| Training and testing low-degree polynomial data mappings via linear SVM. YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin Journal of Machine Learning Research 11 (4), 2010 | 746 | 2010 |
| Feature ranking using linear SVM YW Chang, CJ Lin Causation and prediction challenge, 53-64, 2008 | 386 | 2008 |
| Pre-training tasks for embedding-based large-scale retrieval WC Chang, FX Yu, YW Chang, Y Yang, S Kumar arXiv preprint arXiv:2002.03932, 2020 | 309 | 2020 |
| O (n) connections are expressive enough: Universal approximability of sparse transformers C Yun, YW Chang, S Bhojanapalli, AS Rawat, S Reddi, S Kumar Advances in Neural Information Processing Systems 33, 13783-13794, 2020 | 71 | 2020 |
| A simple and effective positional encoding for transformers PC Chen, H Tsai, S Bhojanapalli, HW Chung, YW Chang, CS Ferng arXiv preprint arXiv:2104.08698, 2021 | 59 | 2021 |
| Exact decoding of phrase-based translation models through lagrangian relaxation YW Chang Massachusetts Institute of Technology, 2012 | 59 | 2012 |
| Optimal beam search for machine translation AM Rush, YW Chang, M Collins Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 37 | 2013 |
| Leveraging redundancy in attention with reuse transformers S Bhojanapalli, A Chakrabarti, A Veit, M Lukasik, H Jain, F Liu, YW Chang, ... arXiv preprint arXiv:2110.06821, 2021 | 20 | 2021 |
| A constrained viterbi relaxation for bidirectional word alignment YW Chang, AM Rush, J DeNero, M Collins Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 14 | 2014 |
| Demystifying the better performance of position encoding variants for transformer PC Chen, H Tsai, S Bhojanapalli, HW Chung, YW Chang, CS Ferng arXiv preprint arXiv:2104.08698 3 (7), 2021 | 7 | 2021 |
| A polynomial-time dynamic programming algorithm for phrase-based decoding with a fixed distortion limit YW Chang, M Collins Transactions of the Association for Computational Linguistics 5, 59-71, 2017 | 5 | 2017 |
| Low-degree polynomial mapping of data for svm Y Chang, C Hsieh, K Chang, M Ringgaard, C Lin Journal of Machine Learning Research 11, 1-21, 2010 | 5 | 2010 |
| BEVOLO, AJ, 176 JC BOIVIN, WE BROWN, C CARCALY, A CHANG, R CHEVREL, ... Journal of Solid State Chemistry 35, 407-408, 1980 | 1 | 1980 |
| Leveraging Redundancy in Attention with Reuse Transformers VS Bhojanapalli, A Veit, A Chakrabarti, F Liu, H Jain, M Lukasik, S Kumar, ... US Patent App. 17/960,380, 2023 | | 2023 |
| Connections are Expressive Enough: Universal Approximability of Sparse Transformers AS Rawat, C Yun, S Kumar, S Reddi, S Bhojanapalli, YW Chang | | 2020 |
| Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms YW Chang, M Collins Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | | 2017 |
| Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation: Supplementary Material YW Chang, M Collins | | |
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIVerified email at csie.ntu.edu.tw
