Xinyang Chen
18 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Keyword Collector
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Research topics
Machine Learning
(16)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(8)
Deep Learning
(8)
Core Methods
(8)
Application Areas
(6)
Core AI
(6)
Data Science & Analytics
(4)
Learning Types Β· Deep Learning
(4)
Methods
(4)
Learning Paradigms
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Models
(2)
Techniques
(2)
Keywords
transfer learning
(4)
vision-language model
(3)
representation learning
(3)
domain adaptation
(3)
adversarial learning
(3)
multivariate time series
(2)
curriculum learning
(2)
time series forecasting
(2)
singular value decomposition
(2)
cross-modal learning
(1)
medical imaging
(1)
self-supervised learning
(1)
noisy label learning
(1)
pseudo labeling
(1)
adversarial domain adaptation
(1)
model selection
(1)
feature representation
(1)
progressive learning
(1)
matrix factorization
(1)
deep regression
(1)
Papers
Boosting Visual Reprogramming for CLIP with Dual Granularity Alignment
CVPR 2026
Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models
AAAI 2026
SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking
ACL 2026
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
AAAI 2026
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
AAAI 2025
A Survey on the Feedback Mechanism of LLM-based AI Agents
IJCAI 2025
Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification
ICCV 2025
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
AAAI 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
ICML 2025
Boosting Transferability and Discriminability for Time Series Domain Adaptation
NeurIPS 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation
NeurIPS 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
NeurIPS 2024
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
ICML 2024
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
ICLR 2022
Representation Subspace Distance for Domain Adaptation Regression
ICML 2021
Progressive Adversarial Networks for Fine-Grained Domain Adaptation
CVPR 2020
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
NeurIPS 2019
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
ICML 2019