Huibing Wang（王辉兵）– Papers

Between/Within View Information Completing for Tensorial Incomplete Multi-view Clustering.
Mingze Yao, Huibing Wang*, Yawei Chen, Xianping Fu.
IEEE Transactions on Multimedia, 2024.

Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance.
Huibing Wang, Mingze Yao, Yawei Chen, Yunqiu Xu, Haipeng Liu, Wei Jia, Xianping Fu, Yang Wang.
lEEE Transactions on Multimedia, 2024.

Scene-Adaptive Person Search via Bilateral Modulations.
Yimin Jiang, Huibing Wang*, Jinjia Peng, Xianping Fu and Yang Wang.
In Proceedings of the Thirty-Thrid International Joint Conference on Artificial Intelligence(IJCAI).

Fast One-Stage Unsupervised Domain Adaptive Person Search.
Tianxiang Cui, Huibing Wang*, Jinjia Peng, Ruoxi Deng, Xianping Fu, Yang Wang.
In Proceedings of the Thirty-Thrid International Joint Conference on Artificial Intelligence(IJCAI).

ReFID: Reciprocal Frequency-aware Generalizable Person Re-identification via Decomposition and Filtering.
Jinjia Peng, Pengpeng Song, Hui Li, Huibing Wang*.
ACM Transactions on Multimedia Computing, Communications and Applications (2024).

Adapt only once: Fast unsupervised person re-identification via relevance-aware guidance.
Jinjia Peng, Jiazuo Yu, Chengjun Wang, Huibing Wang*, and Xianping Fu.
Pattern Recognition (2024).

Cascade transformers with dynamic attention for video question answering.
Yimin Jiang, Tingfei Yan, Mingze Yao, Huibing Wang*,and Wenzhe Liu.
Computer Vision and Image Understanding (2024).

Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering.
Huibing Wang, Mingze Yao, Guangqi Jiang, Zetian Mi, and Xianping Fu.
IEEE Transactions on Neural Networks and Learning Systems (2023).

Adaptive Memorization with Group-aware labels for Unsupervised Person Re-identification.
Jinjia Peng, Guangqi Jiang, and Huibing Wang*.
IEEE Transactions on Circuits and Systems for Video Technology (2023).

Hybrid partial-constrained learning with orthogonality regularization for unsupervised person re-identification.
Jiazuo Yu, Jinjia Peng, Kai Li, and Huibing Wang.
Engineering Applications of Artificial Intelligence 123 (2023): 106200.

Joint learning with diverse knowledge for re-identification.
Jinjia Peng, Jiazuo Yu, Guangqi Jiang, Huibing Wang, and Jing Qi.
Signal Processing: Image Communication (2023): 116922.

Towards Adaptive Consensus Graph: Multi-view Clustering via Graph Collaboration.
Huibing Wang, Guangqi Jiang, Jinjia Peng, Ruoxi Deng, and Xianping Fu.
IEEE Transactions on Multimedia (2022).

Reciprocal consistency graph learning by aligning multi-semantic spaces for multi-view clustering.
Guangqi Jiang, Huibing Wang, Xiaohong Yan, Huizhu Yan, Jinjia Peng, and Xianping Fu.
Journal of Electronic Imaging 31, no. 6 (2022): 063013.

A Unified Framework Based on Graph Consensus Term for Multiview Learning.
Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang*, and Shu Wu.
IEEE Transactions on Neural Networks and Learning Systems (2022).

Tensorial multi-view clustering via low-rank constrained high-order graph learning.
Guangqi Jiang, Jinjia Peng, Huibing Wang*, Zetian Mi, and Xianping Fu.
IEEE Transactions on Circuits and Systems for Video Technology 32, no. 8 (2022): 5307-5318.

Progressive learning with multi-scale attention network for cross-domain vehicle re-identification.
Yang Wang, Jinjia Peng, Huibing Wang, and Meng Wang.
Science China Information Sciences 65, no. 6 (2022): 160103.

Cooperative Refinement Learning for domain adaptive person Re-identification.
Jinjia Peng, Guangqi Jiang, and Huibing Wang*.
Knowledge-Based Systems 242 (2022): 108349.

Learning latent features with local channel drop network for vehicle re-identification.
Xianping Fu, Jinjia Peng, Guangqi Jiang, and Huibing Wang*.
Engineering Applications of Artificial Intelligence 107 (2022): 104540.

