Disguise detection and face recognition in visible and thermal spectrums. - Tejas I. Dhamecha; Aastha Nigam; Richa Singh 001; Mayank Vatsa (ICB, 2013)

Large-scale learning with AdaGrad on Spark. - Asmelash Teka Hadgu; Aastha Nigam; Ernesto Diaz-Aviles (IEEE BigData, 2015)

Social context perception for mobile robots. - Aastha Nigam; Laurel D. Riek (IROS, 2015)

Link Prediction in a Semi-bipartite Network for Recommendation. - Aastha Nigam; Nitesh V. Chawla (ACIIDS (2), 2016)

Connecting the dots to infer followers' topical interest on Twitter. - Aastha Nigam; Salvador Aguiñaga; Nitesh V. Chawla (BESC, 2016)

Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring. - Aastha Nigam; Henry K. Dambanemuya; Madhav Joshi; Nitesh V. Chawla (Big Data, 2017)

ONE-M: Modeling the Co-evolution of Opinions and Network Connections. - Aastha Nigam; Kijung Shin; Ashwin Bahulkar; Bryan Hooi; David Hachen; Boleslaw K. Szymanski; Christos Faloutsos; Nitesh V. Chawla (ECML/PKDD (2), 2018)

Beyond Who and What: Data Driven Approaches for User Characterization. - Aastha Nigam (WSDM, 2018)

Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANs. - Munira Syed; Jermaine Marshall; Aastha Nigam; Nitesh V. Chawla (CSoNet, 2019)

Characterizing online health and wellness information consumption: A study. - Aastha Nigam; Reid A. Johnson; Dong Wang 002; Nitesh V. Chawla (Inf. Fusion, 2019)

LiMAML: Personalization of Deep Recommender Models via Meta Learning. - Ruofan Wang; Prakruthi Prabhakar; Gaurav Srivastava 001; Tianqi Wang; Zeinab S. Jalali; Varun Bharill; Yunbo Ouyang; Aastha Nigam; Divya Venugopalan; Aman Gupta; Fedor Borisyuk; S. Sathiya Keerthi; et al. (KDD, 2024)