Weichen Wang

weichen dot wang dot gr at dartmouth dot edu

What's New

  • Nov. 2017: Our study is reported by Valley News.
  • Oct. 2017: Project kick-off at UW, Seattle (Mobile RDoC). The project uses smartphone technology to understand auditory verbal hallucinations.
  • Sep. 2017: Launch an new NIH study at Dartmouth. The study will follow a large cohort of participants over their four years of college to assess how changes in self- affect are predicted by relevant brain networks as well as how those networks change over time.
  • Sep. 2017: Great time at Ubicomp'17, Maui. Rui presented our work in predicting symptom trajectories of schizophrenia using mobile sensing.
  • Jun. 2016: Start to work in the EUREKA NIH project which trys to achieve illness monitoring in schizophrenia from the behavioral data collected using smartphones.
  • Sep. 2015: Join the Dartnets Lab and start my research on mobile sensing on smartphones.
  • About me

    I am a Ph.D. student at the Department of Computer Science at Dartmouth College. I am a member of the DartNets (Dartmouth Networking and Ubiquitous Systems) Lab, under the supervision of Prof. Andrew T. Campbell. Before joining Dartmouth, I had 3 years industrial experience at KLab and Works Applications as a software engineer. I obtained my Master's degree from Waseda University under the supervision of Prof. Satoshi Goto. My obtained my bachelor's degree in Software Engineering in Nanjing University in China.

    My Research

    Area: ubiquitous computing, mobile sensing, behavioral modeling, social computing, mobile health and data mining

    My current research focuses on developing mobile sensing systems to understand human behaviors and perform health-oriented analysis and prediction.


    Rui Wang, Weichen Wang, Min S. H. Aung, Dror Ben-Zeev, Rachel Brian, Andrew T. Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Emily A. Scherer, and Megan Walsh. 2017. Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing. PACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 110 (September 2017). (Presented at Ubicomp 2017)

    Gabriella M. Harari, Weichen Wang, Sandrine R. Müller, Rui Wang, and Andrew T. Campbell. 2017. Participants' compliance and experiences with self-tracking using a smartphone sensing app. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM, New York, NY, USA, 57-60.

    Ben-Zeev, Dror, Rachel Brian, Rui Wang, Weichen Wang, Andrew T. Campbell, Min SH Aung, Michael Merrill et al. "CrossCheck: Integrating Self-Report, Behavioral Sensing, and Smartphone Use to Identify Digital Indicators of Psychotic Relapse." (2017).

    Wenxin Yu, Weichen Wang, Jiu Xu, Liang Yu,”FrameCompatibleFormatFast Encoder with Stereo Matching”, IEEE International Symposium on Circuits and Systems (ISCAS), pp.2529–2532, May. 2015

    Jialing Wu, Weichen Wang. ”Research on Japan’s Mobile Social-gaming Industry”, 2014 International Conference on Digital Future and Mediated Society: Digital Media and Cultural Communication. May. 2014

    Wenxin Yu, Weichen Wang, Gang He, Satoshi Goto, ”CombinedHole-Filling with Spatial and Temporal Prediction”, The International Conference on Image Processing (ICIP), pp.3196–3200, Sep. 2013

    Wenxin Yu, Weichen Wang, ZhengyanGuo and SatoshiGoto, ”AnIntegrated Hole-filling Algorithm for View Synthesis”, The Institute of Electronics, Information and Communication Engineers (IEICE), Vol.E96-A, No.6, Jun. 2013

    Wenxin Yu, Weichen Wang, Zhengyan Guo and Satoshi Goto, ”An Integrated Hole-Filling Algorithm for View Synthesis”, Pacific-Rim Conference on Multi- media (PCM), LNCS 7674, pp.80–92, Dec. 2012