| 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 | 1378 | 2018 |
| MMD GAN: Towards deeper understanding of moment matching network CL Li, WC Chang, Y Cheng, Y Yang, B Póczos Advances in Neural Information Processing Systems, 2203-2213, 2017 | 753 | 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 | 688 | 2017 |
| 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 | 277* | 2020 |
| 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 | 259 | 2020 |
| A revisit to support vector data description WC Chang, CP Lee, CJ Lin Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep, 2013 | 82 | 2013 |
| Kernel Change-point Detection with Auxiliary Deep Generative Models WC Chang, CL Li, Y Yang, B Póczos International Conference on Learning Representations (ICLR), 2019 | 73 | 2019 |
| Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification J Zhang, WC Chang, HF Yu, IS Dhillon Advances in Neural Information Processing Systems, 2021 | 60 | 2021 |
| PECOS: Prediction for enormous and correlated output spaces HF Yu, K Zhong, J Zhang, WC Chang, IS Dhillon Journal of Machine Learning Research 23, 1-32, 2022 | 57 | 2022 |
| Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction E Chien, WC Chang, CJ Hsieh, HF Yu, J Zhang, O Milenkovic, IS Dhillon International Conference on Learning Representations (ICLR), 2022 | 50 | 2022 |
| Implicit Kernel Learning CL Li, WC Chang, Y Mroueh, Y Yang, B Póczos The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 45 | 2019 |
| Extreme multi-label learning for semantic matching in product search WC Chang, D Jiang, HF Yu, CH Teo, J Zhang, K Zhong, K Kolluri, Q Hu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 43 | 2021 |
| 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 | 42 | 2013 |
| 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 | 36 | 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 | 33* | 2013 |
| 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 | 31 | 2017 |
| 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 | 29 | 2017 |
| Extreme Zero-Shot Learning for Extreme Text Classification Y Xiong, WC Chang, CJ Hsieh, HF Yu, I Dhillon NAACL, 2022 | 15 | 2022 |
| Xl-editor: Post-editing sentences with xlnet YS Shih, WC Chang, Y Yang arXiv preprint arXiv:1910.10479, 2019 | 12 | 2019 |
| Label Disentanglement in Partition-based Extreme Multilabel Classification X Liu, WC Chang, HF Yu, CJ Hsieh, IS Dhillon Advances in Neural Information Processing Systems, 2021 | 11 | 2021 |
Yiming YangProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
