科研活动

竞赛简介

5G新技术架构的引入和业务场景的多样性给智能化网络运维 (AIOps) 带来了新的挑战。无线网络故障根因定位是网络运维中的一个重要环节，通过快速且准确地判断出网络故障的根因，技术人员可以及时采取措施对网络进行修复。然而，现网经常受困于复杂的无线通信环境和网络部署结构，且存在网络故障样本数少、不同的场景下故障表征差异性大等问题。如何充分利用领域知识和一小部分标定数据，使用统计学习和因果推断技术，快速准确地定位故障的根因，是网络运维面临的巨大挑战。

为了加深学界对此类工业问题的理解，促进学界在此问题上的研究，香港中文大学（深圳）-深圳市大数据研究院-华为未来网络系统优化创新实验室联合在ICASSP 2022旗舰国际会议上组织举办本次竞赛。

本次竞赛使用业务场景数据集，包括领域专家提供的网络故障因果图。数据集中涵盖一系列工业应用实际难题，包括在少标签样本和有数据缺失的情况下进行高效时间序列分析和因果推断等，亟待具有不同专业背景的国内外学者和研究员共同解决！

ICASSP（International Conference on Acoustics, Speech and Signal Processing）是全世界最大的，也是最全面的融合信号处理、统计学习、及无线通信的综合性顶级会议。ICASSP-2022将于5月22日-27日在新加坡举行。

Localizing the root cause of network faults is crucial to network operation and maintenance. Significant operational expenses will be saved if the root cause can be identified agilely and accurately. However, this is challenging for human beings due to the complicated wireless environments and network architectures. Resorting to data analysis and machine learning is promising but remains difficult due to various practical difficulties, such as the lack of well-labeled samples, hybrid fault behaviors, missing data, and so on. The overall target of this competition is to help people better understand the root cause localization problem and open up new paths for the next-generation wireless networks empowered by causal inference techniques.

We provide a novel real-world telecommunication dataset collected from live 5G networks, together with the associated causal graph endorsed by human experts. Various practical problems were born with this dataset due to the underlying system limitations, such as how to efficiently handle the short of well-labeled data, how to handle the missing data issue, how to combine classic time series analysis with new-fashioned learning-based models, how to perform accurate and reliable causal inference, and so on. We hope these interesting problems can arouse the broad attention of scholars as well as practitioners with different backgrounds and inspire new ideas during the competition. Full support on the data and platform will be provided by the organizing team.

主办单位

本活动由香港中文大学（深圳）-深圳市大数据研究院-华为未来网络系统优化创新实验室主办。

This competition is organized and supported by CUHKSZ-SRIBD-HUAWEI Innovation Laboratory for Future Network Systems Optimization.

主要筹备人

罗智泉 院士

史清江 教授

尹峰 教授

权涛 技术专家

缪丹丹 博士

张天健 技术骨干

陈乾 技术骨干

赛事安排

Nov. 25, 2021

比赛开始。（公开赛题及数据，开放注册，公开基线算法）

Official release of the competition problem and the training data. Registration begins. Baseline released. 

Dec. 25, 2021

注册截止，排行榜开启。

Registration ends and leaderboard will be launched.

Jan. 20, 2022

排行榜冻结。

Leaderboard will be frozen.

Jan. 22, 2022

ICASSP-SPGC论文提交截止。

ICASSP-SPGC Paper submission deadline. 

Feb. 10, 2022

ICASSP-SPGC论文接收通知。

ICASSP-SPGC Paper acceptance notification.

Feb. 17, 2022

Camera-ready 论文提交截止。

Camera-ready submission deadline.

Feb. 20, 2022

公布比赛最终排名。

The organizing committee will announce the final rank, considering both the leaderboard and technical contributions.

May. 22-27, 2022

ICASSP 2022大会将邀请获奖团队进行线上或现场技术报告。

Presentations and award ceremony for winning teams.

奖金设置

最终的获奖队伍排名，将由竞赛委员会根据竞赛成绩和解决方案的技术优劣来综合评判。

The top three performing teams will receive award certificates and cash prizes ($8,000 USD in total).

Gold Prize (1 group)： $5,000

Silver Prize (1 group)：$2,000

Bronze Prize (1 group)：$1,000

如欲了解更多信息，请浏览竞赛官网：https://www.aiops.sribd.cn

—— 我们期待您的参与 ——