| 2024 | KDD | Scalable Graph Learning for your Enterprise. | Hema Raghavan |
| 2020 | SDM | On the Information Unfairness of Social Networks. | Zeinab S. Jalali, Weixiang Wang, Myunghwan Kim, Hema Raghavan, Sucheta Soundarajan |
| 2019 | WWW | SWeG: Lossless and Lossy Summarization of Web-Scale Graphs. | Kijung Shin, Amol Ghoting, Myunghwan Kim, Hema Raghavan |
| 2018 | KDD | Building Near Realtime Contextual Recommendations for Active Communities on LinkedIn. | Hema Raghavan |
| 2018 | WWW | Discovering Progression Stages in Trillion-Scale Behavior Logs. | Kijung Shin, Mahdi Shafiei, Myunghwan Kim, Aastha Jain, Hema Raghavan |
| 2014 | COLING | Query-Focused Opinion Summarization for User-Generated Content. | Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli |
| 2014 | WWW | Joint question clustering and relevance prediction for open domain non-factoid question answering. | Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan |
| 2013 | ACL | A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. | Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie |
| 2013 | NAACL | Finding What Matters in Questions. | Xiaoqiang Luo, Hema Raghavan, Vittorio Castelli, Sameer Maskey, Radu Florian |
| 2012 | CIKM | Learning to rank for robust question answering. | Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan |
| 2012 | SIGIR | Distilling and exploring nuggets from a corpus. | Vittorio Castelli, Hema Raghavan, Radu Florian, Ding-Jung Han, Xiaoqiang Luo, Salim Roukos |
| 2010 | CIKM | Probabilistic first pass retrieval for search advertising: from theory to practice. | Hema Raghavan, Rukmini Iyer |
| 2010 | WSDM | Improving ad relevance in sponsored search. | Dustin Hillard, Stefan Schroedl, Eren Manavoglu, Hema Raghavan, Chris Leggetter |
| 2009 | CIKM | A collaborative filtering approach to ad recommendation using the query-ad click graph. | Tasos Anastasakos, Dustin Hillard, Sanjay Kshetramade, Hema Raghavan |
| 2009 | WWW | Discovering users' specific geo intention in web search. | Xing Yi, Hema Raghavan, Chris Leggetter |
| 2009 | SIGIR | A relevance model based filter for improving ad quality. | Hema Raghavan, Dustin Hillard |
| 2007 | IJCAI | Interactive Clustering of Text Collections According to a User-Specified Criterion. | Ron Bekkerman, Hema Raghavan, James Allan, Koji Eguchi |
| 2007 | SIGIR | An interactive algorithm for asking and incorporating feature feedback into support vector machines. | Hema Raghavan, James Allan |
| 2005 | IJCAI | InterActive Feature Selection. | Hema Raghavan, Omid Madani, Rosie Jones |
| 2005 | NAACL | Matching Inconsistently Spelled Names in Automatic Speech Recognizer Output for Information Retrieval. | Hema Raghavan, James Allan |
| 2002 | SIGIR | Using part-of-speech patterns to reduce query ambiguity. | James Allan, Hema Raghavan |