Yi Shan
19 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (44)
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Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
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Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(10)
Computer Vision
(7)
Analysis · Computer Vision
(7)
Core Methods
(6)
Learning Types
(6)
Artificial Intelligence
(5)
Core AI
(5)
Application Areas
(3)
Architectures
(3)
Domain-Specific
(3)
Healthcare & Medicine
(2)
Speech & Audio
(2)
Analysis · Speech & Audio
(2)
Clinical
(2)
Keywords
autonomous driving
(4)
semantic segmentation
(3)
multi-view multi-label classification
(2)
object detection
(2)
contrastive learning
(2)
linear predictive coding
(2)
image segmentation
(1)
optimal transport
(1)
representation learning
(1)
unsupervised domain adaptation
(1)
scene understanding
(1)
attention mechanism
(1)
domain adaptation
(1)
point cloud
(1)
feature embedding
(1)
trajectory prediction
(1)
person re-identification
(1)
human pose estimation
(1)
vision transformer
(1)
image classification
(1)
Papers
DF^2-VB: Dual-level Fuzzy Fusion with View-specific Boosting for Multi-view Multi-label Classification
CVPR 2026
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
AAAI 2026
SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
ACL 2026
Accessible Delivery of Visual-Acoustic Biofeedback for Speech Sound Disorder
Interspeech 2025
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
IJCAI 2025
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection
CVPR 2025
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
ICML 2025
Web-Based Application for Real-Time Biofeedback of Vocal Resonance in Gender-Affirming Voice Training: Design and Usability Evaluation
Interspeech 2025
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling
CVPR 2024
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection
ECCV 2024
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
AAAI 2022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
CVPR 2022
Dynamic Sparse R-CNN
CVPR 2022
Improving Low-Precision Network Quantization via Bin Regularization
ICCV 2021
RankDetNet: Delving Into Ranking Constraints for Object Detection
CVPR 2021
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification
ICCV 2021
Dual Super-Resolution Learning for Semantic Segmentation
CVPR 2020
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
AAAI 2020
ProgressFace: Scale-Aware Progressive Learning for Face Detection
ECCV 2020