Xuan Gong
19 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Computer Vision
(9)
Deep Learning
(9)
Application Areas
(6)
Core AI
(6)
Domain-Specific
(6)
Analysis
(4)
Learning Types
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Models
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Core Methods
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Optimization & Theory
(3)
Generation
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Learning Paradigms Β· Machine Learning
(2)
Keywords
knowledge distillation
(3)
federated learning
(3)
zero-shot learning
(2)
medical imaging
(2)
whole slide image
(2)
3d vision
(2)
vision-language model
(2)
domain adaptation
(1)
deformable convolution
(1)
metric learning
(1)
visual question answering
(1)
multimodal learning
(1)
attention mechanism
(1)
human perception
(1)
chain-of-thought reasoning
(1)
multi-instance learning
(1)
data augmentation
(1)
cross-domain learning
(1)
model distillation
(1)
ensemble learning
(1)
Papers
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
CVPR 2026
Textured Geometry Evaluation: Perceptual 3D Textured Shape Metric via 3D Latent-Geometry Network
AAAI 2026
VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision
ACL 2026
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
CVPR 2025
PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
ICCV 2025
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration
ICLR 2025
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
EMNLP 2024
Federated Learning via Input-Output Collaborative Distillation
AAAI 2024
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
CVPR 2024
Progressive Multi-View Human Mesh Recovery with Self-Supervision
AAAI 2023
PREF: Predictability Regularized Neural Motion Fields
ECCV 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
AAAI 2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
ECCV 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration
WACV 2022
Deformable Gabor Feature Networks for Biomedical Image Classification
WACV 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning
ICCV 2021
Style Consistent Image Generation for Nuclei Instance Segmentation
WACV 2021
Anti-Bandit Neural Architecture Search for Model Defense
ECCV 2020
Long-Short Graph Memory Network for Skeleton-based Action Recognition
WACV 2020