Publications
Google Scholar
2024
- Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series AnalysisNeural Information Processing Systems Datasets and Benchmarks Track, 2024
- TSI-Bench: Benchmarking Time Series ImputationarXiv preprint arXiv:2406.12747, 2024
- Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningInternational Conference on Machine Learning, 2024
- Title evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizationsNature communications, 2024
- LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term PromptingFindings of the Association for Computational Linguistics, 2024
- PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural NetworksInternational Conference on Learning Representations, 2024
- A closer look at reinforcement learning-based automatic speech recognitionComputer Speech & Language, 2024
2023
- Performative Time-Series ForecastingarXiv preprint arXiv:2310.06077, 2023
2022
- A dynamic reweighting strategy for fair federated learningIn ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
2021
- Physics Informed Machine Learning with Misspecified Priors: An analysis of Turning Operation in Lathe MachinesIn AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021
2018
- Detecting malicious websites in depth through analyzing topics and web-pagesIn Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, 2018