Area of research
Cognitive Neuroscience · Epidemiology
Research interest
Research interests include Autism Spectrum Disorder Research, Pneumonia and Respiratory Infections, Insect Resistance and Genetics, and Insect-Plant Interactions and Control.
First‐line serplulimab plus chemotherapy in extensive‐stage small‐cell lung cancer: Updated results and biomarker analysis from the ASTRUM‐005 randomized clinical trial
Carbon Dot- and Curcumin Dye-Based Dual-Emission Fluorescence Ratiometric Probes for Rapid Smartphone Detection of Brilliant Blue in Food
Structure–function coupling changes in first-episode, treatment-naïve schizophrenia correlate with cell type-specific transcriptional signature
Functional gradient dysfunction in drug-naïve first-episode schizophrenia and its correlation with specific transcriptional patterns and treatment predictions
Abstract 6390: Exploratory biomarker analysis of phase 3 ASTRUM-005 study: Serplulimab versus placebo plus chemotherapy for extensive-stage small cell lung cancer
Effect of GLP-1RA on diabetes retinopathy with blood glucose variation at different levels of baseline HbAlc– A systematic review and meta-analysis
Cortical structural changes of morphometric similarity network in early-onset schizophrenia correlate with specific transcriptional expression patterns
Transcriptional patterns of the cortical Morphometric Inverse Divergence in first-episode, treatment-naïve early-onset schizophrenia
Inhibitive Effect of Resveratrol on the Inflammation in Cultured Astrocytes and Microglia Induced by Aβ1–42
Ghrelin inhibits high glucose-induced 16HBE cells apoptosis by regulating Wnt/β-catenin pathway
CAREER: Computationally Illuminating the Molecular Interplay between N-glycosylation and Ion Channel Gating
CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
FET: CCF: Small: Computational Drug Prediction through Joint Learning
CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources
RAPID:Genomic Variation Analysis of Coronavirus to Better Understand the Spread of COVID-19
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
AF: Small: Homogeneous and Heterogeneous Network Learning with Applications in Computational Biology
Developing Highly Luminescent Materials for Low-Cost and Energy-Efficient Lighting Applications
EARS: Enhancing Spectrum Efficiency of Autonomous and Agile Hybrid FSO/RF Systems
Crystalline Hybrid Semiconductors: A systematic Approach to Develop Nanostructured Materials with Enhanced Properties and New Functionality
CAREER: Transfer Learning Based Quality Improvement in Spatially-Temporally Complex Systems
A Conference on New Frontiers in Numerical Analysis and Scientific Computing