Detecting activities at metro stations using smartphone sensors. - Aanchal Mongia; Venkata M. V. Gunturi; Vinayak Naik (COMSNETS, 2018)

Deep Latent Factor Model for Predicting Drug Target Interactions. - Aanchal Mongia; Vidit Jain; Emilie Chouzenoux; Angshul Majumdar (ICASSP, 2019)

Matrix completion on multiple graphs: Application in collaborative filtering. - Aanchal Mongia; Angshul Majumdar (Signal Process., 2019)

Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. - Aanchal Mongia; Angshul Majumdar (ICASSP, 2020)

Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. - Aanchal Mongia; Vidit Jain; Angshul Majumdar (ICONIP (4), 2020)

deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. - Aanchal Mongia; Debarka Sengupta; Angshul Majumdar (J. Comput. Biol., 2020)

Deep latent factor model for collaborative filtering. - Aanchal Mongia; Neha Jhamb; Emilie Chouzenoux; Angshul Majumdar (Signal Process., 2020)

Matrix completion on learnt graphs: Application to collaborative filtering. - Aanchal Mongia; Angshul Majumdar (Expert Syst. Appl., 2021)

Binary matrix completion on graphs: Application to collaborative filtering. - Divyanshu Talwar; Aanchal Mongia; Emilie Chouzenoux; Angshul Majumdar (Digit. Signal Process., 2022)

DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. - Aanchal Mongia; Stuti Jain; Emilie Chouzenoux; Angshul Majumdar (J. Comput. Biol., 2022)

Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. - Aanchal Mongia; Emilie Chouzenoux; Angshul Majumdar (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

CREAMMIST: an integrative probabilistic database for cancer drug response prediction. - Hatairat Yingtaweesittikul; Jiaxi Wu; Aanchal Mongia; Rafael Peres; Karrie Ko; Niranjan Nagarajan; Chayaporn Suphavilai (Nucleic Acids Res., 2023)