Abstract Knowledge resolution is the task of clustering knowledge mentions, eg, entity and
relation mentions into several disjoint groups with each group representing a unique entity or …

Multi-component based Log-Structured Merge-tree (LSM-tree) has been becoming one of
the mainstream indexes. LSM-tree adopts component-by-component KV item flowing down …

Knowledge graph (KG) entity typing focuses on inferring possible entity type instances,
which is a significant subtask of knowledge graph completion (KGC). Existing entity typing …

Key-value (KV) stores have become a backbone of large-scale applications in today’s data
centers. Write-optimized data structures like the Log-Structured Merge-tree (LSM-tree) and …

Table-to-text generation aims at automatically generating natural text to help people
conveniently obtain salient information in tables. Although neural models for table-to-text have …

Write-optimized data structures like Log-Structured Merge-tree (LSM-tree) and its variants
are widely used in key-value storage systems like Big Table and Cassandra. Due to deferral …

Recommender systems play a significant role in online services and have attracted wide
attention from both academia and industry. In this paper, we focus on an important, practical, …

Kernel learning is a fundamental problem both in recent research and application of kernel
methods. Existing kernel learning methods commonly use some measures of generalization …

NAND Flash memory-based SSDs have been widely used in modern storage systems to
improve the performance and energy consumption. Existing caching management schemes …

Cobalt Strike is the most prevalent attack tool abused by cyber-criminals to achieve command
and control on victim hosts over HTTPS traffics. It appears in many ransomware attacks …