| Tarnet: Task-aware reconstruction for time-series transformer RR Chowdhury, X Zhang, J Shang, RK Gupta, D Hong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 54 | 2022 |
| Large Language Models for Time Series: A Survey X Zhang, RR Chowdhury, RK Gupta, J Shang arXiv preprint arXiv:2402.01801, 2024 | 23 | 2024 |
| Primenet: Pre-training for irregular multivariate time series RR Chowdhury, J Li, X Zhang, D Hong, RK Gupta, J Shang Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7184-7192, 2023 | 21 | 2023 |
| Units: Short-time fourier inspired neural networks for sensory time series classification S Li, RR Chowdhury, J Shang, RK Gupta, D Hong Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 16 | 2021 |
| Real-time principal component analysis RR Chowdhury, MA Adnan, RK Gupta ACM Transactions on Data Science 1 (2), 1-36, 2020 | 15 | 2020 |
| ESC-GAN: Extending spatial coverage of physical sensors X Zhang, RR Chowdhury, J Shang, R Gupta, D Hong Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 9 | 2022 |
| Towards Diverse and Coherent Augmentation for Time-Series Forecasting X Zhang, RR Chowdhury, J Shang, R Gupta, D Hong ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| Modeling label semantics improves activity recognition X Zhang, RR Chowdhury, D Hong, RK Gupta, J Shang arXiv preprint arXiv:2301.03462, 2023 | 6 | 2023 |
| Physics-Informed Data Denoising for Real-Life Sensing Systems X Zhang, X Fu, D Teng, C Dong, K Vijayakumar, J Zhang, RR Chowdhury, ... Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems …, 2023 | 2 | 2023 |
| Unleashing the Power of Shared Label Structures for Human Activity Recognition X Zhang, RR Chowdhury, J Zhang, D Hong, RK Gupta, J Shang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| UniMTS: Unified Pre-training for Motion Time Series X Zhang, D Teng, RR Chowdhury, S Li, D Hong, RK Gupta, J Shang arXiv preprint arXiv:2410.19818, 2024 | | 2024 |
| Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization H Guo, R Hosseini, R Zhang, SA Somayajula, RR Chowdhury, RK Gupta, ... arXiv preprint arXiv:2402.18128, 2024 | | 2024 |
| Efficient Learning for Sensor Time Series in Label Scarce Applications RR Chowdhury University of California, San Diego, 2024 | | 2024 |
| Real Time Principal Component Analysis RR Chowdhury, MA Adnan, R Gupta 35th IEEE International Conference on Data Engineering (ICDE 2019), 2019 | | 2019 |
Rajesh K. GuptaProfessor of Computer Science and Engineering, Halıcıoğlu Data Science Institute, UC San Diego在 ucsd.edu 的电子邮件经过验证
