Area of research
Oncology · Pathology and Forensic Medicine
Research interest
Research interests include Colorectal Cancer Screening and Detection, Colorectal Cancer Surgical Treatments, Genetic factors in colorectal cancer, and Esophageal Cancer Research and Treatment.
Pola-R-CHP in previously untreated low-risk (IPI 0-1) DLBCL: A nationwide multicenter retrospective study in China
Expression profiles and bioinformatic analysis of microRNAs in myocardium of diabetic cardiomyopathy mice
<i>SLAMF8</i> expression predicts the efficacy of anti‐PD1 immunotherapy in gastrointestinal cancers
HLA-DR Expression Level in CD8+ T Cells Correlates With the Severity of Children With Acute Infectious Mononucleosis
Pathologic <scp>T1</scp> and <scp>T2</scp> encapsulated invasive carcinomas arising from mucinous cystic neoplasms of the pancreas have favorable prognosis and might be treated conservatively
Nasal DNA methylation profiling of asthma and rhinitis
Band Structure, Band Offsets, and Intrinsic Defect Properties of Few-Layer Arsenic and Antimony
Treg Cells Promote the SREBP1-Dependent Metabolic Fitness of Tumor-Promoting Macrophages via Repression of CD8+ T Cell-Derived Interferon-γ
SFRP2/DPP4 and FMO1/LSP1 Define Major Fibroblast Populations in Human Skin
An epigenome-wide association study of total serum IgE in Hispanic children
Astrocyte elevated gene-1 promotes tumour growth and invasion by inducing EMT in oral squamous cell carcinoma
Protective mechanisms of microRNA-27a against oxygen-glucose deprivation-induced injuries in hippocampal neurons
Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis
A non-secretory form of FAM3B promotes invasion and metastasis of human colon cancer cells by upregulating Slug expression
Collaborative Research: PPoSS: LARGE: Principles and Infrastructure of Extreme Scale Edge Learning for Computational Screening and Surveillance for Health Care
CAREER: Trustworthy Machine Learning from Untrusted Models
Collaborative Research: PPoSS: LARGE: Principles and Infrastructure of Extreme Scale Edge Learning for Computational Screening and Surveillance for Health Care
CAREER: Trustworthy Machine Learning from Untrusted Models
III: Small: Usable Interpretability
SaTC: CORE: Small: Attack-Agnostic Defenses against Adversarial Inputs in Learning Systems
III: Small: Usable Interpretability
CAREER: Trustworthy Machine Learning from Untrusted Models
SaTC: CORE: Small: Attack-Agnostic Defenses against Adversarial Inputs in Learning Systems
CRII: SaTC: Re-Envisioning Contextual Services and Mobile Privacy in the Era of Deep Learning
Using Optical Scintillation to Measure Snow Parameters
Engineering Initiation Award: Effects of Curvature, Pressure, Gradient, and Freestream Turbulence on Reynolds Analogy in Transitional Boundary Layer Flow