Weichen Wang

Weichen Wang

Senior Research Scientist at Meta

I am presently a senior Research Scientist at Meta, specializing in machine learning for Cross-Meta Integrity.
I received my Ph.D. degree in the Department of Computer Science at Dartmouth College, where I was a member of the DartNets Lab, advised by Prof. Andrew T. Campbell.
Before that, I was a Software Engineer for 2 years at KLab and 1 year at Works Applications in Japan. I attained my Master's degree from Waseda University under the supervision of Prof. Satoshi Goto. I completed my bachelor's degree in Software Engineering from Nanjing University in China.

Research Interests

  • Human behavioral modeling using data from mobile systems and social networks.
  • Ubiquitous computing, mobile sensing applied machine learning, mobile health and data mining.
  • Mobile sensing systems, including apps on iOS and Android platforms, backend and data management.

Peer-Reviewed Publications

See Google Scholar for my citations and publications.

2024

  1. MoodCapture: Depression Detection Using In-the-Wild Smartphone Images.
    Subigya Nepal, Arvind Pillai, Weichen Wang, Tess Griffin, Amanda C. Collins, Michael Heinz, Damien Lekkas, Shayan Mirjafari, Matthew Nemesure, George Price, Nicholas C. Jacobson, Andrew T. Campbell.
    [Accepted by] Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Honolulu, May 2024 CHI Rank A*

  2. Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic.
    Subigya Nepal, Wenjun Liu, Arvind Pillai, Weichen Wang, Vlado Vojdanovski, Jeremy F. Huckins, Courtney Rogers, Meghan L. Meyer, and Andrew T. Campbell.
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol (IMWUT). 8, 1, Article 38 (March 2024) SCIIF 4.1
    To be presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'24), Melbourne, Australia, October 2024. UBICOMP Rank A*

  3. Identifying mechanisms of persecutory ideation maintenance with smartphone technology: Examining threat importance, certainty, rumination, and behavior change.
    Benjamin Buck, Justin S. Tauscher, Erica Whiting, Weichen Wang, Andrew T. Campbell, Dror Ben-Zeev.
    Psychiatry Research, Volume 333, 2024, 115751, ISSN 0165-1781. SCIIF 11.3

  4. Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones
    Arvind Pillai, Subigya Kumar Nepal, Weichen Wang, Matthew Nemesure, Michael Heinz, George Price, Damien Lekkas, Amanda C. Collins, Tess Griffin, Benjamin Buck, Sarah Masud Preum, Trevor Cohen, Nicholas C. Jacobson, Dror Ben-Zeev, and Andrew Campbell.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Volume 7, Issue 4, Article 174 (December 2023) SCIIF 4.1
    To be presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'24), Melbourne, Australia, October 2024. UBICOMP Rank A*

2023

  1. The Power of Speech in the Wild: Discriminative Power of Daily Voice Diaries in Understanding Auditory Verbal Hallucinations Using Deep Learning
    Weichen Wang, Weizhe Xu, Ayesha Chander, Subigya Nepal, Benjamin Buck, Serguei Pakhomov, Trevor Cohen, Dror Ben-Zeev, and Andrew Campbell.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Volume 7, Issue 3, Article 133 (September 2023) SCIIF 4.1
    Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'23), Cancún, Mexico, October 2023. UBICOMP Rank A*

  2. Using Smartphones to Identify Momentary Characteristics of Persecutory Ideation Associated With Functional Disability
    Benjamin Buck, Mary Wingerson, Justin S Tauscher, Matthew Enkema, Weichen Wang, Andrew T Campbell, and Dror Ben-Zeev.
    Schizophrenia Bulletin Open, Volume 4, Issue 1, January 2023, sgad021. Published: 10 August 2023. SCIIF 2.3

  3. GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling
    Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak Patel, Tim Althoff, Andrew Campbell, Anind K. Dey, and Jennifer Mankoff.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Volume 6, Issue 4, Article 190 (December 2022) SCIIF 4.1
    Distinguished Paper AwardPresented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'23), Cancún, Mexico, October 2023. UBICOMP Rank A*

2022

  1. The relationship between appraisals of auditory verbal hallucinations and real-time affect and social functioning
    Benjamin Buck, Jeffrey Munson, Ayesha Chander, Weichen Wang, Carolyn J. Brenner, Andrew T. Campbell, Dror Ben-Zeev
    Schizophrenia Research, 250, 112-119. SCIIF 4.9

  2. First-Gen Lens: Assessing Mental Health of First-Generation Students across their First Year at College using Mobile Sensing
    Weichen Wang, Subigya Nepal, Jeremy F. Huckins, Lessley Hernandez, Vlado Vojdanovski, Dante Mack, Jane Plomp, Arvind Pillai, Mikio Obuchi, Alex daSilva, Eilis Murphy, Elin Hedlund, Courtney Rogers, Meghan Meyer, and Andrew Campbell.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 6.2 (July 2022). Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'22), Atlanta, USA and Cambridge, UK, September 2022. UBICOMP Rank A*

  3. COVID Student Study: A Year in the Life of College Students during the COVID-19 Pandemic Through the Lens of Mobile Phone Sensing
    Subigya Kumar Nepal, Weichen Wang, Vlado Vojdanovski, Jeremy F Huckins, Alex daSilva, Meghan Meyer, and Andrew Campbell.
    In ACM CHI Conference on Human Factors in Computing Systems (CHI ’22), April 29-May 5, 2022, New Orleans, LA, USA. CHI Rank A*

  4. Fully automated detection of formal thought disorder with Time-series Augmented Representations for Detection of Incoherent Speech (TARDIS).
    Weizhe Xu, Weichen Wang, Jake Portanova, Ayesha Chander, Andrew Campbell, Serguei Pakhomov, Dror Ben-Zeev, and Trevor Cohen.
    In: Journal of Biomedical Informatics 126 (2022), p. 103998. issn: 1532-0464 SCIIF 6.3

2021

  1. On the Transition of Social Interaction from In-Person to Online: Predicting Changes in Social Media Usage of College Students during the COVID-19 Pandemic based on Pre-COVID-19 On-Campus Colocation.
    Weichen Wang, Jialing Wu, Subigya Kumar Nepal, Alex daSilva, Elin Hedlund, Eilis Murphy, Courtney Rogers, and Jeremy F. Huckins.
    In Proceedings of the 2021 International Conference on Multimodal Interaction (ICMI '21). 425–434. ICMIRank B

  2. Daily perceived stress predicts less next day social interaction: Evidence from a naturalistic mobile sensing study.
    daSilva, Alex W., Jeremy F. Huckins, Weichen Wang, Rui Wang, Andrew T. Campbell, Meghan L. Meyer.
    Emotion (2021). SSCIIF 5.6

  3. Current practices in mental health sensing.
    Subigya Nepal, Weichen Wang, Bishal Sharma, and Prabesh Paudel.
    XRDS 28, 1 (Fall 2021), 28–33.

  4. Mental Health and Behavior of College Students During the COVID-19 Pandemic: Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study, Part II.
    Dante L Mack, Alex W DaSilva, Courtney Rogers, Elin Hedlund, Eilis I Murphy, Vlado Vojdanovski, Jane Plomp, Weichen Wang, Subigya K Nepal, Paul E Holtzheimer, Dylan D Wagner, Nicholas C Jacobson, Meghan L Meyer, Andrew T Campbell, and Jeremy F Huckins.
    Journal of Medical Internet Research (JMIR) 2021;23(6):e28892. SCIIF 7.1

  5. Expanding the Reach of Research: Quantitative Evaluation of a Web-Based Approach for Remote Recruitment of People Who Hear Voices.
    Benjamin Buck, Ayesha Chander, Rachel M Brian, Weichen Wang, Andrew T Campbell, and Dror Ben-Zeev.
    JMIR Formative Research 5, no. 6 (2021): e23118. SCIIF 2.4

2020

  1. Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes.
    Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Mikio Obuchi, Emily Scherer, Megan Walsh, Rui Wang, Weichen Wang, and Akane Sano.
    Wireless Mobile Communication and Healthcare: 9th EAI International Conference, MobiHealth 2020, 18-33

  2. Mobile RDoC: Using Smartphones to Understand the Relationship Between Auditory Verbal Hallucinations and Need for Care.
    Dror Ben-Zeev, Benjamin Buck, Ayesha Chander, Rachel Brian, Weichen Wang, David Atkins, Carolyn J Brenner, Trevor Cohen, Andrew Campbell, and Jeffrey Munson.
    Schizophrenia Bulletin Open, Volume 1, Issue 1, January 2020, sgaa060. Published: 09 November 2020. SCIIF 9.3

  3. Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia.
    Vincent W-S Tseng, Akane Sano, Dror Ben-Zeev, Rachel Brian, Andrew T Campbell, Marta Hauser, John M Kane, Emily A Scherer, Rui Wang, Weichen Wang, Hongyi Wen, and Tanzeem Choudhury.
    Scientific Reports, 10, Article number: 15100 (2020) SCIIF 4.4

  4. Mental Health and Behavior During the Early Phases of the COVID-19 Pandemic: A Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study in College Students.
    Jeremy Huckins, Alex W DaSilva, Weichen Wang, Elin L Hedlund, Courtney Rogers, Subigya K Nepal, Jialing Wu, Mikio Obuchi, Eilis I Murphy, Meghan L Meyer, Dylan D Wagner, Paul E Holtzheimer, and Andrew T Campbell.
    Journal of Medical Internet Research (JMIR), 2020;22(6):e20185 SCIIF 7.1

  5. Investigating the relationship between mobility behaviors and subjective well-being using smartphone-based experience sampling and GPS tracking.
    Sandrine R. Müller, Heinrich Peters, Sandra C. Matz, Weichen Wang, and Gabriella M. Harari.
    European Journal of Personality, Special Issue: Behavioral Personality Science in the Age of Big Data. September 1, 2020 SSCIIF 5.8

  6. Causal Factors of Anxiety and Depression in College Students: Longitudinal Ecological Momentary Assessment and Causal Analysis Using Peter and Clark Momentary Conditional Independence.
    Jeremy F Huckins, Alex W DaSilva, Elin L Hedlund, Eilis I Murphy, Courtney Rogers, Weichen Wang, Mikio Obuchi, Paul E Holtzheimer, Dylan D Wagner, and Andrew T Campbell.
    JMIR Mental Health (JMH), 2020;7(6):e16684. SCIIF 6.3

  7. Predicting Brain Functional Connectivity Using Mobile Sensing.
    Mikio Obuchi, Jeremy F Huckins, Weichen Wang, Alex daSilva, Courtney Rogers, Eilis Murphy, Elin Hedlund, Paul Holtzheimer, Shayan Mirjafari, and Andrew Campbell.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), March 2020.
    Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'20), September 2020. IMWUT/UBICOMPRank A*

  8. Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing.
    Weichen Wang, Shayan Mirjafari, Gabriella Harari, Dror Ben-Zeev, Rachel Brain, Tanzeem Choudhury, Marta Hauser, John Kane, Kizito Masaba, Subigya Nepal, Akane Sano, Emily Scherer, Vincent Tseng, Rui Wang, Hongyi Wen, Jialing Wu, and Andrew Campbell.
    Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI'20), Honolulu, April. 2020. CHIRank A*

  9. On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial.
    Rui Wang, Weichen Wang, Mikio Obuchi, Dror Ben-Zeev, Rachel Brain, Tanzeem Choudhury, Marta Hauser, John Kane, Emily Scherer, and Andrew Campbell.
    2020 IEEE International Conference on Pervasive Computing and Communications (PerCom'20), Austin, March. 2020. PERCOMRank A*

  10. Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life.
    Gabriella M Harari, Sandrine R Müller, Clemens Stachl, Rui Wang, Weichen Wang, Markus Bühner, Peter J Rentfrow, Andrew T Campbell, and Samuel D Gosling.
    Journal of Personality and Social Psychology, 119(1), 204–228, 2020. SSCIIF 7.6

