Selected Publications

(*) and (^) denote equal contribution and corresponding authorship.

You can find full list of my publications and recent works on my Google Scholar.

2026

  1. AAAI
    Hierarchical semantic alignment for image clustering   Application: Image Clustering
    Xingyu Zhu, Beier Zhu, Yunfan Li, and 4 more authors
    In AAAI Conference on Artificial Intelligence
  2. AAAI
    DEPO: Dual-efficiency preference optimization for LLM agents   Application: LLM Agent
    Sirui Chen, Mengshi Zhao, Lei Xu, and 5 more authors
    In AAAI Conference on Artificial Intelligence

2025

  1. NeurIPS
    Adaptive stochastic coefficients for accelerating diffusion sampling   Theory: Diffusion Solver
    Ruoyu Wang*Beier Zhu*, Junzhi Li, and 2 more authors
    In Advances in Neural Information Processing Systems
  2. NeurIPS
    Enhancing CLIP robustness via cross-modality alignment   Application: VLM Adaptation
    Xingyu Zhu, Beier Zhu, Shuo Wang, and 2 more authors
    In Advances in Neural Information Processing Systems
    Spotlight
  3. arXiv
    Subject-consistent and pose-diverse text-to-image generation   Application: Diffusion Generation
    Zhanxin Gao, Beier Zhu, Liang Yao, and 2 more authors
  4. ICCV
    Unsupervised visual chain-of-thought reasoning via preference optimization   Application: Visual Reasoning
    Kesen Zhao, Beier Zhu^, Qianru Sun, and 1 more author
    In International Conference on Computer Vision
  5. ICCV
    Distilling parallel gradients for fast ODE solvers of diffusion models   Theory: Diffusion Solver
    Beier Zhu*, Ruoyu Wang*, Tong Zhao, and 2 more authors
    In International Conference on Computer Vision
  6. ICCV
    Dynamic Multimodal Prototype Learning in Vision-Language Models   Application: VLM Adaptation
    Xingyu Zhu, Shuo Wang, Beier Zhu, and 6 more authors
    In International Conference on Computer Vision
  7. FCS
    Debiasing vision-language models for vision tasks: a survey   Survey
    Beier Zhu, and Hanwang Zhang
    Frontiers of Computer Science
  8. CVPR
    Project-probe-aggregate: efficient fine-tuning for group robustness   Theory: Group Robustness
    Beier Zhu, Jiequan Cui, Hanwang Zhang, and 1 more author
    In Computer Vision and Pattern Recognition Conference
    Highlight
  9. CVPR
    StyleStudio: text-driven style transfer with selective control of style elements   Application: Diffusion Generation
    Mingkun Lei, Xue Song, Beier Zhu, and 2 more authors
    In Computer Vision and Pattern Recognition Conference
  10. CVPR
    Devils in middle layers of large vision-language models: Interpreting, detecting and mitigating object hallucinations via attention lens   Application: Hallucination Mitigation
    Zhangqi Jiang, Junkai Chen, Beier Zhu, and 3 more authors
    In Computer Vision and Pattern Recognition Conference
  11. arXiv
    Generalized kullback-leibler divergence loss   Theory: Knowledge Distillation
    Jiequan Cui, Beier Zhu, Qingshan Xu, and 5 more authors

2024

  1. Thesis
    Towards unbiased, accurate and robust fine-tuning of zero-shot vision models  
    Zhu Beier
  2. NeurIPS
    Enhancing zero-shot vision models by label-free prompt distribution learning and bias correcting   Theory: Imbalanced Learning
    Xingyu Zhu*Beier Zhu*, Yi Tan, and 3 more authors
    In Advances in Neural Information Processing Systems
    Spotlight
  3. NeurIPS
    Robust fine-tuning of zero-shot models via variance reduction   Theory: OOD Generalization
    Beier Zhu, Jiequan Cui, and Hanwang Zhang
    In Advances in Neural Information Processing Systems
  4. MM
    Selective vision-language subspace projection for few-shot CLIP   Application: VLM Adaptation
    Xingyu Zhu*Beier Zhu*, Yi Tan, and 3 more authors
    In ACM International Conference on Multimedia
    Oral
  5. CVPR
    Classes are not equal: an empirical study on image recognition fairness   Application: Classification Fairness
    Jiequan Cui, Beier Zhu, Xin Wen, and 3 more authors
    In Computer Vision and Pattern Recognition Conference

2023

  1. NeurIPS
    Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models   Theory: Imbalanced Learning
    Beier Zhu, Kaihua Tang, Qianru Sun, and 1 more author
    In Advances in Neural Information Processing Systems
  2. AAAI
    Debiased fine-tuning for vision-language models by prompt regularization   Application: VLM Adaptation
    Beier Zhu, Yulei Niu, Saeil Lee, and 2 more authors
    In AAAI Conference on Artificial Intelligence
    Oral
  3. AAAI
    Leveraging modality-specific representations for audio-visual speech recognition via reinforcement learning   Application: Speech Recognition
    Chen Chen, Yuchen Hu, Qiang Zhang, and 3 more authors
    In AAAI conference on artificial intelligence
    Oral
  4. ICCV
    Prompt-aligned gradient for prompt tuning   Application: VLM Adaptation
    Beier Zhu, Yulei Niu, Yucheng Han, and 2 more authors
    In International Conference on Computer Vision

2022

  1. AAAI
    Cross-domain empirical risk minimization for unbiased long-tailed classification   Theory: Imbalanced Learning
    Beier Zhu, Yulei Niu, Xian-Sheng Hua, and 1 more author
    In Proceedings of the AAAI conference on artificial intelligence
    Oral

2021

  1. TIP
    Structure-coherent deep feature learning for robust face alignment   Application: Face Alignment
    Chunze Lin*Beier Zhu*, Quan Wang, and 4 more authors
    IEEE Transactions on Image Processing

2019

  1. TSG
    Fault location for radial distribution network via topology and reclosure-generating traveling waves   Application: Power System
    Shenxing Shi, Beier Zhu^, Aoyu Lei, and 1 more author
    IEEE Transactions on Smart Grid

2018

  1. TSG
    Fault classification for transmission lines based on group sparse representation   Application: Power System
    Shenxing Shi, Beier Zhu^, Sohrab Mirsaeidi, and 1 more author
    IEEE Transactions on Smart Grid