Yilin Wang

Senior Research Scientist
PHD Student
Adobe

Email:
Links:

Short Biography

I obtained my PhD from Arizona State Unviersity in 2018, My advisor is Prof. Baoxin Li. I am interested in solving real world problems using computer vision and machine learning. At Adobe, I work on research related to deep learning and tech transferred several projects to Adobe Products.

Before joined to Adobe, I am lucky to have opportunities to work with Huan Liu (Arizona State), Jiliang Tang (Michigan State), Guojun Qi (Central Florida), Zhaowen Wang (Adobe Research), Zhe Lin (Adobe Research), Xin Lu (Adobe Research), Xiaohui Shen (Adobe Research), Yi Chang Yahoo Research), Neil O'Hare (Yahoo Research), and Liangda Li (Yahoo Research).

Experiences

2017 May ~ Aug Adobe Research   Deep Learning Team in Imaging Lab.
2016 May ~ Aug Yahoo Research   Search Revlance Team in Yahoo! Search.
2013 ~ Present Arizona State University   Research Assistant.

Media Coverage for My Research

2023 Conversational Image Editing
2022 Photoshop Selection Improvement
2021 PhotoshopCafe Photoshop Object finder(14%MAU!)
2019 Adobe Blog Select Subject on iPad
2018 Adobe Blog Style Transfer in Adobe
2015 Wired Magzine Sentiment Analysis on Flickr and Instagram
2014 ASU News Tactile photographs: 'Seeing' by touching
2014 ABC News Printed Photos the Blind Can 'See'

Selected Publications

For the full publication list see Yilin's CV.

      • Hierarchical Attention Network for Action Recognition in Videos
        Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang and Baoxin Li.
        preprint 2016[arXiv]
      • Meticulous Object Segmentation
        Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan Yuille.
        preprint (new version is coming) 2020[arXiv]

      2023

      • LightPainter: Interactive Portrait Relighting with Freehand Scribble
        IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)
      • Interactive Portrait Harmonization
        IEEE Conference on Learning Representations (ICLR 2023)

      2022

      • Lite Vision Transformer with Enhanced Self-Attention.
        Chenglin Yang,Yilin Wang,Jianming Zhang, He Zhang, Zijun Wei,Zhe Lin, Alan Yuille
        IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022) [arXiv] [code]

      2021

      • SSH: A Self-Supervised Framework for Image Harmonization
        IEEE Conference on Computer Vision (ICCV 2021)
      • Mask Guided Matting via Progressive Refinement Network
        Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan Yuille
        IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)
      • Multimodal Contrastive Training for Visual Representation Learning
        Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
        IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

      2020

      • Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
        Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang
        European Conference on Computer Vision (ECCV 2020)
      • Shape Adaptor: A Learnable Resizing Module
        Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
        European Conference on Computer Vision (ECCV 2020)

      2019

      • Multimodal Style Transfer via Graph Cuts
        Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang
        International Conference on Computer Vision (ICCV 2019)

      2018

      • Generalizing Graph Matching beyond Quadratic Assignment Model
        Tianshu Yu, Junchi Yan,Yilin Wang, Wei Liu, Baoxin Li
        International Conference on Neural Information Processing Systems(NIPS 2018)
      • Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network
        Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
        IEEE Winter Conf. on Applications of Computer Vision (WACV 2018)[paper]
      • CrossFire: Cross Media Joint Friend and Item Recommendations
        Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
        ACM International Conference on Web Search and Data Mining (WSDM 2018)(spotlight)[paper]
      • Understanding and Predicting Delay in Reciprocal Relations
        Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu.
        In Proceedings of the 27th International Conference on World Wide Web (WWW 2018)(Research Track) [arXiv]
      • Exploring Hierarchical Structures for Recommender Systems
        Suhang Wang, Jiliang Tang, Yilin Wang and Huan Liu
        IEEE Transactions on Knowledge and Data Engineering

      2017

      • CLARE:A Joint Approach to Label Classification and Tag Recommendation
        Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu, Baoxin Li
        AAAI Conference on Artificial Intelligence (AAAI 2017) (oral)[paper][code]
      • Understanding and Discovering Deliberate Self-harm Content in Social Media
        Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare and Yi Chang
        International Conference on World Wide Web (WWW 2017)(Research Track)[paper] [slides]
      • Exploiting Hierarchical Structures for Unsupervised Feature Selection
        Suhang Wang, Yilin Wang, Jiliang Tang, Charu Aggarwal, Suhas Ranganath, Huan Liu
        SIAM International Conference on Data Mining (SDM2017) [paper]
      • What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation
        Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath and Huan Liu
        International Conference on World Wide Web (WWW 2017)(Research Track)[paper]

