32 citations · 97 across the 9 of their papers we have counts for
9 papers
Kallima: A Clean-label Framework for Textual Backdoor Attacks
Xiaoyi Chen, Yinpeng Dong, Zeyu Sun +3
Although Deep Neural Network (DNN) has led to unprecedented progress in various natural language processing (NLP) tasks, research shows that deep models are extremely vulnerable to…
Lyra: A Benchmark for Turducken-Style Code Generation
Qingyuan Liang, Zeyu Sun, Qihao Zhu +4
Recently, neural techniques have been used to generate source code automatically. While promising for declarative languages, these approaches achieve much poorer performance on dat…
A Syntax-Guided Edit Decoder for Neural Program Repair
Qihao Zhu, Zeyu Sun, Yuan-an Xiao +4
Automated Program Repair (APR) helps improve the efficiency of software development and maintenance. Recent APR techniques use deep learning, particularly the encoder-decoder archi…
Generalized Equivariance and Preferential Labeling for GNN Node Classification
Zeyu Sun, Wenjie Zhang, Lili Mou +3
Existing graph neural networks (GNNs) largely rely on node embeddings, which represent a node as a vector by its identity, type, or content. However, graphs with unattributed nodes…
OCoR: An Overlapping-Aware Code Retriever
Qihao Zhu, Zeyu Sun, Xiran Liang +2
Code retrieval helps developers reuse the code snippet in the open-source projects. Given a natural language description, code retrieval aims to search for the most relevant code a…
NLocalSAT: Boosting Local Search with Solution Prediction
Wenjie Zhang, Zeyu Sun, Qihao Zhu +4
The Boolean satisfiability problem (SAT) is a famous NP-complete problem in computer science. An effective way for solving a satisfiable SAT problem is the stochastic local search…
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Zeyu Sun, Qihao Zhu, Yingfei Xiong +3
A code generation system generates programming language code based on an input natural language description. State-of-the-art approaches rely on neural networks for code generation…
Automatic Testing and Improvement of Machine Translation
Zeyu Sun, Jie M. Zhang, Mark Harman +2
This paper presents TransRepair, a fully automatic approach for testing and repairing the consistency of machine translation systems. TransRepair combines mutation with metamorphic…
A Grammar-Based Structural CNN Decoder for Code Generation
Zeyu Sun, Qihao Zhu, Lili Mou +3
Code generation maps a program description to executable source code in a programming language. Existing approaches mainly rely on a recurrent neural network (RNN) as the decoder.…