Kelvin Kai Wing Ng

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 9

Top Topics

Stochastic Gradient Descent

Distortion Measure

Vector Quantization

Similarity Search

Top Venues

Publications

Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. AAAI (2020)
Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. CoRR (2019)
Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng
Pyramid: A General Framework for Distributed Similarity Search. CoRR (2019)
Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng
Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. IEEE BigData (2019)
Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jie Liu, James Cheng
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. CoRR (2019)
Jinfeng Li, Xiao Yan, Jian Zhang, An Xu, James Cheng, Jie Liu, Kelvin Kai Wing Ng, Ti-Chung Cheng
A General and Efficient Querying Method for Learning to Hash. SIGMOD Conference (2018)
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. AISTATS (2018)
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. CoRR (2018)
Fanhua Shang, Yuanyuan Liu, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
Variance Reduced Stochastic Gradient Descent with Sufficient Decrease. CoRR (2017)