Yong Huang

ORCID: 0009-0003-0638-2775
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About
Contact & Profiles
Research Areas
  • Network Packet Processing and Optimization
  • Error Correcting Code Techniques
  • Marine Bivalve and Aquaculture Studies
  • Caching and Content Delivery
  • Algorithms and Data Compression
  • Aquaculture Nutrition and Growth
  • Sustainability and Ecological Systems Analysis
  • Energy, Environment, Economic Growth
  • Air Quality Monitoring and Forecasting
  • Cloud Computing and Resource Management
  • Environmental Impact and Sustainability
  • Hydrological Forecasting Using AI
  • Land Use and Ecosystem Services
  • IoT and Edge/Fog Computing
  • Marine and environmental studies
  • Aquaculture disease management and microbiota
  • FinTech, Crowdfunding, Digital Finance
  • Blockchain Technology Applications and Security
  • Grey System Theory Applications

Chongqing University
2022-2024

China University of Geosciences
2024

Chinese Academy of Sciences
2024

University of Chinese Academy of Sciences
2024

Institute of Oceanology
2024

Clarifying the spatial correlation characteristics and influencing factors of coupling coordination between Foreign Direct Investment (FDI) flow networks carbon transfer in countries along Belt Road Initiative is utmost importance for formulation regional governance strategies establishment a high-quality Green Silk Road. This study used comprehensive approach combining social network analysis model to measure degree FDI 67 from 2010 2016. In addition, modified gravity characterize structure...

10.3389/fenvs.2024.1393011 article EN cc-by Frontiers in Environmental Science 2024-09-02

Self-attention is an essential component of large language models(LLMs) but a significant source inference latency for long sequences. In multi-tenant LLMs serving scenarios, the compute and memory operation cost self-attention can be optimized by using probability that multiple LLM requests have shared system prompts in prefixes. this paper, we introduce ChunkAttention, prefix-aware module detect matching prompt prefixes across share their key/value tensors at runtime to improve utilization...

10.48550/arxiv.2402.15220 preprint EN arXiv (Cornell University) 2024-02-23

<title>Abstract</title> In the process of human social development, coupling and coordinated development among ecological environment(E), production(P), living functions(L) is great significance for sustainable development. This study uses an improved coordination degree model (CCDM) to discover conflict between E settlement environment. The main work this as follows: (1)It found that in urbanization Ya 'an city from 2014 2018, coupling(DOC) value E, P, L high, but degree(CCD) three low,...

10.21203/rs.3.rs-4403445/v1 preprint EN cc-by Research Square (Research Square) 2024-05-23

In the process of human social development, coupling and coordinated development between ecological environment (E), production (P), living functions (L) are great significance for sustainable development. (1) this study, a more objective weight was obtained to minimize analysis error caused by subjective judgment weights. quantitative weights various influencing factors, improved backpropagation neural networks (BPNN), grey model (GMNN), generalized regression (GRNN) were developed identify...

10.1145/3650215.3650251 article EN 2023-10-27
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