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An Effective Two-stage Training Paradigm Detector for Small Dataset
Learning from the limited amount of labeled data to the pre-train model has always been viewed as a challenging task.
Multi-objective optimization of actuation waveform for high-precision drop-on-demand inkjet printing
Drop-on-demand (DOD) inkjet printing has been considered as one of promising technologies for the fabrication of advanced functional materials.
Instant Graph Neural Networks for Dynamic Graphs
With the development of numerous GNN variants, recent years have witnessed groundbreaking results in improving the scalability of GNNs to work on static graphs with millions of nodes.
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