Jiahuan Li

ORCID: 0000-0002-0016-7682
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About
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Research Areas
  • Natural Language Processing Techniques
  • Topic Modeling
  • Soil Carbon and Nitrogen Dynamics
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Fungal Biology and Applications
  • Mycorrhizal Fungi and Plant Interactions
  • Ecology and Vegetation Dynamics Studies
  • Plant Parasitism and Resistance
  • Healthcare professionals’ stress and burnout
  • Plant and animal studies
  • Microbial Community Ecology and Physiology
  • Hydrogen Storage and Materials
  • Polysaccharides and Plant Cell Walls
  • Multimodal Machine Learning Applications
  • Nematode management and characterization studies
  • Job Satisfaction and Organizational Behavior
  • Magnesium Alloys: Properties and Applications
  • Corrosion Behavior and Inhibition
  • Soil erosion and sediment transport
  • Membrane Separation Technologies
  • Traditional Chinese Medicine Analysis
  • Agriculture Sustainability and Environmental Impact
  • Plant nutrient uptake and metabolism
  • Text Readability and Simplification
  • Biocrusts and Microbial Ecology

Eye & ENT Hospital of Fudan University
2025

Fudan University
2025

Guangdong Ocean University
2024-2025

Shanghai Innovative Research Center of Traditional Chinese Medicine
2024-2025

Nanjing University
2020-2025

Union Hospital
2023-2025

Huazhong University of Science and Technology
2019-2025

Gansu University of Traditional Chinese Medicine
2025

117th Hospital of People's Liberation Army
2025

North Sichuan Medical University
2024-2025

Recently, it was shown that the generative adversarial network (GAN) based adversarial-example attacks could thoroughly defeat existing Android malware detection systems. However, they can be easily defended through deploying a firewall (i.e., example detector) to filter examples. To evade both and detection, we develop new attack method on our proposed bi-objective GAN. Experiments show over 95% of examples generated by break firewall-equipped system, outperforming state-of-the-art 247.68%.

10.1109/jsyst.2019.2906120 article EN IEEE Systems Journal 2019-05-21

To combat the spread of antibiotic resistance into environment, we should adequately manage wastewater effluent treatment to achieve simultaneous removal antibiotics, resistant bacteria (ARB), and genes (ARGs). Herein, fabricate a multifunctional electroactive poly(vinylidene fluoride) ultrafiltration membrane (C/PVDF) by phase inversion on conductive carbon cloth. The possesses not only excellent retention toward ARB ARGs but also exhibits high oxidation capacity as an electrode. Notably,...

10.1021/acs.est.2c00268 article EN Environmental Science & Technology 2022-05-25

Salt stress is an important factor affecting the growth and development of rice, prohexadione calcium (Pro-Ca) plays role in alleviating rice salt improving yield. However, there are few studies on how Pro-Ca improves yield under by regulating source–sink metabolism. In this study, we used Guanghong 3 (salt-tolerant variety) Huanghuazhan (salt-sensitive as experimental materials to investigate dynamic changes synthesis partitioning nonstructural carbohydrates among source–sink, related...

10.3390/plants14020211 article EN cc-by Plants 2025-01-13

China is the country with largest wheat planting area in world, and one of two main staple food crops consumed China. Wheat widely cultivated 15 provinces throughout across 3 climate zones including subtropical monsoon zone, temperate zone continental zone. The natural conditions each are different, ways which production system operates different. To ultimately safeguard explore similarities differences input output same under different conditions, emergy method was used to research...

10.1016/j.jclepro.2019.06.251 article EN cc-by-nc-nd Journal of Cleaner Production 2019-07-01

Abstract Large-scale pretrained language models (LLMs), such as ChatGPT and GPT4, have shown strong abilities in multilingual translation, without being explicitly trained on parallel corpora. It is intriguing how the LLMs obtain their ability to carry out translation instructions for different languages. In this paper, we present a detailed analysis by finetuning model, XGLM-7.5B, perform following given instructions. Firstly, show that stronger than previously demonstrated. For certain...

10.1162/tacl_a_00655 article EN cc-by Transactions of the Association for Computational Linguistics 2024-01-01

The conversion of grasslands to croplands is common in the agro-pastoral ecotone and brings potential risks soil health environmental safety. As forming unit structure, status aggregates determines affected by multiple factors. This study investigated changes aggregate main related factors with different managed years. Grassland ages were selected as experimental treatments, which included unmanaged grassland, 3 years, 10 30 50 years since grassland conversion. After conversion, proportion...

10.3390/agriculture12020307 article EN cc-by Agriculture 2022-02-21

A superhydrophobic surface with chemical and long-time stability was fabricated on AZ31 magnesium alloy in a single-step via hydrothermal synthesis to improve corrosion resistance. The as-prepared repelled aqueous solutions static water contact angle of 156.7°, its superhydrophobicity maintained for more than one year. showed anti-icing performance cold environment. electrochemical measurement the coating improved resistance Mg substrate 3.5 wt% NaCl solution. In this study, we sought higher...

10.1149/2.0801605jes article EN cc-by Journal of The Electrochemical Society 2016-01-01

Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4, have shown strong abilities in multilingual translations, without being explicitly trained on parallel corpora. It is interesting how the LLMs obtain their ability to carry out translation instructions for different languages. In this paper, we present a detailed analysis by finetuning pretrained language model, XGLM-7B, perform following given instructions. Firstly, show that stronger than previously demonstrated. For...

10.48550/arxiv.2305.15083 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Aims and objectives To quantitatively compare dimensions of job stressors’ effects on nurses’ burnout. Background Nurses, a key group health service providers, often experience stressors at work. Extensive research has examined the relationship between burnout; however, less specifically compared stressor domains Design A quantitative cross‐sectional survey three general hospitals in Jinan, China. Method Participants were 602 nurses. We five potential ability to predict burnout using...

10.1111/jocn.13754 article EN Journal of Clinical Nursing 2017-02-08
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