51 results on '"Haibo He"'
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2. Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning.
3. Graph-based Multi-view Learning for Cooperative Spectrum Sensing.
4. A Reinforcement Learning-Based Control Approach for Unknown Nonlinear Systems with Persistent Adversarial Inputs.
5. Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications.
6. Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming.
7. One-Shot Unsupervised Domain Adaptation for Object Detection.
8. Nucleus Neural Network: A Data-driven Self-organized Architecture.
9. One-step Predictive Encoder - Gaussian Segment Model for Time Series Anomaly Detection.
10. Adversarial Domain Adaptation via Category Transfer.
11. Synthetic-to-Real Domain Adaptation for Object Instance Segmentation.
12. Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming.
13. EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning.
14. Residential Energy Management with Deep Reinforcement Learning.
15. Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks.
16. ADL: Active dictionary learning for sparse representation.
17. Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control.
18. A learning based approach for social force model parameter estimation.
19. State space reconstruction from noisy nonlinear time series: An autoencoder-based approach.
20. Detection of false data attacks in smart grid with supervised learning.
21. Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems.
22. Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system.
23. Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning.
24. Probabilistic human mobility model in indoor environment.
25. Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data.
26. Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.
27. A comparative study between motivated learning and reinforcement learning.
28. A boundedness theoretical analysis for GrADP design: A case study on maze navigation.
29. Online learning control based on projected gradient temporal difference and advanced heuristic dynamic programming.
30. Hybrid classification with partial models.
31. Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
32. Frequency control using on-line learning method for island smart grid with EVs and PVs.
33. Robust controller design of continuous-time nonlinear system using neural network.
34. Neural and fuzzy dynamic programming for under-actuated systems.
35. Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming.
36. Feature selection based on sparse imputation.
37. An online actor-critic learning approach with Levenberg-Marquardt algorithm.
38. Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm.
39. DCPE co-training: Co-training based on diversity of class probability estimation.
40. Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels.
41. Toward a Smart Grid: Integration of computational intelligence into Power Grid.
42. MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining.
43. An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning.
44. SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining.
45. SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes.
46. DensityRank: A novel feature ranking method based on kernel estimation.
47. A novel portfolio optimization method for foreign currency investment.
48. Learning from testing data: A new view of incremental semi-supervised learning.
49. ADASYN: Adaptive synthetic sampling approach for imbalanced learning.
50. Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting.
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