Area of research
Statistical and Nonlinear Physics · Computer Vision and Pattern Recognition
Research interest
Research focused on Artificial intelligence and Point cloud, with related work in Cluster analysis, Robustness (evolution), Categorical variable. Notable publications include 'Traffic Flow Prediction via Spatial Temporal Graph Neural Network', 'Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy', and 'SVTR: Scene Text Recognition with a Single Visual Model'.
Context Perception Parallel Decoder for Scene Text Recognition
Instruction-Guided Scene Text Recognition
Attention-based Graph Clustering Network with Dual Information Interaction
Don’t Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
DGFusion: Dual-Guided Fusion for Robust Multi-Modal 3D Object Detection
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection
Attributed graph clustering under the contrastive mechanism with cluster-preserving augmentation
ProtoMGAE: Prototype-Aware Masked Graph Auto-Encoder for Graph Representation Learning
Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy
GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection
VP-Net: Voxels as Points for 3-D Object Detection
VoxelNextFusion: A Simple, Unified, and Effective Voxel Fusion Framework for Multimodal 3-D Object Detection
Deep embedded clustering with distribution consistency preservation for attributed networks
Pathological image super-resolution using mix-attention generative adversarial network
SVTR: Scene Text Recognition with a Single Visual Model
Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions
An Overview of Image-to-Image Translation Using Generative Adversarial Networks
Traffic Flow Prediction via Spatial Temporal Graph Neural Network
Integrated network analysis of symptom clusters across disease conditions
Structure-Aware Deep Learning for Product Image Classification
A generative model for exploring structure regularities in attributed networks
Node Attribute-enhanced Community Detection in Complex Networks
Concept decompositions for short text clustering by identifying word communities
Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering
A disease similarity matrix based on the uniqueness of shared genes
A parameter-free community detection method based on centrality and dispersion of nodes in complex networks
A New Exhaustive Method and Strategy for Finding Motifs in ChIP-Enriched Regions