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Chee-Ming Ting

Identifiers

  • name variant Chee-Ming Ting 0.60 · backfill

Papers (28)

  1. Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification cs.LG · 2026 · author #9
  2. Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching cs.LG · 2025 · author #8
  3. SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation cs.CV · 2025 · author #7
  4. ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing cs.LG · 2025 · author #5
  5. KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes cs.LG · 2025 · author #6
  6. PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices cs.CV · 2024 · author #4
  7. Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling cs.LG · 2024 · author #5
  8. Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization eess.IV · 2024 · author #1
  9. CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation cs.CV · 2024 · author #2
  10. ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation cs.CV · 2023 · author #2
  11. BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection cs.CV · 2023 · author #2
  12. RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection cs.CV · 2023 · author #2
  13. CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer cs.CV · 2023 · author #2
  14. A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification cs.LG · 2023 · author #3
  15. Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation cs.LG · 2022 · author #2
  16. Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification q-bio.NC · 2021 · author #2
  17. BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data stat.AP · 2021 · author #2
  18. Markov-Switching State-Space Models with Applications to Neuroimaging stat.ME · 2021 · author #2
  19. Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI q-bio.NC · 2021 · author #1
  20. Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach cs.LG · 2020 · author #1
  21. Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network cs.LG · 2019 · author #2
  22. Statistical Model for Dynamically-Changing Correlation Matrices with Application to Brain Connectivity q-bio.NC · 2018 · author #3
  23. Short-segment heart sound classification using an ensemble of deep convolutional neural networks cs.SD · 2018 · author #2
  24. Modeling Brain Connectivity with Graphical Models on Frequency Domain stat.AP · 2018 · author #3
  25. A Markov-Switching Model Approach to Heart Sound Segmentation and Classification eess.SP · 2018 · author #3
  26. Multi-Scale Factor Analysis of High-Dimensional Brain Signals stat.AP · 2017 · author #1
  27. Estimating Time-Varying Effective Connectivity in High-Dimensional fMRI Data Using Regime-Switching Factor Models stat.AP · 2017 · author #1
  28. Exploratory Analysis of High Dimensional Time Series with Applications to Multichannel Electroencephalograms stat.AP · 2016 · author #2

Mentions

  • 2504.16262 #8 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2410.21822 #4 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2501.07055 #7 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2501.02016 #5 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2501.02015 #6 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2401.16928 #1 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2302.07243 #3 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2309.12585 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2401.16886 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2306.14590 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2407.15238 #5 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2312.06458 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2107.12838 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2307.16412 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2212.05316 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2004.04362 #1 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2107.09160 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2106.05092 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2102.10331 #1 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1903.08858 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1810.11573 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1809.03395 #3 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1705.06502 #1 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1812.10050 #3 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1701.06754 #1 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1810.03279 #3 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 1610.07684 #2 · arxiv_oai · confidence 0.70 Chee-Ming Ting
  • 2605.30387 #9 · arxiv_oai · confidence 0.70 Chee-Ming Ting

Frequent Coauthors