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Junn Yong Loo

Identifiers

  • name variant Junn Yong Loo 0.60 · backfill

Papers (15)

  1. Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification cs.LG · 2026 · author #2
  2. Drive As You Like: Strategy-Level Motion Planning Based on A Multi-Head Diffusion Model cs.RO · 2025 · author #6
  3. GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction cs.LG · 2025 · author #3
  4. SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition cs.CV · 2025 · author #3
  5. Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection cs.CV · 2025 · author #3
  6. Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching cs.LG · 2025 · author #1
  7. ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing cs.LG · 2025 · author #4
  8. KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes cs.LG · 2025 · author #5
  9. Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles cs.RO · 2024 · author #5
  10. Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction cs.AI · 2024 · author #5
  11. Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling cs.LG · 2024 · author #1
  12. MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection cs.RO · 2024 · author #2
  13. Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems eess.SY · 2023 · author #1
  14. Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework cs.RO · 2023 · author #2
  15. A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification cs.LG · 2023 · author #2

Mentions

  • 2508.16947 #6 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2508.09227 #3 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2507.10999 #3 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2507.10977 #3 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2504.16262 #1 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2501.02016 #4 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2501.02015 #5 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2411.06087 #5 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2411.06111 #5 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2406.17654 #2 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2306.12361 #1 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2303.01693 #2 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2302.07243 #2 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2407.15238 #1 · arxiv_oai · confidence 0.70 Junn Yong Loo
  • 2605.30387 #2 · arxiv_oai · confidence 0.70 Junn Yong Loo

Frequent Coauthors