Search Results - "Mingliang Hou"

Based on molecular structures: Amyloid-β generation, clearance, toxicity and therapeutic strategies by Yang, Hai, Li, Jinping, Li, Xiaoxiong, Ma, Linqiu, Hou, Mingliang, Zhou, Huadong, Zhou, Rui

“…Amyloid-β (Aβ) has long been considered as one of the most important pathogenic factors in Alzheimer’s disease (AD), but the specific pathogenic mechanism of…”
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Circulating FGF‐23 Is Associated With Increased Risk of Osteoporosis and Fractures in Hemodialysis Patients: A Prospective Observational Study by Liu, Dong, Yang, Hongyan, Liao, Qirong, Chang, Baocao, Zhang, Weiwei, Li, Xiaoxiong, Li, Jinping, Hou, Mingliang, Ma, Linqiu, Liu, Yating, Lu, Jing, Zhou, Rui

“…Background and Objective: It is still controversial whether circulating fibroblast growth factor 23 (FGF‐23) can be used as a biomarker for the diagnosis of…”
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A Computational Complexity-Based Method for Predicting Scholars’ Ages through Articles’ Information by Zhang, Jun, Su, Xiaoyan, Hou, Mingliang, Ren, Jing

“…Many scholars have conducted in-depth research on the evaluation and prediction of scholars’ scientific impact and meanwhile discovered various factors that…”
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API: An Index for Quantifying a Scholar's Academic Potential by Ren, Jing, Wang, Lei, Wang, Kailai, Yu, Shuo, Hou, Mingliang, Lee, Ivan, Kong, Xiangjie, Xia, Feng

“…In the context of big scholarly data, various metrics and indicators have been widely applied to evaluate the impact of scholars from different perspectives,…”
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Highly multiplexed quantifications of 299 somatic mutations in colorectal cancer patients by automated MALDI-TOF mass spectrometry by Xu, Chang, Peng, Danli, Li, Jialu, Chen, Meihua, Hu, Yujie, Hou, Mingliang, Shang, Qingjuan, Liang, Qi, Li, Jie, Li, Wenfeng, Wu, Xiaoli, Liu, Changbao, Hu, Wanle, Cai, Mao, Zhang, Huxiang, Chen, Guorong, Yu, Lingling, Zheng, Xiaoqun, Jiang, Feizhao, Luan, Ju, Jin, Shengnan, Ding, Chunming

“…Detection of somatic mutations in tumor tissues helps to understand tumor biology and guide treatment selection. Methods such as quantitative PCR can analyze a…”
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Deep Reinforcement Learning based Energy Efficient Edge Computing for Internet of Vehicles by Kong, Xiangjie, Duan, Gaohui, Hou, Mingliang, Shen, Guojiang, Wang, Hui, Yan, Xiaoran, Collotta, Mario

“…Mobile network operators (MNOs) allocate computing and caching resources for mobile users by deploying a central control system. Existing studies mainly use…”
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A Federated Learning-Based License Plate Recognition Scheme for 5G-Enabled Internet of Vehicles by Kong, Xiangjie, Wang, Kailai, Hou, Mingliang, Hao, Xinyu, Shen, Guojiang, Chen, Xin, Xia, Feng

“…License plate is an essential characteristic to identify vehicles for the traffic management, and thus, license plate recognition is important for Internet of…”
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RMGen: A Tri-Layer Vehicular Trajectory Data Generation Model Exploring Urban Region Division and Mobility Pattern by Kong, Xiangjie, Chen, Qiao, Hou, Mingliang, Rahim, Azizur, Ma, Kai, Xia, Feng

“…As an important branch of the Internet of Things (IoT), the Internet of Vehicles (IoV) has attracted extensive attention in the research field. To deeply study…”
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Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework by Kong, Xiangjie, Wang, Kailai, Hou, Mingliang, Xia, Feng, Karmakar, Gour, Li, Jianxin

“…Traffic flow prediction is an integral part of an intelligent transportation system and thus fundamental for various traffic-related applications. Buses are an…”
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Mobility trajectory generation: a survey by Kong, Xiangjie, Chen, Qiao, Hou, Mingliang, Wang, Hui, Xia, Feng

“…Mobility trajectory data is of great significance for mobility pattern study, urban computing, and city science. Self-driving, traffic prediction, environment…”
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EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection by Ren, Jing, Hou, Mingliang, Liu, Zhixuan, Bai, Xiaomei

“…Graph anomaly detection is a popular and vital task in various real-world scenarios, which has been studied for several decades. Recently, many studies…”
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A Steady Corner Detection of Gray Level Images Based on Improved Harris Algorithm by Yuran Liu, Mingliang Hou, Xuejun Rao, Yudong Zhang

“…This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of…”
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A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data by Kong, Xiangjie, Xia, Feng, Li, Jianxin, Hou, Mingliang, Li, Menglin, Xiang, Yong

“…Mobile crowdsourcing (MCS), as an effective and crucial technique of Industrial Internet of Things, is enabling smart city initiatives in the real world. It…”
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Network embedding: Taxonomies, frameworks and applications by Hou, Mingliang, Ren, Jing, Zhang, Da, Kong, Xiangjie, Zhang, Dongyu, Xia, Feng

“…Networks are a general language for describing complex systems of interacting entities. In the real world, a network always contains massive nodes, edges and…”
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Federated Graph Anomaly Detection via Contrastive Self-Supervised Learning by Kong, Xiangjie, Zhang, Wenyi, Wang, Hui, Hou, Mingliang, Chen, Xin, Yan, Xiaoran, Das, Sajal K.

“…Attribute graph anomaly detection aims to identify nodes that significantly deviate from the majority of normal nodes, and has received increasing attention…”
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A lightweight framework for abnormal driving behavior detection by Hou, Mingliang, Wang, Mengyuan, Zhao, Wenhong, Ni, Qichao, Cai, Zhen, Kong, Xiangjie

“…As one of the most serious hazards in the world, traffic accidents have caused huge casualties and property losses. The detection of abnormal behaviors of…”
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STUB1 increases adiponectin expression by inducing ubiquitination and degradation of NR2F2, thereby reducing hepatic stellate cell activation and alleviating non-alcoholic fatty liver disease by Mao, Zheng, Zhao, Jindong, Cui, Fan, Li, Zhen, Cao, Jinjin, Zhou, Jingjing, Hou, Mingliang, Qian, Zengkun

“…Adiponectin (APN) has exhibited ameliorating effects on non-alcoholic fatty liver disease (NAFLD). This study investigates the roles of APN and its regulatory…”
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Coupled Attention Networks for Multivariate Time Series Anomaly Detection by Xia, Feng, Chen, Xin, Yu, Shuo, Hou, Mingliang, Liu, Mujie, You, Linlin

“…Multivariate time series anomaly detection (MTAD) plays a vital role in a wide variety of real-world application domains. Over the past few years, MTAD has…”
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Urban Region Profiling With Spatio-Temporal Graph Neural Networks by Hou, Mingliang, Xia, Feng, Gao, Haoran, Chen, Xin, Chen, Honglong

“…Region profiles are summaries of characteristics of urban regions. Region profiling is a process to discover the correlations between urban regions. The…”
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MissII: Missing Information Imputation for Traffic Data by Hou, Mingliang, Tang, Tao, Xia, Feng, Sultan, Ibrahim, Kaur, Roopdeep, Kong, Xiangjie

“…Cyber-Physical-Social Systems (CPSS) offer a new perspective for applying advanced information technology to improve urban transportation. However, real-world…”
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