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Yilin Wang
Research Scientist 2
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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
| 2018 | 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] - 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) - 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) - 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) - 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 - 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] - 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) - 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] - Image Co-segmentation via Multi-task Learning
Qiang Zhang, Jiayu Zhou,Yilin Wang, Jieping Ye,Baoxin Li.
British Machine Vision Conference (BMVC 2014) [Paper]
2021
2020
2019
2018
2017
2016
2015
2014
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:
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