| Discrete Graph Hashing W Liu, C Mu, S Kumar, SF Chang Advances in Neural Information Processing Systems (NeurIPS), 3419-3427, 2014 | 616 | 2014 |
| Square deal: Lower bounds and improved relaxations for tensor recovery C Mu, B Huang, J Wright, D Goldfarb The International Conference on Machine Learning (ICML), 73-81, 2014 | 354 | 2014 |
| Provable models for robust low-rank tensor completion B Huang, C Mu, D Goldfarb, J Wright Pacific Journal of Optimization 11 (2), 339-364, 2015 | 190* | 2015 |
| Scalable robust matrix recovery: Frank-Wolfe meets proximal methods C Mu, Y Zhang, J Wright, D Goldfarb SIAM J. Sci. Comput. 38 (5), 3291–3317, 2016 | 81 | 2016 |
| Low-Rank Similarity Metric Learning in High Dimensions W Liu, C Mu, R Ji, S Ma, JR Smith, SF Chang The AAAI Conference on Artificial Intelligence (AAAI), 2792-2799, 2015 | 57 | 2015 |
| Successive Rank-One Approximations of Nearly Orthogonally Decomposable Symmetric Tensors C Mu, D Hsu, D Goldfarb SIAM Journal on Matrix Analysis and Applications 36 (4), 1638-1659, 2015 | 32 | 2015 |
| Towards Practical Visual Search Engine within Elasticsearch C Mu, J Zhao, G Yang, J Zhang, Y Zheng SIGIR eCom'18, 2018 | 19 | 2018 |
| Using Negative Curvature in Solving Nonlinear Programs D Goldfarb, C Mu, J Wright, C Zhou Computational Optimization and Applications 68 (3), 479–502, 2017 | 19 | 2017 |
| Revisiting Skip-Gram Negative Sampling Model with Rectification C Mu, G Yang, Z Yan Intelligent Computing-Proceedings of the Computing Conference, 485-497, 2019 | 17 | 2019 |
| Toward Guaranteed Illumination Models for Non-Convex Objects Y Zhang, C Mu, HW Kuo, J Wright The International Conference on Computer Vision (ICCV), 937-944, 2013 | 15 | 2013 |
| Greedy Approaches to Symmetric Orthogonal Tensor Decomposition C Mu, D Hsu, D Goldfarb SIAM Journal on Matrix Analysis and Applications 38 (4), 1210-1226, 2017 | 12 | 2017 |
| An empirical comparison of FAISS and FENSHSES for nearest neighbor search in hamming space C Mu, B Yang, Z Yan SIGIR eCom'19, 2019 | 6 | 2019 |
| Systems and methods for identifying non-compliant images using neural network architectures T Stanley, B Yang, C Mu US Patent 11,758,069, 2023 | 3 | 2023 |
| Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines C Mu, J Zhao, G Yang, B Yang, Z Yan International Conference on Similarity Search and Applications, 49-56, 2019 | 3* | 2019 |
| A Machine Learning Approach to Shipping Box Design G Yang, C Mu INFORMS Workshop on Data Mining and Decision Analytics, 2018 | 3 | 2018 |
| Random walk distributed dual averaging method for decentralized consensus optimization C Mu, A Kadav, E Kruus, D Goldfarb, MR Min Proceedings of the NeurIPS Optimization Workshop, 2015 | 2 | 2015 |
| Machine learning based methods and apparatus for automatically generating item rankings RMTR Eletreby, C Mu, Z Wang, R Mukherjee US Patent App. 17/246,179, 2022 | 1 | 2022 |
| Systems and methods for facilitating online search based on offline transactions Y Wang, D Zhu, AP Ruchandani, C Mu, YM Sun, S Agarwal US Patent 11,928,723, 2024 | | 2024 |
| Image searching using a full-text search engine B Yang, O Ovenc, B Ahmadi, C Mu, Z Yan, G Yang, J Zhao US Patent 11,625,429, 2023 | | 2023 |
| Systems and methods for improving ecommerce search ranking via query-price affinity values X Liu, V Joshi, J Han, C Mu, R Mukherjee US Patent App. 17/308,477, 2022 | | 2022 |
Donald GoldfarbColumbia UniversityVerified email at columbia.edu
