Area of research
Artificial Intelligence · Civil and Structural Engineering
Research interest
Research interests include Sparse approximation, Artificial intelligence, Pattern recognition (psychology), Classifier (UML), Class (philosophy), and Hypergraph.
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Code semantic enrichment for deep code search
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Improved hypergraph regularized Nonnegative Matrix Factorization with sparse representation
Class specific sparse representation for classification