Robust activation function and its application: Semi-supervised kernel extreme learning method. - Shenglan Liu 001; Lin Feng 001; Yao Xiao; Huibing Wang (Neurocomputing, 2014)

Locality Structured Sparsity Preserving Embedding. - Lin Feng 001; Huibing Wang; Shenglan Liu 001; Hongwei Zhang (Int. J. Pattern Recognit. Artif. Intell., 2015)

Multi-view Sparsity Preserving Projection for dimension reduction. - Huibing Wang; Lin Feng 001; Laihang Yu; Jing Zhang 028 (Neurocomputing, 2016)

Extend semi-supervised ELM and a frame work. - Shenglan Liu 001; Lin Feng 001; Huibing Wang; Yao Xiao (Neural Comput. Appl., 2016)

Metric learning with geometric mean for similarities measurement. - Huibing Wang; Lin Feng 001; Yang Liu 066 (Soft Comput., 2016)

Semantic Discriminative Metric Learning for Image Similarity Measurement. - Huibing Wang; Lin Feng 001; Jing Zhang 028; Yang Liu 066 (IEEE Trans. Multim., 2016)

Workload-Aware Page-Level Flash Translation Layer for NAND Flash-Based Storage Systems. - Huibing Wang; Mingwei Lin; Jinbo Xiong; Li Lin 001; Ruliang Xiao (ICCCS (2), 2017)

Test Analysis of the Effect of Internal Controllable Factors on the Individual Human Capital Based on Structural Equation Model. - Huibing Wang; Wenyi Wang (ICMSS, 2017)

Multi-view metric learning based on KL-divergence for similarity measurement. - Huibing Wang; Lin Feng 001; Xiangzhu Meng; Zhaofeng Chen; Laihang Yu; Hongwei Zhang (Neurocomputing, 2017)

Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition. - Qichang Hu; Huibing Wang; Teng Li; Chunhua Shen (IEEE Trans. Intell. Transp. Syst., 2017)

Learning to Predict Crisp Boundaries. - Ruoxi Deng; Chunhua Shen; Shengjun Liu; Huibing Wang; Xinru Liu (ECCV (6), 2018)

Robust Tracking via Weighted Online Extreme Learning Machine. - Jing Zhang 028; Huibing Wang; Yonggong Ren (CoRR, 2018)

Clustering algorithms based on correlation coefficients for probabilistic linguistic term sets. - Mingwei Lin; Huibing Wang; Zeshui Xu; Zhiqiang Yao; Jinli Huang (Int. J. Intell. Syst., 2018)

Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval. - Laihang Yu; Lin Feng 001; Huibing Wang; Li Li 045; Yang Liu 066; Shenglan Liu 001 (Signal Image Video Process., 2018)

Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-Identification. - Jinjia Peng; Huibing Wang; Tongtong Zhao; Xianping Fu (ICME Workshops, 2019)

Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations. - Huibing Wang; Jinjia Peng; Xianping Fu (ICME Workshops, 2019)

Mask-Guided Style Transfer Network for Purifying Real Images. - Tongtong Zhao; Yuxiao Yan; Jinjia Peng; Huibing Wang; Xianping Fu (ICME Workshops, 2019)

A Fast Online Cascaded Regression Algorithm for Face Alignment. - Lin Feng 001; Caifeng Liu; Shenglan Liu 001; Huibing Wang (SmartIoT, 2019)

Face Alignment via Multi-Regressors Collaborative Optimization. - Caifeng Liu; Lin Feng 001; Huibing Wang; Bin Wu (IEEE Access, 2019)

Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval. - Huibing Wang; Haohao Li; Xianping Fu (CoRR, 2019)

Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification. - Jinjia Peng; Huibing Wang; Xianping Fu (CoRR, 2019)

Kernelized Multiview Subspace Analysis by Self-weighted Learning. - Huibing Wang; Yang Wang 023; Zhao Zhang 001; Xianping Fu; Meng Wang 001 (CoRR, 2019)

Purifying naturalistic images through a real-time style transfer semantics network. - Tongtong Zhao; Yuxiao Yan; Ibrahim Shehi Shehu; Xianping Fu; Huibing Wang (Eng. Appl. Artif. Intell., 2019)

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

Co-regularized multi-view sparse reconstruction embedding for dimension reduction. - Huibing Wang; Jinjia Peng; Xianping Fu (Neurocomputing, 2019)

Auto-weighted Mutli-view Sparse Reconstructive Embedding. - Huibing Wang; Haohao Li; Xianping Fu (Multim. Tools Appl., 2019)

