Yan Li

High-dimensional entanglement between distant atomic-ensemble memories

2016 · Light Science & Applications

Entangled quantum states in high-dimensional space show many advantages compared with entangled states in two-dimensional space. The former enable quantum communication with higher channel capacity, enable more efficient quantum-information processing and are more feasible for …

Critical line affecting power system vulnerability under N-k contingency condition

2015 · Dianli zidonghua shebei

In order to study the critical lines leading to power system vulnerability deterioration under N- k contingency condition,a method of building the critical line model is proposed. Based on the concept of vulnerability and the …

A novel density peak based semi-supervised clustering algorithm

2016

With the rapid development of technology, acquiring and storing big data from various fields is no longer a problem. Instead, how to utilize the data becomes an important and hot research topic. Clustering is one …

A Recommendation Algorithm via Developed Random Walk Takes User's Preference and Item's Genres

2017

It is difficult to quickly find the information that users are most interested in due to the increasing number and diversity of information. The traditional random walk algorithm only considers all the users' choice of …

Study on the Construction of Newly-Built Private Undergraduate University Application-Oriented Curriculum System

2017

The application-oriented curriculum system construction is important for the newly-built private undergraduate universities to cultivate technical talents, and a scientific curriculum system is the guarantee of the quality of personnel training. This paper expounds the …

Research on the Education and Training Mode of Innovative Talents of New Engineering in Colleges and Universities

2018 · Proceedings of the 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)

With the launching of the construction plan of "new engineering", the research and discussion about new engineering in China is unprecedentedly active. And practical exploration is already on the way. This paper reviews the literature …

An Empirical Study on Influencing Factors of Online Behavior of Patients Accepting the Health Care System

2018

With the improvement of people's living standard nowadays, people's awareness of their own health and the demand for health care knowledge are also increasing. Basing on an in-depth analysis of the existing issues in the …

Simulation test on seed metering performance based on DEM

2018 · 2018 Detroit, Michigan July 29 - August 1, 2018

<b><sc>Abstract.</sc></b>In this paper, the structure and working principle of a kind of seed metering device are discussed. Based on the discrete element method, the numerical simulation of the seed metering device is carried out, and …

Design and Implementation of isually Analytic WebGISystem Based on Marine High-Definition Remote Sensing Data

2018

The Marine High-Definition Remote Sensing (MHDRS) is facing a massive increase of data stream that may result in the obstacle of the real-time processing, effective decision-making and low efficiency information collection. To address these problems, …

Research on Swarm Size of Multi-swarm Particle Swarm Optimization Algorithm

2018

Particle swarm optimization (PSO) is an algorithm widely used to solve optimization problems. Multi-swarm particle swarm optimization (MSPSO) is a form of particle swarm optimization (PSO). The swarm size of the multi-swarm particle swarm optimization …

CloudMeter: A Tool to Evaluate and Select the Desired VMs

2020

Nowadays, as more and more developers choose to deploy their work on the cloud, diverse workloads are being run in the cloud. Recognizing the diversity, cloud providers offer a rich selection of VMs with a …

Contrastive Learning for Cold-Start Recommendation

2021 · arXiv (Cornell University)

Recommending cold-start items is a long-standing and fundamental challenge in recommender systems. Without any historical interaction on cold-start items, CF scheme fails to use collaborative signals to infer user preference on these items. To solve …

Deep Learning-Based Natural Language Processing Methods for Sentiment Analysis in Social Networks

2022 · Mathematical Problems in Engineering

This paper presents an in-depth study of the sentiment of social network communication through a deep learning-based natural language processing approach and designs a corresponding model to be applied in the actual social process. Specifically, …

How to Retrain Recommender System?

2020

Practical recommender systems need be periodically retrained to refresh the model with new interaction data. To pursue high model fidelity, it is usually desirable to retrain the model on both historical and new data, since …

Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer

2022 · Human Pathology

Lymphovascular invasion, specifically lymph-blood vessel invasion (LBVI), is a risk factor for metastases in breast invasive ductal carcinoma (IDC) and is routinely screened using hematoxylin-eosin histopathological images. However, routine reports only describe whether LBVI is …

Auditable Federated Learning With Byzantine Robustness

2023 · IEEE Transactions on Computational Social Systems

Machine learning (ML) has led to disruptive innovations in many fields, such as medical diagnoses. A key enabler for ML is large training data, but existing data, such as medical data, are not fully exploited …

Applying Knowledge Graphs for Personalized Product Recommendation in E-commerce According to Consumers Interests

2024 · Research Square

<title>Abstract</title> Large-scale e-commerce platforms often encompass various recommendation scenarios to cater to the diverse needs of different consumers. In recent years, the application of knowledge graph-based multi-domain recommendation (MDR) has drawn increasing attention of researchers. …

Quantum switch for itinerant microwave single photons with superconducting quantum circuits

2024 · Physical Review Applied

A classical switch or router determines which of several inputs to the device passes through the output. In analogy, a quantum switch that coherently links the input to a superposition of several outputs plays an …

Current Situation and Countermeasures of Teaching Chinese Ancient Poetry

2024 · International Journal of Social Sciences and Public Administration

The teaching of ancient poems occupies an important position in China's education system, which inherits the excellent traditional culture of the Chinese nation. However, the current teaching of ancient poetry faces some problems, such as …

Applications of blockchain technologies in artificial electricity market settlement and clearing

2024 · International Journal of Low-Carbon Technologies

Abstract Blockchain technology is demonstrating vast potential in the realm of distributed energy transactions. This article employs the Ethereum platform to architect an energy trading settlement framework. By incorporating whitelists, authorization mechanisms, and dedicated energy …

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Contemporary recommendation systems predominantly rely on ID embedding to capture latent associations among users and items. However, this approach overlooks the wealth of semantic information embedded within textual descriptions of items, leading to suboptimal performance …

Research on the key driver analysis technology of the cost deviation of the distribution network project based on the big data statistical analysis

2025

The distribution network project has the characteristics of many voltage levels, complex network structure, diverse equipment types, wide operation points, relatively poor environmental safety and low investment density. Therefore, it is of great significance to …

Geochemical-integrated machine learning approach predicts the distribution of cadmium speciation in European and Chinese topsoils

2025 · Communications Earth & Environment

Evaluating heavy metals bioavailable is crucial for comprehensive soil contamination assessment but challenging at large scales due to complex and resource-intensive analytical procedures, and the amount of dissolved metal in soils represents the relative solubility …

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 …

Scalable low-overhead superconducting nonlocal coupler for circuit connectivity enhancement

2026 · Physical Review Applied

Quantum error correction codes with non-local connections such as quantum low-density parity-check (qLDPC) incur lower overhead and outperform surface codes on large-scale devices. These codes are not applicable on current superconducting devices with nearest-neighbor connections. …

LCO-LSHADE-GSRL: An enhanced differential evolution algorithm with chaotic orthogonal initialization and GAN-driven specular reflection learning for engineering optimization

2025 · Expert Systems with Applications

Engineering optimization problems are often nonlinear, high-dimensional, and constrained, making them challenging for conventional optimization techniques. Although L-SHADE, an adaptive differential evolution (DE) algorithm with success-history based parameter adaptation, has demonstrated competitive performance, it still …

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

2020 · arXiv (Cornell University)

Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are not well understood. Existing work that adapts GCN to recommendation lacks thorough ablation analyses on …

LightGCN

2020

Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are not well understood. Existing work that adapts GCN to recommendation lacks thorough ablation analyses on …