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  1. No Access

    Chapter and Conference Paper

    L2R-QA: An Open-Domain Question Answering Framework

    Open-domain question answering has always being a challenging task. It involves information retrieval, natural language processing, machine learning, and so on. In this work, we try to explore some comparable ...

    Tieke He, Yu Li, Zhipeng Zou, Qing Wu in Intelligence Science and Big Data Engineer… (2019)

  2. No Access

    Chapter and Conference Paper

    An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification

    In classification tasks, deep learning methods yield high performance. However, owing to lack of enough annotated data, deep learning methods often underperformed. Therefore, we propose an advance version of l...

    Yu Li, Zhonggeng Liu, Huadong Pan, Jun Yin in Intelligence Science and Big Data Engineer… (2019)

  3. No Access

    Chapter and Conference Paper

    Data Augmentation for Deep Learning of Judgment Documents

    With the increasing number of machine learning parameters, the requirements on data quantity are getting higher and higher to train a good model. The choice of methods and the optimization of parameters can im...

    Ge Yan, Yu Li, Shu Zhang, Zhenyu Chen in Intelligence Science and Big Data Engineer… (2019)

  4. No Access

    Chapter and Conference Paper

    Using Case Facts to Predict Penalty with Deep Learning

    With the promotion of Wisdom Court construction and the increasing completeness of judicial big data, the combination of judicial and artificial intelligence attracted more and more attention. The Judicial doc...

    Yu Li, Tieke He, Ge Yan, Shu Zhang, Hui Wang in Data Science (2019)

  5. No Access

    Chapter and Conference Paper

    Adaptive Flower Pollination Algorithm Based on Chaotic Map

    Flower pollination algorithm (FPA) is one of the well-known evolutionary techniques used extensively to solve optimization problems. Despite its efficiency and wide use, the identical search behaviors may lead...

    Yu Li, Juan Zheng, Yi-ran Zhao in Data Science (2019)