Tongliang Li

ORCID: 0009-0009-4330-0576
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Research Areas
  • Software System Performance and Reliability
  • Blockchain Technology Applications and Security
  • Cloud Computing and Resource Management
  • Crop Yield and Soil Fertility
  • Reproductive Physiology in Livestock
  • Wastewater Treatment and Reuse
  • Rice Cultivation and Yield Improvement
  • Effects and risks of endocrine disrupting chemicals
  • Land Use and Ecosystem Services
  • Sustainability and Ecological Systems Analysis
  • Electrostatic Discharge in Electronics
  • Sustainable Agricultural Systems Analysis
  • Service-Oriented Architecture and Web Services
  • Agriculture Sustainability and Environmental Impact
  • Phosphorus and nutrient management
  • Network Security and Intrusion Detection
  • Animal Behavior and Welfare Studies
  • Genetics and Plant Breeding
  • Topic Modeling
  • Soil and Water Nutrient Dynamics
  • Water-Energy-Food Nexus Studies
  • Climate change impacts on agriculture
  • Smart Grid Security and Resilience

Sichuan Agricultural University
2023-2024

Beijing Information Science & Technology University
2024

China Agricultural University
2018-2020

Abstract Nutrients, such as nitrogen and phosphorus, provide vital support for human life, but overloading nutrients to the Earth system leads environmental concerns, water air pollution on local scales climate change global scale. With an urgent need feed world's growing population concern over nutrient change, sustainable management has become a major challenge this century. To address challenge, body of research budgets, namely inputs outputs given system, provided great opportunities...

10.1029/2018gb006060 article EN Global Biogeochemical Cycles 2020-02-19

To address the increasing complexity and frequency of cybersecurity incidents emphasized by recent threat reports with over 10 billion instances, cyber intelligence (CTI) plays a critical role in modern landscape offering insights required to understand combat constantly evolving nature threats. Inspired powerful capability large language models (LLMs) handling complex tasks, this paper, we introduce framework benchmark, elicit, improve incident analysis response abilities LLMs for Security...

10.48550/arxiv.2405.03446 preprint EN arXiv (Cornell University) 2024-05-06

Optimizing Cropping patterns is important for the improvement of regional agricultural economic efficiency and sustainable development. However, there are few studies on sustainability cropping in hilly areas. Here, we studied four new three-maturing a typical ecological site areas southwest China. An analytical method combining evaluation energy value analysis was used to evaluate compare model traditional model. We explored construction three-crop suitable area improve benefits production...

10.3390/agronomy13102640 article EN cc-by Agronomy 2023-10-19

Optimizing sowing dates (SDs) is a potential strategy for adjusting maize production to climate change and increasing yield. However, there still lack of research on the combined effects lodging yield in relation climatic variables across various SDs. This study aims investigate changing patterns distribution important during growth season, their impact lodging, critical factors affecting at crucial stages under different SD scenarios. In this study, we assessed by conducting field...

10.1016/j.jia.2024.03.078 article EN cc-by-nc-nd Journal of Integrative Agriculture 2024-03-01

The escalating complexity of micro-services architecture in cloud-native technologies poses significant challenges for maintaining system stability and efficiency. To conduct root cause analysis (RCA) resolution alert events, we propose a pioneering framework, multi-Agent Blockchain-inspired Collaboration (mABC), to revolutionize the AI IT operations (AIOps) domain, where multiple agents based on powerful large language models (LLMs) perform blockchain-inspired voting reach final agreement...

10.48550/arxiv.2404.12135 preprint EN arXiv (Cornell University) 2024-04-18

The construction of an appropriate cropping pattern is crucial for the improvement regional agricultural economic efficiency and sustainable development. Despite previous efforts, there remains a gap in optimizing patterns that fully leverage climate resources to enhance production efficiency. This study addresses this by systematically comparing differences resource allocation, crop response among models constructing four new triple-maturing at typical ecological sites hilly areas southwest...

10.3390/agronomy14061154 article EN cc-by Agronomy 2024-05-28

Smart grid is a crucial Cyber-Physical system and prone to cyber-attacks. In this paper, we propose novel false data injection attack (FDIA) construction mechanism. Firstly, the measurements are preprocessed eliminate outliers caused by failure, communication failure missing. Then, decomposed into multiplication of unitary matrixes proposed improved Singular Value Decomposition (SVD) algorithm. To achieve more accurate matrix, introduce regularization constraints objective SVD. At last, FDIA...

10.1109/icict62343.2024.00078 article EN 2024-03-15

Summary Dietary threonine imbalance is known to impair reproductive performances of gestating sows, but the underlying mechanisms are largely unknown. In this study, effects deficiency and surplus dietary during gestation on performance, serum metabolites hormones concentration, colostral nutrient immunoglobulin contents primiparous sows were investigated. Ninety pregnant gilts assigned one three treatments with different standardized ileal digestible threonine/lysine ratios at 0.59, 0.72...

10.1111/jpn.12866 article EN Journal of Animal Physiology and Animal Nutrition 2018-01-11
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