| Alternating multi-bit quantization for recurrent neural networks C Xu, J Yao, Z Lin, W Ou, Y Cao, Z Wang, H Zha arXiv preprint arXiv:1802.00150, 2018 | 111 | 2018 |
| A Unified Convex Surrogate for the Schatten-p Norm C Xu, Z Lin, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 52 | 2017 |
| Robust matrix factorization by majorization minimization Z Lin, C Xu, H Zha IEEE transactions on pattern analysis and machine intelligence 40 (1), 208-220, 2017 | 48 | 2017 |
| Privileged features distillation at taobao recommendations C Xu, Q Li, J Ge, J Gao, X Yang, C Pei, F Sun, J Wu, H Sun, W Ou Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 33 | 2020 |
| Relaxed majorization-minimization for non-smooth and non-convex optimization C Xu, Z Lin, Z Zhao, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 10 | 2016 |
| Graph-based regularization on embedding layers for recommendation Y Zhang, F Sun, X Yang, C Xu, W Ou, Y Zhang ACM Transactions on Information Systems (TOIS) 39 (1), 1-27, 2020 | 8 | 2020 |
| L1-norm global geometric consistency for partial-duplicate image retrieval Y Lin, C Xu, L Yang, Z Lin, H Zha 2014 IEEE International Conference on Image Processing (ICIP), 3033-3037, 2014 | 4 | 2014 |
| Learning Representations of Categorical Feature Combinations via Self-Attention C Xu, C Fu, P Jiang, W Ou | 1 | 2018 |
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchVerified email at pku.edu.cn
