Yilin Wang

I'm a research scientist at Adobe in San Jose, where I in a team mostly works for computer vision research for Adobe Imaging proucts. .

At Adobe I am the main contributor to Instruction based Image Editing, Select Subject, Photoshop Object finder(14% MAU!), Photoshop Selection Improvement (increase 4% MAU), selet people details >, and Style Transfer. I did my PhD at Arizona State University, where I was advised by Baoxin Li. I am the core researcher for 8 tech transfer for Adobe Products such as Photoshop, Lightroom and Stardust.

Email  /  Scholar  /  Linkedin

I am looking for summer research interns on image/video editing with MLLM

News

• Feb.2025 -- Three paper accepted in CVPR 2025
• Jan.2025 -- One paper accepted in AAAI 2025
• Nov.2024 -- Select people details in Photohsop Youtube vlogger Colin Smith

Highlighted Research

I strive for simple yet scalable methods. Most of my research is about images understanding and editing. Representative papers are highlighted. See the full list

Human editing via diffusion.

Amodal Segmentation considers mutual occulusion.

A scribble-based relighting system that allows users to interactively manipulate portrait lighting effect with ease.

Interactive Harmonization for portrait photo.

light-weight vision transformer models for vision tasks.

Image Harmonization based on self-supervised learning

Mask Guided Image Matting

Intra- and inter-modal similarity preservation for multimodal representation learning.

Phd Research

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]

Miscellanea

Past
Research Interns

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