计算机学院

Computer Science

1. Action Recognition 6%
2. Adversarial Machine Learning 9%
3. Annotation 14%
4. Appearance Model 6%
5. Art Performance 10%
6. Artificial Intelligence 6%
7. Attention (Machine Learning) 20%
8. Bidirectional Encoder Representations From Transformers 5%
9. Big Data 5%
10. Blockchain 6%
11. Classification Task 5%
12. Classifier 13%
13. Clustering Algorithm 6%
14. Complex Networks 6%
15. Computer Vision 6%
16. Context Information 5%
17. Contrastive Learning 7%
18. Convolutional Neural Network 28%
19. Data Augmentation 6%
20. de-noising 6%
21. Decision-Making 6%
22. Deep Learning 23%
23. Deep Neural Network 12%
24. Deep Reinforcement Learning 6%
25. delay-tolerant network 5%
26. Detection Method 9%
27. Discriminator 5%
28. Domain Adaptation 6%
29. Energy Efficient 8%
30. Evaluation Result 6%
31. Experimental Result 100%
32. Face Recognition 5%
33. Feature Extraction 11%
34. Feature Fusion 7%
35. Feature Space 6%
36. Federated Learning 5%
37. Generative Adversarial Networks 9%
38. Good Performance 5%
39. Granularity 5%
40. Graph Convolutional Network 7%
41. Graph Neural Network 8%
42. Hashing 5%
43. Hyperspectral Image 10%
44. Image Classification 5%
45. Image Retrieval 5%
46. Image Segmentation 12%
47. Internet of Things 7%
48. Knowledge Base 8%
49. Language Modeling 11%
50. Learning Approach 5%
51. Learning Framework 11%
52. local feature 7%
53. Long Short-Term Memory Network 6%
54. Machine Learning 12%
55. Machine Translation 8%
56. Malware 5%
57. Named Entity Recognition 5%
58. Natural Language Processing 8%
59. Neural Network 14%
60. Object Detection 8%
61. Pose Estimation 7%
62. Recommender Systems 5%
63. Refactoring 5%
64. Regularization 6%
65. Reinforcement Learning 7%
66. Representation Learning 13%
67. Robot 8%
68. Sentiment Analysis 8%
69. Social Media 5%
70. Social Network 13%
71. Source Codes 7%
72. Subgraphs 9%
73. super resolution 5%
74. Superior Performance 5%
75. Support Vector Machine 10%
76. Support Vector Machine 6%
77. Syntactics 5%
78. Text Classification 6%
79. Tracking Algorithm 7%
80. Tracking Method 5%
81. Tracking Object 7%
82. Training Data 8%
83. Transfer Learning 5%
84. Video Sequences 5%
85. Word Embedding 5%

Engineering

1. Computer Simulation 6%
2. Convolutional Neural Network 9%
3. Deep Learning 10%
4. Demonstrates 20%
5. Energy Engineering 10%
6. Engineering 5%
7. Experimental Result 44%
8. Feature Extraction 8%
9. Filtration 8%
10. Genetic Algorithm 5%
11. Hyperspectral Image 5%
12. Joints (Structural Components) 6%
13. Limitations 7%
14. Metrics 5%
15. Multiscale 6%
16. Nodes 9%
17. Obtains 8%
18. Robot 7%
19. Similarities 12%
20. Simulation Result 8%
21. State-of-the-Art Method 7%
22. Tasks 26%