Multi-feature distance metric learning for non-rigid 3D shape retrieval. - Huibing Wang; Haohao Li; Jinjia Peng; Xianping Fu (Multim. Tools Appl., 2019)

Robust tracking via weighted online extreme learning machine. - Jing Zhang; Huibing Wang; Yonggong Ren (Multim. Tools Appl., 2019)

Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets. - Lin Feng 001; Huibing Wang; Bo Jin 001; Haohao Li; Mingliang Xue; Le Wang (IEEE Trans. Syst. Man Cybern. Syst., 2019)

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai 001; Yun Cao 002; Junyang Chen 001; Kaihua Cheng; Se Young Chun; Wei Deng; Mostafa El-Khamy; et al. (CVPR Workshops, 2020)

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. - Kai Zhang 008; Shuhang Gu; Radu Timofte; Taizhang Shang; Qiuju Dai; Shengchen Zhu; Tong Yang; Yandong Guo; Younghyun Jo; Sejong Yang; Seon Joo Kim; Lin Zha; et al. (CVPR Workshops, 2020)

Unsupervised Vehicle Re-identification with Progressive Adaptation. - Jinjia Peng; Yang Wang 023; Huibing Wang; Zhao Zhang 001; Xianping Fu; Meng Wang 001 (IJCAI, 2020)

Parallel Recurrent Convolutional Neural Networks-Based Music Genre Classification Method for Mobile Devices. - Rui Yang 023; Lin Feng 001; Huibing Wang; Jianing Yao; Sen Luo (IEEE Access, 2020)

TODIM-based multi-criteria decision-making method with hesitant fuzzy linguistic term sets. - Mingwei Lin; Huibing Wang; Zeshui Xu (Artif. Intell. Rev., 2020)

Attribute-guided Feature Learning Network for Vehicle Re-identification. - Huibing Wang; Jinjia Peng; Dongyan Chen; Guangqi Jiang; Tongtong Zhao; Xianping Fu (CoRR, 2020)

Purifying real images with an attention-guided style transfer network for gaze estimation. - Xianping Fu; Yuxiao Yan; Yang Yan; Jinjia Peng; Huibing Wang (Eng. Appl. Artif. Intell., 2020)

Attribute-Guided Feature Learning Network for Vehicle Reidentification. - Huibing Wang; Jinjia Peng; Dongyan Chen; Guangqi Jiang; Tongtong Zhao; Xianping Fu (IEEE Multim., 2020)

An incrementally cascaded broad learning framework to facial landmark tracking. - Caifeng Liu; Lin Feng 001; Shuai Guo 002; Huibing Wang; Shenglan Liu 001; Hong Qiao (Neurocomputing, 2020)

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

Cascade regression based on extreme learning machine for face alignment. - Caifeng Liu; Lin Feng 001; Huibing Wang; Shenglan Liu 001; Kaiyuan Liu (J. Electronic Imaging, 2020)

Multi-view Locality Low-rank Embedding for Dimension Reduction. - Lin Feng 001; Xiangzhu Meng; Huibing Wang (Knowl. Based Syst., 2020)

The similarity-consensus regularized multi-view learning for dimension reduction. - Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Knowl. Based Syst., 2020)

Multi-view reconstructive preserving embedding for dimension reduction. - Huibing Wang; Lin Feng 001; Adong Kong; Bo Jin 001 (Soft Comput., 2020)

Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. - Yanzhu Zhao; Chunhua Shen; Huibing Wang; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2020)

Multi-Path Deep CNNs for Fine-Grained Car Recognition. - Huibing Wang; Jinjia Peng; Yanzhu Zhao; Xianping Fu (IEEE Trans. Veh. Technol., 2020)

Learning Multiple Semantic Knowledge For Cross-Domain Unsupervised Vehicle Re-Identification. - Huibing Wang; Jinjia Peng; Guangqi Jiang; Xianping Fu (ICME, 2021)

MSAV: An Unified Framework for Multi-view Subspace Analysis with View Consistence. - Huibing Wang; Guangqi Jiang; Jinjia Peng; Xianping Fu (ICMR, 2021)

Learning to Decode Contextual Information for Efficient Contour Detection. - Ruoxi Deng; Shengjun Liu; Jinxin Wang; Huibing Wang; Hanli Zhao; Xiaoqin Zhang 002 (ACM Multimedia, 2021)

Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation. - Xiangzhu Meng; Lin Feng 001; Huibing Wang (Eng. Appl. Artif. Intell., 2021)

Graph-based Multi-view Binary Learning for image clustering. - Guangqi Jiang; Huibing Wang; Jinjia Peng; Dongyan Chen; Xianping Fu (Neurocomputing, 2021)

