Liu Hai-long

ORCID: 0009-0004-9838-4598
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About
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Research Areas
  • Catalysis for Biomass Conversion
  • Civil and Geotechnical Engineering Research
  • Catalysis and Hydrodesulfurization Studies
  • Biofuel production and bioconversion
  • Crop Yield and Soil Fertility
  • BIM and Construction Integration
  • Nanomaterials for catalytic reactions
  • Geomechanics and Mining Engineering
  • Infrared Target Detection Methodologies
  • Soil, Finite Element Methods
  • Media Studies and Communication
  • Asphalt Pavement Performance Evaluation
  • CCD and CMOS Imaging Sensors
  • Concrete Corrosion and Durability
  • Structural Engineering and Vibration Analysis
  • Simulation and Modeling Applications
  • Discourse Analysis in Language Studies
  • Conducting polymers and applications
  • Advanced Neural Network Applications
  • Geological Studies and Exploration
  • Analytical Chemistry and Sensors
  • Modeling, Simulation, and Optimization
  • Advanced Image Processing Techniques
  • Biomedical and Engineering Education
  • Scientific Innovation and Industrial Efficiency

Chinese Academy of Sciences
2018-2024

Changchun Institute of Optics, Fine Mechanics and Physics
2023-2024

Renmin University of China
2003-2023

Suzhou Research Institute
2011-2022

Lanzhou Institute of Chemical Physics
2018-2022

Lanzhou City University
2021

Xinjiang Petroleum Society
2020

Tencent (China)
2017

Jilin Agricultural University
2007

Central Party School of the Communist Party of China
2006

Heterogeneous catalytic reductive amination of biomass-based carbonyl compounds is a highly attractive strategy to realize green and sustainable amine synthesis under mild conditions. Herein, N1,N1-diethyl-1,4-pentanediamine, key side chain chloroquine pharmaceuticals, was selectively synthesized through the 5-diethylamino-2-pentanone on active NixAl nanocatalysts with different Ni/Al molar ratios prepared by simple co-precipitation method. The Ni1Al catalyst presented highest target diamine...

10.1021/acssuschemeng.2c00115 article EN ACS Sustainable Chemistry & Engineering 2022-04-04

Object detection in remote sensing plays a crucial role various ground identification tasks. However, due to the limited feature information contained within small targets, which are more susceptible being buried by complex backgrounds, especially extreme environments (e.g., low-light, motion-blur scenes). Meanwhile, event cameras offer unique paradigm with high temporal resolution and wide dynamic range for object detection. These advantages enable without intensity of light, perform better...

10.3390/rs16091641 article EN cc-by Remote Sensing 2024-05-04

5-Amino-1-pentanol was efficiently synthesized by reductive amination of bio-based 2-hydroxytetrahydropyran with a high yield over stable nano-Ni–Al<sub>2</sub>O<sub>3</sub> catalysts.

10.1039/d0nj04962j article EN New Journal of Chemistry 2021-01-01

Significant hydrocarbon discoveries that resulted from conglomerate reservoirs in the Baikouquan Formation have been found last few years Mahu Sag, Junggar Basin. Many studies conducted to describe sedimentological complexity of reservoirs. However, them focused on depositional characteristics and associated controlling factors Formation. In this study, analysis cores, thin sections, wireline logs, seismic volume were carried out obtain detailed descriptions interpretations sedimentary...

10.1002/gj.4064 article EN Geological Journal 2020-12-21

In recent years, with the rapid development of China's social economy, building industrialization is progressing and become most important trend in construction industry. However, current industry facing a lot problem. These problems had seriously affected further Therefore, relevant departments must study in-depth on industrialization-related issues order to promote new perspective all level.

10.18686/wc.v6i2.105 article EN World Construction 2017-05-29

Artistic stylization is an image transformation problem that renders in the style of another one. Existing methods either regard transfer as optimization perceptual loss function based on a pre-trained network, or train feed forward network achieves through one propagation. However, time-consuming processes relatively large networks are unacceptable for mobile application. In this work we propose tiny transform net to accomplish devices. The advantages our proposed architecture come from...

10.1145/3078971.3079034 article EN 2017-05-25

To mitigate the influence of satellite platform vibrations on space camera imaging quality, a novel approach is proposed to detect vibration parameters based correlation rolling-shutter CMOS. In meantime, restoration method address image degradation CMOS caused by such proposed. The parameter detection utilizes time-sharing and row-by-row principle obtain relative offset comparing two frames images from continuous imaging. Then, camera's are derived fitting curve offset. According detected...

10.3390/s23135953 article EN cc-by Sensors 2023-06-27

“Flexible time” as a myth in platform labor has been destructed by critical media scholars. However, while previous studies have answered the question of what time “isn’t,” most failed to go further analyzing “it is.” Based on 6-month fieldwork, this study aims re-construct temporal politics online food delivery industry China. Specifically, we employ an inherently relational perspective analyze three differential themes constructed heterogeneous actors, namely “daily third-party...

10.1177/14614448231213624 article EN New Media & Society 2023-11-28

This report presents the approach adopted in Modelscope-Sora challenge, which focuses on fine-tuning data for video generation models. The challenge evaluates participants' ability to analyze, clean, and generate high-quality datasets video-based text-to-video tasks under specific computational constraints. provided methodology involves processing techniques such as description generation, filtering, acceleration. outlines procedures tools utilized enhance quality of training data, ensuring...

10.48550/arxiv.2410.07194 preprint EN arXiv (Cornell University) 2024-09-23
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