Jiayong Liu

ORCID: 0000-0001-5605-3695
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About
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Research Areas
  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Natural Language Processing Techniques
  • Hormonal Regulation and Hypertension
  • Virus-based gene therapy research
  • Viral Infectious Diseases and Gene Expression in Insects
  • Structural Analysis and Optimization
  • Receptor Mechanisms and Signaling
  • GDF15 and Related Biomarkers
  • S100 Proteins and Annexins
  • Domain Adaptation and Few-Shot Learning
  • Bone Metabolism and Diseases
  • CAR-T cell therapy research
  • Estrogen and related hormone effects

Peking University Cancer Hospital
2025

Peking University
2025

Hunan University of Traditional Chinese Medicine
2025

Sichuan University
2023

Background Intratumoral oncolytic herpes simplex virus 2-GM CSF (OH2) injection has shown safety and antitumor efficacy in patients with solid tumors. Here, we examined the of OH2 as a single agent or combination HX008, an NMPA-approved PD-1 inhibitor, locally advanced metastatic sarcoma patients. Methods This multicenter, phase 1/2 trial enrolled injectable lesions, who had failed at least 1 more lines standard treatment. Patients were treated three dose levels (10 6 , 10 7 8 CCID 50 /mL)...

10.1136/jitc-2024-010543 article EN cc-by-nc-nd Journal for ImmunoTherapy of Cancer 2025-01-01

Controlling the generative model to adapt a new domain with limited samples is difficult challenge and it receiving increasing attention. Recently, methods based on meta-learning have shown promising results for few-shot adaptation. However, meta-learning-based usually suffer from problem of overfitting, which in lack diversity generated texts. To avoid this problem, study, novel framework reinforcement learning (RL) proposed. In framework, increase sample utilization RL decrease its...

10.48550/arxiv.2111.11030 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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