Tianyang Wang
15 papers · 2021–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(10)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(5)
Computer Vision
(5)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Models
(4)
Analysis
(3)
Core AI
(3)
Domain-Specific
(3)
Optimization & Theory
(3)
Core Methods
(2)
Techniques
(2)
Healthcare & Medicine
(1)
Keywords
active learning
(4)
low-rank adaptation
(3)
semantic segmentation
(2)
domain adaptation
(2)
parameter-efficient fine-tuning
(2)
road damage detection
(2)
adversarial robustness
(1)
semi-supervised learning
(1)
image classification
(1)
transfer learning
(1)
multimodal learning
(1)
feature extraction
(1)
information bottleneck
(1)
object detection
(1)
variational inference
(1)
preference optimization
(1)
data augmentation
(1)
few-shot learning
(1)
self-supervised learning
(1)
video generation
(1)
Papers
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis
WACV 2026
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
AAAI 2026
fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
CVPR 2026
Learning Straight Flows: Variational Flow Matching for Efficient Generation
CVPR 2026
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
ACL 2026
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
WACV 2026
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
WACV 2026
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
IJCAI 2025
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
ICCV 2025
Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models
EMNLP 2025
CryoSAM: Training-free CryoET Tomogram Segmentation with Foundation Models
MICCAI 2024
Deep Active Learning with Noise Stability
AAAI 2024
Towards Inadequately Pre-trained Models in Transfer Learning
ICCV 2023
Boosting Active Learning via Improving Test Performance
AAAI 2022
Semi-Supervised Active Learning With Temporal Output Discrepancy
ICCV 2021