CHIU Hon Wing Billy, Prof.

Computer Science

1. Named Entity Recognition 100%
2. Word Embedding 100%
3. Text Classification 66%
4. Multitask Learning 50%
5. Scientific Paper 50%
6. Heterogeneous Graph 50%
7. Global Feature 44%
8. Learning Approach 40%
9. Neural Network 40%
10. Graph Framework 38%
11. Educational Game 33%
12. Document Clustering 33%
13. Graph Neural Network 33%
14. Trustworthiness Prediction 33%
15. Design Pattern 33%
16. Reading Experience 33%
17. Correlation Graph 33%
18. Natural Language Processing 33%
19. Graph Construction 33%
20. Content Creation 33%
21. Knowledge Graph 33%
22. Biomedical Literature 33%
23. Event Extraction 33%
24. Text To Speech 33%
25. Text Segmentation 33%
26. Surrogate-Assisted Evolutionary Algorithm 33%
27. Inequality Constraint 33%
28. Equality Constraint 33%
29. User Preference 33%
30. Elicitation 33%
31. Collaborative Filtering 33%
32. World Application 33%
33. Experimental Result 25%
34. Autoencoder 22%
35. Extension Level 22%
36. Training Data 22%
37. local feature 22%
38. Deep Understanding 22%
39. Domains 20%
40. Domain Adaptation 16%
41. Seq2Seq 16%
42. Design Requirement 16%
43. Data Requirement 16%
44. Multimodality 16%
45. Perform Experiment 16%
46. Instance Level 16%
47. Text Processing 16%
48. Distribution Level 16%
49. Architectural Choice 16%
50. Interaction Graph 16%