Hongbin Liu

Computer Science

1. Reinforcement Learning 100%
2. Portfolio Management 100%
3. Learning Framework 62%
4. Recurrent Neural Network 50%
5. Bidirectional Long Short-Term Memory Network 50%
6. Transportation Mode 50%
7. Models 50%
8. Intelligent Traffic Management System 50%
9. Postprocessing 50%
10. Training Model 50%
11. license plate recognition 50%
12. Image Synthesis 50%
13. Recognition Algorithm 50%
14. Generative Adversarial Networks 50%
15. Federated Learning 50%
16. Feature Fusion 50%
17. Discriminator 50%
18. Weather Condition 50%
19. Classifier 33%
20. Extraction Process 33%
21. Feature Extraction 33%
22. Temporal Sequence 25%
23. Data Heterogeneity 20%
24. Machine Translation 16%
25. Embedding 16%
26. Speech Recognition 16%
27. Semantics 16%
28. Classification Framework 16%
29. Preprocessing 16%
30. Trajectory Data 16%
31. Traffic Management 16%
32. External Feature 16%
33. Data Mining 16%
34. Scene Interpretation 16%
35. Experimental Result 12%
36. Contexts 12%
37. Real World 12%
38. Air Pollution 12%
39. Entire Sequence 12%
40. Training Process 12%
41. Target Sequence 12%
42. Temporal Data Mining 12%
43. Term Dependency 12%
44. World Application 12%
45. Spatiotemporal Data 12%
46. Baseline Approach 12%
47. Baseline Method 12%
48. Local Information 12%
49. Deep Reinforcement Learning 12%
50. Global Optimization 12%