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Runlin Liu

dblp:304/9660 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
0009-0009-0690-1161ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Program synthesis and code generation · 44% Concurrent programming · 44% Software maintenance and evolution · 13%
Artificial intelligence
1 paper
Speech recognition and synthesis · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
speech synthesis		 0.812024
Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation · ACL (1) 2024
Program synthesis and code generation
code translation		 0.812024
LLM-Based Java Concurrent Program to ArkTS Converter · ASE 2024
Concurrent programming
concurrency models		 0.812024
LLM-Based Java Concurrent Program to ArkTS Converter · ASE 2024
Software maintenance and evolution › software reengineering › software modernization › software migration
language migration		 0.212024
LLM-Based Java Concurrent Program to ArkTS Converter · ASE 2024

Methods — techniques the papers use, named apart from their topics

zero-shot synthesis · 1.5visual articulation modeling · 1.5large language model · 0.8
YearPublicationVenuePosition
2024 Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation
abstract
Songju Lei, Xize Cheng, Mengjiao Lyu, Jianqiao Hu, Jintao Tan, Runlin Liu, Lingyu Xiong, Tao Jin, Xiandong Li, Zhou Zhao. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Songju Lei, Xize Cheng, Mengjiao Lyu, Jianqiao Hu, Jintao Tan, Runlin Liu, Lingyu Xiong, Tao Jin 0004, Xiandong Li, Zhou Zhao 0001
 ACL (1)6
2024 LLM-Based Java Concurrent Program to ArkTS Converter
abstract
HarmonyOS NEXT is a distributed operating system developed to support HarmonyOS native apps. To support the new and independent Harmony ecosystem, developers are required to migrate their applications from Android to HarmonyOS. However, HarmonyOS utilizes ArkTS, a superset of TypeScript, as the programming language for application development. Hence, migrating applications to HarmonyOS requires translating programs across different program languages, e.g., Java, which is known to be very challenging, especially for concurrency programs. Java utilizes shared memory to implement concurrency programs, while ArkTS relies on message passing (i.e., Actor model). This paper presents an LLM-based concurrent Java program to ArkTS converter.
Runlin Liu, Yunge Hu, Xiang Gao 0012
 ASE1