Welcome!

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 first 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).

Recently, I am interested in these areas:

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

2022/02 - now 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.

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.

Links: Project Page PDF arXiv Code Bibtex

@InProceedings{Wang_2022_CVPR_ContrastMask,
    author = {Wang, Xuehui and Zhao, Kai and Zhang, Ruixin and Ding, Shouhong and Wang, Yan and Shen, Wei},
    title = {ContrastMask: Contrastive Learning to Segment Every Thing},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {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.

Links: Project Page arXiv Code Dataset Bibtex

@Article{Zhao_2022_TMM_ChildPredictor,
        title   = {ChildPredictor: A Child Face Prediction Framework with Disentangled Learning},
        author  = {Zhao, Yuzhi and Po, Lai-Man and Wang, Xuehui and Yan, Qiong and Shen, Wei and Zhang, Yujia and Liu, Wei and Wong Chun-Kit and Pang, Chiu-Sing and Ou, Weifeng and Yu, Wing-Yin and Liu, Buhua},
        journal = {IEEE Transactions on Multimedia (TMM)},
        year    = {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.

Links: Project Page PDF Code Slide Bibtex

@InProceedings{Wang_2020_ACCV_AAF,
        author = {Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, and Long Chen.},
        title = {Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning},
        booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
        month = {November},
        year = {2020}
}

Academic Service

Conference Reviewer: WACV 2021, ICIP 2022,
Journal Reviewer: Neurocomputing, Signal Processing

Honors

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!

Xuehui WANG