| Tsmixer: An all-mlp architecture for time series forecasting SA Chen, CL Li, N Yoder, SO Arik, T Pfister Transactions on Machine Learning Research, 2023 | 154 | 2023 |
| libact: Pool-based active learning in python YY Yang, SC Lee, YA Chung, TE Wu, SA Chen, HT Lin arXiv preprint arXiv:1710.00379, 2017 | 64 | 2017 |
| Tool documentation enables zero-shot tool-usage with large language models CY Hsieh, SA Chen, CL Li, Y Fujii, A Ratner, CY Lee, R Krishna, T Pfister arXiv preprint arXiv:2308.00675, 2023 | 51 | 2023 |
| Active deep Q-learning with demonstration SA Chen, V Tangkaratt, HT Lin, M Sugiyama Machine Learning 109 (9), 1699-1725, 2020 | 40 | 2020 |
| Linear classifier: an often-forgotten baseline for text classification YC Lin, SA Chen, JJ Liu, CJ Lin Association for Computational Linguistics 2, 1876–1888, 2023 | 12 | 2023 |
| A Unified View of cGANs with and without Classifiers SA Chen, CL Li, HT Lin Advances in Neural Information Processing Systems, 2021 | 12 | 2021 |
| Parameter Selection: Why We Should Pay More Attention to It JJ Liu, TH Yang, SA Chen, CJ Lin Association for Computational Linguistics 2, 825–830, 2021 | 6 | 2021 |
| Improving conditional score-based generation with calibrated classification and joint training PKM Huang, SA Chen, HT Lin NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 4 | 2022 |
| TableRAG: Million-token table understanding with language models SA Chen, L Miculicich, JM Eisenschlos, Z Wang, Z Wang, Y Chen, Y Fujii, ... arXiv preprint arXiv:2410.04739, 2024 | 2 | 2024 |
| Active Reinforcement Learning from Demonstration in Continuous Action Spaces MH Chen, SA Chen, HT Lin AI and HCI Workshop at the 40th International Conference on Machine Learning …, 2023 | 1 | 2023 |
| Even the simplest baseline needs careful re-investigation: A case study on XML-CNN SA Chen, JJ Liu, TH Yang, HT Lin, CJ Lin Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 1 | 2022 |
| Multi-Layer Perceptron Architecture For Times Series Forecasting SO Arik, SA Chen, NC Yoder, CL Li US Patent App. 18/417,556, 2024 | | 2024 |
| Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance PKM Huang, SA Chen, HT Lin arXiv preprint arXiv:2307.04081, 2023 | | 2023 |
| Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration SA Chen, CL Li, HT Lin arXiv preprint arXiv:2111.02316, 2021 | | 2021 |
Hsuan-Tien LinProfessor of Computer Science and Information Engineering, National Taiwan UniversityEmail verificata su csie.ntu.edu.tw