Adaptive multi-view multiple-means clustering via subspace reconstruction.
Wenzhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, and Lin Feng.
Engineering Applications of Artificial Intelligence 114 (2022): 104986.

Refined marine object detector with attention-based spatial pyramid pooling networks and bidirectional feature fusion strategy.
Fengqiang Xu, Huibing Wang, Xudong Sun, and Xianping Fu.
Neural Computing and Applications 34, no. 17 (2022): 14881-14894.

Parallelism Network with Partial-aware and Cross-correlated Transformer for Vehicle Re-identification.
Guangqi Jiang, Huibing Wang*, Jinjia Peng, and Xianping Fu.
In Proceedings of the 2022 International Conference on Multimedia Retrieval, pp. 594-600. 2022.

Learning interpretable shared space via rank constraint for multi-view clustering.
Guangqi Jiang, Huibing Wang*, Jinjia Peng, Dongyan Chen, and Xianping Fu.
Applied Intelligence (2022): 1-17.

Hierarchical multi-view metric learning with HSIC regularization.
Huiyuan Deng, Xiangzhu Meng, Huibing Wang, and Lin Feng.
Neurocomputing 510 (2022): 135-148.

Discriminative feature and dictionary learning with part-aware model for vehicle re-identification.
Huibing Wang, Jinjia Peng, Guangqi Jiang, Fengqiang Xu, and Xianping Fu.
Neurocomputing 438 (2021): 55-62.

Learning multiple semantic knowledge for cross-domain unsupervised vehicle re-identification.
Huibing Wang, Jinjia Peng, Guangqi Jiang, and Xianping Fu.
In 2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE, 2021.

Msav: an unified framework for multi-view subspace analysis with view consistence.
Huibing Wang, Guangqi Jiang, Jinjia Peng, and Xianping Fu.
In Proceedings of the 2021 international conference on multimedia retrieval, pp. 653-659. 2021.

Bottom-up broadcast neural network for music genre classification.
Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, and Shenglan Liu.
Multimedia Tools and Applications 80 (2021): 7313-7331.

Graph-based multi-view binary learning for image clustering.
Guangqi Jiang, Huibing Wang, Jinjia Peng, Dongyan Chen, and Xianping Fu.
Neurocomputing 427 (2021): 225-237.

Scale-aware feature pyramid architecture for marine object detection.
Fengqiang Xu, Huibing Wang, Jinjia Peng, and Xianping Fu.
Neural Computing and Applications 33 (2021): 3637-3653.

Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation.
Xiangzhu Meng, Lin Feng, and Huibing Wang.
Engineering Applications of Artificial Intelligence 99 (2021): 104140.

Learning to Decode Contextual Information for Efficient Contour Detection.
Ruoxi Deng, Shengjun Liu, Jinxin Wang, Huibing Wang, Hanli Zhao, and Xiaoqin Zhang.
In Proceedings of the 29th ACM International Conference on Multimedia, pp. 4435-4443. 2021.

Generalized multiple sparse information fusion for vehicle re-identification.
Jinjia Peng, Guangqi Jiang, and Huibing Wang*.
Journal of Visual Communication and Image Representation 79 (2021): 103207.

Autoweighted multi-view smooth representation preserve projection for dimensionality reduction.
Haohao Li, Zhixun Su, Huibing Wang, and Ximin Liu.
Journal of Electronic Imaging 30, no. 2 (2021): 023022-023022.

Kernelized multiview subspace analysis by self-weighted learning.
Huibing Wang, Yang Wang, Zhao Zhang, Xianping Fu, Li Zhuo, Mingliang Xu, and Meng Wang.
IEEE Transactions on Multimedia 23 (2020): 3828-3840.

Attribute-guided feature learning network for vehicle reidentification.
Huibing Wang, Jinjia Peng, Dongyan Chen, Guangqi Jiang, Tongtong Zhao, and Xianping Fu.
IEEE MultiMedia 27, no. 4 (2020): 112-121.

Multi-path deep cnns for fine-grained car recognition.
Huibing Wang, Jinjia Peng, Yanzhu Zhao, and Xianping Fu.
IEEE Transactions on Vehicular Technology 69, no. 10 (2020): 10484-10493.

Multi-view reconstructive preserving embedding for dimension reduction.
Huibing Wang, Lin Feng, Adong Kong, and Bo Jin.
Soft Computing 24 (2020): 7769-7780.

Parallel recurrent convolutional neural networks-based music genre classification method for mobile devices.
Rui Yang, Lin Feng, Huibing Wang, Jianing Yao, and Sen Luo.
IEEE Access 8 (2020): 19629-19637.

