Search Results - "Huang, Changqin"

Personalized learning full-path recommendation model based on LSTM neural networks by Zhou, Yuwen, Huang, Changqin, Hu, Qintai, Zhu, Jia, Tang, Yong

“…Discovering useful hidden patterns from learner data for online learning systems is valuable in education technology. Studies on personalized learning…”
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Systematic literature review of machine learning based software development effort estimation models by Wen, Jianfeng, Li, Shixian, Lin, Zhiyong, Hu, Yong, Huang, Changqin

“…Software development effort estimation (SDEE) is the process of predicting the effort required to develop a software system. In order to improve estimation…”
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A parallel joint optimized relay selection protocol for wake-up radio enabled WSNs by Huang, Changqin, Huang, Guosheng, Liu, Wei, Wang, Ruoyu, Xie, Mande

“…Conflicts in the data transmission lead to a serious waste of energy, so it is pivotal to design a parallel and less conflict communication protocol for…”
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Longitudinal exploration of online learning burnout: the role of social support and cognitive engagement by Huang, Changqin, Tu, Yaxin, He, Tao, Han, Zhongmei, Wu, Xuemei

“…Students always suffer from burnout during online learning. Although social support and cognitive engagement are associated with learning burnout, limited…”
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Exploring the Relationships between Achievement Goals, Community Identification and Online Collaborative Reflection: A Deep Learning and Bayesian Approach by Huang, Changqin, Wu, Xuemei, Wang, Xizhe, He, Tao, Jiang, Fan, Yu, Jianhui

“…Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect…”
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Text-centered cross-sample fusion network for multimodal sentiment analysis by Huang, Qionghao, Chen, Jili, Huang, Changqin, Huang, Xiaodi, Wang, Yi

“…Significant advancements in multimodal sentiment analysis tasks have been achieved through cross-modal attention mechanisms (CMA). However, the importance of…”
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AdaMoW: Multimodal Sentiment Analysis Based on Adaptive Modality-Specific Weight Fusion Network by Zhang, Junling, Wu, Xuemei, Huang, Changqin

“…Multimodal sentiment analysis (MSA) is a crucial task in the field of natural language processing (NLP), with a wide range of applications. This paper proposes…”
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Adaptive Information Dissemination Control to Provide Diffdelay for the Internet of Things by Liu, Xiao, Liu, Anfeng, Huang, Changqin

“…Applications running on the Internet of Things, such as the Wireless Sensor and Actuator Networks (WSANs) platform, generally have different quality of service…”
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Implementing a Social Presence-Based Teaching Strategy in Online Lecture Learning by Xia, Liangliang, Wang, Lianghui, Huang, Changqin

“…Previous studies have focused on the design of video lectures to improve students' social presence by enhancing instructor presence for learners in…”
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Multi-modal multi-concept-based deep neural network for automatic image annotation by Xu, Haijiao, Huang, Changqin, Huang, Xiaodi, Huang, Muxiong

“…Automatic Image Annotation (AIA) remains as a challenge in computer vision with real-world applications, due to the semantic gap between high-level semantic…”
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A Similarity Scenario-Based Recommendation Model With Small Disturbances for Unknown Items in Social Networks by Li, Ting, Liu, Anfeng, Huang, Changqin

“…In existing recommendation systems, there exist the issues of "cold start" and "excessively mature recommendation," which cause the recommendation systems to…”
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Social-Aware Data Collection Scheme Through Opportunistic Communication in Vehicular Mobile Networks by Tang, Zhipeng, Liu, Anfeng, Huang, Changqin

“…To enable the intelligent management of Smart City and improve overall social welfare, it is desirable for the status of infrastructures detected and reported…”
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Hope: heatmap and offset for pose estimation by Xiao, Jing, Li, Haichao, Qu, Guangzhuo, Fujita, Hamido, Cao, Yang, Zhu, Jia, Huang, Changqin

“…The progress on human pose estimation by deep neural networks has been significantly advanced in recent years. However, the problem of precision loss caused by…”
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A Trust With Abstract Information Verified Routing Scheme for Cyber-Physical Network by Liu, Xiao, Xiong, Naixue, Zhang, Ning, Liu, Anfeng, Shen, Hailan, Huang, Changqin

“…Cyber-physical network (CPN) as well as cyber-physical social computing and networking (CPSCN), as the next generation of computing and networking, utilize a…”
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On Selecting Vehicles as Recommenders for Vehicular Social Networks by Li, Ting, Zhao, Ming, Liu, Anfeng, Huang, Changqin

“…Vehicular social networks, as one type of new future networks, integrate mobile wireless communications and social networks together, and they have attracted a…”
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Construction of Large-Scale Low-Cost Delivery Infrastructure Using Vehicular Networks by Xiao Liu, Yuxin Liu, Xiong, Neal N., Ning Zhang, Anfeng Liu, Hailan Shen, Changqin Huang

“…Vehicular ad-hoc networks, as one of the major components of Internet of Things in smart cities, have enormous idle transportation capability due to the huge…”
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Intelligent Aggregation Based on Content Routing Scheme for Cloud Computing by Xu, Jiachen, Liu, Xiao, Ma, Ming, Liu, Anfeng, Wang, Tian, Huang, Changqin

“…Cloud computing has emerged as today’s most exciting computing paradigm for providing services using a shared framework, which opens a new door for solving the…”
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Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks by Zhou, Mi, Zhao, Ming, Liu, Anfeng, Ma, Ming, Wang, Tiang, Huang, Changqin

“…Transferring emergent target tracking data to sinks is a major challenge in the Industrial Internet of Things (IIoT), because inefficient data transmission can…”
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Efficient XML Query and Update Processing Using A Novel Prime-Based Middle Fraction Labeling Scheme by Qin, Zunyue, Tang, Yong, Tang, Feiyi, Xiao, Jing, Huang, Changqin, Xu, Hongzhi

“…XML data can be represented by a tree or graph and the query processing for XML data requires the structural information among nodes. Designing an efficient…”
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Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval by Xu, Chunyan, Huang, Xiaodi, Huang, Changqin, Xu, Haijiao, Huang, Muxiong

“…With the rapidly growing number of images over the Internet, efficient scalable semantic image retrieval becomes increasingly important. This paper presents a…”
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