Google Scholar Profile
(* denotes equal contribution)
Under Double-blind Review and Preprints
 Zhang, B. and Picard, R. 2022. One conference manuscript under double-blind review. International conference on affective computing and intelligent interaction (ACII 2022) (2022).
 Acharyya, R., A. Chattoraj*, B. Zhang*, Das, S. and Štefankovič, D. 2021. Statistical mechanical analysis of neural network pruning. Uncertainty in artificial intelligence (2021), 1988–1997.
 Zhang, B., Zaman, A., Silenzio, V., Kautz, H. and Hoque, E. 2020. The relationships of deteriorating depression and anxiety with longitudinal behavioral changes in google and YouTube use during COVID-19: Observational study. JMIR Mental Health. (Nov. 2020).
Workshops and Posters
 Acharyya, R., A. Chattoraj*, B. Zhang*, Das, S. and Stefankovic, D. 2021. Understanding diversity based neural network pruning in teacher student setup. Neural compression: From information theory to applications – workshop @ ICLR 2021 (2021).
 Acharyya, R., Zhang, B., Chattoraj, A., Das, S. and Stefankovic, D. 2021. Diversity based edge pruning of neural networks using determinantal point processes. Neural compression: From information theory to applications – workshop @ ICLR 2021 (2021).
 Zaman, A., Zhang, B., Silenzio, V., Hoque, E. and Kautz, H. 2021. Individual-level anxiety detection and prediction from longitudinal YouTube and google search engagement logs. Workshop on data for the wellbeing of most vulnerable at ICWSM 2021 (2021).
 Zhang, B., Zaman, A., Acharyya, R., Hoque, E., Silenzio, V. and Kautz, H. 2020. Detecting individuals with depressive disorder from personal google search and YouTube history logs. Workshop on machine learning in public health at NeurIPS 2020 (Oct. 2020).