Area of research
Computer Vision and Pattern Recognition · Computer Networks and Communications
Research interest
Research focused on Coal and Rank (graph theory), with related work in Chromatography, Pascal (unit), Artificial intelligence. Notable publications include 'PCL: Proposal Cluster Learning for Weakly Supervised Object Detection', 'Infrared spectroscopic evaluation for catalytic hydrogenation of biomass and coal using unsupervised and supervised algorithms', and 'Robust Subspace Discovery via Relaxed Rank Minimization'.
Elucidation of the structural features of low-rank coals using two-dimensional gas chromatography/time-of-flight mass spectrometry (GC×GC/TOF-MS)
Infrared spectroscopic evaluation for catalytic hydrogenation of biomass and coal using unsupervised and supervised algorithms
Advanced separation of soluble organic matter in a low-rank coal and evaluation using unsupervised analyses
Advanced Separation of Soluble Organic Matter in a Low-Rank Coal and Evaluation Using Unsupervised Analyses
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Robust Subspace Discovery via Relaxed Rank Minimization