Bin Gao

Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph

2015 · arXiv (Cornell University)

Word embedding, which refers to low-dimensional dense vector representations of natural words, has demonstrated its power in many natural language processing tasks. However, it may suffer from the inaccurate and incomplete information contained in the …

OS-level Implications of Using DRAM Caches in Memory Disaggregation

2022

Memory disaggregation has attracted great attention recently due to its benefits in resource utilization efficiency, isolation of failures, and easier reconfiguration of memory hardware. However, applications running on a system with disaggregated memory are expected …