Kelvin Kai Wing Ng

According to our database, Kelvin Kai Wing Ng authored at least 8 papers between 2017 and 2020.

Collaborative distances:

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

2020

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning.

Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan

CoRR, 2019

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jie Liu, James Cheng

CoRR, 2019

Pyramid: A General Framework for Distributed Similarity Search.

Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng

CoRR, 2019

Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets.

Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A General and Efficient Querying Method for Learning to Hash.

Jinfeng Li, Xiao Yan, Jie Zhang, An Xu, James Cheng, Jie Liu, Kelvin Kai Wing Ng, Ti-Chung Cheng

Proceedings of the 2018 International Conference on Management of Data, 2018

Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization.

Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Variance Reduced Stochastic Gradient Descent with Sufficient Decrease.

Fanhua Shang, Yuanyuan Liu, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida

CoRR, 2017