Beier Zhu

According to our database, Beier Zhu authored at least 49 papers between 2019 and 2026.

Collaborative distances:

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

2026

Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals.

Sirui Chen, Lei Xu, Yuying Zhao, Yutian Chen, Yu Wang, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu

CoRR, May, 2026

PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning.

Sudong Wang, Weiquan Huang, Xiaomin Yu, Zuhao Yang, Hehai Lin, Keming Wu, Chaojun Xiao, Chen Chen, Wenxuan Wang, Beier Zhu, Yunjian Zhang, Chengwei Qin

CoRR, April, 2026

Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models.

Xingyu Zhu, Beier Zhu, Shuo Wang, Junfeng Fang, Kesen Zhao, Hanwang Zhang, Xiangnan He

CoRR, March, 2026

Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning.

Xingyu Zhu, Liang Yi, Shuo Wang, Wenbo Zhu, Yonglinag Wu, Beier Zhu, Hanwang Zhang

CoRR, March, 2026

MuSteerNet: Human Reaction Generation from Videos via Observation-Reaction Mutual Steering.

Yuan Zhou, Yongzhi Li, Yanqi Dai, Xingyu Zhu, Yi Tan, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang

CoRR, March, 2026

Few-Step Diffusion Sampling Through Instance-Aware Discretizations.

Liangyu Yuan, Ruoyu Wang, Tong Zhao, Dingwen Fu, Mingkun Lei, Beier Zhu, Chi Zhang

CoRR, March, 2026

DyWeight: Dynamic Gradient Weighting for Few-Step Diffusion Sampling.

Tong Zhao, Mingkun Lei, Liangyu Yuan, Yanming Yang, Chenxi Song, Yang Wang, Beier Zhu, Chi Zhang

CoRR, March, 2026

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation.

Bo Xu, Haotian Wu, Hehai Lin, Weiquan Huang, Beier Zhu, Yao Shu, Chengwei Qin

CoRR, March, 2026

Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation.

Xingyu Zhu, Kesen Zhao, Liang Yi, Shuo Wang, Zhicai Wang, Beier Zhu, Hanwang Zhang

CoRR, February, 2026

GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models.

Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He

CoRR, February, 2026

Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought.

Kesen Zhao, Beier Zhu, Junbao Zhou, Xingyu Zhu, Zhongqi Yue, Hanwang Zhang

CoRR, February, 2026

Free Lunch for Stabilizing Rectified Flow Inversion.

Chenru Wang, Beier Zhu, Chi Zhang

CoRR, February, 2026

Reducing Class-Wise Performance Disparity via Margin Regularization.

Beier Zhu, Kesen Zhao, Jiequan Cui, Qianru Sun, Yuan Zhou, Xun Yang, Hanwang Zhang

CoRR, February, 2026

AMA: Adaptive Memory via Multi-Agent Collaboration.

Weiquan Huang, Zixuan Wang, Hehai Lin, Sudong Wang, Bo Xu, Qian Li, Beier Zhu, Linyi Yang, Chengwei Qin

CoRR, January, 2026

Hybrid Granularity Distribution Estimation for Few-Shot Learning: Statistics Transfer From Categories and Instances.

Shuo Wang, Tianyu Qi, Xingyu Zhu, Yanbin Hao, Beier Zhu, Hanwang Zhang, Meng Wang

IEEE Trans. Image Process., 2026

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models.

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

IEEE Trans. Image Process., 2026

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation.

Xingyu Zhu, Junfeng Fang, Shuo Wang, Beier Zhu, Zhicai Wang, Yonghui Yang, Xiangnan He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Hierarchical Semantic Alignment for Image Clustering.

Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DEPO: Dual-Efficiency Preference Optimization for LLM Agents.

Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Parallel Diffusion Solver via Residual Dirichlet Policy Optimization.

Ruoyu Wang, Ziyu Li, Beier Zhu, Liangyu Yuan, Hanwang Zhang, Xun Yang, Xiaojun Chang, Chi Zhang

CoRR, December, 2025

Enhancing CLIP Robustness via Cross-Modality Alignment.

Xingyu Zhu, Beier Zhu, Shuo Wang, Kesen Zhao, Hanwang Zhang

CoRR, October, 2025

Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling.

Ruoyu Wang, Beier Zhu, Junzhi Li, Liangyu Yuan, Chi Zhang

CoRR, October, 2025

Real-Time Motion-Controllable Autoregressive Video Diffusion.

Kesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang

CoRR, October, 2025

Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!

Junbao Zhou, Yuan Zhou, Kesen Zhao, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang

CoRR, October, 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

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

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

Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning.

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models.

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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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 37: 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 37: 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