Hong-Yu Zhou
17 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
ποΈ
Keyword Collector
(64)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Architectures
(4)
Core Methods
(4)
Computer Vision
(3)
Analysis
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Application Areas
(1)
Applications
(1)
Generation
(1)
Keywords
self-supervised learning
(3)
large language model
(2)
transfer learning
(2)
contrastive learning
(2)
representation learning
(2)
few-shot learning
(1)
object detection
(1)
multi-task learning
(1)
domain adaptation
(1)
instruction following
(1)
vision transformer
(1)
visual question answering
(1)
direct preference optimization
(1)
domain generalization
(1)
attention mechanism
(1)
medical imaging
(1)
image captioning
(1)
visual reasoning
(1)
action recognition
(1)
semantic segmentation
(1)
Papers
InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
ACL 2026
BenchReAD: A systematic benchmark for retinal anomaly detection
MICCAI 2025
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
ICLR 2025
No More Sibling Rivalry: Debiasing Human-Object Interaction Detection
ICCV 2025
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation
MICCAI 2024
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
MLHC 2024
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
MICCAI 2024
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
MICCAI 2024
Activate and Reject: Towards Safe Domain Generalization under Category Shift
ICCV 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
ICLR 2023
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
NeurIPS 2023
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
ICLR 2023
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning
CVPR 2022
Bottom-Up Shift and Reasoning for Referring Image Segmentation
CVPR 2021
Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts
ICCV 2021
Age Estimation Using Expectation of Label Distribution Learning
IJCAI 2018
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
ICCV 2017