Reading_Group

Please also inlcude the conference name!

• 20180308_zhangzhipeng : FlexPS: Flexible Parallelism Control in Parameter Server Architecture. [VLDB2018]
• 20180315_jiangjiawei : Playing Atari with Deep Reinforcement Learning
• 20180319_zhangzhipeng : Learning Memory Access Patterns.
• 20180322_Miao_Xupeng : Accelerating the XGBoost algorithm using GPU computing.
• 20180409_lixupeng : Clustering with Deep Learning: Taxonomy and New Methods.
• 20180416_xiexu : Optimization Methods for Large-Scale Machine Learning.
• 20180418_yangminhyu : Planning chemical syntheses with deep neural networks and symbolic AI.
• 20180423_yulele : Deep Gradient Compression:Reducing the Communication Bandwidth for Distributed Training.
• 20180424_zhangzhipeng : Scalable Linear Algebra on a Relational Database System. [ICDE2017 best paper]
• 20180430_Miao_Xupeng : vDNN Virtualized Deep Neural Networks for Scalable Memory-Efficient Neural Network Design [MICRO 2016]
• 20180507_liyang : Massively Parallel Methods for Deep Reinforcement Learning
• 20180510_lixupeng : Distilling a Neural Network Into a Soft Decision Tree.
• 20180521_xuehuanran : Fast Automated Selection of Learning Algorithm And its Hyperparameters by Reinforcement Learning
• 20180522_miaoxupeng_zhangzhipeng : Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
• 20180522_zhangwentao : COBRA: A combined regression strategy
• 20180528_Fangcheng : Weightless: Lossy weight encoding for deep neural network compression. [ICML 2018]
• 20180604_Miao_Xupeng : Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks [ICML 2018]
• 20180625_xiexu : Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
• 20180628_zhangzhipeng : Communication-efficient machine learning in MapReduce [ICLR16, arxiv15]
• 20180702_xuehuanran : simple and efficient architecture search for CNN [ICLR2018 workshop]
• 20180709_Miao_Xupeng : TVM: An Automated End-to-End Optimizing Compiler for Deep Learning [SYSML 2018]
• 20180716_Fangcheng : Gradient Coding: Avoiding Stragglers in Distributed Learning [ICML 2017]
• 20180726_zhangzhipeng : NoScope: Optimizing Neural Network Queries over Video at Scale [VLDB 2017]
• 20180730_xuehuanran : Parallel Feature Selection inspired by Group Testing [NIPS 2014]
• 20180809 Miao_Xupeng: Highly Scalable Deep Learning Training System with Mixed Precision: Training ImageNet in Four Minutes [arvix18]
• 20180917 Fangcheng: Small Batch or Large Batch? Gaussian Walk with Rebound Can Teach [KDD 2017]
• 20181029 Miao_Xupeng: PRETZEL: Opening the Black Box of ML Prediction Serving Systems [OSDI 18]
• 20181029 Fangcheng: CatBoost: unbiased boosting with categorical features [NIPS 2018]
• 201811118 Zhang_Zhipeng: TUX2: Distributed Graph Computation For Machine Learning [NSDI2017]
• 20181119_xuehuanran: Data Synthesis based on Generative Adversarial Networks [VLDB2018]
• 20181203 Shen_yu: You Only Look Once - Unified, Real-Time Object Detection [CVPR 2016]
• 20181203 Fangcheng: CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics [NSDI 2017]
• 20181210 Zhang Zhipeng: Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling [arxiv 2018]
• 20181210 Xue Huanran: Deep Feature Synthesis: Towards Automating Data Science Endeavors [DSAA 2015]