2019

  1. Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing.
    Shayan Mirjafari, Kizito Masaba, Ted Grover, Weichen Wang, Pino Audia, Andrew T. Campbell, Nitesh V. Chawla, Vedant Das Swain, Munmun De Choudhury, Anind K. Dey, Sidney K. D’Mello, Ge Gao, Julie M. Gregg, Krithika Jagannath, Kaifeng Jiang, Suwen Lin, Qiang Liu, Gloria Mark, Gonzalo J. Martinez, Stephen M. Mattingly, Edward Moskal, Raghu Mulukutla, Subigya Nepal, Kari Nies, Manikanta D. Reddy, Pablo Robles-Granda, Koustuv Saha, Anusha Sirigiri, and Aaron Striegel.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, no. 2 (2019): 37.
    Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'19), London, September 2019. IMWUT/UBICOMPRank A*

  2. Capturing behavioral indicators of persecutory ideation using mobile technology.
    Benjamin Buck, Kevin A.Hallgren, Emily Scherer, Rachel Brian, Rui Wang, Weichen Wang, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John M.Kane, and Dror Ben-Zeev
    Journal of Psychiatric Research Volume 116, September 2019, Pages 112-117. SCIIF 3.9

  3. Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report
    Benjamin Buck, Emily Scherer, Rachel Brian, Rui Wang, Weichen Wang, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John M. Kane, and Dror Ben-Zeev.
    Schizophrenia Research, Volume 208, June 2019, Pages 167-172. SCIIF 4.6

  4. Correlates of Stress in the College Environment Uncovered by the Application of Penalized Generalized Estimating Equations to Mobile Sensing Data
    Alex W DaSilva, Jeremy F Huckins, Rui Wang, Weichen Wang, Dylan D Wagner, and Andrew T Campbell.
    JMIR mHealth and uHealth (JMU), 2019, 7(3): e12084. SCIIF 4.9

  5. Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students
    Jeremy F. Huckins, Alex W. daSilva, Rui Wang, Weichen Wang, Elin L. Hedlund, Eilis I. Murphy, Richard B. Lopez, Courtney Rogers, Paul E. Holtzheimer, William M. Kelley, Todd F. Heatherton, Dylan D. Wagner, James V. Haxby, and Andrew T. Campbell.
    Frontiers in Neuroscience, Volume 13 Page 248, 21 March 2019. SCIIF 4.1

2018

  1. Predicting Symptom Trajectories of Schizophrenia Using Mobile Sensing
    Rui Wang, Weichen Wang, Min Hane Aung, Dror Ben-Zeev, Rachel Brian, Andrew T. Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Emily A. Scherer, and Megan Walsh.
    In: GetMobile: Mobile Comp. and Comm. 22.2 (Sept. 2018), pp. 32–37. issn: 2375-0529.

  2. Sensing Behavioral Change Over Time: Using Within-Person Variability Features from Mobile Sensing to Predict Personality Traits
    Weichen Wang, Gabriella M. Harari, Rui Wang, Sandrine R. Müller, Shayan Mirjafari, Kizito Masaba and Andrew T. Campbell.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Volume 3 Issue 2, September 2018.
    Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'18), Singapore, October 2018. IMWUT/UBICOMPRank A*

  3. Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing
    Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, and Andrew T. Campbell.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Volume 2 Issue 1, March 2018, Article No. 43.
    Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'18), Singapore, October 2018. IMWUT/UBICOMPRank A*

2017

  1. Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing
    Rui Wang, Weichen Wang, Min Hane Aung, Dror Ben-Zeev, Rachel Brian, Andrew Campbell, Tanzeem Choudhury, Marta Hauser, John Kane, Emily Scherer, Megan Walsh.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Volume 1 Issue 3, September 2017, Article No. 110.
    Presented at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'17), Maui, Sept. 2017. IMWUT/UBICOMPRank A*

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

  3. CrossCheck: Integrating Self-Report, Behavioral Sensing, and Smartphone Use to Identify Digital Indicators of Psychotic Relapse
    Dror Ben-Zeev, Rachel Brian, Rui Wang, Weichen Wang, Andrew T. Campbell, Min SH Aung, Michael Merrill et al.
    Psychiatric Rehabilitation Journal 40.3 (2017), pp. 266–275. SSCIIF 1.9

