Zhiqiang Lv

ORCID: 0000-0002-3071-160X
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About
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Research Areas
  • Traffic Prediction and Management Techniques
  • Transportation Planning and Optimization
  • Human Mobility and Location-Based Analysis
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Remote Sensing and Land Use
  • Speech Recognition and Synthesis
  • Supercapacitor Materials and Fabrication
  • Land Use and Ecosystem Services
  • Speech and Audio Processing
  • Traffic control and management
  • Natural Language Processing Techniques
  • Music and Audio Processing
  • Network Security and Intrusion Detection
  • Advanced Battery Technologies Research
  • Environmental Changes in China
  • Advanced Biosensing Techniques and Applications
  • Silkworms and Sericulture Research
  • Urban Heat Island Mitigation
  • Autonomous Vehicle Technology and Safety
  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Pancreatic function and diabetes
  • Natural Compounds in Disease Treatment
  • Advanced battery technologies research

Chinese Academy of Sciences
2016-2025

Handan College
2025

Shanghai Institute of Materia Medica
2025

Zhejiang Sci-Tech University
2025

Urumqi Vocational University
2025

University of Chinese Academy of Sciences
2018-2024

Qingdao University
2020-2024

Ludong University
2023-2024

ZheJiang Academy of Agricultural Sciences
2013-2024

Institute of Information Engineering
2014-2024

We present a coral-like FeP composite with nanoparticles anchored and dispersed on nitrogen-doped 3D carbon framework (FeP@NC). Due to the highly continuous N-doped spring-buffering graphitized layer around nanoparticle, sodium-ion battery FeP@NC exhibits an ultra-stable cycling performance at 10 A g-1 capacity retention of 82.0 % in 000 cycles. Also, particle refinement leads increase during cycling. The go through refining-recombination process first cycle global refining trend after...

10.1002/anie.202110177 article EN Angewandte Chemie International Edition 2021-09-15

In this paper, we present Multi-scale Feature Aggregation Conformer (MFA-Conformer), an easy-to-implement, simple but effective backbone for automatic speaker verification based on the Convolution-augmented Transformer (Conformer).The architecture of MFA-Conformer is inspired by recent stateof-the-art models in speech recognition and verification.Firstly, introduce a convolution subsampling layer to decrease computational cost model.Secondly, adopt blocks which combine Transformers neural...

10.21437/interspeech.2022-563 article EN Interspeech 2022 2022-09-16

Predicting urban travel demand is important in perceiving the future state of a city, deploying public transportation resources, and building intelligent cities. Influenced by multifarious factors, data have high-frequency noise complex fluctuation patterns. Current studies focused on predicting via various models. However, there little work that comprehensively considers natural environmental factors socioeconomic affecting demand. Some improvements are made this work. First, influencing...

10.1109/mits.2022.3162901 article EN IEEE Intelligent Transportation Systems Magazine 2022-04-14

Na3V2(PO4)2F3 has been emerging as one of the most promising cathodes for sodium-ion batteries due to its stable NASICON structure and fast Na+ diffusion. However, present methods preparation suffer from either high energy consumption or generating poor rate performance. Herein, a cost-effective solvothermal–ball-milling method is proposed solve problem. In solvothermal process, morphology varies 0D 3D with changing pH, in which at pH = 3 shows optimal purity fastest growth rate. With...

10.1021/acsenergylett.9b00748 article EN ACS Energy Letters 2019-06-11

We investigated the role of 1-deoxynojirimycin (DNJ) on glucose absorption and metabolism in normal diabetic mice. Oral intravenous tolerance tests labeled 13C6-glucose uptake assays suggested that DNJ inhibited intestinal intestine. also showed down-regulated SGLT1, Na+/K+-ATP GLUT2 mRNA protein expression. Pretreatment with (50 mg/kg) increased activity, levels hepatic glycolysis enzymes (GK, PFK, PK, PDE1) decreased expression gluconeogenesis (PEPCK, G-6-Pase). Assays cells vitro purified...

10.1038/srep01377 article EN cc-by-nc-nd Scientific Reports 2013-03-28

As one of the most promising cathodes for sodium-ion batteries, polyanionic compounds still suffer from unsatisfactory capacity and rate performance resulting poor electron conductivity. Furthermore, charge-transfer kinetics, especially Na+, becomes limiting as mass loading increases. Herein, a robust free-standing electrode coupling optimal porous Na3V2(PO4)3@C microspheres with bicontinuous charge transport network is designed prepared by simple casting method. In design, carbon-coated...

10.1021/acsami.9b22746 article EN ACS Applied Materials & Interfaces 2020-03-06

Abstract Electrode design enabling more active materials makes it possible to improve the energy density for sodium‐ion batteries (SIBs) on device level, yet suffer from sluggish ion transport. Herein, a low‐tortuosity Na 3 V 2 (PO 4 ) ‐based cathode is demonstrated based nonsolvent‐induced phase separation method. The targeted morphology can be achieved by thermodynamic and kinetic modulation. Benefiting structural advantages, electrode with an ultra‐high mass loading (60 mg cm −2 areal...

10.1002/aenm.202003725 article EN Advanced Energy Materials 2021-03-18

Abstract Taxi flow forecast is significant for planning transportation and allocating basic resources. The in the urban adjacent area different from fixed-point forecast. Their data are more complex diverse, which make them challenging to This paper introduces a deep spatial–temporal (DeepSTF) model forecasting of area, divides into grids makes it have graph structure. builds calculation block, uses convolutional network extract spatial correlation feature two-layer temporal networks...

10.1093/comjnl/bxab178 article EN The Computer Journal 2021-11-16

This work presents our systems for the ADD2022 challenge. The challenge is first audio deep synthesis detection challenge, which aims to spot various kinds of fake audios. We have explored using unsupervised pretraining models build systems. Results indicate that can achieve excellent performance detection. Our final EER results low-quality and partially are 32.80% 4.80% relatively. For detection, ranked in competition. Even trained with totally mismatched data, method still generalizes well

10.1109/icassp43922.2022.9747605 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022-04-27

Yifei Zhou1, Wenfan Feng1, Yanbin Xu*,1, Xingang Liu1, Shuai Wang1, Zhiqiang Lv1, Xiao Li1, Ethan Burcar2, Zhe Wang*,2 and Zhenglong Yang*,1 1. School of Chemistry Materials Science, Ludong University, Yantai 264025, PR China 2. Department, Oakland Rochester, MI, 48309, USA

10.30919/es1060 article EN Engineered Science 2023-01-01
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