Search Results for author: Jiyang Zhang

Found 7 papers, 2 papers with code

Multilingual Code Co-Evolution Using Large Language Models

no code implementations27 Jul 2023 Jiyang Zhang, Pengyu Nie, Junyi Jessy Li, Milos Gligoric

In this paper, we target a novel task: translating code changes from one programming language to another using large language models (LLMs).

CoditT5: Pretraining for Source Code and Natural Language Editing

1 code implementation10 Aug 2022 Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, Milos Gligoric

Pretrained language models have been shown to be effective in many software-related generation tasks; however, they are not well-suited for editing tasks as they are not designed to reason about edits.

Language Modelling Large Language Model

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft

no code implementations4 Feb 2022 Jiyang Zhang, Chandra Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen

Code review is an integral part of any mature software development process, and identifying the best reviewer for a code change is a well-accepted problem within the software engineering community.

Graph Representation Learning Management +1

Deep Metric Learning Model for Imbalanced Fault Diagnosis

no code implementations8 Jul 2021 Xingtai Gui, Jiyang Zhang

The reasonable combination of quadruplet loss and softmax loss function can reduce the impact of imbalance.

imbalanced classification Metric Learning +2

Leveraging Class Hierarchy for Code Comprehension

no code implementations NeurIPS Workshop CAP 2020 Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Li, Ray Mooney, Milos Gligoric

Object-oriented programming languages enable a hierarchical class structure, which provides rich contextual information to guide code comprehension and synthesis.

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