179 Result(s)
within
Ying**g Zhang
Computer Science
Information Systems Applications (incl. Internet)
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Article
Multi-representation web service recommendation system based on attention mechanism
Recently, mashup developers seek to integrate multiple services with complementary functionalities from a large amount of web services. With so many available web services, it is difficult for developers to ch...
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Article
Rumor blocking with pertinence set in large graphs
Online social networks facilitate the spread of information, while rumors can also propagate widely and fast, which may mislead some users. Therefore, suppressing the spread of rumors has become a daunting tas...
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Article
Open AccessFPGN: follower prediction framework for infectious disease prevention
In recent years, how to prevent the widespread transmission of infectious diseases in communities has been a research hot spot. Tracing close contact with infected individuals is one of the most severe problem...
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Article
Cardinality estimation with smoothing autoregressive models
Cardinality estimation, which aims at accurately estimating the result size of queries, is a fundamental task in database query processing and optimization. One of the most recent and effective solutions to th...
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Article
Cutting-edge approaches and innovations in sports rehabilitation training: Effectiveness of new technology
Research objectives: specify the framework of using cutting-edge approaches and innovations in the training of rehabilitation physicians; investigate existing innovative technologies; get an insight into the m...
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Article
Teachers as makers: How K-12 teachers design 3D making lessons for classroom teaching
As part of the maker movement, 3D printing technology has received considerable attention in education. Although this technology has become increasingly available in schools, K-12 teachers often struggle with ...
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Article
Parallel Software-Based Self-Testing with Bounded Model Checking for Kilo-Core Networks-on-Chip
Online testing is critical to ensuring reliable operations of the next generation of supercomputers based on a kilo-core network-on-chip (NoC) interconnection fabric. We present a parallel software-based self-...
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Article
Combining latent profile analysis and programming traces to understand novices’ differences in debugging
It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowled...
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Chapter and Conference Paper
Evaluation of Deep Reinforcement Learning Based Stock Trading
Stock is one of the most important targets in investment. However, it is challenging to manually design a profitable strategy in the highly dynamic and complex stock market. Modern portfolio management usually...
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Chapter and Conference Paper
An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
Object detection with high accuracy and fast inference speed based on camera sensors is important for autonomous driving. This paper develops a lightweight object detection network based on YOLOv5s which is on...
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Chapter and Conference Paper
Cross-Lingual Product Retrieval in E-Commerce Search
Cross-lingual product retrieval (CLPR) recalls semantically relevant products that match multilingual search queries. It plays a crucial role in E-commerce sites to serve cross-border customers. However, there...
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Chapter and Conference Paper
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce
Product titles play an important role in E-Commerce sites. However, manually crafting product titles needs tremendous time and human effort. It is expected that product titles can be automatically generated, b...
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Chapter and Conference Paper
A Comparative Study on Map** Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology
Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the user experience of its users. This paper is based on the text...
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Chapter and Conference Paper
Squeeze-Loss: A Utility-Free Defense Against Membership Inference Attacks
Membership inference attacks can infer whether a data sample exists in the training set of the target model based on limited adversary knowledge, which results in serious leakage of privacy. A large number of ...
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Chapter and Conference Paper
MCSN: Multi-graph Collaborative Semantic Network for Chinese NER
Named Entity Recognition (NER) is not only one of the most important directions in Natural Language Processing (NLP), but also plays an essential pre-processing role in many downstream NLP tasks. In recent yea...
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Chapter and Conference Paper
Secure Asynchronous Federated Learning for Edge Computing Devices
Federated learning (FL) solves the problem of isolated data islands and improves machine learning models by training on large amounts of data collected from multiple parties. However, the traditional synchrono...
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Chapter and Conference Paper
Research on the Design of Children’s Sensory Integration Training Product Based on Dalcroze Method
According to scientific research, 3–6 years old is a critical period for children’s sensory integration training, and proper training can be used to improve sensory integration ability. This study takes childr...
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Chapter and Conference Paper
CRNet: Modeling Concurrent Events over Temporal Knowledge Graph
Temporal knowledge graph (TKG) reasoning, which aims to extrapolate missing facts in TKGs, is vital for many significant applications, such as event prediction. Previous studies have attempted to equip entitie...
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Article
Discovering fortress-like cohesive subgraphs
Morris (Rev Econ Stud 67:57–78, 2000) defines the \(p\) p -cohesion by a con...
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Article
Binarized graph neural network
Recently, there have been some breakthroughs in graph analysis by applying the graph neural networks (GNNs) following a neighborhood aggregation scheme, which demonstrate outstanding performance in many tasks....
