Publications

Google Scholar Profile
(* denotes equal contribution)

Under Double-blind Review and Preprints

[1] B. Zhang and R. Picard. 2022. Personalized stress, mood, and health forecast with physiology data: A dynamical system approach. Submitted.

Peer-reviewed Conferences

[1] 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.

Journal Articles

[1] 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

[1] 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).

[2] 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).

[3] 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).

[4] 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).