Fan Yang
19 papers in the PaperMetrix corpus
Papers by this author
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Design and implementation of forecast and early warning system for offshore platform based on GIS
2019 · IOP Conference Series Earth and Environmental Science
A forecast and early warning system for offshore platform was developed to reduce security risks of offshore operations. The tool uses an ArcGIS Server as electronic chart display and system platform, in combination with Silverlight, …
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The Optimal Combination Mode of Three-digit Cryptography Based on Letters and Numbers
2019
In order to better protect the file information from being leaked, the best combination mode with one-letter and two-digit passwords was discussed here. We mainly talked over the possible positions of the letters: firstly, according …
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On Metric DBSCAN with Low Doubling Dimension
2020 · arXiv (Cornell University)
The density based clustering method {\em Density-Based Spatial Clustering of Applications with Noise (DBSCAN)} is a popular method for outlier recognition and has received tremendous attention from many different areas. A major issue of the …
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Implementation of post-processing for phase-polarization combined modulation QKD system
2021 · Seventh Symposium on Novel Photoelectronic Detection Technology and Applications
According to the characteristics of the combined modulation Quantum Key Distribution (QKD) system, a postprocessing method for phase-polarization combined modulation is designed and implemented, which is consist of sifting, parameter estimation, error reconciliation and privacy …
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Improving Authorship Verification using Linguistic Divergence
2021 · arXiv (Cornell University)
We propose an unsupervised solution to the Authorship Verification task that utilizes pre-trained deep language models to compute a new metric called DV-Distance. The proposed metric is a measure of the difference between the two …
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From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
2021
Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint …
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The Case for AI Based Web3 Reputation Systems
2021
Initiatives such as blockchains and decentralized storage networks are pushing for a decentralized Web3 to replace the current architecture. At the core of Web3 are network resource sharing services, which allow anyone to sell spare …
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A Probabilistic Imaginary Time Evolution Algorithm Based on Non-unitary Quantum Circuit
2022 · arXiv (Cornell University)
Imaginary time evolution is a powerful tool applied in quantum physics, while existing classical algorithms for simulating imaginary time evolution suffer high computational complexity as the quantum systems become larger and more complex. In this …
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A Feasibility Study of Low-frequency Ultrasound Tomography for Human Thorax
2022 · 2022 IEEE International Ultrasonics Symposium (IUS)
Ultrasound is widely used in biomedical imaging. High-frequency ultrasound at MHz is usually used for good resolution. However, ultrasound at this band cannot permeate human thorax, for it is strongly scattered and reflected by air …
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Perfect splitting of a two-photon pulse
2023 · Physical Review A
We employ a cascaded system approach to numerically simulate the interaction of photon pulses with a two-level scatterer in a chiral waveguide QED setup and show that the scattering of a two-photon pulse may lead …
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CoRTX: Contrastive Framework for Real-time Explanation
2023 · arXiv (Cornell University)
Recent advancements in explainable machine learning provide effective and faithful solutions for interpreting model behaviors. However, many explanation methods encounter efficiency issues, which largely limit their deployments in practical scenarios. Real-time explainer (RTX) frameworks have …
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Robust and Communication-Efficient Federated Domain Adaptation via Random Features
2023 · arXiv (Cornell University)
Modern machine learning (ML) models have grown to a scale where training them on a single machine becomes impractical. As a result, there is a growing trend to leverage federated learning (FL) techniques to train …
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Target Recognition Analysis Based on Deep Learning
2023
With the in-depth development of big data and artificial intelligence technology, image recognition and detection technology have become an extremely important field of research in artificial intelligence technology. How to effectively identify targets in complex …
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Subtraction and Addition of Propagating Photons by Two-Level Emitters
2024 · Physical Review Letters
Coherent manipulation of quantum states of light is key to photonic quantum information processing. In this Letter, we show that a passive two-level nonlinearity suffices to implement non-Gaussian quantum operations on propagating field modes. In …
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Enhancing Explainable Rating Prediction through Annotated Macro Concepts
2024
Generating recommendation reasons for recommendation results is a long-standing problem because it is challenging to explain the underlying reasons for recommending an item based on user and item IDs.Existing models usually learn semantic embeddings for …
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies
2025 · BMC Medical Informatics and Decision Making
This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this method were also verified.Twenty …
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A Knowledge Graph Construction Method for Substation Infrared Operation and Maintenance Data Retrieval and Statistical Analysis
2024
The infrared operation and maintenance report of electrical equipment contains a large amount of equipment fault data, such as text, images and so on. However, these heterogeneous data are difficult to be analyzed and utilized …
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External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
2025 · arXiv (Cornell University)
Ads recommendation is a prominent service of online advertising systems and has been actively studied. Recent studies indicate that scaling-up and advanced design of the recommendation model can bring significant performance improvement. However, with a …
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
2020
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung …