【近几年主要学术论文】： 【2025年】 [1] Hu Lu, Haotian Hong, Fuhao Shi, Shengli Wu, Lixin Duan. Deep contrastive graph clustering with information preservation, Pattern Recognition, Volume 172, Part C,2026,112575, //doi.org/10.1016/j.patcog.2025.112575. 2025. (SCI检索) [2] Hu Lu et,al, Transformer-based Decoupled Modality Feature Learning for Visible-Infrared Person Re-Identification. IEEE MultiMedia, 10.1109/MMUL.2026.3652838, 2025. (SCI检索) [3] Hu Lu, Yanyan Zhao, Guo Yang, Shengli Wu. DSGNet: A Lightweight Network Integrating Depthwise Separable and Ghost Convolutions for Real-Time Surface Defect Segmentation. Expert Systems. //doi.org/10.1111/exsy.70187, 2025. (SCI检索) [4] Fuhao Shi, Hu Lu*(通信作者). Enhancing multi-view deep image clustering via contrastive learning for global and local consistency. Pattern Analysis and Applications 28 (4), 165, 2025 (SCI检索) [5] XueCheng Hua, Ke Cheng, Gege Zhu, Hu Lu*(通信作者), YuanQuan Wang, ShiTong Wang, Local-Aware Residual Attention Vision Transformer for Visible-Infrared Person Re-Identification. ACM Transactions on Multimedia Computing, Communications, and Applications. 21(5) 1-24, 2025. (SCI检索) [6] Fuhao Shi, Shaohua Wan, Shengli Wu, Hui Wei, Hu Lu* (通信作者). Deep contrastive coordinated multi-view consistency clustering. Machine Learning, doi : 10.1007/s10994-025-06735-y. (2025) 114:81 (SCI检索) [7] Yunyao Cai, Hu Lu* (通信作者), Shengli Wu, Stefano Berretti, Shaohua Wan. DT-VNet: Deep Transformer-based VNet Framework for 3D Prostate MRI Segmentation. IEEE Journal of Biomedical and Health Informatics. 2025, doi: 10.1109/JBHI.2024.3486966. (SCI检索) [8] Yuxin Li, Hu Lu*(通信作者), Tingting Qin, Juanjuan Tu, Shengli Wu. CM-DASN: Visible-Infrared Cross-Modality Person Re-Identification via Dynamic Attention Selection Network. Multimedia Systems, doi: 10.1007/s00530-025-01724-6, 2025. (SCI检索)
【2024年】 [1] Xuecheng Hua, Ke Cheng, Hu Lu(通信作者), Juanjuan Tu, Yuanquan Wang, Shitong Wang. MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification, Pattern Recognition, 2024,111090, doi.org/10.1016/j.patcog.2024.111090. (中科院1区) [2] Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu, TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation. Association for the Advancement of Artificial Intelligence, AAAI-2024, 20-27 February，2024. (CCF-A类) [3] Hu Lu, TingTing Jin，Hui Wei, Michele Nappi，Hu Li, ShaoHua Wan，Soft-orthogonal Constrained Dual-stream Encoder with Self-supervised Clustering Network for Brain Functional Connectivity Data. Expert Systems With Applications, 244, 122898, （2024）. (中科院1区) [4] Ke Cheng, Qikai Geng, Shucheng Huang, Juanjuan Tu, Hu Lu*（通信作者）: Learning shared features from specific and ambiguous descriptions for text-based person search. Multim. Syst. 30(2): 94 (2024). (Impact factor=3.9) [5] Hu Lu, Haotian Hong, Xia Geng: Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis. Neural Process. Lett. 56(2): 130 (2024). (Impact factor=3.1)
【2023年】 [1] Hu, Lu, Xuezhang Zou, Pingping Zhang, Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification. Association for the Advancement of Artificial Intelligence 2023, AAAI-2023. (CCF-A类) [2] Ziqiang He, Shaohua Wan, Marco Zappatore, Hu Lu*（通信作者）. A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multi-View Clustering. IEEE Transactions on Artificial Intelligence. TAI. 2023, DOI: 10.1109/TAI.2023.3271964. [3] Yirui Wu, Lilai Zhang, Zonghua Gu, Hu Lu, Shaohua Wan. Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition. ACM Transactions on Embedded Computing Systems. 2023, DOI:10.1145/3587038. [4] Chao Chen, Hu Lu*（通信作者）, Haotian Hong, Hai Wang, Shaohua Wan. Deep Graph Attention Convolution Autoencoder Clustering for Social Network Connection Analysis. TCE, IEEE Transactions on Consumer Electronics. 2023.
【2022年】 [1] Li, H., Wu Y., Hu, H., Lu, H., Lai, Y., Wan, S., Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction. International Conference on Bioinformatics & Biomedicine 2022, BIBM-2022. (CCF-B类) [2] Ding, S., Wang, H., Lu, H., Nappi, M., & Wan, S. (2022). Two path gland segmentation algorithm of colon pathological image based on local semantic guidance. IEEE journal of biomedical and health informatics, (SCI检索，Impact factor: 7.021) [3] Chao Chen, Hu Lu*（通信作者）, Hui Wei, Xia Geng. Deep Subspace Image Clustering Network with Selfexpression and Self-supervision [J]. Applied Intelligence. accepted, 2022, (SCI检索，Impact factor=5.086) [4] Hu Lu, Chao Chen, Hui Wei, Zhongchen Ma, Ke Jiang, Yingquan Wang. Improved Deep Convolutional Embedded Clustering with Re-selectable Sample Training [J]. Pattern Recognition. Volume 127, 2022, doi : 10.1016/j.patcog.2022.108611. (SCI检索，Impact factor=7.74)[source code] [5] Hu Lu*（通信作者）, Tingting Jin. Dual-Stream Encoder Neural Networks with Spectral Constraint for Clustering Functional Brain Connectivity Data [J]. Neural Computing and Applications. 2022, doi : 10.1007/s00521-022-07122-7. (SCI检索，Impact factor=5.606)[source code] [6] Yingquan Wang, Ke Jiang, Hu Lu*（通信作者）, Ziheng Xu, Gaojian Li, Chao Chen, Xia Geng. Encoder-Decoder Assisted Image Generation for Person re-identification[J]. Multimedia Tools and Applications. 2022, doi : 10.1007/s11042-022-11907-2. (SCI检索，Impact factor=2.757)
【2021年】 [1] Yingquan Wang, Pingping Zhang, Shang Gao, Xia Geng, Hu Lu*（通信作者）, Dong Wang. Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification. Proceedings of the IEEE International Conference on Computer Vision, v 2021-October, p12026-12035, Proceedings - 2021 International Conference on Computer Vision, ICCV 2021. (CCF-A类) [2] Hu Lu*（通信作者）, Saixiong Liu, Hui Wei, Chao Chen, Xia Geng, Deep multi-kernel auto-encoder network for clustering brain functional connectivity data. Neural Networks. Volume 135, 2021, pp 148-157. DOI: 10.1016/j.neunet.2020.12.005. (SCI检索，Impact factor=8.05) [3] Thomas Martial Epalle*, Yuqing Song, Zhe Liu, Hu Lu. Multi-atlas Classification of Autism Spectrum Disorder with Hinge Loss Trained Deep Architectures: ABIDE I Results [J]. Applied Soft Computing. March 29, 2021. (SCI检索，Impact factor=6.725) [4] Hu Lu*（通信作者）. Click-cut: A framework for interactive object selection [J]. Multimedia Tools and Applications. March 30, 2021. (SCI检索，Impact factor=2.757)
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