Zhu, Beier

23 publications

ICLR 2026 CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation Zhanxin Gao, Beier Zhu, Liangyao, Jian Yang, Ying Tai

ICLR 2026 Free Lunch for Stabilizing Rectified Flow Inversion Chenru Wang, Beier Zhu, Chi Zhang

ICLR 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

ICLR 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, Xiangnan He

ICLR 2026 Real-Time Motion-Controllable Autoregressive Video Diffusion Kesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang

ICLR 2026 Reducing Class-Wise Performance Disparity via Margin Regularization Beier Zhu, Kesen Zhao, Jiequan Cui, Qianru Sun, Yuan Zhou, Xun Yang, Hanwang Zhang

ICLR 2026 Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime! Junbao Zhou, Yuan Zhou, Kesen Zhao, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang

NeurIPS 2025 Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling Ruoyu Wang, Beier Zhu, Junzhi Li, Liangyu Yuan, Chi Zhang

CVPR 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

ICCV 2025 Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models Beier Zhu, Ruoyu Wang, Tong Zhao, Hanwang Zhang, Chi Zhang

ICCV 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

NeurIPS 2025 Enhancing CLIP Robustness via Cross-Modality Alignment Xingyu Zhu, Beier Zhu, Shuo Wang, Kesen Zhao, Hanwang Zhang

CVPR 2025 Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang

CVPR 2025 StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements Mingkun Lei, Xue Song, Beier Zhu, Hao Wang, Chi Zhang

ICCV 2025 Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang

CVPR 2024 Classes Are Not Equal: An Empirical Study on Image Recognition Fairness Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang

NeurIPS 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

NeurIPS 2024 Robust Fine-Tuning of Zero-Shot Models via Variance Reduction Beier Zhu, Jiequan Cui, Hanwang Zhang

AAAI 2023 Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang

NeurIPS 2023 Generalized Logit Adjustment: Calibrating Fine-Tuned Models by Removing Label Bias in Foundation Models Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang

AAAI 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

ICCV 2023 Prompt-Aligned Gradient for Prompt Tuning Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang

AAAI 2022 Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang