Xiu-Shen WEI (魏秀参)


Xiu-Shen WEI                                                                                                                                            “NUST”
Ph.D., Professor
School of Computer Science and Engineering, Nanjing University of Science and Technology

Office: Room 4063-1
Email: weixs@njust.edu.cn or weixs.gm@gmail.com

About Me

  • From Jun. 2020, I am a Professor at PCA Lab (led by Prof. Jian Yang) and Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, NJUST.

  • From Oct. 2017 to Jun. 2020, I served as the Founding Director in Megvii Research Nanjing, Megvii Technology.

  • 欢迎有志投身人工智能领域的热忱学子报考我的研究生或本科科研训练及毕设!



  • Dec. 2, 2020: One paper about long-tailed recognition accepted by AAAI 2021.

  • Sept. 25, 2020: One paper about base models accepted by IEEE TNNLS.

  • Aug. 1, 2020: Two papers accepted to ACM MM 2020: one for webly-supervised fine-grained recognition and one for retrieval toolbox.

  • Jul. 3, 2020: Two papers accepted to ECCV 2020: one for fine-grained image retrieval and one for object detection.

  • Jun. 20, 2020: Our team won the first place in the iWildCam track of FGVC 2020 global competitions!

  • Apr. 28, 2020: We release a PyTorch-based library for unsupervised image retrieval by deep CNNs on GitHub!

  • Apr. 21, 2020: Our work (SCDA) about fine-grained image retrieval was selected as the highly cited paper by ESI!

  • Jul. 6, 2019: Opened the “Awesome Fine-Grained Image Analysis – Papers, Codes and Datasets” homepage.

  • Jun. 12, 2019: Our team won the first place in both iNaturalist and Herbarium tracks of FGVC 2019 global competition!

  • Nov. 1, 2018: Published a Chinese book on convolutional neural networks and computer vision.

Research Interests

My research interests include some sub-fields of Computer Vision and Machine Learning:

  • Deep Convolutional Neural Networks (DCNN) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field, which is widely used in image and video related tasks.

  • Fine-Grained Image Analysis (FGIA) is a hot topic in computer vision and pattern recognition. The goals of FGIA are localizing the fine-grained objects, recognizing the objects’ subordinate categories, retrieving the fine-grained objects and so on.

  • Long-Tailed Distribution Learning (LTDL) deals with real-world datasets displaying skewed distributions with a long tail, i.e., a few classes (a.k.a. head classes) occupy most of the data, while most classes (a.k.a. tail classes) have rarely few samples.

  • General Object Detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos.

  • Weakly Supervised Learning (WSL), especially Multi-Instance Learning (MIL), is a variation on supervised learning. Instead of receiving a set of instances which are individually labeled, the learner receives a set of labeled bags, each containing many instances.

  • Bag-of-Words Model (BoW) can be applied to image related tasks by encoding local visual descriptors of one image into a high dimensional vector. In BoW, there also include Vector of the Locally Aggregated Descriptors (VLAD) and Fisher Vector (FV).

Selected Publications

My papers are available for download in this Publications page, and here is my Google Scholar Citations profile.

Professional Activities (Selected)

Young Scientists Committee

  • Journal of Image and Graphics (中国图象图形学报), Dec. 2020 -

Program Chair / Co-Chair

Publicity Chair

Area Chair / Senior PC

Program Committee Member

Journal Reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

  • IEEE Transactions on Image Processing (TIP)

  • Springer Journal of Machine Learning (MLJ)

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

  • IEEE Transactions on Multimedia (TMM)

  • Elsevier Journal of Neural Networks (NN)

  • Elsevier Journal of Pattern Recognition (PR)

  • SCIENCE CHINA Information Sciences

  • 自动化学报

  • 软件学报

  • 电子学报



Xiu-Shen WEI
School of Computer Science and Engineering
Nanjing University of Science and Technology
Nanjing 210094, China


Rm 4063-1, Building of Computer Science and Engineering, Xiaolingwei 200, Nanjing 210094, China


+86-025-8431-5017 (Ext Number: 8230/ 分机号: 8230)