Unsupervised vehicle re-identification with progressive adaptation.
Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, and Meng Wang.
In International Joint Conference on Artificial Interlligence(IJCAI).

Cross domain knowledge learning with dual-branch adversarial network for vehicle re-identification.
Jinjia Peng, Huibing Wang, Fengqiang Xu, and Xianping Fu.
Neurocomputing 401 (2020): 133-144.

Multi-view locality low-rank embedding for dimension reduction.
Lin Feng, Xiangzhu Meng, and Huibing Wang.
Knowledge-Based Systems 191 (2020): 105172.

Eliminating cross-camera bias for vehicle re-identification.
Jinjia Peng, Guangqi Jiang, Dongyan Chen, Tongtong Zhao, Huibing Wang, and Xianping Fu.
Multimedia Tools and Applications (2020): 1-17.

An incrementally cascaded broad learning framework to facial landmark tracking.
Caifeng Liu, Lin Feng, Shuai Guo, Huibing Wang, Shenglan Liu, and Hong Qiao.
Neurocomputing 410 (2020): 125-137.

The similarity-consensus regularized multi-view learning for dimension reduction.
Xiangzhu Meng, Huibing Wang, and Lin Feng.
Knowledge-Based Systems 199 (2020): 105835.

Purifying real images with an attention-guided style transfer network for gaze estimation.
Xianping Fu, Yuxiao Yan, Yang Yan, Jinjia Peng, and Huibing Wang.
Engineering Applications of Artificial Intelligence 91 (2020): 103609.

Cascade regression based on extreme learning machine for face alignment.
Caifeng Liu, Lin Feng, Huibing Wang, Shenglan Liu, and Kaiyuan Liu.
Journal of Electronic Imaging 29, no. 4 (2020): 043002-043002.

Co-regularized multi-view sparse reconstruction embedding for dimension reduction.
Huibing Wang, Jinjia Peng, and Xianping Fu.
Neurocomputing 347 (2019): 191-199.

Multi-feature distance metric learning for non-rigid 3D shape retrieval.
Huibing Wang, Haohao Li, Jinjia Peng, and Xianping Fu.
Multimedia Tools and Applications 78 (2019): 30943-30958.

Auto-weighted mutli-view sparse reconstructive embedding.
Huibing Wang, Haohao Li, and Xianping Fu.
Multimedia Tools and Applications 78 (2019): 30959-30973.

Mask-Guided Style Transfer Network for Purifying Real Images.
Huibing Wang, Jinjia Peng, and Xianping Fu.
In 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 429-434. IEEE, 2019.

Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations.
Huibing Wang, Jinjia Peng, and Xianping Fu.
In 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 465-470. IEEE, 2019.

Structural analysis of attributes for vehicle re-identification and retrieval.
Yanzhu Zhao, Chunhua Shen, Huibing Wang, and Shengyong Chen.
IEEE Transactions on Intelligent Transportation Systems 21, no. 2 (2019): 723-734.

Learning multi-region features for vehicle re-identification with context-based ranking method.
Jinjia Peng, Huibing Wang, Tongtong Zhao, and Xianping Fu.
Neurocomputing 359 (2019): 427-437.

Cross domain knowledge transfer for unsupervised vehicle re-identification.
Jinjia Peng, Huibing Wang, Tongtong Zhao, and Xianping Fu.
In 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 453-458. IEEE, 2019.s

Intelligent detection and autonomous capture system of seafood based on underwater robot.
Fengqiang Xu, Peng Dong, Huibing Wang, and Xianping Fu.
北京航空航天大学学报 45, no. 12 (2019): 2393-2402.

Purifying naturalistic images through a real-time style transfer semantics network.
Tongtong Zhao, YuXiao Yan, Ibrahim Shehi Shehu, Xianping Fu, and Huibing Wang.
Engineering Applications of Artificial Intelligence 81 (2019): 428-436.s

Robust tracking via weighted online extreme learning machine.
Jing Zhang, Huibing Wang, and Yonggong Ren.
Multimedia Tools and Applications 78 (2019): 30723-30747.

Mask-Guided Style Transfer Network for Purifying Real Images.
Tongtong Zhao, Yuxiao Yan, Jinjia Peng, Huibing Wang, and Xianping Fu.
In 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 429-434. IEEE, 2019.

A fast online cascaded regression algorithm for face alignment.
Lin Feng, Caifeng Liu, Shenglan Liu, and Huibing Wang.
In 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), pp. 330-334. IEEE, 2019.

