| 2026 | AAAI | TGCD: A Framework for Generalized Category Discovery in Time-Series Data. | Chandan Gautam, Lew Choon Hean, Ankit Das, Xiaoli Li, Savitha Ramasamy |
| 2025 | MICCAI | MedGCD: Generalized Category Discovery in Medical Imaging. | Ankit Das, Chandan Gautam, Pritee Agrawal, Feng Yang, Yong Liu, Ramasamy Savitha |
| 2025 | WACV | Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. | Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li |
| 2024 | EMNLP | Class Name Guided Out-of-Scope Intent Classification. | Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li |
| 2024 | MICCAI | Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning. | Ankit Das, Chandan Gautam, Hisham Cholakkal, Pritee Agrawal, Feng Yang, Ramasamy Savitha, Yong Liu |
| 2023 | ICASSP | Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. | Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram |
| 2022 | EMNLP | Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. | Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy |
| 2021 | ICASSP | Meta-Cognition-Based Simple And Effective Approach To Object Detection. | Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram |
| 2018 | ICDM | Localized Multiple Kernel Support Vector Data Description. | Chandan Gautam, Aruna Tiwari |
| 2016 | IJCNN | Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. | Chandan Gautam, Aruna Tiwari, Sriram Ravindran |