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)

Fault Classification for Transmission Lines Based on Group Sparse Representation. - Shenxing Shi; Beier Zhu; Sohrab Mirsaeidi; Xinzhou Dong (IEEE Trans. Smart Grid, 2019)

Fast and Accurate: Structure Coherence Component for Face Alignment. - Beier Zhu; Chunze Lin; Quan Wang; Renjie Liao; Chen Qian 006 (CoRR, 2020)

Structure-Coherent Deep Feature Learning for Robust Face Alignment. - Chunze Lin; Beier Zhu; Quan Wang; Renjie Liao; Chen Qian 006; Jiwen Lu; Jie Zhou 001 (IEEE Trans. Image Process., 2021)

Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. - Beier Zhu; Yulei Niu; Xian-Sheng Hua 001; Hanwang Zhang (AAAI, 2022)

Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning. - Chen Chen 075; Yuchen Hu; Qiang Zhang; Heqing Zou; Beier Zhu; Eng Siong Chng (AAAI, 2023)

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

Prompt-aligned Gradient for Prompt Tuning. - Beier Zhu; Yulei Niu; Yucheng Han; Yue Wu; Hanwang Zhang (ICCV, 2023)

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

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. - Jiequan Cui; Beier Zhu; Xin Wen 004; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang (CVPR, 2024)

Selective Vision-Language Subspace Projection for Few-shot CLIP. - Xingyu Zhu; Beier Zhu; Yi Tan 001; Shuo Wang 008; Yanbin Hao; Hanwang Zhang (ACM Multimedia, 2024)

Robust Fine-tuning of Zero-shot Models via Variance Reduction. - Beier Zhu; Jiequan Cui; Hanwang Zhang (NeurIPS, 2024)

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting. - Xingyu Zhu; Beier Zhu; Yi Tan 001; Shuo Wang 008; Yanbin Hao; Hanwang Zhang (NeurIPS, 2024)

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 (CVPR, 2025)

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

Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. - Beier Zhu; Jiequan Cui; Hanwang Zhang; Chi Zhang 067 (CVPR, 2025)

Debiasing vision-language models for vision tasks: a survey. - Beier Zhu; Hanwang Zhang (Frontiers Comput. Sci., 2025)

Generalized Kullback-Leibler Divergence Loss. - Jiequan Cui; Beier Zhu; Qingshan Xu 001; Zhuotao Tian; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang; Richang Hong (CoRR, 2025)

Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization. - Kesen Zhao; Beier Zhu; Qianru Sun; Hanwang Zhang (CoRR, 2025)

Dynamic Multimodal Prototype Learning in Vision-Language Models. - Xingyu Zhu; Shuo Wang 008; Beier Zhu; Miaoge Li; Yunfan Li; Junfeng Fang; Zhicai Wang; Dongsheng Wang 003; Hanwang Zhang (CoRR, 2025)

Subject-Consistent and Pose-Diverse Text-to-Image Generation. - Zhanxin Gao; Beier Zhu; Liang Yao; Jian Yang; Ying Tai (CoRR, 2025)

Generative Distribution Distillation. - Jiequan Cui; Beier Zhu; Qingshan Xu 001; Xiaogang Xu 002; Pengguang Chen; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang; Richang Hong (CoRR, 2025)

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models. - Beier Zhu; Ruoyu Wang; Tong Zhao; Hanwang Zhang; Chi Zhang 067 (CoRR, 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, 2025)

Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning. - Zhiyuan Han; Beier Zhu; Yanlong Xu; Peipei Song; Xun Yang 001 (CoRR, 2025)