Xin Xie
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Learning Types Β· Machine Learning
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Artificial Intelligence
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Computer Vision
(3)
Natural Language Processing
(3)
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(1)
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image generation
(2)
relation extraction
(2)
federated learning
(2)
unsupervised learning
(1)
zero-shot learning
(1)
semantic segmentation
(1)
contrastive learning
(1)
few-shot learning
(1)
data augmentation
(1)
model selection
(1)
network architecture
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independent component analysis
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scene understanding
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style transfer
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embedding learning
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knowledge extraction
(1)
attention mechanism
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preference alignment
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feature learning
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Papers
CATNet: Collaborative Alignment and Transformation Network for Cooperative Perception
CVPR 2026
FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement
CVPR 2026
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
CVPR 2025
Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation
IJCAI 2025
Learned HDR Image Compression for Perceptually Optimal Storage and Display
ECCV 2024
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
IJCAI 2024
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
IJCNLP 2023
Artistic Style Discovery With Independent Components
CVPR 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
IJCAI 2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
EMNLP 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
EMNLP 2022
Document-level Relation Extraction as Semantic Segmentation
IJCAI 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning
SemEval 2021