activity
20212026
most citedMAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation

3 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing

Yujia Fan, Sinan Wang, Zebang Fei +3

Multi-agent reinforcement learning (MARL)-based techniques have shown promise for GUI testing. However, as the complexity of modern GUI software increases, existing MARL-based appr…

cs.SE2024★ 1 cited

Leveraging Large Vision Language Model For Better Automatic Web GUI Testing

Siyi Wang, Sinan Wang, Yujia Fan +2

With the rapid development of web technology, more and more software applications have become web-based in the past decades. To ensure software quality and user experience, various…

cs.SE2024★ 2 cited

Multi-agent Assisted Automatic Test Generation for Java JSON Libraries

Sinan Wang, Zhiyuan Zhong, Shaojin Wen +1

JSON is a widely used format for data exchange between applications. In the Java ecosystem, JSON libraries serve as fundamental toolkits for processing JSON data, powering real-wor…

cs.IR2022★ 1 cited

Recommender Transformers with Behavior Pathways

Zhiyu Yao, Xinyang Chen, Sinan Wang +4

Sequential recommendation requires the recommender to capture the evolving behavior characteristics from logged user behavior data for accurate recommendations. However, user behav…

cs.IR2022★ 3 cited

MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation

Linhao Luo, Yumeng Li, Buyu Gao +7

Large-scale e-commercial platforms in the real-world usually contain various recommendation scenarios (domains) to meet demands of diverse customer groups. Multi-Domain Recommendat…

cs.SE2022★ 1 cited

Aper: Evolution-Aware Runtime Permission Misuse Detection for Android Apps

Sinan Wang, Yibo Wang, Xian Zhan +4

The Android platform introduces the runtime permission model in version 6.0. The new model greatly improves data privacy and user experience, but brings new challenges for app deve…

cs.SE2021★ 2 cited

Runtime Permission Issues in Android Apps: Taxonomy, Practices, and Ways Forward

Ying Wang, Yibo Wang, Sinan Wang +5

Android introduces a new permission model that allows apps to request permissions at runtime rather than at the installation time since 6.0 (Marshmallow, API level 23). While this…