| A dynamic reweighting strategy for fair federated learning Z Zhao, G Joshi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 40 | 2022 |
| Pinnsformer: A transformer-based framework for physics-informed neural networks Z Zhao, X Ding, BA Prakash International Conference on Learning Representations (ICLR), 2024 | 30 | 2024 |
| Lstprompt: Large language models as zero-shot time series forecasters by long-short-term prompting H Liu, Z Zhao, J Wang, H Kamarthi, BA Prakash Findings of the Association for Computational Linguistics: ACL 2024, 2024 | 17 | 2024 |
| Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, TM León, EL Murray, M Sun, LA White, LC Brooks, ... Nature communications 15 (1), 6289, 2024 | 15 | 2024 |
| Detecting malicious websites in depth through analyzing topics and web-pages S Wen, Z Zhao, H Yan Proceedings of the 2nd International Conference on Cryptography, Security …, 2018 | 12 | 2018 |
| Tsi-bench: Benchmarking time series imputation W Du, J Wang, L Qian, Y Yang, Z Ibrahim, F Liu, Z Wang, H Liu, Z Zhao, ... arXiv preprint arXiv:2406.12747, 2024 | 11 | 2024 |
| Performative time-series forecasting Z Zhao, A Rodriguez, BA Prakash arXiv preprint arXiv:2310.06077, 2023 | 5 | 2023 |
| A closer look at reinforcement learning-based automatic speech recognition F Yang, M Yang, X Li, Y Wu, Z Zhao, B Raj, R Singh Computer Speech & Language 87, 101641, 2024 | 4 | 2024 |
| Physics informed machine learning with misspecified priors:\\an analysis of turning operation in lathe machines Z Zhao, X Ding, G Atulya, A Davis, A Singh AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2022 | 3 | 2022 |
| Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis H Liu, S Xu, Z Zhao, L Kong, H Kamarthi, AB Sasanur, M Sharma, J Cui, ... The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 2* | 2024 |
| Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning H Liu, H Kamarthi, L Kong, Z Zhao, C Zhang, BA Prakash International Conference on Machine Learning (ICML), 2024 | 2 | 2024 |
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
