Lin Yang

Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks

2018 · BMC Bioinformatics

BACKGROUND: Pathological angiogenesis has been identified in many malignancies as a potential prognostic factor and target for therapy. In most cases, angiogenic analysis is based on the measurement of microvessel density (MVD) detected by immunostaining …

Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection

2020 · ArXiv.org

In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection. Different from previous configurations, we combine audio data in two languages for training …

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis

2020 · IEEE Transactions on Computational Biology and Bioinformatics

Diagnostic pathology is the foundation and gold standard for identifying carcinomas, and the accurate quantification of pathological images can provide objective clues for pathologists to make more convincing diagnosis. Recently, the encoder-decoder architectures (EDAs) of …

Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification

2020 · arXiv (Cornell University)

In this paper, we focus on improving the performance of the text-dependent speaker verification system in the scenario of limited training data. The speaker verification system deep learning based text-dependent generally needs a large scale …

Deep Reinforcement Learning-Based Recommender Algorithm Optimization and Intelligent Systems Construction for Business Data Analysis

2022 · 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)

Business analysis plays an essential role in numerous companies and industries, which involves data collection, data analysis, and the construction of intelligent systems to make critical business decisions. By using a data model to filter …

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation

2022 · 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Although deep convolution neural networks (DC-NNs) can achieve remarkable success on medical image segmentation, their performance might significantly deteriorate when confronting testing data with the new distribution. Recent studies suggest that one major cause of …

Univariate Time Series Anomaly Detection Based on Hierarchical Attention Network

2024 · Tsinghua Science & Technology

In order to support the perception and defense of the operation risk of the medium and low voltage distribution system, it is crucial to conduct data mining on the time series generated by the system …

On the Evaluation of Large Language Models in Unit Test Generation

2024 · arXiv (Cornell University)

Unit testing is an essential activity in software development for verifying the correctness of software components. However, manually writing unit tests is challenging and time-consuming. The emergence of Large Language Models (LLMs) offers a new …

Numerical Realization of Minimum Distance Estimation for Poisson Processes

2024 · Journal of Physics Conference Series

Abstract The statistical inference for minimum distance parametric estimation has been well developed in recent years, concerning the asymptotic behaviors of the minimum L 1 -distance estimator, minimum L 2 -distance estimator and minimum Skorohod-distance …

Research on the Application of Intelligent Object Recognition System in Classroom Attendance and Student Behavior Analysis in Universities

2025 · Journal of Advanced Computational Intelligence and Intelligent Informatics

In order to better understand the overall learning status of students, evaluate classroom attendance in universities, and promote the high-quality development of higher education, analyzing student behavior in the classroom is extremely important. Existing research …