What's New

[2021.07] One paper is accepted by ACM MM'21.
[2020.12] Our paper is accepted by SDM'21.
[2020.05] Our paper is accepted by ICDM'20.
[2020.03] We release the code for DA-GAN (accepted by FG 2020) at Github_DA-GAN.
[2020.03] Our paper is accepted by FG'20.
[2019.12] We release the code for JASRNet (accepted by AAAI 2020) at Github_JASRNet.
[2019.11] Our paper is accepted by AAAI'20.
[2019.08] Our paper is accepted by Expert Systems With Applications (IF: 4.292).
[2019.02] Our paper is accepted by IEEE Journal of Translational Engineering in Healthand Medicine (JTEHM).
[2018.10] Our paper is accepted by IEEE Journal of Translational Engineering in Healthand Medicine (JTEHM).
[2018.06] Our paper is accepted by IJCAI Workshop'18.
[2017.10] Our paper is accepted by IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT'17).

Biography

I am a third-year Ph.D. student at Department of Electrical & Computer Engineering, Northeastern University, and work with Prof. Yun (Raymond) Fu in the SMILE Lab. Before that I received my master degree in Electrical & Computer Engineering from Northeastern University in Dec. 2018, and B.E degree from School of Electronic Engineering, Wuhan University of Technology, China, in Jul. 2016. From Fall 2016, I was a member of the Augmented Cogniton (AClab), under the supervision of my advisor Prof. Sarah Ostadabbas. My research interest broadly includes image processing (i.e., super-resolution, face generation), visual recognition (i.e., face recognition, pose estimation, face alignment, and emotion recognition), and biosignal processing.


Education


Publications

  • Preprints:
    • Generating Topological Structure of Floorplans from Room Attributes (first author submission).
    • Multimodal In-bed Pose and Shape Estimation under the Blankets (first author submission).
    • Collaborative Attention Mechanism for Multi-View Action Recognition (collaborating with others).
  • SuperFront: From Low-resolution Image to High-resolution Frontal Face Sythesis
  • Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qi, and Yun Fu
    Proceedings of the ACM Multimedia Conference (MM'21).
    arXiv Code
  • Opposite Structure Learning for Semi-supervised Domain Adaptation
  • Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, and Yun Fu
    Proceedings of the SDM Conference (SDM'21).
    arXiv Code
  • Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation
  • Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, and Yun Fu
    Proceedings of the SDM Conference (ICDM'20).
    paper
  • Dual-Attention GAN for Large-Pose Face Frontalization
  • Yu Yin, Songyao Jiang, Joseph P. Robinson, and Yun Fu
    Proceedings of the FG Conference (FG'20).
    arXiv Code
  • Joint Super-Resolution and Alignment of Tiny Faces
  • Yu Yin, Joseph P. Robinson, Yulun Zhang, and Yun Fu
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'20).
    arXiv Abstract Code
  • Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience
  • Yu Yin, Mohsen Nabian, Miolin Fan, ChunAn Chou, Maria Gendron, and Sarah Ostadabbas
    Affective Computing Workshop of the International Joint Conferences on Artificial Intelligence (IJCAI Workshop'18).
    arXiv Abstract Code Demo Slides
  • A Biosignal-Specific Processing Tool for Machine Learning and Pattern Recognition
  • Yu Yin, Mohsen Nabian, Athena Nouhi, and Sarah Ostadabbas
    IEEE-NIH Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (HI-POCT'17).
    PDF Abstract Matlab Code Poster
  • In-Bed Pose Estimation: Deep Learning with Shallow Dataset
  • Shuangjun Liu, Yu Yin, and Sarah Ostadabbas
    IEEE Journal of Translational Engineering in Health and Medicine (JTEHM), vol. 7, no. 1, pp. 1-12, Jan. 2019.
    arXiv Abstract Code Project
  • Analysis of Multimodal Physiological Signals Within and Across Individuals to Predict Psychological Threat vs. Challenge
  • Aya Khalaf, Mohsen Nabian, Miaolin Fan, Yu Yin, Jolie Wormwood, Erika Siegel, Karen S. Quigley, Lisa Feldman Barrett, Murat Akcakaya, Chun-An Chou, and Sarah Ostadabbas
    Expert Systems With Applications (ESWA), vol. 140, Feb. 2020.
    psyarXiv Abstract
  • An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data
  • Mohsen Nabian, Yu Yin, Jolie Wormwood, Karen S. Quigley, Lisa F. Barrett, and Sarah Ostadabbas
    IEEE Journal of Translational Engineering in Health and Medicine (JTEHM), vol. 6, Oct. 2019.
    PDF Abstract Matlab Code

Awards

  • AAAI Travel Grant, 2020
  • PhD Network Travel Grant, Northeastern University, USA, 2019
  • Excellent Bachelor Thesis of Wuhan University of Technology, 2016
  • Scholarship of Wuhan University of Technology, 2013, 2014, 2015

Activities

  • Instructor
    • Instructor of Data Visualization course (EECE 5642), Northeastern University, USA, 2021 Spring
  • Teaching Assistance
    • TA of Computer Vision, 2018 Fall
  • Reviewers
    • IEEE Transactions on Image Processing
    • IEEE Transactions on Neural Networks and Learning Systems
    • Information Sciences (Elsevier)

Created on 2017/10/01. Last update : 2021/9/1