@unpublished{gao2025subject,title={Subject-consistent and pose-diverse text-to-image generation},author={Gao, Zhanxin and Zhu, Beier and Yao, Liang and Yang, Jian and Tai, Ying},year={2025},projectpage={https://zhanxin-gao.github.io/CoDi/},}
ICCV
Unsupervised visual chain-of-thought reasoning via preference optimization Application: Visual Reasoning
Kesen Zhao, Beier Zhu^, Qianru Sun, and 1 more author
@inproceedings{zhao2025unsupervised,title={Unsupervised visual chain-of-thought reasoning via preference optimization},author={Zhao, Kesen and Zhu, Beier and Sun, Qianru and Zhang, Hanwang},booktitle={International Conference on Computer Vision},year={2025},projectpage={https://kesenzhao.github.io/my_project/projects/UV-CoT.html}}
ICCV
Distilling parallel gradients for fast ODE solvers of diffusion models Application: Diffusion Generation
Beier Zhu*, Ruoyu Wang*, Tong Zhao, and 2 more authors
@inproceedings{zhu2025distilling,title={Distilling parallel gradients for fast ODE solvers of diffusion models},author={Zhu, Beier and Wang, Ruoyu and Zhao, Tong and Zhang, Hanwang and Zhang, Chi},booktitle={International Conference on Computer Vision},year={2025},}
ICCV
Dynamic Multimodal Prototype Learning in Vision-Language Models Application: VLM Adaptation
Xingyu Zhu, Shuo Wang, Beier Zhu, and 6 more authors
@inproceedings{zhu2025dynamic,title={Dynamic Multimodal Prototype Learning in Vision-Language Models},author={Zhu, Xingyu and Wang, Shuo and Zhu, Beier and Li, Miaoge and Li, Yunfan and Fang, Junfeng and Wang, Zhicai and Wang, Dongsheng and Zhang, Hanwang},booktitle={International Conference on Computer Vision},year={2025},}
FCS
Debiasing vision-language models for vision tasks: a survey Survey
Beier Zhu, and Hanwang Zhang
Frontiers of Computer Science
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
@inproceedings{zhu2025project,title={Project-probe-aggregate: efficient fine-tuning for group robustness},author={Zhu, Beier and Cui, Jiequan and Zhang, Hanwang and Zhang, Chi},booktitle={Computer Vision and Pattern Recognition Conference},year={2025},}
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
@inproceedings{lei2025stylestudio,title={StyleStudio: text-driven style transfer with selective control of style elements},author={Lei, Mingkun and Song, Xue and Zhu, Beier and Wang, Hao and Zhang, Chi},booktitle={Computer Vision and Pattern Recognition Conference},projectpage={https://stylestudio-official.github.io/},year={2025}}
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
@inproceedings{jiang2025devils,title={Devils in middle layers of large vision-language models: Interpreting, detecting and mitigating object hallucinations via attention lens},author={Jiang, Zhangqi and Chen, Junkai and Zhu, Beier and Luo, Tingjin and Shen, Yankun and Yang, Xu},booktitle={Computer Vision and Pattern Recognition Conference},year={2025},}
arXiv
Generalized kullback-leibler divergence loss Theory: Knowledge Distillation
Jiequan Cui, Beier Zhu, Qingshan Xu, and 5 more authors
@unpublished{cui2025generalized,title={Generalized kullback-leibler divergence loss},author={Cui, Jiequan and Zhu, Beier and Xu, Qingshan and Tian, Zhuotao and Qi, Xiaojuan and Yu, Bei and Zhang, Hanwang and Hong, Richang},year={2025},}
2024
Thesis
Towards unbiased, accurate and robust fine-tuning of zero-shot vision models
@inproceedings{zhu2024enhancing,title={Enhancing zero-shot vision models by label-free prompt distribution learning and bias correcting},author={Zhu, Xingyu and Zhu, Beier and Tan, Yi and Wang, Shuo and Hao, Yanbin and Zhang, Hanwang},booktitle={Advances in Neural Information Processing Systems},year={2024}}
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
@inproceedings{zhu2024robust,title={Robust fine-tuning of zero-shot models via variance reduction},author={Zhu, Beier and Cui, Jiequan and Zhang, Hanwang},booktitle={Advances in Neural Information Processing Systems},year={2024}}
MM
Selective vision-language subspace projection for few-shot CLIP Application: VLM Adaptation
Xingyu Zhu*, Beier Zhu*, Yi Tan, and 3 more authors
@inproceedings{zhu2024selective,title={Selective vision-language subspace projection for few-shot CLIP},author={Zhu, Xingyu and Zhu, Beier and Tan, Yi and Wang, Shuo and Hao, Yanbin and Zhang, Hanwang},booktitle={ACM International Conference on Multimedia},year={2024},}
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
@inproceedings{cui2024classes,title={Classes are not equal: an empirical study on image recognition fairness},author={Cui, Jiequan and Zhu, Beier and Wen, Xin and Qi, Xiaojuan and Yu, Bei and Zhang, Hanwang},booktitle={Computer Vision and Pattern Recognition Conference},year={2024},}
2023
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
@inproceedings{zhu2023generalized,title={Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models},author={Zhu, Beier and Tang, Kaihua and Sun, Qianru and Zhang, Hanwang},booktitle={Advances in Neural Information Processing Systems},year={2023},}
AAAI
Debiased fine-tuning for vision-language models by prompt regularization Application: VLM Adaptation
Beier Zhu, Yulei Niu, Saeil Lee, and 2 more authors
@inproceedings{zhu2023debiased,title={Debiased fine-tuning for vision-language models by prompt regularization},author={Zhu, Beier and Niu, Yulei and Lee, Saeil and Hur, Minhoe and Zhang, Hanwang},booktitle={AAAI Conference on Artificial Intelligence},year={2023}}
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
@inproceedings{chen2023leveraging,title={Leveraging modality-specific representations for audio-visual speech recognition via reinforcement learning},author={Chen, Chen and Hu, Yuchen and Zhang, Qiang and Zou, Heqing and Zhu, Beier and Chng, Eng Siong},booktitle={AAAI conference on artificial intelligence},year={2023}}
ICCV
Prompt-aligned gradient for prompt tuning Application: VLM Adaptation
Beier Zhu, Yulei Niu, Yucheng Han, and 2 more authors
@inproceedings{zhu2023prompt,title={Prompt-aligned gradient for prompt tuning},author={Zhu, Beier and Niu, Yulei and Han, Yucheng and Wu, Yue and Zhang, Hanwang},booktitle={International Conference on Computer Vision},year={2023},}
@inproceedings{zhu2022cross,title={Cross-domain empirical risk minimization for unbiased long-tailed classification},author={Zhu, Beier and Niu, Yulei and Hua, Xian-Sheng and Zhang, Hanwang},booktitle={Proceedings of the AAAI conference on artificial intelligence},year={2022}}
2021
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
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
TSG
Fault classification for transmission lines based on group sparse representation Application: Power System
Shenxing Shi, Beier Zhu^, Sohrab Mirsaeidi, and 1 more author