
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
We develop a novel framework that adds the regularizers of the sparse gr...
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Pathbased Deep Network for Candidate Item Matching in Recommenders
The largescale recommender system mainly consists of two stages: matchi...
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GIPA: General Information Propagation Algorithm for Graph Learning
Graph neural networks (GNNs) have been popularly used in analyzing graph...
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GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Graph neural networks (GNNs) have been demonstrated as a powerful tool f...
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WoodpeckerDL: Accelerating Deep Neural Networks via HardwareAware Multifaceted Optimizations
Accelerating deep model training and inference is crucial in practice. E...
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A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
Gaze estimation for ordinary smart phone, e.g. estimating where the user...
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Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On ManyIntegratedCore Processors
Pairwise association measure is an important operation in data analytics...
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Yongchao Liu
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