Beier Zhu
17 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
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Keywords
vision-language model
(5)
zero-shot learning
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preference optimization
(2)
transfer learning
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out-of-distribution generalization
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knowledge distillation
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distribution shift
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foundation model
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prompt tuning
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logit adjustment
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domain generalization
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optimal transport
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few-shot learning
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attention mechanism
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style transfer
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image classification
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Papers
Hierarchical Semantic Alignment for Image Clustering
AAAI 2026
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
ACL 2026
DEPO: Dual-Efficiency Preference Optimization for LLM Agents
AAAI 2026
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
CVPR 2025
StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements
CVPR 2025
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
CVPR 2025
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization
ICCV 2025
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
ICCV 2025
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
NIPS 2024
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
CVPR 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
NIPS 2024
Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning
AAAI 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
NIPS 2023
Prompt-aligned Gradient for Prompt Tuning
ICCV 2023
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization
AAAI 2023
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification
AAAI 2022