Kaiqi Huang is affiliated with the Chinese Academy of Sciences in China and has published extensively in the field of computer science, with a notable focus on artificial intelligence and computer vision. Their research contributions span various subfields, including artificial intelligence, computer vision and pattern recognition, cognitive neuroscience, sociology and political science, as well as human-computer interaction.
Within their body of work, Huang has addressed topics such as reinforcement learning in robotics, advanced neural network applications, domain adaptation and few-shot learning, video surveillance and tracking methods, advanced image and video retrieval techniques, artificial intelligence in games, and multimodal machine learning applications.
Huang's recent publications include:
Huang frequently collaborates with other researchers. Frequent coauthors include Junge Zhang, Qiyue Yin, Xin Zhao, Xiaotang Chen, and Jian Jia.
The venues in which Huang often publishes reflect a diverse range of respected platforms with a strong emphasis on artificial intelligence and engineering, notably:
The primary research fields and subfields Huang engages with demonstrate a broad interdisciplinary approach underpinning their work in computer science, particularly in areas that bridge artificial intelligence and its applications.
Lianghua Huang;Xin Zhao;Kaiqi Huang
Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas
Weihua Chen;Xiaotang Chen;Jianguo Zhang;Kaiqi Huang
Dangwei Li;Xiaotang Chen;Zhang Zhang;Kaiqi Huang
Min Li;Zhaoxiang Zhang;Kaiqi Huang;Tieniu Tan
Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang
Shiqi Yu;Tieniu Tan;Kaiqi Huang;Kui Jia
Zhang Zhang;Kaiqi Huang;Tieniu Tan
Shuai Zheng;Junge Zhang;Kaiqi Huang;Ran He
Houjing Huang;Dangwei Li;Zhang Zhang;Xiaotang Chen
Dangwei Li;Xiaotang Chen;Kaiqi Huang
Huikai Wu;Shuai Zheng;Junge Zhang;Kaiqi Huang
Wenjie Yang;Houjing Huang;Zhang Zhang;Xiaotang Chen
Huikai Wu;Shuai Zheng;Junge Zhang;Kaiqi Huang
Huikai Wu;Junge Zhang;Kaiqi Huang;Kongming Liang
Lianghua Huang;Xin Zhao;Kaiqi Huang
Naiyu Gao;Yanhu Shan;Yupei Wang;Xin Zhao
Chong Wang;Weiqiang Ren;Kaiqi Huang;Tieniu Tan
Ying Wang;Kaiqi Huang;Tieniu Tan
Yanhua Cheng;Rui Cai;Zhiwei Li;Xin Zhao
Weihua Chen;Xiaotang Chen;Jianguo Zhang;Kaiqi Huang
Kai-Qi Huang;Qiao Wang;Zhen-Yang Wu
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to a variety of interconnected fields. Many students find value in broadening their education with online degrees that offer flexibility and specialized skills. For those interested in law and technology, affordable online criminal justice programs provide a strong foundation in both domains, enhancing career prospects in cybercrime and digital forensics.
Understanding finance can also complement a computer science background. Taking accounting classes online equips tech professionals with essential business and analytical skills, valuable for roles in fintech and data analysis.
For those aiming to advance in data science, consider enrolling in one of the cheapest masters in data science programs online. These programs focus on big data, machine learning, and advanced analytics—key areas in today’s job market.
Lastly, Computer Science students interested in project management or engineering may benefit from a accelerated online construction management degree. This pathway is ideal for those looking to manage technology-driven construction projects and advance quickly in their careers.
University of Cologne
University of Nebraska–Lincoln
University of Colorado Boulder
Pennsylvania State University
National Oceanic and Atmospheric Administration
Heidelberg University
CSIRO Marine and Atmospheric Research
Université Paris Cité
University of Bonn
Indiana University
Ritsumeikan University
London School of Economics and Political Science
Washington University in St. Louis
The University of Texas MD Anderson Cancer Center
Texas A&M University
Loughborough University
