| 2024 | EACL | CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations. | Samraj Moorjani, Adit Krishnan, Hari Sundaram |
| 2024 | EMNLP | Learning from Natural Language Explanations for Generalizable Entity Matching. | Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Luyang Kong |
| 2024 | EMNLP | BPID: A Benchmark for Personal Identity Deduplication. | Runhui Wang, Yefan Tao, Adit Krishnan, Luyang Kong, Xuanqing Liu, Yuqian Deng, Yunzhao Yang, Henrik Johnson, Andrew Borthwick, Shobhit Gupta, Aditi Gundlapalli, Davor Golac |
| 2022 | EMNLP | Audience-Centric Natural Language Generation via Style Infusion. | Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar |
| 2022 | PAKDD | Multi-task Knowledge Graph Representations via Residual Functions. | Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram |
| 2021 | RecSys | ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. | Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram |
| 2021 | SIGIR | Ranking User-Generated Content via Multi-Relational Graph Convolution. | Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter |
| 2020 | ICDM | Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. | Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram |
| 2020 | WWW | Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. | Yuxin Xiao, Adit Krishnan, Hari Sundaram |
| 2020 | SIGIR | Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. | Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram |
| 2020 | WSDM | Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. | Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han |
| 2019 | CIKM | A Modular Adversarial Approach to Social Recommendation. | Adit Krishnan, Hari Cheruvu, Tao Cheng, Hari Sundaram |
| 2019 | IJCNN | RASE: Relationship Aware Social Embedding. | Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang |
| 2018 | CIKM | Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity. | Adit Krishnan, Ashish Sharma, Hari Sundaram |
| 2018 | CIKM | An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. | Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram |
| 2017 | CIKM | Unsupervised Concept Categorization and Extraction from Scientific Document Titles. | Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han |
| 2016 | WISE | Select, Link and Rank: Diversified Query Expansion and Entity Ranking Using Wikipedia. | Adit Krishnan, Deepak Padmanabhan, Sayan Ranu, Sameep Mehta |
| 2015 | WISE | Improving Marketing Interactions by Mining Sequences. | Ritwik Sinha, Sanket Mehta, Tapan Bohra, Adit Krishnan |