Yuhang Li

ORCID: 0009-0005-6856-2098
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Research Areas
  • Ammonia Synthesis and Nitrogen Reduction
  • Electrocatalysts for Energy Conversion
  • Thermochemical Biomass Conversion Processes
  • Catalysis and Hydrodesulfurization Studies
  • Catalytic Processes in Materials Science
  • Advanced Photocatalysis Techniques
  • Catalysis for Biomass Conversion
  • Nanomaterials for catalytic reactions
  • Advanced battery technologies research
  • Subcritical and Supercritical Water Processes
  • Generative Adversarial Networks and Image Synthesis
  • Face recognition and analysis
  • Advanced Image Processing Techniques
  • High-Temperature Coating Behaviors
  • Advanced Chemical Sensor Technologies
  • Analytical Chemistry and Chromatography
  • Recycling and Waste Management Techniques
  • Supercapacitor Materials and Fabrication
  • Nuclear Materials and Properties
  • Catalysts for Methane Reforming
  • Ionic liquids properties and applications
  • Caching and Content Delivery
  • Environmental remediation with nanomaterials
  • Marine Biology and Ecology Research
  • Electrochemical Analysis and Applications

Shaanxi University of Science and Technology
2022-2025

Universidad del Noreste
2024-2025

East China University of Science and Technology
2025

Shanghai Jiao Tong University
2025

College of Medical Sciences
2025

Heilongjiang University of Chinese Medicine
2025

Fuzhou University
2024

Guangzhou Institute of Energy Conversion
2022-2024

China Jiliang University
2024

Chinese Academy of Sciences
2016-2024

In this paper, we explore the task of generating photo-realistic face images from lines. Previous methods based on conditional generative adversarial networks (cGANs) have shown their power to generate visually plausible when a image and an output share well-aligned structures. However, these models fail synthesize with whole set well-defined structures, e.g. eyes, noses, mouths, etc., especially line map lacks one or several parts. To address problem, propose self-attention network...

10.1145/3343031.3350854 article EN Proceedings of the 30th ACM International Conference on Multimedia 2019-10-15

The electrochemical nitrogen reduction reaction (eNRR) has emerged as a promising strategy for green ammonia synthesis. However, it suffers unsatisfactory performance owing to the low aqueous solubility of N2 in solution, high dissociation energy N≡N, and unavoidable competing hydrogen evolution (HER). Herein, MIL-53(Fe)@TiO2 catalyst is designed synthesized highly efficient eNRR. Relative simple MIL-53(Fe), achieves 2-fold enhancement Faradaic efficiency (FE) with an improved yield rate by...

10.1021/acs.langmuir.3c04025 article EN Langmuir 2024-03-04

Neutrophil extracellular traps (NETs) is the key means for neutrophils to resist bacterial invasion. Sepsis a systemic inflammatory response syndrome caused by infection. In our study, qRT-PCR was used detect gene expression in neutrophils, Western blot protein mouse tissues and flow cytometry purity of whole blood immunofluorescence NETs formation. this we analyzed formation patients with sepsis. The results showed that large number appeared. And GPR109A sepsis significantly up regulated....

10.1186/s40164-023-00376-4 article EN cc-by Experimental Hematology and Oncology 2023-01-31

In this paper, we explore the task of generating photo-realistic face images from hand-drawn sketches. Existing image-to-image translation methods require a large-scale dataset paired sketches and for supervision. They typically utilize synthesized edge maps as training data. However, these strictly align with edges corresponding images, which limit their generalization ability to real vast stroke diversity. To address problem, propose DeepFacePencil, an effective tool that is able generate...

10.1145/3394171.3413684 article EN Proceedings of the 30th ACM International Conference on Multimedia 2020-10-12

The existing literature has been summarized and synthesized, providing a new outlook for the preparation of 2-methyltetrahydrofuran from biomass substrates using precious non-precious metal catalysts.

10.1039/d2gc00759b article EN Green Chemistry 2022-01-01

Developing low-cost, environmentally friendly and efficient non-precious metal electrocatalysts as alternatives to noble metals for the hydrogen evolution reaction (HER) is highly essential sustainable advancement of green energy. Herein, a novel heterostructured Ni3P/Ni nanoparticle anchored in nitrogen-doped mesoporous carbon nanofibers (Ni3P/Ni@N-CNFs) prepared by facile solid-phase calcination protocol. The results demonstrated that benefiting from intensive electronic coupling effect at...

10.1039/d2nr04053k article EN Nanoscale 2022-01-01

Functionalized ionic liquids (ILs) show great potential in the application of fuel gas desulfurization. Herein, we report synthesis and function two new 1,1,3,3-tetramethylguanidine-based ILs (TMG-based ILs), 1,1,3,3-tetramethylguanidine methoxyacetate ([TMG][MOAc]) ethoxyacetate ([TMG][EOAc]). As contrast, traditional TMG-based ILs, tetrafluoroborate ([TMG][BF4]) acetate ([TMG][Ac]) were synthesized. [TMG][EOAc] exhibited highest SO2 capacity (10.33 mol·kg–1 during which solubility was...

10.1021/acs.iecr.1c03859 article EN Industrial & Engineering Chemistry Research 2022-03-28

Abstract Clonal hematopoiesis (CH) is an early indicator of hematologic malignancies, driven by mutations in hematopoietic stem cells (HSCs) such as TET2 or TP53. Mutations ZBTB33 have been implicated MDS and suggested a potential driver CH. However, the role its involvement CH remains unclear. We generated Zbtb33 -knockout mouse strain to elucidate immune system. Our findings indicate that -defecient mice appeared grossly normal, competitive bone marrow transplantation assays demonstrated...

10.1101/2025.04.10.648125 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2025-04-16
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