Tao Tan
35 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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(14)
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Research topics
Deep Learning
(9)
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Learning Types Β· Machine Learning
(5)
Core Methods
(4)
Models
(4)
Analysis
(3)
Application Areas
(3)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Optimization
(2)
Keywords
self-supervised learning
(2)
remote photoplethysmography
(2)
deep reinforcement learning
(1)
zero-shot learning
(1)
semantic segmentation
(1)
adversarial learning
(1)
temporal modeling
(1)
optimal transport
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
pose estimation
(1)
function approximation
(1)
curriculum learning
(1)
action recognition
(1)
reinforcement learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
multimodal learning
(1)
combinatorial optimization
(1)
Papers
Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
ACL 2026
FLOW: Optimal Transport-Driven Feature Warping for Generalized Remote Physiological Measurement
CVPR 2026
HiFi-Mesh: High-Fidelity Efficient 3D Mesh Generation via Compact Autoregressive Dependence
AAAI 2026
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence
AAAI 2026
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
AAAI 2026
PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement
CVPR 2026
SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition
AAAI 2026
ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis
MICCAI 2025
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
MICCAI 2025
BiMSRec: A Progressive Image Reconstruction Framework for Medical Image Fusion Guided by Multi-Scale Deformation Fields
MICCAI 2025
CΒ²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images
MICCAI 2025
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
MICCAI 2025
FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement
MICCAI 2025
MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
MICCAI 2025
MoEdit: On Learning Quantity Perception for Multi-object Image Editing
CVPR 2025
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation
CVPR 2025
Paired Image Generation with Diffusion-Guided Diffusion Models
MICCAI 2025
RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation
MICCAI 2025
Region-Based Text-Consistent Augmentation for Multimodal Medical Segmentation
MICCAI 2025
SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
MICCAI 2025
SAMASK-CLTR: A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
MICCAI 2025
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
MICCAI 2025
TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Models
MICCAI 2025
Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI
MICCAI 2025
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
MICCAI 2025
Adaptive Order Q-learning
IJCAI 2024
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
MICCAI 2024
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
ACL 2024
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
EMNLP 2024
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
MICCAI 2024
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
MICCAI 2024
Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment
MICCAI 2024
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
CVPR 2023
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth
MIDL 2019
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks
CVPR 2019