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

Autoweighted multi-view smooth representation preserve projection for dimensionality reduction. - Haohao Li; Zhixun Su; Huibing Wang; Ximin Liu (J. Electronic Imaging, 2021)

Generalized multiple sparse information fusion for vehicle re-identification. - Jinjia Peng; Guangqi Jiang; Huibing Wang (J. Vis. Commun. Image Represent., 2021)

Bottom-up broadcast neural network for music genre classification. - Caifeng Liu; Lin Feng 001; Guochao Liu; Huibing Wang; Shenglan Liu 001 (Multim. Tools Appl., 2021)

Scale-aware feature pyramid architecture for marine object detection. - Fengqiang Xu; Huibing Wang; Jinjia Peng; Xianping Fu (Neural Comput. Appl., 2021)

Kernelized Multiview Subspace Analysis By Self-Weighted Learning. - Huibing Wang; Yang Wang 023; Zhao Zhang 001; Xianping Fu; Li Zhuo 001; Mingliang Xu 001; Meng Wang 001 (IEEE Trans. Multim., 2021)

Parallelism Network with Partial-aware and Cross-correlated Transformer for Vehicle Re-identification. - Guangqi Jiang; Huibing Wang; Jinjia Peng; Xianping Fu (ICMR, 2022)

Progressive learning with multi-scale attention network for cross-domain vehicle re-identification. - Yang Wang 023; Jinjia Peng; Huibing Wang; Meng Wang 001 (Sci. China Inf. Sci., 2022)

Learning latent features with local channel drop network for vehicle re-identification. - Xianping Fu; Jinjia Peng; Guangqi Jiang; Huibing Wang (Eng. Appl. Artif. Intell., 2022)

Adaptive multi-view multiple-means clustering via subspace reconstruction. - Wenzhe Liu; Luyao Liu 001; Yong Zhang 030; Huibing Wang; Lin Feng 001 (Eng. Appl. Artif. Intell., 2022)

Identification of Metropolitan Area Boundaries Based on Comprehensive Spatial Linkages of Cities: A Case Study of the Beijing-Tianjin-Hebei Region. - Xiaoyuan Zhang; Hao Wang 209; Xiaogang Ning; Xiaoyu Zhang; Ruowen Liu; Huibing Wang (ISPRS Int. J. Geo Inf., 2022)

Hierarchical multi-view metric learning with HSIC regularization. - Huiyuan Deng; Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Neurocomputing, 2022)

Reciprocal consistency graph learning by aligning multi-semantic spaces for multi-view clustering. - Guangqi Jiang; Huibing Wang; Xiaohong Yan; Huizhu Yan; Jinjia Peng; Xianping Fu (J. Electronic Imaging, 2022)

Cooperative Refinement Learning for domain adaptive person Re-identification. - Jinjia Peng; Guangqi Jiang; Huibing Wang (Knowl. Based Syst., 2022)

Eliminating cross-camera bias for vehicle re-identification. - Jinjia Peng; Guangqi Jiang; Dongyan Chen; Tongtong Zhao; Huibing Wang; Xianping Fu (Multim. Tools Appl., 2022)

Refined marine object detector with attention-based spatial pyramid pooling networks and bidirectional feature fusion strategy. - Fengqiang Xu; Huibing Wang; Xudong Sun 009; Xianping Fu (Neural Comput. Appl., 2022)

Tensorial Multi-View Clustering via Low-Rank Constrained High-Order Graph Learning. - Guangqi Jiang; Jinjia Peng; Huibing Wang; Zetian Mi; Xianping Fu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Target-Oriented Multi-criteria Band Selection for Hyperspectral Image. - Huijuan Pang; Xudong Sun 009; Xianping Fu; Huibing Wang (PRCV (7), 2023)

Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering. - Huibing Wang; Mingze Yao; Guangqi Jiang; Zetian Mi; Xianping Fu (CoRR, 2023)

Hybrid partial-constrained learning with orthogonality regularization for unsupervised person re-identification. - Jiazuo Yu; Jinjia Peng; Kai Li; Huibing Wang (Eng. Appl. Artif. Intell., 2023)

Towards Adaptive Consensus Graph: Multi-View Clustering via Graph Collaboration. - Huibing Wang; Guangqi Jiang; Jinjia Peng; Ruoxi Deng; Xianping Fu (IEEE Trans. Multim., 2023)

Learning interpretable shared space via rank constraint for multi-view clustering. - Guangqi Jiang; Huibing Wang; Jinjia Peng; Dongyan Chen; Xianping Fu (Appl. Intell., 2023)

