Area of research
Computer Vision and Pattern Recognition · Computational Mechanics
Research interest
Research focused on Artificial intelligence and Discriminative model, with related work in Pattern recognition (psychology), Benchmark (surveying), Feature (linguistics). Notable publications include 'Cross-X Learning for Fine-Grained Visual Categorization', 'LiDAR Iris for Loop-Closure Detection', and 'Person Search via a Mask-Guided Two-Stream CNN Model'.
Microbial diversity loss and plant genotype modulates rhizosphere microbial β-diversity to constrain soil functioning
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing
Host genotype‑specific plant microbiome correlates with wheat disease resistance
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
Host genotype-specific rhizosphere protists associate soil-borne viral disease resistance in wheat
Stochastic Non-Autoregressive Transformer-Based Multi-Modal Pedestrian Trajectory Prediction for Intelligent Vehicles
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis
Feature Aggregation and Propagation Network for Camouflaged Object Detection
Intention-Aware Vehicle Trajectory Prediction Based on Spatial-Temporal Dynamic Attention Network for Internet of Vehicles
Neighborhood linear discriminant analysis
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization
LiDAR Iris for Loop-Closure Detection
Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Person Search by Separated Modeling and A Mask-Guided Two-Stream CNN Model
Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration
Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration
Cross-X Learning for Fine-Grained Visual Categorization
Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning
Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning
LiDAR Iris for Loop-Closure Detection
Person Search via a Mask-Guided Two-Stream CNN Model
Robust, discriminative and comprehensive dictionary learning for face recognition
Progressive Hard-Mining Network for Monocular Depth Estimation
A Fast and Accurate Matrix Completion Method Based on QR Decomposition and <inline-formula> <tex-math notation="LaTeX">$L_{2,1}$ </tex-math> </inline-formula>-Norm Minimization
Exploring morphological motifs for a single neuron based on multiple 3D reconstructions
Convolutional Sparse Autoencoders for Image Classification
A Regularization Approach for Instance-Based Superset Label Learning
On Selecting Effective Patterns for Fast Support Vector Regression Training
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise