Zhang Yupei

Computer Science

1. Autoencoder 16%
2. Bayesian Perspective 16%
3. Classification Framework 16%
4. Classification Method 16%
5. Classification Performance 35%
6. Computer Science 22%
7. Contrastive Learning 66%
8. Contrastive Loss 26%
9. Convolutional Neural Network 100%
10. Data Classification 20%
11. Data Representation 26%
12. Deep Knowledge Tracing 33%
13. Deep Learning Model 33%
14. Diagnosis Concept 16%
15. Dictionary Learning 50%
16. Dimensionality Reduction 41%
17. Educational Data Mining 31%
18. ensemble classifier 16%
19. Experimental Result 37%
20. Federated Learning 79%
21. Formal Education 16%
22. Image Classification 50%
23. Image Representation 38%
24. Learning Experiences 20%
25. Learning Framework 27%
26. Learning Performance 41%
27. Learning Process 22%
28. Local Structure 16%
29. Long Short-Term Memory Network 45%
30. Low-Rank Representation 50%
31. Lstm 33%
32. Mathematical Education 16%
33. Matrix Factorization 16%
34. Neighborhood Structure 18%
35. Neural Network 31%
36. nonrigid registration 16%
37. Optimization Problem 29%
38. Prediction Accuracy 31%
39. Prediction Technique 16%
40. Prerequisite Relation 25%
41. Process Data 16%
42. Representation Learning 56%
43. Science Learning 18%
44. Side Information 34%
45. Sparse Representation 27%
46. Sparsity 33%
47. Spatiotemporal Graph 16%
48. Text Classification 50%
49. Traditional Method 25%
50. Ultrasound Image 83%