Beier Zhu - RankMe

60 papers A* 15Journal 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation. CoRR Bo Xu, Haotian Wu, Hehai Lin, Weiquan Huang, Beier Zhu, Yao Shu, Chengwei Qin
2026	J	`jnl`	AMA: Adaptive Memory via Multi-Agent Collaboration. CoRR Weiquan Huang, Zixuan Wang, Hehai Lin, Sudong Wang, Bo Xu, Qian Li, Beier Zhu, Linyi Yang, Chengwei Qin
2026	J	`jnl`	Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning. CoRR Xingyu Zhu, Liang Yi, Shuo Wang, Wenbo Zhu, Yonglinag Wu, Beier Zhu, Hanwang Zhang
2026	A*	`conf`	DEPO: Dual-Efficiency Preference Optimization for LLM Agents. AAAI Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
2026	J	`jnl`	DyWeight: Dynamic Gradient Weighting for Few-Step Diffusion Sampling. CoRR Tong Zhao, Mingkun Lei, Liangyu Yuan, Yanming Yang, Chenxi Song, Yang Wang, Beier Zhu, Chi Zhang
2026	J	`jnl`	Few-Step Diffusion Sampling Through Instance-Aware Discretizations. CoRR Liangyu Yuan, Ruoyu Wang, Tong Zhao, Dingwen Fu, Mingkun Lei, Beier Zhu, Chi Zhang
2026	J	`jnl`	Free Lunch for Stabilizing Rectified Flow Inversion. CoRR Chenru Wang, Beier Zhu, Chi Zhang
2026	J	`jnl`	GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models. CoRR Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He
2026	A*	`conf`	Hierarchical Semantic Alignment for Image Clustering. AAAI Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang
2026	J	`jnl`	Hybrid Granularity Distribution Estimation for Few-Shot Learning: Statistics Transfer From Categories and Instances. IEEE Trans. Image Process. Shuo Wang, Tianyu Qi, Xingyu Zhu, Yanbin Hao, Beier Zhu, Hanwang Zhang, Meng Wang
2026	J	`jnl`	Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation. CoRR Xingyu Zhu, Kesen Zhao, Liang Yi, Shuo Wang, Zhicai Wang, Beier Zhu, Hanwang Zhang
2026	J	`jnl`	MuSteerNet: Human Reaction Generation from Videos via Observation-Reaction Mutual Steering. CoRR Yuan Zhou, Yongzhi Li, Yanqi Dai, Xingyu Zhu, Yi Tan, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang
2026	J	`jnl`	Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models. CoRR Xingyu Zhu, Beier Zhu, Shuo Wang, Junfeng Fang, Kesen Zhao, Hanwang Zhang, Xiangnan He
2026	J	`jnl`	Reducing Class-Wise Performance Disparity via Margin Regularization. CoRR Beier Zhu, Kesen Zhao, Jiequan Cui, Qianru Sun, Yuan Zhou, Xun Yang, Hanwang Zhang
2026	J	`jnl`	Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought. CoRR Kesen Zhao, Beier Zhu, Junbao Zhou, Xingyu Zhu, Zhongqi Yue, Hanwang Zhang
2025	J	`jnl`	Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling. CoRR Ruoyu Wang, Beier Zhu, Junzhi Li, Liangyu Yuan, Chi Zhang
2025	A*	`conf`	Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning. ACM Multimedia Zhiyuan Han, Beier Zhu, Yanlong Xu, Peipei Song, Xun Yang
2025	J	`jnl`	Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning. CoRR Zhiyuan Han, Beier Zhu, Yanlong Xu, Peipei Song, Xun Yang
2025	J	`jnl`	DEPO: Dual-Efficiency Preference Optimization for LLM Agents. CoRR Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
2025	J	`jnl`	Debiasing vision-language models for vision tasks: a survey. Frontiers Comput. Sci. Beier Zhu, Hanwang Zhang
2025	J	`jnl`	Detail++: Training-Free Detail Enhancer for Text-to-Image Diffusion Models. CoRR Lifeng Chen, Jiner Wang, Zihao Pan, Beier Zhu, Xiaofeng Yang, Chi Zhang
2025	A*	`conf`	Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens. CVPR Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang
2025	J	`jnl`	Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models. CoRR Beier Zhu, Ruoyu Wang, Tong Zhao, Hanwang Zhang, Chi Zhang
2025	J	`jnl`	Dynamic Multimodal Prototype Learning in Vision-Language Models. CoRR Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang
2025	J	`jnl`	Enhancing CLIP Robustness via Cross-Modality Alignment. CoRR Xingyu Zhu, Beier Zhu, Shuo Wang, Kesen Zhao, Hanwang Zhang
2025	J	`jnl`	Generalized Kullback-Leibler Divergence Loss. CoRR Jiequan Cui, Beier Zhu, Qingshan Xu, Zhuotao Tian, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong
2025	J	`jnl`	Generative Distribution Distillation. CoRR Jiequan Cui, Beier Zhu, Qingshan Xu, Xiaogang Xu, Pengguang Chen, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong
2025	J	`jnl`	Hierarchical Semantic Alignment for Image Clustering. CoRR Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang
