No photo of Jia Li
Contact Expert

View Scopus Profile

Jia Li

    • 14034 Citations
    • 36 h-Index
    19972019
    If you made any changes in Pure, your changes will be visible here soon.

    Fingerprint Dive into the research topics where Jia Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    • 3 Similar Profiles
    Hidden Markov models Engineering & Materials Science
    Image retrieval Engineering & Materials Science
    Image classification Engineering & Materials Science
    Semantics Engineering & Materials Science
    Painting Engineering & Materials Science
    Vector quantization Engineering & Materials Science
    Clustering Mathematics
    Linguistics Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 1997 2019

    ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

    Luo, Y., Ye, J., Adams, Jr., R., Li, J., Newman, M. G. & Wang, J. Z., Jan 1 2019, (Accepted/In press) In : International Journal of Computer Vision.

    Research output: Contribution to journal › Article

    Robots
    Information science
    Computer science
    Statistical methods
    Robotics

    Detecting Comma-Shaped Clouds for Severe Weather Forecasting Using Shape and Motion

    Zheng, X., Ye, J., Chen, Y., Wistar, S., Li, J., Piedra Fernández, J. A., Steinberg, M. A. & Wang, J. Z., Jun 1 2019, In : IEEE Transactions on Geoscience and Remote Sensing. 57, 6, p. 3788-3801 14 p., 8606456.

    Research output: Contribution to journal › Article

    Weather forecasting
    severe weather
    weather forecasting
    Satellites
    sliding

    Optimal transport, mean partition, and uncertainty assessment in cluster analysis

    Li, J., Seo, B. & Lin, L., Jan 1 2019, In : Statistical Analysis and Data Mining.

    Research output: Contribution to journal › Article

    Optimal Transport
    Cluster analysis
    Cluster Analysis
    Agglomeration
    Partition
    2 Citations (Scopus)

    Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data

    Ye, J., Li, J., Newman, M. G., Adams, Jr., R. & Wang, J., Jan 1 2019, In : IEEE Transactions on Affective Computing. 10, 1, p. 115-128 14 p., 7872458.

    Research output: Contribution to journal › Article

    Labels
    Experiments
    Concretes
    Testing
    Statistical Models

    Advancing science and technology with big data analytics

    Li, J., Jun 1 2018, In : Statistical Analysis and Data Mining. 11, 3, 1 p.

    Research output: Contribution to journal › Editorial

    Big data