| 2025 | ACL | SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization. | Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2025 | ACL | Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey. | Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2025 | ICANN | XOOD: A Self-supervised Algorithm for Detecting Out-of-Distribution Data for Image Classification. | Frej Berglind, Magesh Rajasekaran, Md Saiful Islam Sajol, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Kumar Sricharan, Kumar Kallurupalli |
| 2024 | AISTATS | Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. | Jiaxin Zhang, Kamalika Das, Kumar Sricharan |
| 2024 | EMNLP | Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models. | Wendi Cui, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan, Jiaxin Zhang |
| 2024 | EMNLP | Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation. | Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Kumar Sricharan, Murat Kantarcioglu, Bradley A. Malin |
| 2024 | EMNLP | Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. | Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan |
| 2024 | WACV | DECDM: Document Enhancement using Cycle-Consistent Diffusion Models. | Jiaxin Zhang, Joy Rimchala, Lalla Mouatadid, Kamalika Das, Kumar Sricharan |
| 2023 | EMNLP | SAC³: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency. | Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Kumar Sricharan |
| 2018 | AAAI | ExprGAN: Facial Expression Editing With Controllable Expression Intensity. | Hui Ding, Kumar Sricharan, Rama Chellappa |
| 2017 | IJCAI | Recognizing Abnormal Heart Sounds Using Deep Learning. | Jonathan Rubin, Rui Abreu, Anurag Ganguli, Saigopal Nelaturi, Ion Matei, Kumar Sricharan |
| 2017 | ISIT | Ensemble estimation of mutual information. | Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III |
| 2016 | ISIT | Improving convergence of divergence functional ensemble estimators. | Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III |
| 2015 | AAAI | Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. | Juan Liu, Eric Bier, Aaron Wilson, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, John Alexis Guerra Gmez, Daniel Davies |
| 2015 | CCS | Detecting Insider Threat from Enterprise Social and Online Activity Data. | Gaurang Gavai, Kumar Sricharan, Dave Gunning, Rob Rolleston, John Hanley, Mudita Singhal |
| 2014 | KDD | Predicting Company Quitting From Online Social Enterprise Activity. | Gaurang Gavai, Kumar Sricharan, Juan Liu, Oliver Brdiczka, John Hanley |
| 2014 | SIGMOD | Localizing anomalous changes in time-evolving graphs. | Kumar Sricharan, Kamalika Das |
| 2011 | FUSION | A local dependence measure and its application to screening for high correlations in large data sets. | Kumar Sricharan, Alfred O. Hero III, Bala Rajaratnam |
| 2011 | ISIT | k-nearest neighbor estimation of entropies with confidence. | Kumar Sricharan, Raviv Raich, Alfred O. Hero III |
| 2010 | ICASSP | Optimized intrinsic dimension estimator using nearest neighbor graphs. | Kumar Sricharan, Raviv Raich, Alfred O. Hero III |