Xiaoqiang Zhang

ORCID: 0000-0001-5340-7697
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About
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Research Areas
  • Transportation Planning and Optimization
  • Urban and Freight Transport Logistics
  • Cryptographic Implementations and Security
  • RFID technology advancements
  • Advanced Malware Detection Techniques
  • Maritime Ports and Logistics
  • Vehicle emissions and performance
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Chaos-based Image/Signal Encryption
  • Network Security and Intrusion Detection
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Aviation Industry Analysis and Trends
  • Coding theory and cryptography
  • UAV Applications and Optimization
  • IoT Networks and Protocols
  • Robot Manipulation and Learning
  • Anomaly Detection Techniques and Applications
  • Age of Information Optimization
  • Advanced MIMO Systems Optimization
  • Robotics and Sensor-Based Localization
  • Urban Transport and Accessibility
  • Advanced DC-DC Converters
  • Robotic Path Planning Algorithms
  • Advanced Manufacturing and Logistics Optimization

Southwest University of Science and Technology
2019-2025

The Affiliated Yongchuan Hospital of Chongqing Medical University
2025

Chongqing Medical University
2025

Chengdu Second People's Hospital
2025

China Railway Group (China)
2018-2025

Lanzhou University
2025

Xian Yang Central Hospital
2025

Lanzhou University Second Hospital
2025

Southwest Jiaotong University
2012-2024

Taiyuan University of Technology
2024

Emotion-cause pair extraction (ECPE), which aims at simultaneously extracting emotion-cause pairs that express emotions and their corresponding causes in a document, plays vital role understanding natural languages. Considering most usually have few mentioned contexts, we present novel end-to-end Pair Graph Convolutional Network (PairGCN) to model pair-level contexts so capture the dependency information among local neighborhood candidate pairs. Moreover, graphical network, are grouped into...

10.18653/v1/2020.coling-main.17 article EN cc-by Proceedings of the 17th international conference on Computational linguistics - 2020-01-01

At present, people's daily garbage is increasing day by day. How to intelligently classify can save manpower and improve work efficiency. In this paper, a classification model based on YOLOv5 object detection network named GC-YOLOv5 designed. First, according the common category, five typical kinds of were selected, data cleaned, labeled, constructed dataset. Second, was built trained our datasets. Third, in view convenience multi-terminal access cloud reduction computing pressure edge...

10.1109/prai53619.2021.9550790 article EN 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) 2021-08-20

Through-silicon-vias (TSVs) are prone to defects during the manufacturing process, which pose yield challenges for three dimensional integrated circuits (3D-ICs). The area per TSV is too great be ignored, and in order not use any redundant TSVs, a chain-type time division multiplexing access (TDMA)-based fault tolerance technique proposed. However, double-TSV structure used group, resulting significant hardware overhead under given large-scaled circuit design. Furthermore, it impossible...

10.1109/tetc.2020.2969237 article EN IEEE Transactions on Emerging Topics in Computing 2020-01-24

10.1016/j.trd.2020.102483 article EN Transportation Research Part D Transport and Environment 2020-08-10

Aerial object detection acts a pivotal role in searching and tracking applications. However, the large model, limited memory, computing power of embedded devices restrict aerial pedestrian algorithms’ deployment on UAV (unmanned vehicle) platform. In this paper, an innovative method infrared YOLO (AIR-YOLOv3) is proposed, which combines network pruning YOLOv3 method. Firstly, to achieve more appropriate number size prior boxes, boxes are reclustered. Then, accelerate inference speed premise...

10.3390/app12073627 article EN cc-by Applied Sciences 2022-04-03

Abstract The massive multiple‐input multiple‐output (mMIMO) approach is promising for the Internet of Things (IoT) owing to its connectivity and high data rate. We introduce a wireless‐powered cell‐free mMIMO system, in which ground IoT devices transmit pilot uplink information by harvesting downlink power from multiantenna access points. Considering spatial correlation, we derive closed‐form expressions average harvested with nonlinear energy‐harvesting model per device achievable rate...

10.4218/etrij.2023-0216 article EN publisher-specific-oa ETRI Journal 2025-01-05

10.1016/j.rtbm.2025.101296 article EN Research in Transportation Business & Management 2025-01-29

Background Data on the prevalence of overweight and obesity in Southwestern China were limited. The aims this study to estimate overweight/obesity their associated factors area. Methods A cross-sectional was conducted from 2013 2014 Chengdu Chongqing, two megacities China. obtained questionnaires, physical examinations lab tests. total 11,096 residents aged 35–79 years included final analysis study. Results among adults 29.7 4.4%, respectively. Multivariable logistic regression suggested...

10.3389/fpubh.2025.1507467 article EN cc-by Frontiers in Public Health 2025-02-12

Postoperative pain and psychological well-being in postpartum women following cesarean section are critical for optimal maternal recovery. Traditional analgesics often have limitations side effects, prompting the need alternative solutions. This study evaluates impact of an esketamine intravenous analgesic pump on postoperative status section. A comprehensive retrospective evaluation was conducted at our institution from October 2021 to July 2023, including 168 patients who underwent...

10.1186/s12893-025-02868-y article EN cc-by-nc-nd BMC Surgery 2025-04-08

This correspondence presents an extended pipelined second-order Volterra (EPSOV) filter for active control of nonlinear noise processes. The corresponding filtered-x algorithms using the bank implementation are also suggested. Compared to standard SOV least mean square (SOVFXLMS), those modules EPSOV can be performed simultaneously in a parallelism fashion, and this would lead significant improvement its total computational efficiency. Results obtained from computer simulations processes...

10.1109/tasl.2011.2175383 article EN IEEE Transactions on Audio Speech and Language Processing 2011-11-10

RFID technology has been widely utilized for the tracking and identification of numerous stationary moving objects. One most challenging applications to do with improvement in reliability, scheduling efficiency large-scale transportation infrastructure. As an example, Radio Frequency Identification (RFID) Ultra High Friency (UHF) frequencies (840–845MHz 920–925MHz) is one several technologies currently being China monitor regulate railway system. Despite very successful performance ATIS...

10.5772/45676 article EN cc-by International Journal of Engineering Business Management 2011-01-01

10.1016/j.jrtpm.2017.01.001 article EN Journal of Rail Transport Planning & Management 2017-01-01

Grasp detection is an essential task for robots to achieve autonomous operation, it can also make virtual reality-based teleoperation more intelligent and reliable. Existing learning-based grasp methods usually fail strike a balance between high accuracy low time consumption. Also, the large number of model parameters tends these expensive deploy. To solve this problem, lightweight generative network DSC-GraspNet proposed. Firstly, Depth-separable convolutional blocks with Coordinate...

10.1109/icvr57957.2023.10169448 article EN 2023-05-12

Physical activity has been shown to alleviate negative emotions. We examined whether physical is associated with lower non-suicidal self-injurious behavior in adolescents and the mediating chain-mediating roles of psychological capital relative deprivation this association.

10.3389/fpsyt.2024.1509967 article EN cc-by Frontiers in Psychiatry 2024-11-29
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