Qiang Ji is affiliated with Rensselaer Polytechnic Institute in the United States, specializing in the field of Computer Science with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, and Signal Processing. Their research also spans Radiology, Nuclear Medicine and Imaging, along with Experimental and Cognitive Psychology.
The researcher has contributed notably to topics including Face recognition and analysis, Human Pose and Action Recognition, Speech Recognition and Synthesis, Multimodal Machine Learning Applications, Bayesian Modeling and Causal Inference, Emotion and Mood Recognition, and Face and Expression Recognition.
Key recent papers authored or co-authored by Qiang Ji include:
Their notable frequent co-authors include Zijun Cui, Naiyu Yin, Yue Zhao, Wanru Xu, and Zhenjiang Miao, suggesting collaborative research efforts across different projects and topics.
Publication venues where Qiang Ji's work has frequently appeared include:
Awards earned by Qiang Ji include the IAPR P. Zamperoni Award in 2012 for work on incorporating contextual knowledge into dynamic Bayesian networks for event recognition. The same year, they were named a Fellow of the International Association for Pattern Recognition (IAPR) in recognition of contributions to face image analysis and applications.
D.W. Hansen;Qiang Ji
Qiang Ji;Zhiwei Zhu;P. Lan
Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor
Qiang Ji;Xiaojie Yang
Yongmian Zhang;Qiang Ji
Yan Tong;Wenhui Liao;Qiang Ji
Zheng Zhang;Jeffrey M. Girard;Yue Wu;Xing Zhang
Zhiwei Zhu;Qiang Ji
Jie Zou;Qiang Ji;G. Nagy
Zhiwei Zhu;Qiang Ji
Yonghong Xie;Qiang Ji
Zhiwei Zhu;Qiang Ji
Qiang Ji;P. Lan;C. Looney
Peng Wang;M.B. Green;Qiang Ji;J. Wayman
Cassio P. de Campos;Qiang Ji
Zhiwei Zhu;Kikuo Fujimura;Qiang Ji
Zhiwei Zhu;Qiang Ji;K. Fujimura;Kuangchih Lee
Yongqiang Li;Shangfei Wang;Yongping Zhao;Qiang Ji
Yue Wu;Qiang Ji
Wenhui Liao;Weihong Zhang;Zhiwei Zhu;Qiang Ji
Ziheng Wang;Shangfei Wang;Qiang Ji
Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor
If you think any of the details on this page are incorrect, let us know.
The landscape of computer science and related fields in the USA is evolving, with many students seeking flexible and affordable educational options. For those focused on costs, pursuing the cheapest master in data science programs can be a smart choice, combining quality education with budget-friendly tuition.
Online options aren’t limited to computer science alone. Exploring an online electrical engineering career outcomes can reveal a wide range of career paths, from systems design to telecommunications, making it easy to tailor your degree to your professional goals.
Looking to upskill quickly? Many students pursue easy licenses and certifications to get—giving you marketable credentials in a matter of months. These certifications can boost your resume and open doors to high-paying tech jobs.
If speed is your priority, consider enrolling in quick masters degrees online to fast-track your career. These accelerated programs are ideal for those eager to enter the workforce or shift roles without spending years in school.
Maastricht University
Louisiana State University
Baylor College of Medicine
Imperial College London
Texas A&M University
Cedars-Sinai Medical Center
Stony Brook University
Universidad de Zaragoza
Fred Hutchinson Cancer Research Center
Argonne National Laboratory
Washington State University
Rush University Medical Center
Duke University
Princess Margaret Cancer Centre
University of North Carolina at Greensboro
The University of Texas at Arlington