Learning representation for source code is a foundation of many program analysis tasks. In
recent years, neural networks have already shown success in this area, but most existing …

A code completion system suggests future code elements to developers given a partially-complete
code snippet. Code completion is one of the most useful features in Integrated …

Many application domains can benefit from hybrid transaction/analytical processing (HTAP)
by executing queries on real-time datasets produced by concurrent transactions. However, …

Automatic code completion is one of the most useful features provided by advanced IDEs.
Argument recommendation, as a special kind of code completion, is widely used as well. …

Recent in-memory database systems leverage advanced hardware features like RDMA to
provide transaction processing at millions of transactions per second. Distributed transaction …

Code generation aims to generate a code snippet automatically from natural language
descriptions. Generally, the mainstream code generation methods rely on a large amount of …

Deep learning-based methods for detecting surface defects on strip steel have advanced
detection capabilities, but there are still problems of target loss, false alarms, large computation…

Recent in-memory database systems leverage advanced hardware features like RDMA to
provide transactional processing at millions of transactions per second. Distributed transaction …

Recently, many applications have required the ability to perform dynamic graph analytical
processing (GAP) tasks on the datasets generated by relational OLTP in real time. To meet the …

Interactive GPM (iGPM) is becoming increasingly important, where a series of graph pattern
matching (GPM) queries are created and submitted in an interactive manner based on the …