| 2018 | CICLING | Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. | Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann |
| 2016 | CICLING | Developing a Concept-Level Knowledge Base for Sentiment Analysis in Singlish. | Rajiv Bajpai, Danyuan Ho, Erik Cambria |
| 2016 | COLING | SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives. | Erik Cambria, Soujanya Poria, Rajiv Bajpai, Bjrn W. Schuller |
| 2016 | ICDM | Bayesian Deep Convolution Belief Networks for Subjectivity Detection. | Iti Chaturvedi, Erik Cambria, Soujanya Poria, Rajiv Bajpai |
| 2016 | ICDM | The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection. | Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai |
| 2016 | ICDM | Modeling Satire in English Text for Automatic Detection. | Aishwarya N. Reganti, Tushar Maheshwari, Upendra Kumar, Amitava Das, Rajiv Bajpai |
| 2015 | CICLING | The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. | Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi |
| 2015 | ICDM | Lexical Resource for Medical Events: A Polarity Based Approach. | Anupam Mondal, Iti Chaturvedi, Dipankar Das, Rajiv Bajpai, Sivaji Bandyopadhyay |
| 2012 | SOFTCOM | Efficient implementation of packet pre-filtering for scalable analysis of IP traffic on high-speed lines. | Paolo Lambruschini, Marco Raggio, Rajiv Bajpai, Abhishek Sharma |