| Hyper-sphere quantization: Communication-efficient sgd for federated learning X Dai, X Yan, K Zhou, H Yang, KKW Ng, J Cheng, Y Fan arXiv preprint arXiv:1911.04655, 2019 | 48 | 2019 |
| MimicNet: Fast performance estimates for data center networks with machine learning Q Zhang, KKW Ng, C Kazer, S Yan, J Sedoc, V Liu Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 287-304, 2021 | 35 | 2021 |
| Norm-explicit quantization: Improving vector quantization for maximum inner product search X Dai, X Yan, KKW Ng, J Liu, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 51-58, 2020 | 28 | 2020 |
| Pyramid: A general framework for distributed similarity search on large-scale datasets S Deng, X Yan, KWN Kelvin, C Jiang, J Cheng 2019 IEEE International Conference on Big Data (Big Data), 1066-1071, 2019 | 17* | 2019 |
| A General and Efficient Querying Method for Learning to Hash J Li, X Yan, J Zhang, A Xu, J Cheng, J Liu, KKW Ng, T Cheng Proceedings of the 2018 International Conference on Management of Data, 1333 …, 2018 | 17 | 2018 |
| Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants CW Kazer, J Sedoc, KKW Ng, V Liu, LH Ungar Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 141-147, 2018 | 15 | 2018 |
| Guaranteed sufficient decrease for stochastic variance reduced gradient optimization F Shang, Y Liu, K Zhou, J Cheng, KKW Ng, Y Yoshida International Conference on Artificial Intelligence and Statistics, 1027-1036, 2018 | 12 | 2018 |
| Paella: Low-latency Model Serving with Software-defined GPU Scheduling KKW Ng, HM Demoulin, V Liu Proceedings of the 29th Symposium on Operating Systems Principles, 595-610, 2023 | 4 | 2023 |
| Supplementary Materials for “Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization” F Shang, Y Liu, K Zhou, J Cheng, KKW Ng, Y Yoshida | | |
