Area of research
Artificial Intelligence · Renewable Energy, Sustainability and the Environment
Research interest
Research focused on Cluster analysis and Graph, with related work in Diazo, Facet (psychology), Methanation. Notable publications include 'COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting', 'Carbene-Mediated Polymer Cross-Linking with Diazo Compounds by C–H Activation and Insertion', and 'Redundancy-Free Self-Supervised Relational Learning for Graph Clustering'.
Oxygen-Driven Atom Transfer Radical Polymerization
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges
Hierarchical Bi/Bi <sub>2</sub> O <sub>3</sub> heterostructures with robust oxygen vacancies for efficient electrochemical CO <sub>2</sub> reduction to formate
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Crystal facet engineering of CeO2-supported Cu sites and efficient anodic coupling for enhanced electrocatalytic CO2 reduction to CH4
Monodispersed Cu sites assembled on ultrathin 2D C3N4 for efficient electrocatalytic CO2 methanation
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Carbene-Mediated Polymer Cross-Linking with Diazo Compounds by C–H Activation and Insertion