Beier Zhu

According to our database, Beier Zhu authored at least 25 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning.

Zhiyuan Han, Beier Zhu, Yanlong Xu, Peipei Song, Xun Yang

CoRR, August, 2025

Detail++: Training-Free Detail Enhancer for Text-to-Image Diffusion Models.

Lifeng Chen, Jiner Wang, Zihao Pan, Beier Zhu, Xiaofeng Yang, Chi Zhang

CoRR, July, 2025

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models.

Beier Zhu, Ruoyu Wang, Tong Zhao, Hanwang Zhang, Chi Zhang

CoRR, July, 2025

Generative Distribution Distillation.

Jiequan Cui, Beier Zhu, Qingshan Xu, Xiaogang Xu, Pengguang Chen, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong

CoRR, July, 2025

Subject-Consistent and Pose-Diverse Text-to-Image Generation.

Zhanxin Gao, Beier Zhu, Liang Yao, Jian Yang, Ying Tai

CoRR, July, 2025

Dynamic Multimodal Prototype Learning in Vision-Language Models.

Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang

CoRR, July, 2025

Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization.

Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang

CoRR, April, 2025

Generalized Kullback-Leibler Divergence Loss.

Jiequan Cui, Beier Zhu, Qingshan Xu, Zhuotao Tian, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong

CoRR, March, 2025

Debiasing vision-language models for vision tasks: a survey.

Beier Zhu, Hanwang Zhang

Frontiers Comput. Sci., January, 2025

Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness.

Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements.

Mingkun Lei, Xue Song, Beier Zhu, Hao Wang, Chi Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens.

Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting.

Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Fine-tuning of Zero-shot Models via Variance Reduction.

Beier Zhu, Jiequan Cui, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Selective Vision-Language Subspace Projection for Few-shot CLIP.

Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness.

Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models.

Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt-aligned Gradient for Prompt Tuning.

Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization.

Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning.

Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification.

Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Structure-Coherent Deep Feature Learning for Robust Face Alignment.

Chunze Lin, Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, Jie Zhou

IEEE Trans. Image Process., 2021

2020

Fast and Accurate: Structure Coherence Component for Face Alignment.

Beier Zhu, Chunze Lin, Quan Wang, Renjie Liao, Chen Qian

CoRR, 2020

2019

Fault Classification for Transmission Lines Based on Group Sparse Representation.

Shenxing Shi, Beier Zhu, Sohrab Mirsaeidi, Xinzhou Dong

IEEE Trans. Smart Grid, 2019

Fault Location for Radial Distribution Network via Topology and Reclosure-Generating Traveling Waves.

Shenxing Shi, Beier Zhu, Aoyu Lei, Xinzhou Dong

IEEE Trans. Smart Grid, 2019