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  1. No Access

    Chapter and Conference Paper

    Learned Pseudo-Random Number Generator Based on Generative Adversarial Networks

    Pseudorandom number generators (PRNGs) are fundamental components of modern cryptography and information security. Due to the inherent complexity and unpredictability of neural networks, they have become an at...

    Xuguang Wu, Yiliang Han, Shuaishuai Zhu, Yu Li, Su Cui in Frontiers in Cyber Security (2024)

  2. No Access

    Chapter and Conference Paper

    Tiny-YOLOv7: Tiny Object Detection Model for Drone Imagery

    With the rapid development of drones, tiny object detection in drone-captured scenarios has become a challenge task. However, the altitude of the drone changes while flying lead to the scale of the object chan...

    Pengchao Cheng, Xu Tang, Wenqi Liang, Yu Li, Wei Cong, Chuanzhi Zang in Image and Graphics (2023)

  3. No Access

    Chapter and Conference Paper

    User Adaptive Language Learning Chatbots with a Curriculum

    Along with the development of systems for natural language understanding and generation, dialog systems have been widely adopted for language learning and practicing. Many current educational dialog systems p...

    Kun Qian, Ryan Shea, Yu Li in Artificial Intelligence in Education. Post… (2023)

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    Chapter and Conference Paper

    Univariate Time Series Forecasting via Interactive Learning

    For time series forecasting tasks, it is necessary to capture the temporal dependencies from observed variables. Although many deep learning models have gained good performance, they still lack an effective mo...

    Yu Li, Haonan Li, Peng Wang, Xu Cui in Knowledge Science, Engineering and Managem… (2023)

  5. No Access

    Chapter and Conference Paper

    Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family

    ChatGPT is a powerful large language model (LLM) that covers knowledge resources such as Wikipedia and supports natural language question answering using its own knowledge. Therefore, there is growing interest...

    Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu in The Semantic Web – ISWC 2023 (2023)

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    Chapter and Conference Paper

    GRU-Attention Interpretable Knowledge Tracking Model with Forgetting Law for Intelligent Education System

    The advent of intelligent education systems and widespread distance learning have revolutionized the educational landscape. Extracting meaningful insights from this wealth of information is crucial for improvi...

    Haonan Li, Yu Li, Zhenguo Zhang in Artificial Intelligence Logic and Applications (2023)

  7. No Access

    Chapter and Conference Paper

    Quantifying Occupant Behavior Uncertainty in Spatio-Temporal Visual Comfort Assessment of National Fitness Halls: A Machine Learning-Based Co-simulation Framework

    Occupant behavior has been recognized as the main factor influencing visual comfort gaps between simulated and actual conditions. However, existing daylight and glare simulation methods mostly fail to deal wit...

    Yu Li, Lingling Li, Pengyuan Shen, Xue Cui in Computer-Aided Architectural Design. INTER… (2023)

  8. No Access

    Chapter and Conference Paper

    A Novel Dual-Modal Biometric Recognition Method Based on Weighted Joint Group Sparse Representation Classification

    Multi-modal biometric recognition technology is an effective method to improve the accuracy and reliability of identity recognition. However, there are some problems (such as feature space incompatibility) wit...

    Chunxin Fang, Hui Ma, Yu Li in Biometric Recognition (2022)

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    Chapter and Conference Paper

    A Finger Bimodal Fusion Algorithm Based on Improved Densenet

    Compared with single-mode biometric recognition, multimodal biometric recognition has been widely used because of its high security and high accuracy. Among them, finger based multimodal biometric recognition ...

    Wenhao Lv, Hui Ma, Yu Li in Biometric Recognition (2022)

  10. No Access

    Chapter and Conference Paper

    Medical Image Segmentation Using Transformer

    For the past few years, the U-Net structure shows strong performance in the field of medical image segmentation. However, due to the inherent locality of convolution operations, U-shaped structures are often l...

    Qian Wang, Longyan Li, Bo Ni, Yu Li, De** Kong in Artificial Intelligence in China (2022)

  11. No Access

    Chapter and Conference Paper

    Self-paced Safe Co-training for Regression

    In semi-supervised learning, co-training is successfully in augmenting the training data with predicted pseudo-labels. With two independently trained regressors, a co-trainer iteratively exchanges their select...

    Fan Min, Yu Li, Liyan Liu in Advances in Knowledge Discovery and Data Mining (2022)

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    Chapter and Conference Paper

    Decentralized Predictive Enterprise Resource Planning Framework on Private Blockchain Networks Using Neural Networks

    Theoretically, cross-department predictive modeling can improve the operational efficiency of an enterprise, particularly on enterprise resource planning. For example, a model that predicts the volume of purch...

    Zhijie Wu, Yangjie Qin, Yu Li, Bo Cheng in Computer Supported Cooperative Work and So… (2022)

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    Chapter and Conference Paper

    CLMB: Deep Contrastive Learning for Robust Metagenomic Binning

    The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial functional roles. To achieve that, we...

    Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang in Research in Computational Molecular Biology (2022)

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    Chapter and Conference Paper

    Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing

    Aiming at the problems that the traditional method has long response time to communication network congestion monitoring and the detection effect is not ideal, a real-time monitoring method based on cloud comp...

    Wei-yan Li, Kui Gao, Yu Li, Pei-ying Wang in Advanced Hybrid Information Processing (2021)

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    Chapter and Conference Paper

    Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction

    During infancy, the human brain develops rapidly in terms of structure, function and cognition. The tight connection between cognitive skills and brain morphology motivates us to focus on individual level cogn...

    Yu Li, Jiale Cheng, **n Zhang, Ruiyan Fang in Machine Learning in Medical Imaging (2021)

  16. No Access

    Chapter and Conference Paper

    Research on Chinese Word Segmentation Based on Conditional Random Fields

    Word segmentation is the first step in Chinese natural language processing. The accuracy of segmentation has substantial impacts on subsequent tasks such as part-of-speech tagging, semantic analysis, etc. This...

    Chao Fan, Yu Li in Intelligent Computing Theories and Application (2021)

  17. No Access

    Chapter and Conference Paper

    A CNN-Based Method for Depression Detecting Form Audio

    Depression, a major mental illness, has widely affected lives all over the world. Being depressed not only affects patients’ mood, but also has a negative impact on patients’ physical and mental health. It may...

    Shuangshuang Zhao, Qingqing Li, Chenbin Li, Yu Li in Digital Health and Medical Analytics (2021)

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    Chapter and Conference Paper

    Chinese Word Sense Disambiguation Based on Classification

    Word sense disambiguation (WSD) is a well-known task in the field of natural language processing. It attempts to determine a meaning of a word that has a couple of senses. This paper studies the Chinese word s...

    Chao Fan, Yu Li in Intelligent Computing Theories and Application (2021)

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    Chapter and Conference Paper

    Personal Name Disambiguation for Chinese Documents in Online Medium

    Disambiguating various people that share the same name is a critical issue for analyzing contents in online medium. This paper develops a framework for dealing with personal names in Chinese dataset. Web pages...

    Chao Fan, Yu Li in Multimedia Technology and Enhanced Learning (2021)

  20. No Access

    Chapter and Conference Paper

    Research on the Authorship of Dream of the Red Chamber Based on Link Prediction

    Dream of the Red Chamber (DRC), written in Qing dynasty, is a prestigious classical novel in Chinese literature. There exists a disputation over the authorship of DRC for the last 40 chapters. This research ma...

    Chao Fan, Yu Li in Intelligent Computing Theories and Application (2021)

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