| 2024 | AAAI | Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. | Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi |
| 2023 | ACL | Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. | Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz |
| 2021 | SIGIR | Ranking User-Generated Content via Multi-Relational Graph Convolution. | Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter |
| 2020 | PAKDD | CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. | Alex Morales, Kanika Narang, Hari Sundaram, Chengxiang Zhai |
| 2017 | CHIIR | Large-Scale Analysis of Email Search and Organizational Strategies. | Kanika Narang, Susan T. Dumais, Nick Craswell, Daniel J. Liebling, Qingyao Ai |
| 2013 | ECIR | Discovery and Analysis of Evolving Topical Social Discussions on Unstructured Microblogs. | Kanika Narang, Seema Nagar, Sameep Mehta, L. Venkata Subramaniam, Kuntal Dey |
| 2013 | IJCNLP | An Empirical Assessment of Contemporary Online Media in Ad-Hoc Corpus Creation for Social Events. | Kanika Narang, Seema Nagar, Sameep Mehta, L. Venkata Subramaniam, Kuntal Dey |
| 2013 | KDD | Network flows and the link prediction problem. | Kanika Narang, Kristina Lerman, Ponnurangam Kumaraguru |
| 2013 | WISE | Topical Discussions on Unstructured Microblogs: Analysis from a Geographical Perspective. | Seema Nagar, Kanika Narang, Sameep Mehta, L. Venkata Subramaniam, Kuntal Dey |