Joint learning with diverse knowledge for re-identification. - Jinjia Peng; Jiazuo Yu; Guangqi Jiang; Huibing Wang; Jing Qi (Signal Process. Image Commun., 2023)

Multi-dimensional, multi-functional and multi-level attention in YOLO for underwater object detection. - Xin Shen; Xudong Sun 009; Huibing Wang; Xianping Fu (Neural Comput. Appl., 2023)

Domain adaptive person search via GAN-based scene synthesis for cross-scene videos. - Huibing Wang; Tianxiang Cui; Mingze Yao; Huijuan Pang; Yushan Du (Image Vis. Comput., 2023)

Adaptive Memorization With Group Labels for Unsupervised Person Re-Identification. - Jinjia Peng; Guangqi Jiang; Huibing Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

OPM2L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification. - Huiyuan Deng; Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Inf. Sci., 2023)

Fast One-Stage Unsupervised Domain Adaptive Person Search. - Tianxiang Cui; Huibing Wang; Jinjia Peng; Ruoxi Deng; Xianping Fu; Yang Wang 023 (IJCAI, 2024)

Scene-Adaptive Person Search via Bilateral Modulations. - Yimin Jiang; Huibing Wang; Jinjia Peng; Xianping Fu; Yang Wang 023 (IJCAI, 2024)

HSMnet: Hybrid Sampling and Matching Network for DETR-based Person Search. - Zhengjie Lu; Jinjia Peng; Huibing Wang; Qingxuan Shi; Bin Wang 044 (MMAsia, 2024)

Anchor Learning with Potential Cluster Constraints for Multi-view Clustering. - Yawei Chen; Huibing Wang; Jinjia Peng; Yang Wang (CoRR, 2024)

Cascade transformers with dynamic attention for video question answering. - Yimin Jiang; Tingfei Yan; Mingze Yao; Huibing Wang; Wenzhe Liu (Comput. Vis. Image Underst., 2024)

A depth map stitching framework based on salient region matching. - Zetian Mi; Haixia Qi; Jiaxin Chen; Yang Yu; Yujia Wang; Huibing Wang; Xianping Fu (Eng. Appl. Artif. Intell., 2024)

Large-scale multi-view subspace clustering via embedding space and partition matrix. - Tianhang Cheng; Jinjia Peng; Hui Li; Huibing Wang (Neurocomputing, 2024)

Scene adaptive color compensation and multi-weight fusion of underwater image. - Muhammad Aon; Huibing Wang; Muhammad Noman Waleed; Yulin Wei; Xianping Fu (J. Electronic Imaging, 2024)

Multi-view latent space learning framework via adaptive graph embedding. - Haohao Li; Zhong Li; Huibing Wang (J. Electronic Imaging, 2024)

AGS: Transferable adversarial attack for person re-identification by adaptive gradient similarity attack. - Zeze Tao; Zhengjie Lu; Jinjia Peng; Huibing Wang (Knowl. Based Syst., 2024)

Generating high-quality texture via panoramic feature aggregation for large mask inpainting. - Bingyan Wang; Jinjia Peng; Hui Li; Huibing Wang (Knowl. Based Syst., 2024)

Criss-cross global interaction-based selective attention in YOLO for underwater object detection. - Xin Shen; Huibing Wang; Yafeng Li; Tianzhu Gao; Xianping Fu (Multim. Tools Appl., 2024)

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

Manifold-Based Incomplete Multi-View Clustering via Bi-Consistency Guidance. - Huibing Wang; Mingze Yao; Yawei Chen; Yunqiu Xu; Haipeng Liu 004; Wei Jia 001; Xianping Fu; Yang Wang 023 (IEEE Trans. Multim., 2024)

Uncertainty-guided Robust labels refinement for unsupervised person re-identification. - Chengjun Wang; Jinjia Peng; Zeze Tao; Huibing Wang (Neural Comput. Appl., 2024)

A Unified Framework Based on Graph Consensus Term for Multiview Learning. - Xiangzhu Meng; Lin Feng 001; Chonghui Guo; Huibing Wang; Shu Wu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multiple information perception-based attention in YOLO for underwater object detection. - Xin Shen; Huibing Wang; Tianxiang Cui; Zhicheng Guo; Xianping Fu (Vis. Comput., 2024)

Publisher Correction: Multiple information perception-based attention in YOLO for underwater object detection. - Xin Shen; Huibing Wang; Tianxiang Cui; Zhicheng Guo; Xianping Fu (Vis. Comput., 2024)

