分布式计算：
谷歌三件套：
《MapReduce: Simplified Data Processing on Large Clusters》
《Bigtable: A Distributed Storage System for Structured Data》
分布式协议Paxos、Raft：
《Time, Clocks, and the Ordering of Events in a Distributed System》
《In Search of an Understandable Consensus Algorithm》
流式计算框架：
《S4: Distributed Stream Computing Platform》
分布式机器学习框架：
《GraphLab: A New Framework for Parallel Machine Learning》
《Scaling Distributed Machine Learning with the Parameter Server》
分布式图计算框架：
《Pregel: a system for large-scale graph processing》
《Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs》
深度学习：
ImageNet、CNN：《Imagenet classification with deep convolutional neural networks》
DNN：《Deep residual learning for image recognition》
RNN：《Generating sequences with recurrent neural networks》
NLP：《Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing》
GAN：《Generative Adversarial Networks》
区块链（不是论文）：
贴个图形学的：
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
http://ieeexplore.ieee.org/abstract/document/6205760/