Beier Zhu

21 papers · 2022–2026 · 5 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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+4 more ↓

🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (48) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (15)

⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (104)

Venues

CVPR (8) AAAI (5) ICCV (4) NeurIPS (3) ACL (1)

Top co-authors

Hanwang Zhang (15) Shuo Wang (6) Xingyu Zhu (6) Chi Zhang (4) Junfeng Fang (4) Kesen Zhao (3) Jiequan Cui (3) Yulei Niu (3) Qianru Sun (2) Yunfan Li (2)

Research topics

Artificial Intelligence (15) Machine Learning (13) Core AI · Artificial Intelligence (12) Application Areas (7) Computer Vision (6) Deep Learning (6) Optimization & Theory · Machine Learning (5) Core Methods (4) Learning Paradigms (4) Learning Types · Machine Learning (4) Core AI · Computer Vision (3) Learning Types · Deep Learning (3) Analysis (2) Models (2) Optimization & Theory · Deep Learning (2)

Keywords

vision-language model (6) zero-shot learning (4) knowledge distillation (2) transfer learning (2) logit adjustment (2) out-of-distribution generalization (2) domain generalization (2) distribution shift (2) test-time adaptation (2) foundation model (2) diffusion model (2) prompt tuning (2) multimodal learning (2) preference optimization (2) attention mechanism (1) optimal transport (1) few-shot learning (1) prototype learning (1) style transfer (1) image classification (1)

Papers

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation CVPR 2026 Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning CVPR 2026 DEPO: Dual-Efficiency Preference Optimization for LLM Agents AAAI 2026 Few-Step Diffusion Sampling Through Instance-Aware Discretizations CVPR 2026 Hierarchical Semantic Alignment for Image Clustering AAAI 2026 Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation ACL 2026 Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models CVPR 2026 Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens CVPR 2025 Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models ICCV 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models ICCV 2025 Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness CVPR 2025 StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements CVPR 2025 Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization ICCV 2025 Classes Are Not Equal: An Empirical Study on Image Recognition Fairness CVPR 2024 Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NeurIPS 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024 Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization AAAI 2023 Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NeurIPS 2023 Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning AAAI 2023 Prompt-aligned Gradient for Prompt Tuning ICCV 2023 Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification AAAI 2022