Ranak Roy Chowdhury

Real Time Principal Component Analysis

Muhammad Abdullah Adnan, Ranak Roy Chowdhury, Rajesh K. Gupta, 2019, 2019 IEEE 35th International Conference on Data Engineering (ICDE).

UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification

Jingbo Shang, Dezhi Hong, Ranak Roy Chowdhury, 2021, SenSys.

Real-Time Principal Component Analysis

Ranak Roy Chowdhury, Muhammad Abdullah Adnan, Rajesh K. Gupta, 2020, Trans. Data Sci..

Towards Diverse and Coherent Augmentation for Time-Series Forecasting

Ranak Roy Chowdhury, Rajesh K. Gupta, Dezhi Hong, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modeling Label Semantics Improves Activity Recognition

Ranak Roy Chowdhury, Rajesh K. Gupta, Dezhi Hong, 2023, ArXiv.

TARNet: Task-Aware Reconstruction for Time-Series Transformer

Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang, 2022, KDD.

ESC-GAN: Extending Spatial Coverage of Physical Sensors

Ranak Roy Chowdhury, Rajesh K. Gupta, Dezhi Hong, 2022, WSDM.

PrimeNet: Pre-training for Irregular Multivariate Time Series

Ranak Roy Chowdhury, Rajesh K. Gupta, Dezhi Hong, 2023, AAAI.

Unleashing the Power of Shared Label Structures for Human Activity Recognition

Ranak Roy Chowdhury, Rajesh K. Gupta, Dezhi Hong, 2023, CIKM.

Large Language Models for Time Series: A Survey

Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang, 2024, Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence.