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  1. No Access

    Chapter and Conference Paper

    Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks

    Social networks in present-day industrial environments encompass a wide range of personal information that has significant research and application potential. One notable challenge in the domain of opinion dyn...

    Shijun Guo, Haoran Xu, Guangqiang **e, Di Wen in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Explicit Exploring Geometric Modality for Shape-Enhanced Single-View 3D Face Reconstruction

    For 3D shape inference, single-view 3D Face Reconstruction heavily relies on capturing geometric structure information from the 2D face. Most 3DMM-based approaches learn the geometry parameters directly from t...

    Shikun Zhang, Haoran Xu, Fengyi Song, Ge Song, Ming Yang in Big Data (2023)

  3. No Access

    Chapter and Conference Paper

    Research on the Differences of Job Stressors Among Construction Project Managers in China

    Construction project managers are under high level of job stress today because of the characteristics of contemporary construction projects, such as large investment, tight project schedule, high requirements ...

    Haoran Xu, Shang Zhang, Qiqing Zhong in Proceedings of the 27th International Symp… (2023)

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    Chapter and Conference Paper

    Multi-memory Enhanced Separation Network for Indoor Temperature Prediction

    Indoor temperature prediction is vital to predictive control on district heating systems. Due to the data collection in practice, there always exist residential areas with limited historical data. Transferring...

    Zhewen Duan, **uwen Yi, Peng Li, Dekang Qi in Database Systems for Advanced Applications (2022)

  5. Chapter and Conference Paper

    Preparation and Impact Resistance of Carbon Fiber Reinforced Metal Laminates Modified by Carbon Nanotubes

    Fiber reinforced metal laminates (FMLs) are a kind of interlaminar hybrid composites made of metal sheets and fibers alternately stacked and cured at a certain pressure and temperature. In this paper, through ...

    Zehui Jia, Lingwei Xu, Shuangkai Huang in Proceedings of the 8th International Confe… (2022)

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    Chapter and Conference Paper

    A Health Status Evaluation Method for Chronic Disease Patients Based on Multivariate State Estimation Technique Using Wearable Physiological Signals: A Preliminary Study

    Since chronic disease has become one of the most profound threats to human health, effective evaluation of human health and disease status is particularly important. In this study, we proposed a method based o...

    Haoran Xu, Zhicheng Yang, Ke Lan, Wei Yan in Wireless Mobile Communication and Healthca… (2022)

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    Chapter and Conference Paper

    Acid Stimulation in Single Carbonate Fractures with Heterogeneous Apertures

    The service life of geothermal wells is affected by the reservoir permeability. Acid fracturing has been utilized to improve productivity in fractured carbonate geothermal reservoirs recently. A modeling metho...

    Haoran Xu, **gru Cheng, Zhihong Zhao in Challenges and Innovations in Geomechanics (2021)

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    Chapter and Conference Paper

    Research on Ozone Prediction Based on Genetic Neural Network for Multi-city Collaboration

    Aiming at the problems of low prediction accuracy of traditional ozone prediction models, a BP neural network model based on genetic algorithm is proposed to solve the problem of single source and low accuracy...

    Haichuan Li, Haoran Xu, Qi Gao, Yaning Nie in Artificial Intelligence and Security (2020)

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    Chapter and Conference Paper

    Tree2tree Structural Language Modeling for Compiler Fuzzing

    Compiler fuzzing requires well-formed test cases. Only syntactically correct programs can pass the parsing stage of a compiler. Recently, advanced compiler fuzzers produce test cases by learning a generative l...

    Haoran Xu, Shuhui Fan, Yongjun Wang in Algorithms and Architectures for Parallel … (2020)

  10. No Access

    Chapter and Conference Paper

    Contour Based Shape Matching for Object Recognition

    To improve computational efficiency and solve the problem of low accuracy caused by geometric transformations and nonlinear deformations in the shape-based object recognition, a novel contour signature is prop...

    Haoran Xu, Jianyu Yang, Zhanpeng Shao, Yazhe Tang in Intelligent Robotics and Applications (2016)

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    Chapter and Conference Paper

    Toward Collective Privacy Using Coordinative Path Planning

    With the increasing importance of location based services in people’s daily lives, location related privacy becomes a critical issue. Most of the current solutions protect users’ privacy by cloaking users’ exa...

    Haoran Xu, Yuqing Sun in Pervasive Computing and the Networked World (2014)