Wei-Cheng Chang
Wei-Cheng Chang
Applied Scientist, Amazon
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Kernel Change-point Detection with Auxiliary Deep Generative Models
WC Chang, CL Li, Y Yang, B Póczos
International Conference on Learning Representations (ICLR), 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
A revisit to support vector data description
WC Chang, CP Lee, CJ Lin
Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep, 2013
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
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
Implicit Kernel Learning
CL Li, WC Chang, Y Mroueh, Y Yang, B Póczos
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
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
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
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
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
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
Extreme Zero-Shot Learning for Extreme Text Classification
Y Xiong, WC Chang, CJ Hsieh, HF Yu, I Dhillon
NAACL, 2022
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search
PH Chen, WC Chang, JY Jiang, HF Yu, IS Dhillon, C Hsieh
Proceedings of the ACM on Web Conference 2024, 3225–3235, 2023
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
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