
Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef. 2021. "Smart traffic monitoring system using computer vision and edge computing." IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 12027--12038.
Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef. 2021. "Smart Traffic Monitoring System Using Computer Vision and Edge Computing." IEEE Transactions on Intelligent Transportation Systems.
Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef. 2021. "Smart Traffic Monitoring System using Computer Vision and Edge Computing." IEEE Transactions on Intelligent Transportation Systems.
Hang Shi, Chengjun Liu. 2020. "A New Cast Shadow Detection Method for Traffic Surveillance Video Analysis Using Color and Statistical Modeling." Image and Vision Computing, 94, 103863, 2020. Elsevier..
Q. Liu, Chengjun Liu. 2017. "A Novel Locally Linear KNN Method with Application to Visual Recognition." IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 9, pp. 2010-2021.
Hadi Ghahremannezhad, Chengjun Liu, Hang Shi. "Intelligent Traffic Video Analytics." In E. El-Alfy, G. Bebis, M. Zhou, eds., "Intelligent Image and Video Analytics: Clustering and Classification Applications," pp. 44. CRC Press, 2023.
S. Chen, Chengjun Liu. "A New Efficient SVM (eSVM) with Applications to Accurate and Efficient Eye Search in Images." In C. Liu, eds., pp. 115-144. Springer, 2017.
Q. Liu, Y. Lavinia, A. Verma, J. Lee, L. Spasovic, Chengjun Liu. "Feature Representation and Extraction for Image Search and Video Retrieval." In C. Liu, eds., pp. 1-19. Springer, 2017.
Q. Liu, Chengjun Liu. "Improved Soft Assignment Coding for Image Classification." In C. Liu, eds., pp. 45-63. Springer, 2017.
Q. Liu, Chengjun Liu. "Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification." In C. Liu, eds., pp. 65-89. Springer, 2017.
A. Puthenputhussery, S. Chen, J. Lee, L. Spasovic, Chengjun Liu. "Learning and Recognition Methods for Image Search and Video Retrieval." In C. Liu, eds., pp. 21-43. Springer, 2017.
Chengjun Liu. "Recent Advances in Intelligent Image Search and Video Retrieval." 235 pp. Springer, 2017. ISBN 978-3-319-52081-3.