Lei Gao

ORCID: 0000-0003-4272-9417
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About
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Research Areas
  • Water resources management and optimization
  • Environmental Impact and Sustainability
  • Hydrology and Watershed Management Studies
  • Climate change impacts on agriculture
  • Sustainability and Climate Change Governance
  • Land Use and Ecosystem Services
  • Distributed and Parallel Computing Systems
  • Remote Sensing and LiDAR Applications
  • Peer-to-Peer Network Technologies
  • Advanced Neural Network Applications
  • Industrial Vision Systems and Defect Detection
  • Visual Attention and Saliency Detection
  • Water-Energy-Food Nexus Studies
  • Hydrological Forecasting Using AI
  • Marine and fisheries research
  • Agriculture Sustainability and Environmental Impact
  • Climate Change Policy and Economics
  • Sustainability and Ecological Systems Analysis
  • Mine drainage and remediation techniques
  • Sustainable Development and Environmental Policy
  • Groundwater and Watershed Analysis
  • Mining Techniques and Economics
  • Metaheuristic Optimization Algorithms Research
  • Translation Studies and Practices
  • Complex Network Analysis Techniques

Commonwealth Scientific and Industrial Research Organisation
2015-2025

Hohai University
2023-2025

China Telecom (China)
2024

China Telecom
2024

PLA Rocket Force University of Engineering
2022-2024

China Tobacco
2024

The University of Adelaide
2024

Institute of Acoustics
2011-2023

Chinese Academy of Sciences
2011-2023

Health Sciences and Nutrition
2023

Abstract Since the early 2000s, China has carried out extensive “grain-for-green” and grazing exclusion practices to combat desertification in desertification-prone region (DPR). However, environmental socioeconomic impacts of these remain unclear. We quantify compare changes fractional vegetation cover (FVC) with economic population data DPR before after implementation programmes. Here we show that climatic change CO 2 fertilization are relatively strong drivers rehabilitation from...

10.1038/s41467-023-36835-z article EN cc-by Nature Communications 2023-02-28

Abstract The COVID-19 pandemic has undermined the ability of many countries to achieve Sustainable Developments Goals (SDGs) by 2030. Here, we systematically assess likely impacts on progress towards each SDG 2030 at global, regional and national scales. In our analysis, account for social economic shocks triggered their relative SDGs. We also analyze interconnections between indicators during indirect cascading effects find that these slowed much more than direct initial disruptions....

10.1038/s43247-023-00846-x article EN cc-by Communications Earth & Environment 2023-06-08

Understanding potential future influence of environmental, economic, and social drivers on land-use sustainability is critical for guiding strategic decisions that can help nations adapt to change, anticipate opportunities, cope with surprises. Using the Land-Use Trade-Offs (LUTO) model, we undertook a comprehensive, detailed, integrated, quantitative scenario analysis Australia's agricultural land from 2013–2050, under interacting global change domestic policies, considering key...

10.1016/j.gloenvcha.2016.03.002 article EN cc-by Global Environmental Change 2016-03-24

As the largest freshwater storage in world, groundwater plays an important role maintaining ecosystems and helping humans adapt to climate change. However, dynamics, such as recharge, cannot be measured directly is influenced by spatially temporally complex processes, models are therefore required capture dynamics provide scientific advice for decision-making. This paper developed, estimated compared performance of linear regression, multi-layer perception (MLP) Long Short-Term Memory (LSTM)...

10.3390/w11091879 article EN Water 2019-09-10

Abstract Object detection methods aim to identify all target objects in the image and determine categories position information order achieve machine vision understanding. Numerous approaches have been proposed solve this problem, mainly inspired by of computer deep learning. However, existing always perform poorly for small, dense objects, even fail detect with random geometric transformations. In study, we compare analyse mainstream object algorithms propose a multi-scaled deformable...

10.1186/s13673-020-00219-9 article EN cc-by Human-centric Computing and Information Sciences 2020-04-11

High-Quality Development (HQD) can well meet human’s growing needs for a better life, and it is an important manifestation of efficient, fair sustainable development. It crucial turning point China from high-speed development to HQD. A understanding the HQD perspective efficiency very China. Using prefecture-level city panel data 2005 2019, this study built model coupled with innovation, coordination, greenness, openness, sharing, slacks-based measure (ICGOS-SBM) based on Super-SBM slack...

10.1016/j.ecolind.2022.109593 article EN cc-by-nc-nd Ecological Indicators 2022-10-30

Progress to-date towards the Sustainable Development Goals (SDGs) has fallen short of expectations and is unlikely to fully meet 2030 targets. Despite little chance imminent success, past assessments have mostly focused on short- medium-term evaluations, limiting ability explore longer-term effects systemic interactions with time lags delay. Here we undertake global systems modelling a view than previous drivers sustainability progress how they could emerge by 2030, 2050, 2100 under...

10.1016/j.oneear.2022.06.003 article EN cc-by One Earth 2022-07-01

In recent years, short videos have become an increasingly vital source of information. To compete for users' attention, video platforms been overusing algorithmic technology, making the group polarization intensify, which is likely to push users into homogeneous "echo chamber". However, echo chambers can contribute spread misleading information, false news, or rumors, negative social impacts. Therefore, it necessary explore chamber effects in platforms. Moreover, communication paradigms...

10.1038/s41598-023-33370-1 article EN cc-by Scientific Reports 2023-04-18

This paper proposes s-LSTM, a top-down deep learning model, for efficiently modelling and predicting the spatiotemporal dynamics of groundwater recharge. The model's effectiveness was evaluated compared with three bottom-up machine models using case study 246 bores in South Australia. results demonstrate that s-LSTM outperformed by 3.7%–28.9% prediction performance (based on root mean squared error) reduced training time 37.4%–99.5%. Furthermore, exhibited superior capabilities terms...

10.1016/j.envsoft.2023.105778 article EN cc-by-nc-nd Environmental Modelling & Software 2023-07-07

Arid areas cover approximately 41% of Earth's land surface and support more than 38% the global population. As an important part drylands, oases are main carriers human production, socioeconomic activity, ecological environment. Oases typically sustain nearly all arid region's population produce 95% its gross domestic product. The ongoing intensification warming activities has resulted in water stress water-related environmental problems areas, along with degradation desertification. risk...

10.1146/annurev-environ-111522-105932 article EN Annual Review of Environment and Resources 2024-06-07

Analyzing topological properties of drug-target proteins in the biology network is very helpful understanding mechanism drug action. However, comprehensive studies to elaborately characterize biological features are still lacking. In this paper, we compared drug-targets with those non-drug-target sets, by mapping DrugBank human protein interaction network. The results indicate that significantly distinguishable from non-drug-targets. Moreover, potential possibility prediction based on these...

10.1080/10611860903046610 article EN Journal of drug targeting 2009-06-16

Lei Gao, Prafulla Kumar Choubey, Ruihong Huang. Proceedings of the 2019 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.

10.18653/v1/n19-1179 article EN 2019-01-01
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