189 results on '"Jun, Qi"'
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2. OmniMotionGPT: Animal Motion Generation with Limited Data.
3. Zero-shot High-fidelity and Pose-controllable Character Animation.
4. A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction.
5. Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging.
6. Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals.
7. An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors.
8. Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition.
9. BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion.
10. Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search.
11. Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver.
12. Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.
13. EEG-based Anxiety Detection with Feature Selection.
14. High-Fidelity Clothed Avatar Reconstruction from a Single Image.
15. POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery.
16. FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER.
17. Machine Learning-based EEG Signal Classification of Parkinson's Disease.
18. Graph Pattern Matching Based Intelligent Operation and Maintenance Method for Cloud Resource Operation.
19. Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.
20. Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression.
21. IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare.
22. Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.
23. Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment.
24. Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent.
25. Machine Learning-based Gesture Recognition Using Wearable Devices.
26. Data Removal from an AUC Optimization Model.
27. Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients.
28. Exploiting Hybrid Models of Tensor-Train Networks For Spoken Command Recognition.
29. When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
30. Classical-To-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks.
31. Planning Paths through Occlusions in Urban Environments.
32. Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection.
33. An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition.
34. Fast Provably Robust Decision Trees and Boosting.
35. Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection.
36. Knowledge-Enriched Distributional Model Inversion Attacks.
37. AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries.
38. Automatic classification of EEG signals via deep learning.
39. Analysis on the Influencing Factors of College Students' Mental Health Based on Data Mining.
40. Mixed-Energy Fleet Pollution-Routing Problem with Time Windows.
41. Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
42. Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.
43. Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA.
44. Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning.
45. A Unified Multi-Scenario Attacking Network for Visual Object Tracking.
46. Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement.
47. Performance Analysis for Tensor-Train Decomposition to Deep Neural Network Based Vector-to-Vector Regression.
48. Rotation Equivariant Graph Convolutional Network for Spherical Image Classification.
49. Transformation GAN for Unsupervised Image Synthesis and Representation Learning.
50. WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning.
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