      2016

      • PPP:Joint Pointwise and Pairwise Image Label Prediction
        Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
        IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2016) [Paper]
      • Efficient Unsupervised Abnormal Crowd Activity Detection Based on a Spatiotemporal Saliency Detector
        Yilin Wang, Qiang Zhang,Baoxin Li
        IEEE Winter Conference on Applications of Computer Vision (WACV 2016) [Paper][code]
      • Scale Adaptive Eigen Eye for Fast Eye Detection in Wild Web Images
        Xu Zhou, Yilin Wang, Peng Zhang, Baoxin Li
        IEEE International Conference on Image Proccessing (ICIP 2016)

      2015

      • Sentiment Analysis for Social Meida Images
        Yilin Wang, Baoxin Li
        IEEE International Conference on Data Mining
        ICDM(PhD forum) 2015
      • Real Time Vehicle Back up Warning System with Single Camera
        Yilin Wang, Jun Cao, Baoxin Li
        IEEE International Conference on Image Proccessing (ICIP 2015) [Paper]
      • Unsupervised Sentiment Analysis for Social Media Images
        Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
        International Joint Conference on Artificial Intelligence (IJCAI 2015) [Paper] [Project]
      • Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach
        Yilin Wang, Yuheng Hu, Subbarao Kambhampati, Baoxin Li.
        International AAAI conference on Web and Social Media (ICWSM 2015)(oral) [Paper]
      • Structure Preserving Image Quality Assessment
        Yilin Wang, Qiang Zhang, Baoxin Li.
        IEEE International Conference on Multimedia and Expo
        ICME(oral) 2015 [Paper]
      • Exploring Implicit Hierarchical Structure for Recommender Systems
        Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
        International Joint Conference on Artificial Intelligence (IJCAI 2015) [Paper]
      • Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection
        Parag S. Chandakkar, Yilin Wang, Baoxin Li.
        IEEE Winter Conference on Applications of Computer Vision (WACV 2015) [Paper]

      2014

      • Image Co-segmentation via Multi-task Learning
        Qiang Zhang, Jiayu Zhou,Yilin Wang, Jieping Ye,Baoxin Li.
        British Machine Vision Conference (BMVC 2014) [Paper]


    Award

    2017 ASU Graduate Fellowship
    2016,2017 ASU CIDSE Travel Award
    2017 ASU Graduate Travel Award
    2015 ICDM PhD forum Travel Award
    2015 ICWSM Travel Award
    2015 ICIP Travel Award

    Service

    Yilin as regularly reviews manuscripts for the following journals: IEEE Transactions on Machine Learnign and Application (TMLA), IEEE Transactions on Signal Processing Letters (TSPL), IEEE Information Science (IS), IEEE Transaction on Image Processing (TIP), IEEE Transaction on Multimedia (TIP), IEEE on Data Mining and Knowledge Engineering (TKDE), Machine Vision and Applications (MVAP), Neurocomputing (NEUCOM). Yilin also served as TPC/S-TPC in the following major conferences:

    2021 Reviewer CVPR, ICCV, ICML, Area Chair ACM Multimedia, Senior Committee IJCAI
    2020 Reviewer CVPR, ECCV, NIPS, Area Chair ACM Multimedia
    2019 Reviewer CVPR, ICCV ,AAAI and WACV
    2018 Reviewer CVPR, AAAI and WACV
    2017 Reviewer ICCV, SIGIR, PC member for ICMR and WACV
    2016 Reviewer ASONAM, NIPS, PC member for AIRS,KDD volunteer
    2016 PC Member 25th International Joint Conference on Artificial Intelligence (IJCAI)
    2016 Reviewer IEEE Winter Conference on Application of Computer Vision (WACV)
    2015 PC Member 24th International Joint Conference on Artificial Intelligence (IJCAI)
    2015 Extend Reviewer IEEE Conference on Data Mining (ICDM)
    2015 Extend Reviewer 29th Conference on Artificial Intelligence (AAAI)
    2015 Reviewer IEEE Winter Conference on Application of Computer Vision (WACV)
    Last updated on Feb 2016.
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