| Mmd gan: Towards deeper understanding of moment matching network CL Li, WC Chang, Y Cheng, Y Yang, B Póczos arXiv preprint arXiv:1705.08584, 2017 | 354 | 2017 |
| Deep learning for extreme multi-label text classification J Liu, WC Chang, Y Wu, Y Yang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 277 | 2017 |
| Modeling Long-and Short-Term Temporal Patterns with Deep Neural Networks G Lai, WC Chang, Y Yang, H Liu Proceedings of the 41st International ACM SIGIR Conference on Research …, 2018 | 252 | 2018 |
| A revisit to support vector data description WC Chang, CP Lee, CJ Lin Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep, 2013 | 64 | 2013 |
| Pre-training Tasks for Embedding-based Large-scale Retrieval WC Chang, FX Yu, YW Chang, Y Yang, S Kumar International Conference on Learning Representations (ICLR), 2020 | 41 | 2020 |
| Effective string processing and matching for author disambiguation WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013 | 36 | 2013 |
| Taming Pretrained Transformers for eXtreme Multi-label Text Classification WC Chang, HF Yu, K Zhong, Y Yang, I Dhillon Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 35* | 2020 |
| Kernel Change-point Detection with Auxiliary Deep Generative Models WC Chang, CL Li, Y Yang, B Póczos International Conference on Learning Representations (ICLR), 2019 | 21 | 2019 |
| Cross-Domain Kernel Induction for Transfer Learning WC Chang, Y Wu, H Liu, Y Yang Thirty-first AAAI Conference on Artificial Intelligence, 1763-1769, 2017 | 21 | 2017 |
| The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints PW Wang, WC Chang, JZ Kolter arXiv preprint arXiv:1706.00476, 2017 | 20* | 2017 |
| Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ... Proceedings of the 2013 KDD Cup 2013 Workshop, 1-7, 2013 | 20 | 2013 |
| Implicit Kernel Learning CL Li, WC Chang, Y Mroueh, Y Yang, B Póczos The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 16 | 2019 |
| Data-driven random Fourier features using Stein effect WC Chang, CL Li, Y Yang, B Poczos Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 15 | 2017 |
| XL-Editor: Post-editing sentences with xlnet YS Shih, WC Chang, Y Yang arXiv preprint arXiv:1910.10479, 2019 | 5 | 2019 |
| Contextual Encoding for Translation Quality Estimation J Hu, WC Chang, Y Wu, G Neubig Proceedings of the Third Conference on Machine Translation (WMT) 2, 788–793, 2018 | 3 | 2018 |
| Correlation-Aware Change-Point Detection via Graph Neural Networks R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang International Conference on Neural Information Processing, 555-567, 2020 | | 2020 |
| Kernel Stein Generative Modeling WC Chang, CL Li, Y Mroueh, Y Yang arXiv preprint arXiv:2007.03074, 2020 | | 2020 |
| Explainable Unsupervised Change-point Detection via Graph Neural Networks R Zhang, Y Hao, D Yu, WC Chang, G Lai, Y Yang arXiv preprint arXiv:2004.11934, 2020 | | 2020 |
| SeCSeq: Semantic Coding for Sequence-to-Sequence based Extreme Multi-label Classification WC Chang, HF Yu, IS Dhillon, Y Yang Neural Information Processing Systems (NIPS) CDRNN Workshop, 2018 | | 2018 |
| A Distributed Block-coordinate Descent Method for Regularized Loss Minimization WC Chang, C Lee, CJ Lin | | 2015 |
Yiming YangProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
