| 2024 | DEXA | A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. | Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang |
| 2023 | DEXA | Discovering Top-K Partial Periodic Patterns in Big Temporal Databases. | Palla Likhitha, Rage Uday Kiran |
| 2023 | ICDE | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. | Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | ICDE | Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. | Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda |
| 2023 | PAKDD | A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. | Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli |
| 2023 | PAKDD | Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. | Palla Likhitha, Veena Pamalla, Rage Uday Kiran, Koji Zettsu |
| 2023 | SSDBM | Towards Efficient Discovery of Spatially Interesting Patterns in Geo-referenced Sequential Databases. | Shota Suzuki, Rage Uday Kiran |
| 2022 | ACIIDS | Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. | Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda |
| 2022 | DEXA | Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks. | Qiliang Liang, Ji Zhang, Mohamed Jaward Bah, Hongzhou Li, Liang Chang, Rage Uday Kiran |
| 2022 | ICONIP | UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. | Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger |
| 2021 | IJCNN | Fruit classification using deep feature maps in the presence of deceptive similar classes. | Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran |
| 2021 | PAKDD | Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. | Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran |
| 2019 | ICDM | Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. | Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy |
| 2019 | ICDM | Discovering Periodic Patterns in Irregular Time Series. | C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy |
| 2018 | DaWaK | Discovering Periodic Patterns Common to Multiple Sequences. | Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita |
| 2011 | WWW | Coverage patterns for efficient banner advertisement placement. | Bhargav Sripada, Krishna Reddy Polepalli, Rage Uday Kiran |