activity
20162023
most citedBoosting API Recommendation with Implicit Feedback

44 citations · 186 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.NE2019★ 4 cited

DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage

Yasir Hussain, Zhiqiu Huang, Yu Zhou +1

The source code suggestions provided by current IDEs are mostly dependent on static type learning. These suggestions often end up proposing irrelevant suggestions for a peculiar co…

cs.LG2019★ 19 cited

Deep Transfer Learning for Source Code Modeling

Yasir Hussain, Zhiqiu Huang, Yu Zhou +1

In recent years, deep learning models have shown great potential in source code modeling and analysis. Generally, deep learning-based approaches are problem-specific and data-hungr…

cs.CR2019

Behavior-aware Service Access Control Mechanism using Security Policy Monitoring for SOA Systems

Yunfei Meng, Zhiqiu Huang, Senzhang Wang +3

Service-oriented architecture (SOA) system has been widely utilized at many present business areas. However, SOA system is loosely coupled with multiple services and lacks the rele…

cs.SE2019★ 42 cited

User Review-Based Change File Localization for Mobile Applications

Yu Zhou, Yanqi Su, Taolue Chen +3

In the current mobile app development, novel and emerging DevOps practices (e.g., Continuous Delivery, Integration, and user feedback analysis) and tools are becoming more widespre…

cs.NE2019★ 36 cited

CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

Yasir Hussain, Zhiqiu Huang, Yu Zhou +1

Recently deep learning based Natural Language Processing (NLP) models have shown great potential in the modeling of source code. However, a major limitation of these approaches is…