Yixin Gao

Hello! I am a Ph. D. candidate in Department of Computer Science at the Johns Hopkins University. My research includes on machine learning and pattern recognition on complex time series data, especially data from medical and surgical domains that involve intervention on patients. Currently I am working on unsupervised structure discovery from surgical tool motion. My adivsors are Prof. Sanjeev Khudanpur and Prof. Gregory Hager.

Before joining Hopkins, I obtained my master's and bachelor's degrees in electrical engineering from Xi'an Jiaotong University, where I worked on image/video data compression and unified speech and audio coding schemes.

Here is my resume in pdf.

Research Interests

Machine learning (deep learning, graphical models, time series analysis), Data science, Robotics, Computer vision, Natural language processing.


12/2016 (Expected)   Ph. D.   Computer Science, Johns Hopkins University
08/2011  M. S. E.  Computer Science, Johns Hopkins Unviersity
07/2009  M. S. E.  Electrical Engineering, Xi'an Jiaotong University
07/2006  B. S.  Electrical Engineering, Xi'an Jiaotong University


  • Data Scientist Intern (05/2016 - 08/2016), Intuitive Surgical Inc., Sunnyvale, CA
  • Teaching Assisitant (09/2013 - 05/2016), Department of Computer Science, Johns Hopkins Unviersity (Excellent Teaching Award)
  • Introduction to algorithms
    Algorithms for sensor-based robotics
    Computational theory and automata
    Information retrieval and web agents.
  • Research Assisitant (01/2012-), CIRL Lab, Johns Hopkins Unviersity
  • Query-by-example surgical activity detection.
    Surgical activity alignment
    Surgical motion spotting
    Surgical activity classification
  • Research Assisitant (09/2009 - 12/2011), VISR Lab, Johns Hopkins Unviersity
  • Cross-platform surgical training and evaluation.
  • Research Assisitant (09/2006 - 07/2009), SIGPRO Lab, Xi'an Jiaotong University
  • Unified speech and audio coding
    Biorthogonal frequency-varying modulated lapped transform
    ROI-based error resilient coding of H.264
    Please check out my Projects page for more details.

    Selected Publications

  • Yixin Gao, S Swaroop Vedula, Gyusung Lee, Mija Lee, Sanjeev Khudanpur and Gregory D Hager, Query-by-Example Surgical Activity Detection, Information Processing in Computer Assisted Interventions (IPCAI) 2016
  • Yixin Gao, S Swaroop Vedula, Gyusung Lee, Mija Lee, Sanjeev Khudanpur and Gregory D Hager, Unsupervised Surgical Signal Align- ment with Application to Automatic Activity Annotation, IEEE International Conference on Robotics and Automation (ICRA) 2016
  • S. Swaroop Vedula, Anand O. Malpani, Lingling Tao, George Chen, Yixin Gao, Piyush Poddar, Narges Ahmidi, Christopher Paxton, Rene Vidal, Sanjeev Khudanpur, Gregory D. Hager, Chi Chiung Grace Chen, Analysis of the structure of surgical activity for a suturing and knot-tying task, PLoS ONE 11(3): e0149174. doi:10.1371/journal.pone.0149174
  • Yixin Gao, S Swaroop Vedula, Carol E Reiley, Narges Ahmidi, Balakrishnan Varadarajan, Henry C Lin, Lingling Tao, Luca Zappella, Benjamin Bejar, David D Yuh, Chi Chiung Grace Chen, Rene Vidal, Sanjeev Khudanpur, Gregory D Hager, JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS): A Surgical Activity Dataset for Human Motion Modeling, Fifth Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI), 2014 The JIGSAWS dataset
  • Narges Ahmidi, Yixin Gao, Benjamín Bejar, S Swaroop Vedula, Sanjeev Khudanpur, René Vidal, Gregory D Hager, String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery, Medical Image Computing and Computer-Assisted Intervention–MICCAI 26-33, 2013
  • Yixin Gao, Mert Sedef, Amod Jog, Peter Peng, Michael Choti, Gregory Hager, Jeff Berkley, Rajesh Kumar, Towards validation of robotic surgery training assessment across trainng platforms. IEEE Intelligent Robots and Systems (IROS) , 2011
  • Fan Li, Yixin Gao, ROI-based error resilient coding of H.264 for conversational video communication 7th International Conference Wireless Communications and Mobile Computing (IWCMC), pp. 1719-1723, 2011
  • Yixin Gao, Russell H Taylor and Rajesh Kumar, A modular architecture for biomanipulation. 2010 MICCAI workshop on Systems and Architectures for Computed Assisted Intervention, MIDAS Journal (available online http://hdl.handle.net/10380/3195) , Sept. 22 - Sept. 26, 2010
  • Yixin Gao, Guizhong Liu, Biorthogonal frequency-varying modulated lapped transform, Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on pp. 209-212, June 28 - July 3, 2009.
  • Here is my Google Scholar Citations page.


    Email: yxgao@jhu.edu
    Mail Address:
    Malone Hall 340
    3400 N Charles St,
    Johns Hopkins University
    Baltimore, MD 21218, USA