activity
20162025
most citedGeneral audio tagging with ensembling convolutional neural network and statistical features

35 citations · 174 across the 20 of their papers we have counts for

collaborators

20 papers

cs.SE2025

Predicting Abandonment of Open Source Software Projects with An Integrated Feature Framework

Yiming Xu, Runzhi He, Hengzhi Ye +2

Open Source Software (OSS) is a cornerstone of contemporary software development, yet the increasing prevalence of OSS project abandonment threatens global software supply chains.…

cs.SE2022★ 3 cited

The Development and Prospect of Code Clone

Xunhui Zhang, Tao Wang, Yue Yu +3

The application of code clone technology accelerates code search, improves code reuse efficiency, and assists in software quality assessment and code vulnerability detection. Howev…

cs.HC2021

Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism

Xunhui Zhang, Tao Wang, Yue Yu +3

While many forms of financial support are currently available, there are still many complaints about inadequate financing from software maintainers. In May 2019, GitHub, the world'…

cs.SE2021★ 2 cited

Pull Request Latency Explained: An Empirical Overview

Xunhui Zhang, Yue Yu, Tao Wang +2

Pull request latency evaluation is an essential application of effort evaluation in the pull-based development scenario. It can help the reviewers sort the pull request queue, remi…

cs.AI2021★ 1 cited

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning

Zijian Gao, Kele Xu, Bo Ding +3

Recently, deep reinforcement learning (RL) algorithms have made great progress in multi-agent domain. However, due to characteristics of RL, training for complex tasks would be res…

cs.AI2021★ 16 cited

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning

Zijian Gao, Kele Xu, Bo Ding +3

Recently, deep Reinforcement Learning (RL) algorithms have achieved dramatically progress in the multi-agent area. However, training the increasingly complex tasks would be time-co…