Xinyang Chen

ORCID: 0000-0003-1145-510X
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About
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Research Areas
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Thermochemical Biomass Conversion Processes
  • Domain Adaptation and Few-Shot Learning
  • Advanced Battery Technologies Research
  • Optical Systems and Laser Technology
  • Optical measurement and interference techniques
  • Photonic and Optical Devices
  • Supercapacitor Materials and Fabrication
  • Thermal and Kinetic Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Enhanced Oil Recovery Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Advanced Fiber Optic Sensors
  • Adaptive optics and wavefront sensing
  • Advanced Neural Network Applications
  • Hydraulic and Pneumatic Systems
  • Multimodal Machine Learning Applications
  • Silicon Carbide Semiconductor Technologies
  • Heat transfer and supercritical fluids
  • Remote Sensing in Agriculture
  • Machine Learning and ELM
  • Advanced Measurement and Metrology Techniques
  • Lignin and Wood Chemistry
  • Geomechanics and Mining Engineering

China University of Mining and Technology
2024-2025

Donghua University
2025

University of Electronic Science and Technology of China
2023-2024

North China University of Water Resources and Electric Power
2024

China University of Petroleum, Beijing
2023-2024

China Pharmaceutical University
2008-2024

Dalian Polytechnic University
2023-2024

State Key Laboratory of Electronic Thin Films and Integrated Devices
2024

Zhejiang University
2023-2024

Fuzhou University
2024

Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges in dealing with flexibility, which allows an operation be scheduled on one out of multiple machines and is often required practice. Such one-to-many relationship brings additional complexity both decision making state representation. This article considers well-known flexible job-shop problem addresses...

10.1109/tii.2022.3189725 article EN IEEE Transactions on Industrial Informatics 2022-07-11

Abstract Applications of lithium–sulfur (Li–S) batteries are still limited by the sluggish conversion kinetics from polysulfide to Li 2 S. Although various single‐atom catalysts available for improving kinetics, sulfur redox Li–S is not ultrafast. Herein, in this work, a catalyst with dual‐single‐atom Pt‐Co embedded N‐doped carbon nanotubes (Pt&Co@NCNT) was proposed atomic layer deposition method suppress shuttle effect and synergistically improve interconversion polysulfides The X‐ray...

10.1002/cey2.422 article EN cc-by Carbon Energy 2023-09-15

This article presents a novel method for timely and accurate detection of incipient faults in current sensors permanent magnet synchronous motor (PMSM) drive systems by utilizing an interval sliding mode observer (SMO). Initially, hybrid logic dynamic model is developed to incorporate sensor faults, system parameter perturbation, unknown disturbances. The are then reconstructed using state augmentation nonsingular coordinate transformation techniques. Subsequently, adaptive SMO with fast...

10.1109/tim.2024.3351232 article EN IEEE Transactions on Instrumentation and Measurement 2024-01-01

Fine-grained visual categorization has long been considered as an important problem, however, its real application is still restricted, since precisely annotating a large fine-grained image dataset laborious task and requires expert-level human knowledge. A solution to this problem applying domain adaptation approaches scenarios, where the key idea discover commonality between existing datasets massive unlabeled data in wild. The main technical bottleneck lies that inter-domain variation...

10.1109/cvpr42600.2020.00923 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020-06-01

Fault diagnosis and identification play a crucial role in ensuring the high reliability of permanent magnet synchronous motor (PMSM) drive systems used electric vehicles. However, detecting differentiating insulated gate bipolar transistor (IGBT) open-circuit (OC) faults current sensor (CS) incipient PMSM inverters pose challenges due to their similar effects on phase distortion. To address this issue, paper proposes novel strategy that enables simultaneous detection IGBT OC CS drives....

10.1109/tim.2023.3305653 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

Ultra-short-term wind power prediction is of great importance for the integration renewable energy. It foundation probabilistic and even a slight increase in accuracy can exert significant improvement safe economic operation systems. However, due to complex spatiotemporal relationship intrinsic characteristic nonlinear, randomness intermittence, regional farm clusters each farm’s still challenge. In this paper, framework based on graph neural network numerical weather (NWP) proposed...

10.3390/app10217915 article EN cc-by Applied Sciences 2020-11-08

In conjunction with the increasing demand for material cutting, such as decommissioning and dismantling of nuclear facilities, advanced cutting technologies need be developed to increase precision cost-effectiveness. As compared other technologies, laser offers advantages greater precision, accuracy, customization. this work, we investigated constitution, classification, current status technology. Pollutant emission during corresponding pollution control methods apparatus were proposed well....

10.3390/pr10040732 article EN Processes 2022-04-11

Antimony (Sb)-based materials have shown great potential as anode for lithium-ion batteries (LIBs) owing to their high energy density well long lifespan. However, the huge volume variation upon cycling will result in severe capacity fading, thus hindering practical application of Sb-based materials. Herein, an ultrafine Sb2O3 nanoparticle-decorated reduced graphene oxide (rGO) composite (denoted Sb2O3/rGO) was developed through a facile thermal decomposition antimony 2-ethylhexanoate on rGO...

10.1021/acs.energyfuels.3c00172 article EN Energy & Fuels 2023-03-08

Cities play a crucial role in the carbon cycle. Measuring urban aboveground biomass (AGB) is essential for evaluating sequestration. Satellite remote sensing enables large-scale AGB inversion. However, apparent differences between forest and grassland pose significant challenge to accurate estimation of using satellite-based data. To address this limitation, study proposed novel method eastern part Zhahe mining area Huaibei City as area, which integrates land cover classification, feature...

10.3390/rs16091537 article EN cc-by Remote Sensing 2024-04-26

Uncontrolled wound bleeding and bacterial infection are the most common problems in healing/skin regeneration, failure to provide effective care will obviously increase risk of other diseases reduce quality healing. The ideal strategy is prepare a simple dressing with rapid hemostasis durable antimicrobial activity as an alternative conventional hemostatic gauze facilitate satisfactory In this study, Ag-doped TiO 2 nanoparticles modified unsaturated carbon–carbon double bonds (Ag@M-TiO )...

10.1177/00405175241307044 article EN Textile Research Journal 2025-01-22
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