Jingjing Chen

ORCID: 0000-0003-1737-3420
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About
Contact & Profiles
Research Areas
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Vector-borne infectious diseases
  • Blockchain Technology Applications and Security
  • Supercapacitor Materials and Fabrication
  • Traffic Prediction and Management Techniques
  • Higher Education and Teaching Methods
  • Ferroelectric and Piezoelectric Materials
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Microwave Dielectric Ceramics Synthesis
  • Transportation Planning and Optimization
  • Online Learning and Analytics
  • Digital Media and Visual Art
  • Education and Work Dynamics
  • Coal and Its By-products
  • FinTech, Crowdfunding, Digital Finance
  • Advanced Battery Technologies Research
  • Advanced battery technologies research
  • Energy Load and Power Forecasting
  • Indoor and Outdoor Localization Technologies
  • Auditing, Earnings Management, Governance
  • Ideological and Political Education
  • Industrial Vision Systems and Defect Detection
  • IoT and Edge/Fog Computing

Southern University of Science and Technology
2018-2025

Beijing Academy of Quantum Information Sciences
2025

Fudan University
2020-2025

Bioscience (China)
2025

Fuzhou University
2025

Sun Yat-sen University
2025

Zhejiang University of Technology
2015-2024

Community Health Center
2024

Shenzhen Technology University
2023-2024

Hong Kong Polytechnic University
2024

The dominant speech separation models are based on complex recurrent or convolution neural network that model sequences indirectly conditioning context, such as passing information through many intermediate states in network, leading to suboptimal performance.In this paper, we propose a dual-path transformer (DPT-Net) for end-to-end separation, which introduces direct context-awareness the modeling sequences.By improved transformer, elements can interact directly, enables DPTNet with...

10.21437/interspeech.2020-2205 article EN Interspeech 2022 2020-10-25

Abstract High‐voltage LiCoO 2 is an attractive cathode for ultra‐high energy lithium‐ion batteries in the 5G era. However, practical application of largely hindered by unstable structure under high voltage. Herein, dextran sulfate lithium (DSL) used as a versatile binder to improve cycling stability at 4.6 V. A coulombic efficiency almost 100% and 93.4% capacity retention after 100 cycles has been achieved. The aqueous DSL can be evenly coated onto surfaces particles function artificial...

10.1002/aenm.202101864 article EN Advanced Energy Materials 2021-09-12

Supply Chain Finance (SCF) refers to the financial service in which banks rely on core enterprises manage capital flow and logistics of upstream downstream enterprises. SCF adopts a self-testing closed-loop credit model control funds risks. The key factor successful is deployment business-oriented information systems that allow businesses form partnerships efficiently expedite cash flows throughout supply chain. Blockchain Technology (BCT), featuring decentralization, tamper-proofing,...

10.1016/j.dcan.2022.03.020 article EN cc-by-nc-nd Digital Communications and Networks 2022-03-26

In this paper, a Blockchain-driven platform for supply chain finance, BCautoSCF (Zhi-lian-che-rong in Chinese), is introduced. It successfully established as reliable and efficient financing the auto retail industry. Due to Blockchain built-in trust mechanism, participants (SC) networks work extensively transparently run reliable, convenient, traceable business. Likewise, traditional finance (SCF), partial automation of SCF workflows with fewer human errors disruptions was achieved through...

10.3390/e22010095 article EN cc-by Entropy 2020-01-13

Defects in the textile manufacturing process lead to a great waste of resources and further affect quality products. Automated guarantee fabric materials is one most important demanding computer vision tasks smart manufacturing. This survey presents thorough overview algorithms for defect detection. First, this review briefly introduces importance inevitability detection towards era artificial intelligence. Second, methods are categorized into traditional learning-based algorithms,...

10.1155/2021/9948808 article EN Security and Communication Networks 2021-05-10

Abstract N‐doped carbons as one of the most prominent anode materials to replace standard graphite exhibit outstanding Li + storage performance. However, carbon anodes still suffer from low N‐doping levels and initial Coulombic efficiency (ICE). In this study, high graphitic‐N (LGNCs) with enhanced ICE were synthesized by taking advantage a denitrification strategy for graphitic nitride (g‐C 3 N 4 ). brief, more than 14.5 at% g‐C (55.1 N) was retained reacting lithium, which subsequently...

10.1002/cey2.257 article EN cc-by Carbon Energy 2022-08-04

Abstract A solid‐state sodium metal battery has cut a striking figure in next‐generation large‐scale energy storage technology on account of high safety, density, and low cost. Nevertheless, the large interfacial resistance dendrite growth originating from poor interface contact seriously hinder its practical application. Herein, modified ultrasound welding was proposed to atomically bond Na anodes Au‐metalized 3 Zr 2 Si PO 12 electrolytes associated with situ formation Na–Au alloy...

10.1002/cey2.299 article EN cc-by Carbon Energy 2022-11-22

Photovoltaic (PV) panels are widely adopted and set up on residential rooftops photovoltaic power plants. However, long-term exposure to ultraviolet rays, high temperature humid environments accelerates the oxidation of PV panels, which finally results in functional failure. The traditional fault detection approach for mainly relies manual inspection, is inefficient. Lately, machine vision-based approaches have emerged, but lack negative samples usually low accuracy hinders wide adoption...

10.3390/app12041789 article EN cc-by Applied Sciences 2022-02-09

Recently, the deep learning technology has been adopted in study of traditional village landscape. More precisely, it’s usually used to explore representation cultural heritage and diversity information. In this study, we comprehensively reviewed these learning-related literatures for evaluation landscapes. E.g., landscape image recognition led by pixel-level semantic segmentation algorithm feature extraction enable user-centred exploration make digitally visually accessible. By suggesting a...

10.3390/buildings13020525 article EN cc-by Buildings 2023-02-15

Abstract Integrating high‐valence metal sites into transition metal‐based oxygen evolution reaction (OER) catalysts turns out to be a prevailing solution replacing noble electrocatalysts. However, stabilizing the thermodynamically unfavorable within electrocatalyst remains challenging. Hereby, general strategy is proposed that evokes cooperative geometric and electronic interactions at nanometer coherent interfaces, which effectively stabilizes interfacial homogeneously distributed...

10.1002/adfm.202301490 article EN Advanced Functional Materials 2023-04-23
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