(* stands for the corresponding author or mentor)


  1. Hao Luo, Wei Jiang, Youzhi Gu, Fuxu Liu, Xingyu Liao, Shenqi Lai, and Jianyang Gu. A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification. IEEE Transactions on Multimedia.

    [pdf] [arxiv] [code]

  2. Hao Luo, Wei Jiang, Xuan Zhang, et al. AlignedReID++: Dynamically Matching Local Information for Person Re-Identification. (Pattern Recognition)

    [pdf] [code] [Bibtex]

  3. Hao Luo, Xing Fan, Chi Zhang, Wei Jiang. STNReID: Deep Convolutional Networks with Spatial Transformer Networks for Partial Person Re-Identification. IEEE Transactions on Multimedia.

    [pdf] [arxiv]

  4. Hao Luo, Zhengping Luo, Chao Xu, Wei Jiang. Optical plasma boundary reconstruction based onleast squares for EAST Tokamak[J]. Frontiers of Information Technology & Electronic Engineering, 2018. DOI:10.1631/FITEE.1700041

    [pdf] [BibTeX]

  5. Hao Luo, Wei Jiang, Xing Fan, Sipeng Zhang. A Survey on Deep Learning Based Person Re-Identification[J]. ACTA AUTOMATICA SINICA, 2018. DOI: 10.16383/j.aas.2018.c180154

    (罗浩,姜伟,范星,张思朋. 基于深度学习的行人重识别研究进展. 自动化学报, 2018. DOI: 10.16383/j.aas.2018.c180154) [pdf]

  6. Xing Fan, Wei Jiang, Hao Luo, et al. SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification. Journal of Visual Communication and Image Representation (2019).

    [pdf] [BibTeX]

  7. Jingjing Qian, Wei Jiang, Hao Luo*, Hongyan Yu. Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification. Measurement Science and Technology.


  8. Jianyang Gu, Wei Jiang, Hao Luo*, et al. An efficient global representation constrained by Angular Triplet loss for vehicle re-identification. Pattern Analysis and Applications, 2020: 1-13.


  9. Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng. A Novel Self-intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation. (Applied Science, 2019. DOI:10.3390/app9030400) [pdf] [BibTeX]

  10. Xing Fan, Wei Jiang, Hao Luo, Weijie Mao, Hongyan Yu. Instance Hard Triplet Loss for both Cross-camera and In-video Person Re-identification. Applied Science.


  1. Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang. Bag of Tricks and A Strong Baseline for Deep Person Re-identification. (CVPR2019 Workshop, Oral)

    [pdf] [code] [BibTeX]

  2. Shuting He, Hao Luo*, Weihua Chen, et al. Multi-Domain Learning and Identity Mining for Vehicle Re-Identification. CVPR2020 Workshop. [pdf] [code]

  3. Xing Fan, Hao Luo, Xuan Zhang, et al. SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification[C]//Asian Conference on Computer Vision. Springer, Cham, 2018.

    [pdf] [code] [BibTeX]


  1. Haonan Xie, Wei Jiang, Hao Luo*, Hongyan Yu. Model Compression via Pruning and Knowledge Distillation for Person Re-identification. (Accept)

  2. Xing Fan, Hao Luo, Chi Zhang, Wei Jiang. Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification. IEEE Transactions on Multimedia. (Accept)

  3. Xing Fan, Hao Luo, Chi Zhang, Wei Jiang, Yaser Sheikh. Beyond Part-based Convolution: Multi-scale Pooling and Random Stripe-shuffling for Person Re-identification. Neurocomputing.

  4. Xuan Zhang , Hao Luo(Equal first authors), Xing Fan, et al. Alignedreid: Surpassing human-level performance in person re-identification[J]. arXiv preprint arXiv:1711.08184, 2017.

    [pdf] [code] [BibTeX]

  5. Qiqi Xiao, Hao Luo, Chi Zhang. Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification[J]. arXiv preprint arXiv:1710.00478, 2017.

    [pdf] [code] [BibTeX]