| 2025 | AAAI | Fair Federated Survival Analysis. | Md Mahmudur Rahman, Sanjay Purushotham |
| 2025 | ICCV | CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation. | Masud Ahmed, Zahid Hasan, Syed Arefinul Haque, Abu Zaher Md Faridee, Sanjay Purushotham, Suya You, Nirmalya Roy |
| 2025 | ICDM | Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study. | Alabi Ahmed, Vandana Pursnani Janeja, Sanjay Purushotham |
| 2025 | ICDM | XCheck: A Consistency-Based Validation Framework for Englacial Layers Annotations. | Muhammad Behroze Hassan, Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja |
| 2025 | ICIP | Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models. | Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham |
| 2025 | KDD | The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2025 | SAC | MorphoLayerTrace (MLT): A Modified Automated Radio-Echo Sounding Englacial Layer-tracing Algorithm for Englacial Layer Annotation in Ice Penetrating Radar Data. | Bayu Adhi Tama, Sanjay Purushotham, Vandana P. Janeja |
| 2025 | SDM | Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios. | Zahra Khanjani, Vandana P. Janeja, Christine Mallinson, Sanjay Purushotham |
| 2024 | DCOSS | ARSFineTune: On-the-Fly Tuning of Vision Models for Unmanned Ground Vehicles. | Masud Ahmed, Zahid Hasan, Abu Zaher Md Faridee, Mohammad Saeid Anwar, Kasthuri Jayarajah, Sanjay Purushotham, Suya You, Nirmalya Roy |
| 2024 | ICMLA | SEATTNET: UNET Enhanced with Squeeze-Excited Attention Gates for Ice-Calving Front Segmentation. | Rohan Putatunda, Sanjay Purushotham, Vandana P. Janeja |
| 2024 | ICPR | gWaveNet: Classification of Gravity Waves from Noisy Satellite Data Using Custom Kernel Integrated Deep Learning Method. | Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang |
| 2024 | IGARSS | Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics. | Bayu Adhi Tama, Vandana P. Janeja, Sanjay Purushotham |
| 2024 | IGARSS | CloudUNet: Adapting UNet for Retrieving Cloud Properties. | Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham |
| 2024 | KDD | The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2023 | CIKM | Federated Competing Risk Analysis. | Md Mahmudur Rahman, Sanjay Purushotham |
| 2023 | ICIP | NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. | Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy |
| 2023 | ICIP | When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. | Catherine Ordun, Edward Raff, Sanjay Purushotham |
| 2023 | IGARSS | CNN based Ocean Eddy Detection Using Cloud Services. | Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Sanjay Purushotham, Jianwu Wang |
| 2023 | KDD | The 9th SIGKDD International Workshop on Mining and Learning from Time Series. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka |
| 2023 | KDD | FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis. | Md. Mahmudur Rahman, Sanjay Purushotham |
| 2023 | MICCAI | A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. | Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley |
| 2023 | WWW | International Workshop on Digital Twins for Smart Health. | Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang |
| 2023 | SDM | Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks. | Md Mahmudur Rahman, Sanjay Purushotham |
| 2023 | SmartComp | An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts. | Masud Ahmed, Zahid Hasan, Tim Yingling, Eric O'Leary, Sanjay Purushotham, Suya You, Nirmalya Roy |
| 2022 | DCOSS | GADAN: Generative Adversarial Domain Adaptation Network For Debris Detection Using Drone. | Masud Ahmed, Naima Khan, Pretom Roy Ovi, Nirmalya Roy, Sanjay Purushotham, Aryya Gangopadhyay, Suya You |
| 2022 | KDD | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. | Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |
| 2022 | KDD | Fair and Interpretable Models for Survival Analysis. | Md. Mahmudur Rahman, Sanjay Purushotham |
| 2021 | AAAI | DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. | Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham |
| 2021 | ICIP | Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. | Catherine Ordun, Edward Raff, Sanjay Purushotham |
| 2021 | KDD | MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. | Sanjay Purushotham, Yaguang Li, Zhengping Che |
| 2018 | ICML | Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. | Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu |
| 2017 | ICDM | Mining Human Mobility to Quantify Performance Status. | Minh N. B. Nguyen, Zaki Hasnain, Ming Li, Tanya Dorff, David Quinn, Sanjay Purushotham, Luciano Nocera, Paul K. Newton, Peter Kuhn, Jorge Nieva, Cyrus Shahabi |
| 2017 | ICLR | Variational Recurrent Adversarial Deep Domain Adaptation. | Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu |
| 2016 | AMIA | Interpretable Deep Models for ICU Outcome Prediction. | Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu |
| 2014 | KDD | Factorized sparse learning models with interpretable high order feature interactions. | Sanjay Purushotham, Martin Renqiang Min, C.-C. Jay Kuo, Rachel Ostroff |
| 2012 | ICML | Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. | Sanjay Purushotham, Yan Liu |