The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xiaodan Liang sits on this spectrum.
This scientist: 264 publications — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xiaodan Liang sits on this spectrum.
This scientist: 81 D-Index — 93rd percentile
93% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Xiaodan Liang is affiliated with Sun Yat-sen University in China and has an extensive publication record in the field of Computer Science. Their research focuses primarily on computer vision and pattern recognition, as well as artificial intelligence. Liang's contributions span multiple subfields, including control and systems engineering, computational mechanics, and aerospace engineering.
The scientist's work covers a wide range of topics, with particular emphasis on multimodal machine learning applications, domain adaptation and few-shot learning, topic modeling, advanced neural network applications, natural language processing techniques, advanced image and video retrieval techniques, and human pose and action recognition.
Frequent coauthors collaborating with Xiaodan Liang include Liang Lin, Xiaojun Chang, Hang Xu, and Jianhua Han. These partnerships reflect consistent teamwork on many research projects.
The scientist has published extensively in several venues, frequently contributing to:
Recent published papers by Xiaodan Liang include:
Overall, Xiaodan Liang's research activity is notable for its breadth across topics in machine learning and computer vision, with a consistent presence in leading academic conferences and repositories. Their collaborations and publication venues indicate active engagement within the scientific community specializing in artificial intelligence and related areas.
Liliang Zhang;Liang Lin;Xiaodan Liang;Kaiming He
Yunchao Wei;Jiashi Feng;Xiaodan Liang;Ming-Ming Cheng
Jianan Li;Xiaodan Liang;Yunchao Wei;Tingfa Xu
Zhiting Hu;Zichao Yang;Xiaodan Liang;Ruslan Salakhutdinov
Jianan Li;Xiaodan Liang;Shengmei Shen;Tingfa Xu
Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Xiaohui Shen
Xiaopeng Yan;Ziliang Chen;Anni Xu;Xiaoxi Wang
Ke Gong;Xiaodan Liang;Dongyu Zhang;Xiaohui Shen
Xiaodan Liang;Xiaohui Shen;Jiashi Feng;Liang Lin
Bochao Wang;Huabin Zheng;Xiaodan Liang;Yimin Chen
Xiaodan Liang;Lisa Lee;Wei Dai;Eric P. Xing
Xiaodan Liang;Ke Gong;Xiaohui Shen;Liang Lin
Ke Gong;Xiaodan Liang;Yicheng Li;Yimin Chen
Michael Kampffmeyer;Yinbo Chen;Xiaodan Liang;Hao Wang
Xiangyun Zhao;Xiaodan Liang;Luoqi Liu;Teng Li
Xiaodan Liang;Chunyan Xu;Xiaohui Shen;Jianchao Yang
Xiaodan Liang;Si Liu;Xiaohui Shen;Jianchao Yang
Christy Y. Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing
Hao Zhang;Zeyu Zheng;Shizhen Xu;Wei Dai
Liang-Yan Gui;Yu-Xiong Wang;Xiaodan Liang;José M. F. Moura
Xiaodan Liang;Liang Lin;Yunchao Wei;Xiaohui Shen
Yuan Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing
If you think any of the details on this page are incorrect, let us know.
Exploring online education can open flexible and affordable pathways to a Computer Science career. For those seeking a quick transition into advanced roles, quickest masters degree online programs allow motivated students to earn their credentials in less time than traditional options.
If you want a strong return on your educational investment, consider graduate degrees in areas like Computer Science, Data Science, or Cybersecurity. These are among the graduate degrees that are worth it due to their high demand and earning potential.
For those starting their academic journey or looking to upskill quickly, 2 year online degrees offer a fast, flexible entry into tech careers or a stepping stone to further study.
Worried about costs? Many most affordable online colleges deliver high-quality Computer Science programs that fit diverse budgets, helping you reach your goals without overwhelming debt.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 34
Colorado State University
Duke University
Harvard University
Democritus University of Thrace
University of Kent
University of Amsterdam
Freie Universität Berlin
Queens College, CUNY
University of Wollongong
Schlumberger (United States)
University of Oxford
Columbia University
Harvard University
University of Oxford
University of Würzburg
La Trobe University
