Kai Ye
14 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
🗃️
Keyword Collector
(75)
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
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The Questioner
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Conference Pioneer
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
Core AI
(6)
Learning Types · Machine Learning
(5)
Analysis
(4)
Architectures
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Domain-Specific
(2)
Models
(2)
Optimization
(2)
Keywords
semantic segmentation
(2)
remote sensing
(2)
knowledge distillation
(2)
object detection
(2)
transfer learning
(2)
robot navigation
(1)
open-vocabulary detection
(1)
conformal prediction
(1)
uncertainty quantification
(1)
graph matching
(1)
semi-supervised learning
(1)
feature extraction
(1)
knowledge extraction
(1)
weakly supervised learning
(1)
feature embedding
(1)
image segmentation
(1)
oriented object detection
(1)
machine unlearning
(1)
deep learning
(1)
reinforcement learning
(1)
Papers
A Difference-in-Difference Approach to Detecting AI-Generated Images
CVPR 2026
Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
CVPR 2026
RIS-LAD: A Benchmark and Model for Referring Image Segmentation in Low-Altitude Drone Imagery
AAAI 2026
S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
AAAI 2026
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
AAAI 2025
GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering
ICCV 2025
How Far Are We from True Unlearnability?
ICLR 2025
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
CVPR 2025
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
AAAI 2024
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
MICCAI 2024
Uncertainty Regularized Evidential Regression
AAAI 2024
Learning Visual Prior via Generative Pre-Training
NeurIPS 2023
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation
CVPR 2022
Multi-Robot Active Mapping via Neural Bipartite Graph Matching
CVPR 2022