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Hong Wang

7 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Ultra-short-term PV Power Forecasting Based on Cloud Image Modeling

    2021 · Journal of Physics Conference Series

    Abstract Due to the impact of many local sudden changes in photovoltaic (PV) output power, its ultra-short-term forecasting is facing great challenges. In a time scale of 1 to 2 minutes, the generation, movement, and …

  2. Simplified bacterial foraging optimization with quorum sensing for global optimization

    2021 · International Journal of Intelligent Systems

    Bacterial foraging optimization (BFO) has been exploited for function optimization, owing to its innovative ideas gleaned from the microbiological system. This paper first discusses its three crucial limitations: high computational cost, difficulty in parameter settings, …

  3. Real-Time Source-Independent Quantum Random Number Generator Based on a Cloud Superconducting Quantum Computer

    2021 · Research Square

    Abstract Quantum random number generator (QRNG) relies on the intrinsic randomness of quantum mechanics to produce true random numbers which are important in information processing tasks. Due to the presence of the superposition state, quantum …

  4. Using Variational Quantum Algorithm to Solve the LWE Problem

    2022 · Entropy

    The variational quantum algorithm (VQA) is a hybrid classical-quantum algorithm. It can actually run in an intermediate-scale quantum device where the number of available qubits is too limited to perform quantum error correction, so it …

  5. Low-Depth Flagged Syndrome Extraction for Calderbank-Shor-Steane Codes of Distance 3

    2024 · IEEE Transactions on Information Theory

    In this work, we present a low-depth flagged syndrome extraction strategy for Calderbank-Shor-Steane (CSS) codes of distance 3. We demonstrate that if one stabilizer generator of a distance-3 CSS code measured using the flagged circuit …

  6. PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation

    2024 · arXiv (Cornell University)

    Early detection through imaging and accurate diagnosis is crucial in mitigating the high mortality rate associated with breast cancer. However, locating tumors from low-resolution and high-noise medical images is extremely challenging. Therefore, this paper proposes …

  7. Fine-tune Bert for DocRED with Two-step Process

    2019 · arXiv (Cornell University)

    Modelling relations between multiple entities has attracted increasing attention recently, and a new dataset called DocRED has been collected in order to accelerate the research on the document-level relation extraction. Current baselines for this task …