Graph-Collaborated Auto-Encoder Hashing for Multiview Binary Clustering. - Huibing Wang; Mingze Yao; Guangqi Jiang; Zetian Mi; Xianping Fu (IEEE Trans. Neural Networks Learn. Syst., 2024)

ReFID: Reciprocal Frequency-aware Generalizable Person Re-identification via Decomposition and Filtering. - Jinjia Peng; Song Pengpeng; Hui Li; Huibing Wang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Personnel Monitoring in Shipboard Surveillance Using Improved Multi-Object Detection and Tracking Algorithm. - Yiming Li; Bin Zhang; Yichen Liu; Huibing Wang; Shibo Zhang (Sensors, 2024)

High-strength synergic-calibration attention system in YOLO for underwater object detection application. - Xin Shen; Guoliang Yuan 001; Huibing Wang; Xianping Fu (Multim. Syst., 2024)

Anchor Learning with Potential Cluster Constraints for Multi-view Clustering. - Yawei Chen; Huibing Wang; Jinjia Peng; Yang Wang 023 (AAAI, 2025)

CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification. - Jinjia Peng; Songyu Zhang; Huibing Wang (AAAI, 2025)

Unsupervised Domain Adaptive Person Search via Dual Self-Calibration. - Linfeng Qi; Huibing Wang; Jiqing Zhang; Jinjia Peng; Yang Wang (AAAI, 2025)

Region-guided spatial feature aggregation network for vehicle re-identification. - Yanzhen Xiong; Jinjia Peng; Zeze Tao; Huibing Wang (Eng. Appl. Artif. Intell., 2025)

Detail-focused and polarization-guided multi-modality fusion for underwater image clarity enhancing. - Mingze Yao; Huibing Wang; Yudong Li; Wenzhe Liu; Xianping Fu (Eng. Appl. Artif. Intell., 2025)

Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach. - Yaru Hu; Junwei Ou; Huibing Wang; Juan Zou; Jinhua Zheng; Shengxiang Yang (Expert Syst. Appl., 2025)

Modality-perceptive harmonization network for visible-infrared person re-identification. - Xutao Zuo; Jinjia Peng; Tianhang Cheng; Huibing Wang (Inf. Fusion, 2025)

Scene-intra deep mining via shifted instance refinement for weakly supervised person search. - Shenghui Yin; Jinjia Peng; Zhen Wang 017; Huibing Wang (Knowl. Based Syst., 2025)

MVG-FD: Multi-Modal Visual Guidance and Feature Decomposition for Underwater Image Restoration. - Guangqi Jiang; Ao Zhang; Yi Liu 038; Huibing Wang; Shoukun Xu (IEEE Signal Process. Lett., 2025)

Between/Within View Information Completing for Tensorial Incomplete Multi-View Clustering. - Mingze Yao; Huibing Wang; Yawei Chen; Xianping Fu (IEEE Trans. Multim., 2025)

Robust Multi-View Clustering via Graph-Oriented High-Order Correlations Learning. - Wenzhe Liu; Jiongcheng Zhu; Huibing Wang; Yong Zhang 030 (IEEE Trans. Netw. Sci. Eng., 2025)

Feature decomposition and structural learning for multi-diverse and multi-view data clustering. - Yong Zhang; Da Liu; Li Jiang; Huibing Wang; Wenzhe Liu (Vis. Comput., 2025)

Consensus guided incomplete multi-view clustering via geometric consistency learning. - Huibing Wang; Wei Wang; Mingze Yao; Yawei Chen; Jinjia Peng; Guangqi Jiang; Xianping Fu (Appl. Intell., 2025)

Omni Contextual Aggregation Networks for High-Fidelity Image Inpainting. - Jinjia Peng; Mengkai Li; Bingyan Wang; Huibing Wang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Unsupervised clustering optimization-based efficient attention in YOLO for underwater object detection. - Xin Shen; Guoliang Yuan 001; Huibing Wang; Xianping Fu (Artif. Intell. Rev., 2025)

Focus More on What? Guiding Multi-Task Training for End-to-End Person Search. - Boyu Cai; Huibing Wang; Mingze Yao; Xianping Fu (IEEE Trans. Circuits Syst. Video Technol., 2025)

Boosting Adversarial Transferability via Residual Perturbation Attack. - Jinjia Peng; Zeze Tao; Huibing Wang; Meng Wang; Yang Wang (CoRR, 2025)

FedDSKI: Improving server-side model via dual-stage knowledge isolation in personalized federated learning. - Xiaorui He; Jinjia Peng; Zhen Wang 017; Hui Li; Huibing Wang (Future Gener. Comput. Syst., 2026)