Yuyang Zhou

ORCID: 0009-0004-1255-557X
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About
Contact & Profiles
Research Areas
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Crystallography and molecular interactions
  • Multimodal Machine Learning Applications
  • Neurological Disease Mechanisms and Treatments
  • MicroRNA in disease regulation
  • Cancer, Hypoxia, and Metabolism
  • Higher Education and Teaching Methods
  • Advanced Algorithms and Applications
  • RNA and protein synthesis mechanisms
  • Human Pose and Action Recognition
  • Advanced Control Systems Optimization
  • Text and Document Classification Technologies
  • Immune Cell Function and Interaction
  • T-cell and B-cell Immunology
  • Fault Detection and Control Systems
  • Innovative Educational Techniques
  • Engineering Education and Curriculum Development
  • Microbial Metabolic Engineering and Bioproduction
  • Cancer Research and Treatments
  • Metabolism and Genetic Disorders
  • Immunotherapy and Immune Responses
  • Bacterial Genetics and Biotechnology
  • Liver Disease Diagnosis and Treatment
  • Cancer-related molecular mechanisms research

Hefei University of Technology
2024

Institute of Art
2024

China Academy of Information and Communications Technology
2024

University of Georgia
2023

Army Medical University
2010-2018

Follicular helper CD4+ T (TFH) cells are critical for optimal B-cell-mediated humoral immunity by initiating, fueling and sustaining germinal center reactions. The differentiation of TFH relies on multiple intrinsic extrinsic factors; however, the details which these factors integrated to coordinate largely unknown. In this study, using a mouse model acute LCMV viral infection, we demonstrate that mTORC2 kinase integrates TCR signaling ICOS-mediated co-stimulation promote late functional...

10.3389/fimmu.2018.01127 article EN cc-by Frontiers in Immunology 2018-05-23

Multimedia-based recommendation provides personalized item suggestions by learning the content preferences of users.With proliferation digital devices and APPs, a huge number new items are created rapidly over time.How to quickly provide recommendations for at inference time is challenging.What's worse, real-world exhibit varying degrees modality missing (e.g., many short videos uploaded without text descriptions).Though efforts have been devoted multimedia-based recommendations, they either...

10.1145/3626772.3658596 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2024-07-10

Transcriptional factors-based biosensors are commonly used in metabolic engineering for inducible control of gene expression and related applications such as high-throughput screening dynamic pathway regulations. Mining novel transcriptional factors is essential expanding the usability these toolsets. Here, we report identification, characterization, a phenolic acid responsive regulator PadR from Bacillus amyloliquefaciens (BaPadR). This BaPadR-based biosensor system showed unique ligand...

10.1021/acssynbio.3c00206 article EN cc-by ACS Synthetic Biology 2023-07-27

Steam temperature is a critical parameter to the efficient operational of steam turbines in coal-fired power plant. The conventional Proportional-Integral-Differential (PID) control method difficult achieve satisfied performance this application because challenges significant time delay and dynamic disturbances from combustion fluctuation boiler. technologies particle swarm optimization (PSO) based model identification matrix (DMC) predictive are proposed overcome these paper. These methods...

10.1109/icpec.2013.6527710 article EN 2013-02-01

Project-based teaching, generally speaking, is a teaching activity to cultivate the ability of various professional posts through joint implementation complete project. Students solve problems in corresponding situations group cooperation, so as strengthen their understanding what they have learned. In research project-based curriculum implementation, many factors and variables are involved, among which study learning mode has not been but it very important. Based on curriculum, this paper...

10.23977/aetp.2023.070908 article EN cc-by Advances in Educational Technology and Psychology 2023-01-01

In this work, we present MoConVQ, a novel unified framework for physics-based motion control leveraging scalable discrete representations. Building upon vector quantized variational autoencoders (VQ-VAE) and model-based reinforcement learning, our approach effectively learns embeddings from large, unstructured dataset spanning tens of hours examples. The resultant representation not only captures diverse skills but also offers robust intuitive interface various applications. We demonstrate...

10.48550/arxiv.2310.10198 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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