2025	J	`jnl`	Parallel Diffusion Solver via Residual Dirichlet Policy Optimization. CoRR Ruoyu Wang, Ziyu Li, Beier Zhu, Liangyu Yuan, Hanwang Zhang, Xun Yang, Xiaojun Chang, Chi Zhang
2025	A*	`conf`	Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. CVPR Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang
2025	J	`jnl`	Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness. CoRR Beier Zhu, Jiequan Cui, Hanwang Zhang, Chi Zhang
2025	J	`jnl`	Real-Time Motion-Controllable Autoregressive Video Diffusion. CoRR Kesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang
2025	J	`jnl`	Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime! CoRR Junbao Zhou, Yuan Zhou, Kesen Zhao, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang
2025	A*	`conf`	StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements. CVPR Mingkun Lei, Xue Song, Beier Zhu, Hao Wang, Chi Zhang
2025	J	`jnl`	Subject-Consistent and Pose-Diverse Text-to-Image Generation. CoRR Zhanxin Gao, Beier Zhu, Liang Yao, Jian Yang, Ying Tai
2025	J	`jnl`	Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization. CoRR Kesen Zhao, Beier Zhu, Qianru Sun, Hanwang Zhang
2024	A*	`conf`	Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CVPR Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang
2024	J	`jnl`	Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CoRR Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang
2024	J	`jnl`	Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens. CoRR Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang
2024	A*	`conf`	Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting. NeurIPS Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang
2024	J	`jnl`	Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting. CoRR Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang
2024	A*	`conf`	Robust Fine-tuning of Zero-shot Models via Variance Reduction. NeurIPS Beier Zhu, Jiequan Cui, Hanwang Zhang
2024	J	`jnl`	Robust Fine-tuning of Zero-shot Models via Variance Reduction. CoRR Beier Zhu, Jiequan Cui, Hanwang Zhang
2024	A*	`conf`	Selective Vision-Language Subspace Projection for Few-shot CLIP. ACM Multimedia Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang
2024	J	`jnl`	Selective Vision-Language Subspace Projection for Few-shot CLIP. CoRR Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang
2024	J	`jnl`	StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements. CoRR Mingkun Lei, Xue Song, Beier Zhu, Hao Wang, Chi Zhang
2023	A*	`conf`	Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. AAAI Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang
2023	J	`jnl`	Debiased Fine-Tuning for Vision-language Models by Prompt Regularization. CoRR Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang
2023	A*	`conf`	Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. NeurIPS Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang
2023	J	`jnl`	Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. CoRR Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang
2023	A*	`conf`	Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning. AAAI Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng
2023	A*	`conf`	Prompt-aligned Gradient for Prompt Tuning. ICCV Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang
2022	A*	`conf`	Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. AAAI Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang
2022	J	`jnl`	Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning. CoRR Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng
2022	J	`jnl`	Prompt-aligned Gradient for Prompt Tuning. CoRR Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang
2021	J	`jnl`	Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification. CoRR Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang
2021	J	`jnl`	Structure-Coherent Deep Feature Learning for Robust Face Alignment. IEEE Trans. Image Process. Chunze Lin, Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, Jie Zhou
2020	J	`jnl`	Fast and Accurate: Structure Coherence Component for Face Alignment. CoRR Beier Zhu, Chunze Lin, Quan Wang, Renjie Liao, Chen Qian
2019	J	`jnl`	Fault Classification for Transmission Lines Based on Group Sparse Representation. IEEE Trans. Smart Grid Shenxing Shi, Beier Zhu, Sohrab Mirsaeidi, Xinzhou Dong
2019	J	`jnl`	Fault Location for Radial Distribution Network via Topology and Reclosure-Generating Traveling Waves. IEEE Trans. Smart Grid Shenxing Shi, Beier Zhu, Aoyu Lei, Xinzhou Dong