Ying Li

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, …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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, …

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, …

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, …

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 …

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 …

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 …

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 …

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 …

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 …