Wenbing Zhu - RankMe

35 papers A* 6A 2Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DAB-GRU: A Dynamic Attention-Based Bidirectional Network for Anomaly Detection of On-Board Time-Series Data in High-Speed Rail. IEEE Access Wenbing Zhu, Ming Xu, Zhiyang Yu, Yang Wang, Xinjun Gao, Xiaoming Chen
2026	J	`jnl`	Lightweight and Interpretable Transformer-Based Models for Predicting Driving Comfort in Autonomous Vehicles. IEEE Access Wenbing Zhu, Shihan Luo, Hyowon Lee, Amandeep Singh, Siby Samuel
2026	J	`jnl`	Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era. Pattern Recognit. Wenbing Zhu, Chengjie Wang, Bin-Bin Gao, Jiangning Zhang, Guannan Jiang, Jie Hu, Zhenye Gan, Lidong Wang, Ziqing Zhou, Jianghui Zhang, Linjie Cheng, Yurui Pan, Bo Peng, Mingmin Chi, Lizhuang Ma
2025	A*	`conf`	A Streamlined System for Multimodal Industrial Anomaly Detection via 2D and 3D Feature Fusion. ACM Multimedia Wenbing Zhu, Mingmin Chi, Bo Peng
2025	A*	`conf`	Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. CVPR Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang
2025	J	`jnl`	Noncontact perception for assessing pilot mental workload during the approach and landing under various weather conditions. Signal Image Video Process. Shihan Luo, Chenyang Zhang, Wenbing Zhu, Hua Chen, Jiajun Yuan, Qinyang Li, Tong Wang, Chaozhe Jiang
2025	J	`jnl`	One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection. CoRR Jia Guo, Shuai Lu, Lei Fan, Zelin Li, Donglin Di, Yang Song, Weihang Zhang, Wenbing Zhu, Hong Yan, Fang Chen, Huiqi Li, Hongen Liao
2025	J	`jnl`	PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness. CoRR Yurui Pan, Lidong Wang, Yuchao Chen, Wenbing Zhu, Bo Peng, Mingmin Chi
2025	J	`jnl`	Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection. CoRR Ziqing Zhou, Yurui Pan, Lidong Wang, Wenbing Zhu, Mingmin Chi, Dong Wu, Bo Peng
2025	A*	`conf`	Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection. CVPR Wenbing Zhu, Lidong Wang, Ziqing Zhou, Chengjie Wang, Yurui Pan, Ruoyi Zhang, Zhuhao Chen, Linjie Cheng, Bin-Bin Gao, Jiangning Zhang, Zhenye Gan, Yuxie Wang, Yulong Chen, Shuguang Qian, Mingmin Chi, Bo Peng, Lizhuang Ma
2025	J	`jnl`	Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection. CoRR Wenbing Zhu, Lidong Wang, Ziqing Zhou, Chengjie Wang, Yurui Pan, Ruoyi Zhang, Zhuhao Chen, Linjie Cheng, Bin-Bin Gao, Jiangning Zhang, Zhenye Gan, Yuxie Wang, Yulong Chen, Shuguang Qian, Mingmin Chi, Bo Peng, Lizhuang Ma
2025	J	`jnl`	Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era. CoRR Wenbing Zhu, Chengjie Wang, Bin-Bin Gao, Jiangning Zhang, Guannan Jiang, Jie Hu, Zhenye Gan, Lidong Wang, Ziqing Zhou, Linjie Cheng, Yurui Pan, Bo Peng, Mingmin Chi, Lizhuang Ma
2024	J	`jnl`	DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. CoRR Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Hao Chen, Jiafu Wu, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang, Chengjie Wang
2024	—	`conf`	Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. ECCV (67) Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang
2024	J	`jnl`	Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. CoRR Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
2024	J	`jnl`	Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection. CoRR Qiangang Du, Jinlong Peng, Changan Wang, Xu Chen, Qingdong He, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
2024	J	`jnl`	Multi-class multi-label classification of social media texts for typhoon damage assessment: a two-stage model fully integrating the outputs of the hidden layers of BERT. Int. J. Digit. Earth Liwei Zou, Zhi He, Chengle Zhou, Wenbing Zhu
2024	J	`jnl`	OSV: One Step is Enough for High-Quality Image to Video Generation. CoRR Xiaofeng Mao, Zhengkai Jiang, Fu-Yun Wang, Wenbing Zhu, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang
2024	A	`conf`	PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision. ICME Chengjie Wang, Chengming Xu, Zhenye Gan, Yuxi Li, Jianlong Hu, Wenbing Zhu, Lizhuang Ma
2024	J	`jnl`	PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision. CoRR Chengjie Wang, Chengming Xu, Zhenye Gan, Jianlong Hu, Wenbing Zhu, Lizhuag Ma
2024	A*	`conf`	Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CVPR Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jiangning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma
2024	J	`jnl`	Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CoRR Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jianning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma
2024	J	`jnl`	Single-temporal Supervised Remote Change Detection for Domain Generalization. CoRR Qiangang Du, Jinlong Peng, Xu Chen, Qingdong He, Liren He, Qiang Nie, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
2023	A*	`conf`	Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. IJCAI Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu
2023	J	`jnl`	Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. CoRR Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu
2023	J	`jnl`	Detection of Pilot's Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks. Entropy Chenglin Liu, Chenyang Zhang, Luohao Sun, Kun Liu, Haiyue Liu, Wenbing Zhu, Chaozhe Jiang
2023	A*	`conf`	MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CVPR Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang
2023	J	`jnl`	MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CoRR Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang
2023	—	`conf`	Recognition of Pilot Mental workload in the Simulation Operation of Carrier-based Aircraft Using the Portable EEG. ICHMI Wenbing Zhu, Chenyang Zhang, Chenglin Liu, Jiajun Yuan, Xinyi Li, Yunbiao Wang, Chaozhe Jiang
2022	—	`conf`	Recognition of Transformer High Frequency Partial Discharge Based on Time Domain Feature. ICACT Meng Liu, Ying Lin, Qingdong Zhu, Junxin Wang, Yi Yang, Chao Gu, Wenbing Zhu, Wenjie Zheng, Demeng Bai, Jiafeng Qin, Jian Wang, Fengda Zhang, Zhuangzhuang Li
2020	J	`jnl`	Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation. CoRR Dongyun Lin, Yanpeng Cao, Wenbing Zhu, Yiqun Li
2019	A	`conf`	An Improved Bayesian Integrated ICA Approach for Control Loop Diagnosis with Small Sample Size. ICCAD Wenbing Zhu, Zijiang Yang, Xuesong Xiao, Yuanhaowei Ji, Shuchao Li, Xue Yan, Guoli Ji
2016	—	`conf`	A new small-world network model for instant messaging chat network. SoSE Jinting Guan, Meishuang Tang, Guangzao Huang, Wenbing Zhu, Sun Zhou, Guoli Ji
2016	—	`conf`	Integrating principal component analysis and optimal histogram estimation for Bayesian control loop diagnosis. AIM Wenbing Zhu, Zijiang Yang, Meishuang Tang, Sun Zhou, Bin Yao, Guoli Ji
2015	—	`conf`	Bayesian Fault Diagnosis Using Principal Component Analysis Approach with Continuous Evidence. ITITS (1) Wenbing Zhu, Zixuan Li, Sun Zhou, Guoli Ji