Gangmin Li

Computer Science

1. Models 100%
2. Big Data 33%
3. User 29%
4. Records 24%
5. Language Modeling 21%
6. Bidirectional Encoder Representations From Transformers 21%
7. Machine Learning 20%
8. Medical Diagnosis 17%
9. Data Ingestion 15%
10. Accuracy 13%
11. Lambda Architecture 13%
12. Intents 13%
13. Bidirectional Long Short-Term Memory Network 13%
14. Named Entity Recognition 13%
15. Convolutional Neural Network 13%
16. Embedding 13%
17. Model 11%
18. Diagnosis 10%
19. Change Pattern 10%
20. Electronic Medical Record 9%
21. Relationships 9%
22. Events 9%
23. Domain Knowledge 9%
24. Domains 9%
25. Personal Relation 6%
26. Trend Analysis 6%
27. Common Sense Knowledge 6%
28. Graph Convolutional Network 6%
29. Natural-Language Understanding 6%
30. Root Cause Analysis 6%
31. Vectors 6%
32. Multiple-Criteria Decision Analysis 6%
33. Heterogeneous Data 6%
34. Data Performance 6%
35. Memory Model 6%
36. multi agent 6%
37. Web Application 6%
38. Analytics 6%
39. Gradient Boosting 6%
40. Deep Neural Network 6%
41. Dynamic Pricing 6%
42. Abstractive Summarization 6%
43. Attention (Machine Learning) 6%
44. Detection 6%
45. Data Stream Processing 6%
46. Medical Knowledge 6%
47. Stream Processing Platform 6%
48. Summary Statistic 6%
49. Text Classification 6%
50. Privacy Algorithm 6%