Xuehui WANG

PhD Candidate
Shanghai Jiao Tong University


Hey, this is Xuehui Wang (王雪辉). I’m a PhD student of computer science at Shanghai Jiao Tong University, China, supervised by Prof.Wei Shen and this is my third year. I wanna spend more time exploring keys of artificial intelligience. Hope I can bring some solid works to the community of computer vision! I am a dog person. Labrador Retriever, Golden Retriever and Border Collie are my favorites. I wish I can have a cute dog after obtaining the PhD degree. I spend my free time on BiliBili, a video sharing platform like YouTube, and musics. I’m a hardcore fan of DaoYueShe(盗月社食遇记).

After a struggle with anxiety disorder, I believe that health is the greatest fortune, and knowledge is our permanent pursuit.

Recently, I am interested in these areas:

  • Vision-and-Language Model
  • Instance Segmentation
  • Weakly/Self Supervised and Unsupervised Learning
  • Representation Learning

Education Experience

  • 2021/09 - now I am pursuing my PhD degree at Artificial Intelligience Institute, Shanghai Jiao Tong University (上海交通大学, SJTU), Shanghai, China. Supervisor: Prof. Wei Shen.

  • 2018/09 - 2021/06 I got my Master degree from School of Computer Science, Sun Yat-sen University (中山大学, SYSU), Guangzhou, China. Supervisor: Prof.Long Chen.

  • 2014/09 - 2018/06 I got my Bachelor degree from Schoor of Mechanical, Electrical & Information Engineering, Shandong University (山东大学, SDU), China, with great honor!

Research Experience

  • 2023/04 - now Research Intern, Shanghai AI Lab (上海人工智能实验室), Collaborate with Dr.Xue Yang.

  • 2022/02 - 2023/03 Research Intern, Huawei Cloud (华为云), Collaborate with Dr.Lingxi Xie and Dr.Dongsheng Jiang.

  • 2021/04 - 2021/11 Research Intern, Tencent YouTu Lab (腾讯优图实验室), Collaborate with Dr.Kai Zhao.

  • 2020/01 - 2021/03 Research Intern, SenseTime (商汤), Collaborate with Dr.Qiong Yan and Dr.Yuzhi Zhao.

Recent News

  • [2023/12] Two collaborative papers have been accepted to TIP and AAAI.
  • [2023/04] I begin my fourth internship at Shanghai AI Lab.
  • [2023/02] Our survey has been accepted to TPAMI
  • [2023/01] One collaborative paper about weakly-supervised rotated object detection has been accepted to ICLR 2023!
  • [2022/08] One collaborative paper about instance segmentation has been accepted to Neurocomputing (JCR Q2)!
  • [2022/07] We release a comprehensive survey for label-efficient segmentation.
  • [2022/07] One collaborative paper about night image restoration has been accepted to ECCV 2022!
  • [2022/03] One collaborative paper about generative adversarial networks has been accepted to TMM (JCR Q1)!
  • [2022/03] One paper about instance segmentation has been accepted to CVPR 2022!
  • [2022/02] I begin my third internship at Huawei.
  • [2021/09] I start my PhD life!
  • [2021/06] I obtain my Master degree from SYSU.
  • [2021/05] One paper about superpixel has been accepted to ICIP 2021!
  • [2021/04] I begin my second internship at Tencent Youtu.
  • [2021/01] I will be a PhD student in Shanghai Jiao Tong University from the fall of 2021. My dream will come true!
  • [2020/11] One paper about legacy photo editing has been accepted to WACV 2021!
  • [2020/09] One paper about Super-Resolution has been accepted to ACCV 2020, it’s my first conference paper!
  • [2020/01] I join in Sensetime Research as a computer vision intern!

Selected Publications

ContrastMask: Contrastive Learning to Segment Every Thing.

Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning.

Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, et al.

IEEE Transactions on Multimedia (TMM), 2022.

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration.

Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, and Lai-Man Po

European Conference on Computer Vision (ECCV), 2022.

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning.

Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen

Proceedings of the Asian Conference on Computer Vision (ACCV), 2020.

Academic Service

  • Conference Reviewer: CVPR’23, ECCV’22, ACCV’22, ICIP’22, WACV’21,
  • Journal Reviewer: NeuroComputing, Signal Processing


  • National Encouragement Scholarship, 2015, 2016, 2017
  • Chinese University Students’ Star of Self-improvement(about 1462 in China), 2017
  • The NXP cup National University Students Intelligent Car Race, National Award for the second prize, 2017
  • Outstanding Graduate Student in Shandong Province, 2018
  • Excellent Student Cadre in Shandong Province, 2018
  • Person of the Year in Shandong University, 2017
  • And more!