Learning to predict crisp boundaries.
Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, and Xinru Liu.
In Proceedings of the European Conference on Computer Vision (ECCV), pp. 562-578. 2018.

Learning a distance metric by balancing kl-divergence for imbalanced datasets.
Lin Feng, Huibing Wang, Bo Jin, Haohao Li, Mingliang Xue, and Le Wang.
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49, no. 12 (2018): 2384-2395.

Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval.
Laihang Yu, Lin Feng, Huibing Wang, Li Li, Yang Liu, and Shenglan Liu.
Signal, Image and Video Processing 12 (2018): 247-254.

Face alignment via multi-regressors collaborative optimization.
Caifeng Liu, Lin Feng, Huibing Wang, and Bin Wu.
IEEE Access 7 (2018): 4101-4112.

Intensity-based co-occurrence local ternary patterns for image retrieval.
Li Li, Lin Feng, Sheng-Lan Liu, Mu-Xin Sun, Jun Wu, and Huibing Wang.
J. Comput. 29, no. 4 (2018): 12-30.

半监督稀疏近邻保持投影.
吴振宇， 侯冰洋， 王辉兵， 刘胜蓝， 冯林。
系统工程与电子技术 40, no. 4 (2018): 934-940.

Semi-supervised Sparsity Preserving Projection for Face Recognition.
Le Wang, Huibing Wang, Zhiyuan Jin, and Shui Wang.
y and Intelligence: Applications and Techniques in Cyber Security and Intelligence, pp. 442-449. Springer International Publishing, 2018.

Multi-view metric learning based on KL-divergence for similarity measurement.
Huibing Wang, Lin Feng, Xiangzhu Meng, Zhaofeng Chen.
Neurocomputing 238 (2017): 269-276.

Deep CNNs with spatially weighted pooling for fine-grained car recognition.
Qichang Hu, Huibing Wang, Teng Li, and Chunhua Shen.
IEEE Transactions on Intelligent Transportation Systems 18, no. 11 (2017): 3147-3156.

Semantic Discriminative Metric Learning for Image Similarity Measurement.
Huibing Wang, Lin Feng, Jing Zhang, and Yang Liu.
IEEE Transactions on Multimedia 18, no. 8 (2016): 1579-1589.

Multi-view sparsity preserving projection for dimension reduction.
Huibing Wang, Lin Feng, Laihang Yu, and Jing Zhang.
Neurocomputing 216 (2016): 286-295.

Metric learning with geometric mean for similarities measurement.
Huibing Wang, Lin Feng, and Yang Liu.
Soft Computing 20 (2016): 3969-3979.

一种基于离散度平衡的降维算法.
王辉兵, 冯林, and 吴振宇.
计算机辅助设计与图形学学报 28, no. 6 (2016): 995-1002.

Extend semi-supervised ELM and a frame work.
ShengLan Liu, Lin Feng, Huibing Wang, and Yao Xiao.
Neural Computing and Applications 27 (2016): 205-213.

Locality structured sparsity preserving embedding.
Lin Feng, Huibing Wang, Shenglan Liu, and Hongwei Zhang.
International Journal of Pattern Recognition and Artificial Intelligence 29, no. 06 (2015): 1551010.

Robust activation function and its application: Semi-supervised kernel extreme learning method.
Shenglan Liu, Lin Feng, Yao Xiao, and Huibing Wang.
Neurocomputing 144 (2014): 318-328.

Incorporate Extreme Learning Machine to content-based image retrieval with relevance feedback.
Shenglan Liu, Huibing Wang, Jun Wu, and Lin Feng.
In Proceeding of the 11th World Congress on Intelligent Control and Automation, pp. 1010-1013. IEEE, 2014.

高维数据中鲁棒激活函数的极端学习机及线性降维.
冯林, 刘胜蓝, 张晶, and 王辉兵.
计算机研究与发展 51, no. 6 (2014): 1331-1340.

Local Topological Linear Discriminant Analysis.
Hongwei Zhao, Lin Feng, Shenglan Liu, and Huibing Wang.
JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE 10, no. 18: 5859-5866.

A Weighted Semi-Supervised Dimensionality Reduction Method Based Locally Linear Graph.
Tianjun Lu, Shenglan Liu, Huibing Wang, and Le Wang.
JOURNAL OF INFORMATION &COMPUTATIONAL SCIENCE 11, no. 13: 4819-4826.