120 citations · 240 across the 11 of their papers we have counts for
11 papers
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark
Mingsheng Jiao, Tingrui Yu, Xuan Li +3
In recent years, neural code translation has gained increasing attention. While most of the research focuses on improving model architectures and training processes, we notice that…
InfeRE: Step-by-Step Regex Generation via Chain of Inference
Shuai Zhang, Xiaodong Gu, Yuting Chen +1
Automatically generating regular expressions (abbrev. regexes) from natural language description (NL2RE) has been an emerging research area. Prior studies treat regex as a linear s…
Self-Supervised Query Reformulation for Code Search
Yuetian Mao, Chengcheng Wan, Yuze Jiang +1
Automatic query reformulation is a widely utilized technology for enriching user requirements and enhancing the outcomes of code search. It can be conceptualized as a machine trans…
Influential Recommender System
Haoren Zhu, Hao Ge, Xiaodong Gu +2
Traditional recommender systems are typically passive in that they try to adapt their recommendations to the user's historical interests. However, it is highly desirable for commer…
A Comprehensive Review on Deep Supervision: Theories and Applications
Renjie Li, Xinyi Wang, Guan Huang +7
Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network. This technique has been increasingl…
Diet Code Is Healthy: Simplifying Programs for Pre-trained Models of Code
Zhaowei Zhang, Hongyu Zhang, Beijun Shen +1
Pre-trained code representation models such as CodeBERT have demonstrated superior performance in a variety of software engineering tasks, yet they are often heavy in complexity, q…
Zero-Shot Program Representation Learning
Nan Cui, Yuze Jiang, Xiaodong Gu +1
Learning program representations has been the core prerequisite of code intelligent tasks such as code search and code clone detection. The state-of-the-art pre-trained models such…
Cross-Domain Deep Code Search with Meta Learning
Yitian Chai, Hongyu Zhang, Beijun Shen +1
Recently, pre-trained programming language models such as CodeBERT have demonstrated substantial gains in code search. Despite showing great performance, they rely on the availabil…
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha +1
Variational autoencoders~(VAEs) have shown a promise in data-driven conversation modeling. However, most VAE conversation models match the approximate posterior distribution over t…
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang +1
Computer programs written in one language are often required to be ported to other languages to support multiple devices and environments. When programs use language specific APIs…
Deep API Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang +1
Developers often wonder how to implement a certain functionality (e.g., how to parse XML files) using APIs. Obtaining an API usage sequence based on an API-related natural language…