222 citations · 381 across the 11 of their papers we have counts for
11 papers
SoTaNa: The Open-Source Software Development Assistant
Ensheng Shi, Fengji Zhang, Yanlin Wang +6
Software development plays a crucial role in driving innovation and efficiency across modern societies. To meet the demands of this dynamic field, there is a growing need for an ef…
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
Ensheng Shi, Yanlin Wang, Hongyu Zhang +4
Recently, fine-tuning pre-trained code models such as CodeBERT on downstream tasks has achieved great success in many software testing and analysis tasks. While effective and preva…
CoCoSoDa: Effective Contrastive Learning for Code Search
Ensheng Shi, Yanlin Wang, Wenchao Gu +5
Code search aims to retrieve semantically relevant code snippets for a given natural language query. Recently, many approaches employing contrastive learning have shown promising r…
RACE: Retrieval-Augmented Commit Message Generation
Ensheng Shi, Yanlin Wang, Wei Tao +5
Commit messages are important for software development and maintenance. Many neural network-based approaches have been proposed and shown promising results on automatic commit mess…
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang, Zhiliang Wang, Tao Zhou +6
Host-based threats such as Program Attack, Malware Implantation, and Advanced Persistent Threats (APT), are commonly adopted by modern attackers. Recent studies propose leveraging…
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
Zhanghui Kuang, Hongbin Sun, Zhizhong Li +10
We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recogniti…
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du +4
Code summarization aims to generate concise natural language descriptions of source code, which can help improve program comprehension and maintenance. Recent studies show that syn…
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du +5
Source code summaries are important for program comprehension and maintenance. However, there are plenty of programs with missing, outdated, or mismatched summaries. Recently, deep…
Spatial Dual-Modality Graph Reasoning for Key Information Extraction
Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue +2
Key information extraction from document images is of paramount importance in office automation. Conventional template matching based approaches fail to generalize well to document…
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin +2
The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition q…
Geometry Normalization Networks for Accurate Scene Text Detection
Youjiang Xu, Jiaqi Duan, Zhanghui Kuang +4
Large geometry (e.g., orientation) variances are the key challenges in the scene text detection. In this work, we first conduct experiments to investigate the capacity of networks…