Non-Peer-Reviewed Articles

Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations

2023

2016

Press Coverage

Valley News Dartmouth Computer Scientist at Forefront of Sensing Revolution. November 18, 2017
University of Washington Smartphones may help predict risk of relapse in people with schizophrenia. April 23, 2019
Daily UW Smartphones may help predict relapse in schizophrenia, UW study finds. May 30, 2019
ASPPH Washington: Smartphones May Help Predict Relapse Risk in Schizophrenia. April 25, 2019
Psychiatry Advisor Social Activity Monitoring Through Smartphones May Predict Relapse in Schizophrenia. May 6, 2019
Psych Congress Smartphone Logs Have Potential to Predict Relapse in Schizophrenia. April 11, 2019
Psychiatric Times Smartphone Social Behavior and Relapse in Schizophrenia. May 3, 2019
Science Daily Phones and wearables combine to assess worker performance: Mobile-sensing and consumer tech upgrade the employee review. June 24, 2019
New Atlas Smartphones and fitness trackers used to gauge employee performance. June 25, 2019
India Times With A Fitness Band And App, This Guy Built The Perfect Employee Surveillance System. June 26, 2019
Economic Times High or low? This system evaluates employee performance based on physical, emotional well-being. June 25, 2019
The Weekend Leader New mobile tool on card to judge employee performance. June 24, 2019
EurekAlert! Phones and wearables combine to assess worker performance. June 24, 2019
Dartmouth Phones and wearables combine to assess worker performance. June 24, 2019
The Washington Post Wearable technology started by tracking steps. Soon, it may allow your boss to track your performance. June 28, 2019
TechCrunch Researchers developed a sensing system to constantly track the performance of workers. June 29, 2019
Financial Times The perils and promise of appraisal by smartphone. June 30, 2019
RetailWire Can mobile sensing tools boost worker productivity? July 1, 2019
TODAYonline The perils and promise of staff appraisal by smartphone. July 3, 2019
New Scientist Your smartwatch could check if you are being productive enough. July 3, 2019
South China Morning Post How your work performance can be monitored as easily as your health: the future of wearable tech? July 3, 2019
Gulf News World Is your boss tracking your Fitbit? Wearable technology started by tracking steps; soon it may allow your boss to track you. July 5, 2019
Boston Globe What if your boss knew how much you slept last night? July 8, 2019
Medium OneZero A New Study Suggests Employers Track Your Every Move to ‘Improve Productivity’ July 8, 2019
Bloomberg Baystate Business: Worker Issues, the MBTA (Radio) July 10, 2019
Boston Globe What makes you work harder? Strap on a sensor and find out. July 16, 2019
EJP Blog A conversation with Sandrine Müller and Heinrich Peters. May 11, 2020
The Washington Post Coronavirus has made already-stressed college students even more anxious and depressed, study finds. July 24, 2020
Science Daily COVID-19 increased anxiety, depression for already stressed college students. July 27, 2020
The GW Hatchet Study finds college students more anxious, depressed because of COVID-19. Aug 4, 2020
Medical Express Smartphones can predict brain function associated with anxiety and depression. Sept 14, 2020
Technology Networks Smartphone Data Used To Predict Brain Connectivity Linked to Anxiety. Sept 15, 2020
The Washington Post Rates of anxiety and depression among college students continue to soar, researchers say. June 10, 2021
Union Leader Dartmouth study finds pandemic led to mental health issues for students. July 11, 2021
Tuck News Using Wearable Sensors to Study Workplace Behavior. July 30, 2021
EurekAlert! Stressful day? Stress can predict decreases in social interaction. Oct 5, 2021
Medical Express Stressful day? Stress can predict decreases in social interaction, says study Oct 5, 2021
eatthis.com! This Common Issue Is Making You Anti-Social, New Study Says. Oct 12, 2021
eurekalert! Study finds deep divide on mental health impact of COVID-19: Research uses mobile technology to compare emotional well-being of college students before and during the pandemic. May 4, 2022
The Washington Post Pandemic exposed mental health divide among college students, study says. May 6, 2022