Yongxiang Liu
11 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (59) 🌈 Renaissance Researcher (5)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(7)
Computer Vision
(6)
Machine Learning
(5)
Domain-Specific
(5)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Analysis
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Processing
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
remote sensing
(3)
unsupervised learning
(2)
pixel difference
(2)
object detection
(2)
image restoration
(2)
semantic segmentation
(2)
k-means clustering
(1)
markov chain monte carlo
(1)
representation learning
(1)
adversarial training
(1)
foundation model
(1)
multispectral imaging
(1)
image super-resolution
(1)
kernel estimation
(1)
oriented bounding box
(1)
image deblurring
(1)
time series forecasting
(1)
hidden markov model
(1)
attention mechanism
(1)
vision transformer
(1)
Papers
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
AAAI 2026
Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception
AAAI 2026
ORSATR-X: A Foundation Model based on Differential-and-Excitation Networks for Optical Remote Sensing Object Recognition
CVPR 2026
RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction
CVPR 2026
Rotation Invariant and Symmetry Aware Pixel Difference Network for Remote Sensing Object Detection
CVPR 2026
Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues
ICCV 2025
When Pixel Difference Patterns Meet ViT: PiDiViT for Few-Shot Object Detection
ICCV 2025
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
CVPR 2024
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
AAAI 2024
Learning to Binarize Continuous Features for Neuro-Rule Networks
IJCAI 2023
Toward Adversarial Training on Contextualized Language Representation
ICLR 2023