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Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs


Mar 16, 2020
Han Yang, Xiao Yan, Xinyan Dai, James Cheng

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Edit Distance Embedding using Convolutional Neural Networks


Jan 31, 2020
Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng

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


Nov 25, 2019
Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin K. W. Ng, James Cheng, Yu Fan

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


Nov 20, 2019
Xinyan Dai, Xiao Yan, Kelvin K. W. Ng, Jie Liu, James Cheng

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Understanding and Improving Proximity Graph based Maximum Inner Product Search


Sep 30, 2019
Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang

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* 8 pages, 8 figures 

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Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS)


Nov 05, 2018
Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng

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Norm-Ranging LSH for Maximum Inner Product Search


Oct 22, 2018
Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng

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* NIPS2018 

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