Ying Li
17 papers in the PaperMetrix corpus
Papers by this author
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Exploration on the course construction of ocean optics
2017 · 14th Conference on Education and Training in Optics and Photonics: ETOP 2017
Ocean optics discusses the light transmission in seawater, which is a specialty course combining optics and ocean study, and the core course of relevant professional directions. This paper introduces its learning goal and contents. Meanwhile, …
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A multi-factor influencing POI recommendation model based on matrix factorization
2018
How to make recommendation for personalized users by using the available sparse data is a hot research topic in the area of big data and has wide application prospects. In this work, we investigate the …
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NOx Prediction Method Based on Deep Extreme Learning Machine
2018
Real-time prediction of NOx is important for the control of NOx emission from a coal-fired power plant. This paper presents a NOx prediction method based on deep extreme learning machine. First, an improved deep extreme …
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A Text Classification Model Base On Region Embedding AND LSTM
2020
In the field of natural language processing, recurrent neural networks are good at capturing long-range dependent information and can effectively complete text classification tasks. However, Recurrent neural network is model the entire sentence in the …
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An approach for constructing expert yellow pages for community question answering sites
2021 · Expert Systems
Abstract The rapid increase in the number of community‐based question‐and‐answer services is attracting many users. Questions are posted and answered by community members. These users, who can help other users answer questions, can be considered …
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Research on trajectory tracking control of mechanical motion based on convolution neural network
2021
In order to better improve the effect of mechanical motion trajectory tracking control and ensure the quality and safety of mechanical operation, a mechanical motion trajectory tracking control method based on convolution neural network is …
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KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding
2022 · Findings of the Association for Computational Linguistics: ACL 2022
Knowledge-enhanced methods have bridged the gap between human beings and machines in generating dialogue responses. However, most previous works solely seek knowledge from a single source, and thus they often fail to obtain available knowledge …
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Investigation of an Outcomes-Driven Assessment model in Programming Course
2022 · 2022 IEEE Frontiers in Education Conference (FIE)
Course assessment is an important quantitative evaluation for students' learning effect in certifying engineering educations. In this paper, the achievement degree based on learning outcomes is used as the basic indicator to construct a program …
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Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis
2022
Understanding the microarchitectural resource characteristics of datacenter jobs has become increasingly critical to guarantee the performance of jobs while improving resource utilization. Prior work studied the resource characteristics of datacenter jobs at the OS level, …
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A New Safe-Level Enabled Borderline-SMOTE for Condition Recognition of Imbalanced Dataset
2023 · IEEE Transactions on Instrumentation and Measurement
Machine learning-based classification strategy has been successfully applied in actual industrial monitoring but it is often hindered when the data set is imbalanced. Technically, the misclassification phenomenon, as a serious performance degradation of generalisation ability, …
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Data Interoperating Architecture (DIA): Decoupling Data and Applications to Give Back Your Data Ownership
2023
Data has become a valuable resource that drives new business models and creates enormous business value. However, under the current data ownership model, many data-driven applications arbitrarily collect and overuse user data for commercial purposes, …
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Chinese Lexical Substitution: Dataset and Method
2023
Existing lexical substitution (LS) benchmarks were collected by asking human annotators to think of substitutes from memory, resulting in benchmarks with limited coverage and relatively small scales. To overcome this problem, we propose a novel …
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CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models
2024
Code generation models based on the pre-training and fine-tuning paradigm have been increasingly attempted by both academia and industry, resulting in well-known industrial models such as Codex, CodeGen, and PanGu-Coder. To evaluate the effectiveness of …
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Resource-efficient quantum-classical hybrid algorithm for energy gap evaluation
2024 · Physical Review A
Estimating the eigenvalue or energy gap of a Hamiltonian $H$ is vital for studying quantum many-body systems. Particularly, many of the problems in quantum chemistry, condensed-matter physics, and nuclear physics investigate the energy gap between …
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A Multi-Dimensional Aggregation Network Guided by Key Features for Plaque Echo Classification Based on Carotid Ultrasound Video
2024 · IRBM
Unstable plaques can cause acute cardiovascular and cerebrovascular diseases. The stability and instability of plaque are related to the plaque echo status in ultrasound. Carotid videos provide detailed plaque information compared to static images. Ultrasound-based …
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Design of distributed data collection system based on private cloud
2024
With the development of digitalization, information and intelligence, data has become an important part of modern society. The distributed data collection system based on private cloud uses the resource sharing characteristics of cloud platform to …
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Federated Domain Generalization: A Survey
2025 · Proceedings of the IEEE
Machine learning (ML) typically relies on the assumption that training and testing distributions are identical and that data are centrally stored for training and testing. However, in real-world scenarios, distributions may differ significantly, and data …