About Me

I am currently a Ph.D. student under the supervision of Prof. Wei Jiang at the Institute of Cyber-Systems and Control, College of Control Science and Engineering, Zhejiang University. I received my bachelor degree from College of Control Science and Engineering, Zhejiang University in 2015.

I will soon get my doctor degree and join in Alibaba DAMO Academy. We are hiring Algorithm Engineers (Full-time) and Research Interns in computer vision. (Please feel free to contact me!)

I was the founder and president of the Student AI Association of Zhejiang University (ZJUAI). Welcome to join the association to study AI with some friends.

You can find my publications on Google Scholar and my open source code on GitHub.

Research Interest




  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. 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]

  9. 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. 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]


(* stands for equal first authors)

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

  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. (Major Revision)

  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. (Under review)

  4. Sipeng Zhang* , Hao Luo*, Wei Jiang, Chi Zhang, Hongyan Yu. An adversarial triplet loss constrained Generative Adversarial Network for person re-identification. (Under review on Computer Vision and Image Understanding)

  5. Zhenfeng Xue, Weijie Mao, Wei Jiang, Hao Luo. EHANet: Efficient Hybrid Attention Network towards real-time semantic segmentation. (Under review)

  6. Xuan Zhang* , Hao Luo*, Xing Fan, et al. Alignedreid: Surpassing human-level performance in person re-identification[J]. arXiv preprint arXiv:1711.08184, 2017.

    [pdf] [code] [BibTeX]

  7. 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]

Academic Service

Conference PC/Reviewer: ICCV,CVPR,ECCV,AAAI

Journal Reviewer: TMM,Neurocomputing

Awards and Honors

Leadership Activities