Cun Mu

According to our database, Cun Mu authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LLM360: Towards Fully Transparent Open-Source LLMs.

Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing

CoRR, 2023

2019

An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space.

Cun Mu, Binwei Yang, Zheng Yan

CoRR, 2019

Empowering Elasticsearch with Exact and Fast $r$-Neighbor Search in Hamming Space.

Cun Mu, Jun Zhao, Guang Yang, Binwei Yang, Zheng Yan

CoRR, 2019

Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines.

Cun Matthew Mu, Jun Raymond Zhao, Guang Yang, Binwei Yang, Zheng John Yan

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space.

Cun Mu, Binwei Yang

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

A Machine Learning Approach to Shipping Box Design.

Guang Yang, Cun Matthew Mu

Proceedings of the Intelligent Systems and Applications, 2019

2018

Revisiting Skip-Gram Negative Sampling Model with Regularization.

Cun Mu, Guang Yang, Zheng Yan

CoRR, 2018

Towards Practical Visual Search Engine within Elasticsearch.

Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

2017

Structured Tensor Recovery and Decomposition.

Cun Mu

PhD thesis, 2017

Greedy Approaches to Symmetric Orthogonal Tensor Decomposition.

Cun Mu, Daniel J. Hsu, Donald Goldfarb

SIAM J. Matrix Anal. Appl., 2017

Using negative curvature in solving nonlinear programs.

Donald Goldfarb, Cun Mu, John Wright, Chaoxu Zhou

Comput. Optim. Appl., 2017

2016

Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods.

Cun Mu, Yuqian Zhang, John Wright, Donald Goldfarb

SIAM J. Sci. Comput., 2016

2015

Successive Rank-One Approximations for Nearly Orthogonally Decomposable Symmetric Tensors.

Cun Mu, Daniel J. Hsu, Donald Goldfarb

SIAM J. Matrix Anal. Appl., 2015

Low-Rank Similarity Metric Learning in High Dimensions.

Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Discrete Graph Hashing.

Wei Liu, Cun Mu, Sanjiv Kumar, Shih-Fu Chang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery.

Cun Mu, Bo Huang, John Wright, Donald Goldfarb

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Toward Guaranteed Illumination Models for Non-convex Objects.

Yuqian Zhang, Cun Mu, Han-Wen Kuo, John Wright

Proceedings of the IEEE International Conference on Computer Vision, 2013