15 citations · 50 across the 18 of their papers we have counts for
23 papers
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews
Cuiyun Gao, Yaoxian Li, Shuhan Qi +4
App reviews are crowdsourcing knowledge of user experience with the apps, providing valuable information for app release planning, such as major bugs to fix and important features…
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation
Xinni Zhang, Yankai Chen, Cuiyun Gao +3
Incorporating knowledge graphs (KGs) as side information in recommendation has recently attracted considerable attention. Despite the success in general recommendation scenarios, p…
A Transformer-Based Approach for Improving App Review Response Generation
Weizhe Zhang, Wenchao Gu, Cuiyun Gao +1
Mobile apps are becoming an integral part of people's daily life by providing various functionalities, such as messaging and gaming. App developers try their best to ensure user ex…
Generating Tips from Song Reviews: A New Dataset and Framework
Jingya Zang, Cuiyun Gao, Yupan Chen +3
Reviews of songs play an important role in online music service platforms. Prior research shows that users can make quicker and more informed decisions when presented with meaningf…
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems
Jiezhu Cheng, Cuiyun Gao, Zibin Zheng
Modern software systems are usually highly configurable, providing users with customized functionality through various configuration options. Understanding how system performance v…
Source Code Summarization with Structural Relative Position Guided Transformer
Zi Gong, Cuiyun Gao, Yasheng Wang +3
Source code summarization aims at generating concise and clear natural language descriptions for programming languages. Well-written code summaries are beneficial for programmers t…