Knowledge and Systems Sciences
21st International Symposium, KSS 2022, Bei**g, China, June 11–12, 2022, Proceedings
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168 Result(s)
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Jian**n Chen
Computer Science
Information Systems Applications (incl. Internet)
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Article
Open AccessExtramural ICT factors impact adolescents’ academic performance and well-being differently: Types of self-regulated learners also matter
Most studies have explored how information and communication technology (ICT) factors impact adolescents’ schooling, but often ignore the potential influences on their well-being; no research has further scrut...
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Article
User view dynamic graph-driven sequential recommendation
In most recommendation scenarios, user information is difficult to obtain due to user privacy and data protection issues. Some graph-based methods can learn the user’s feature information through the structura...
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Article
Open AccessEdge computing-based digital management system of game events in the era of Internet of Things
With the great development of Internet of Things (IoT) and edge computing, the development of sports activities depends on the development of information technology and it is inevitable to pay attention to the...
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Article
Who is gambling? Finding cryptocurrency gamblers using multi-modal retrieval methods
With the popularity of cryptocurrencies and the remarkable development of blockchain technology, decentralized applications emerged as a revolutionary force for the Internet. Meanwhile, decentralized applicati...
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Article
Investigating the impact of virtual tourism on travel intention during the post-COVID-19 era: evidence from China
This study explores the mechanism that contributes to travel intention in the field of virtual tourism. The overall research method is based on the “Stimulus-Organism-Response” theory. In the research model, t...
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Article
GAM: A GPU-Accelerated Algorithm for MaxRS Queries in Road Networks
In smart phones, vehicles and wearable devices, GPS sensors are ubiquitous and collect a lot of valuable spatial data from the real world. Given a set of weighted points and a rectangle r in the space, a maximizi...
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Article
DSIM: dynamic and static interest mining for sequential recommendation
Sequential recommendation aims to predict the next interaction by mining users’ evolving interest from their historical behaviors. Through comprehensive study, we argue that the evolving interest consists of d...
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Book and Conference Proceedings
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Chapter and Conference Paper
FalCon: A Faithful Contrastive Framework for Response Generation in TableQA Systems
In a practical TableQA system, response generation is a critical module to generate a natural language description of the SQL and the execution result. Due to the complex syntax of SQL and matching issues with...
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Chapter and Conference Paper
A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention
YOLO series are very classic detection frameworks in the field of object detection, and they have achieved remarkable results on general datasets. Among them, YOLOv5, as a single-stage multi-scale detector, ha...
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Chapter and Conference Paper
Sound Pressure Field Reconstruction for Ultrasound Phased Array by Linear Synthesis Scheme Optimization
Ultrasound phased array is a device that is usually used to provide mid air tactile sensations like three-dimensional shape haptics images by generating various specific sound fields. Forming foci for the ultr...
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Chapter and Conference Paper
An Image-Enhanced Topic Modeling Method for Neuroimaging Literature
Topic modeling based on neuroimaging literature is an important approach to aggregate world-wide research findings for decoding brain cognitive mechanism, as well as diagnosis and treatment of brain and mental...
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Chapter and Conference Paper
A Novel Deep Reinforcement Learning Framework for Stock Portfolio Optimization
Deep reinforcement learning (DRL) is a recently concerned research field for stock portfolio optimization. The existing solutions face various challenge. In this paper, we propose a DRL framework to the stock ...
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Chapter and Conference Paper
Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications
Exploring information processing mechanisms in the human brain is of significant importance to the development of artificial intelligence and translational study. In particular, essential functions of the brai...
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Chapter and Conference Paper
Modeling Inter-aspect Relationship with Conjunction for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis is currently a main focus within the domain of sentiment analysis, whose target is to identify the sentiment polarities of specific aspect terms. The ongoing research is absent ...
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Article
A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and Web farming mode of Web intelligence
Web farming can advance computational social science into a never-end learning process, in which social phenomena are dynamically and scientifically understood based on continuously produced, updated and expir...
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Chapter and Conference Paper
Two-Level Convolutional Neural Network for Aspect Extraction
Extract product aspect is an important task in fine-grained sentiment analysis. Though many models have been proposed to solve the problem. They either use handcrafted features or complex neural network archit...
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Chapter and Conference Paper
An Experience Report for Running an REU Program in an iSchool
In this article, we report on our experiences and lessons learned from training undergraduate students in data science research in an iSchool, comparing this program to the experience of running a similar prog...
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Chapter and Conference Paper
A Secure Topology Control Mechanism for SDWSNs Using Identity-Based Cryptography
As one of the most critical procedures of Software-Defined Wireless Sensor Networks (SDWSNs), topology control is used to maintain the global view of the network. However, the security issues of SDWSNs are sti...
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Chapter and Conference Paper
Impact of Multiple Reflections on Secrecy Capacity of Indoor VLC System
While visible light communication (VLC) is expected to have a wide range of applications in the near future, the security vulnerabilities of this technology have not been well understood so far. In particular...
