76 results on '"Cao, Feilong"'
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2. Construction and approximation rate for feedforward neural network operators with sigmoidal functions
3. An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget
4. Node-personalized multi-graph convolutional networks for recommendation
5. Hierarchical structural graph neural network with local relation enhancement for hyperspectral image classification
6. A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk
7. Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting
8. Triplet teaching graph contrastive networks with self-evolving adaptive augmentation
9. A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation
10. Revisiting graph neural networks from hybrid regularized graph signal reconstruction
11. An iteration-based interactive attention network for 3D point cloud registration
12. A novel method for point cloud completion: Adaptive region shape fusion network
13. Decouple the object: Component-level semantic recognizer for point clouds classification
14. Multi-view graph convolutional networks with attention mechanism
15. Deep multi-graph neural networks with attention fusion for recommendation
16. A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer
17. A stochastic age-structured HIV/AIDS model based on parameters estimation and its numerical calculation
18. Deep neural network compression through interpretability-based filter pruning
19. 3D mixed CNNs with edge-point feature learning
20. Multiscale fused network with additive channel–spatial attention for image segmentation
21. Densely connected network with improved pyramidal bottleneck residual units for super-resolution
22. Deconvolutional neural network for image super-resolution
23. Improved dual-scale residual network for image super-resolution
24. Lightweight multi-scale residual networks with attention for image super-resolution
25. Deep hybrid dilated residual networks for hyperspectral image classification
26. Modeling a stochastic age-structured capital system with Poisson jumps using neural networks
27. A hybrid regularization approach for random vector functional-link networks
28. A Compact Recursive Dense Convolutional Network for image classification
29. Single image super-resolution via multi-scale residual channel attention network
30. Super-resolution using neighbourhood regression with local structure prior
31. Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks
32. Building feedforward neural networks with random weights for large scale datasets
33. Efficient saliency detection using convolutional neural networks with feature selection
34. Distributed support vector machine in master–slave mode
35. A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network
36. Sparse representation for robust face recognition by dictionary decomposition
37. Recovering low-rank and sparse matrix based on the truncated nuclear norm
38. An iterative learning algorithm for feedforward neural networks with random weights
39. A novel decorrelated neural network ensemble algorithm for face recognition
40. A probabilistic learning algorithm for robust modeling using neural networks with random weights
41. Multiscale interpolation on the sphere: Convergence rate and inverse theorem
42. Spherical data fitting by multiscale moving least squares
43. Approximation by network operators with logistic activation functions
44. A novel face recognition method: Using random weight networks and quasi-singular value decomposition
45. An adiabatic quantum algorithm and its application to DNA motif model discovery
46. Quantum artificial neural networks with applications
47. A local learning algorithm for random weights networks
48. A novel approach for fault diagnosis of induction motor with invariant character vectors
49. Extended feed forward neural networks with random weights for face recognition
50. Sparse algorithms of Random Weight Networks and applications
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