Baosheng Yu
25 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(18)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Computer Vision
(7)
Analysis
(7)
Artificial Intelligence
(6)
Application Areas
(5)
Architectures
(5)
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Learning Types Β· Deep Learning
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Optimization & Theory
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Natural Language Processing
(2)
Applications
(2)
Keywords
graph neural network
(4)
contrastive learning
(3)
representation learning
(2)
deep neural network
(2)
semantic segmentation
(2)
domain adaptation
(2)
long-tailed distribution
(2)
attention mechanism
(2)
human-object interaction detection
(2)
foundation model
(2)
self-supervised learning
(2)
anomaly detection
(1)
variational inference
(1)
domain generalization
(1)
active learning
(1)
false discovery rate
(1)
embedding learning
(1)
semi-supervised learning
(1)
3d reconstruction
(1)
object detection
(1)
Papers
Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
ACL 2026
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
AAAI 2026
Remodeling Semantic Relationships in Vision-Language Fine-Tuning
AAAI 2026
Bi-Level Optimization for Self-Supervised AI-Generated Face Detection
ICCV 2025
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models
IJCAI 2024
Visual Relationship Transformation
ECCV 2024
Knowledge-Aware Federated Active Learning with Non-IID Data
ICCV 2023
Learnable Skeleton-Aware 3D Point Cloud Sampling
CVPR 2023
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning
CVPR 2022
Contrastive Boundary Learning for Point Cloud Segmentation
CVPR 2022
Discovering Human-Object Interaction Concepts via Self-Compositional Learning
ECCV 2022
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
ECCV 2022
Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers
CVPR 2022
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
ECCV 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
AAAI 2022
Affordance Transfer Learning for Human-Object Interaction Detection
CVPR 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
NeurIPS 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
CVPR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation
CVPR 2021
Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search
ICCV 2021
SynFace: Face Recognition With Synthetic Data
ICCV 2021
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
ICCV 2021
Unsupervised Domain Adaptation on Reading Comprehension
AAAI 2020
Deep Metric Learning With Tuplet Margin Loss
ICCV 2019
Correcting the Triplet Selection Bias for Triplet Loss
ECCV 2018