About US

       京东科技从2017年开始建设智能运维,基于京东多年一线运维经验,以大数据和人工智能技术为抓手,形成以应用为中心的一体化智能运维解决方案。利用京东内部历年大促场景的数据积累,对算法进行不断的优化训练,在监控、数据库、网络、资源调度等多个纵向场景取得突破,可移植性强,自研通用化智能基线算法学件10+,自研通用化异常检测算法学件10+,场景化异常检测算法方案5+,具备多种自研通用化根因定位算法学件,可以自动触发多维实时根因定位 ,从上万维度属性值中定位到根因维度,自研5种以上增量式学习模板提取与相关分析算法学件,运维知识图谱内涵盖节点30W+,以应用为中心向外延伸出的图谱关系达90W+,赋能根因分析快速精准查询调用。发表IEEE国际会议论文(AIOps方向)6篇,申请40余项智能运维专利。

Team Members

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Xianbo Zhang

Software Architect

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Jing Zhang

Algorithm Engineer

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Qi Zhao

Software Developer Engineer

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Sheng Liu

Software Developer Engineer

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Xingxing Bu

Software Developer Engineer

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Ruize Xia

Software Developer Engineer

Recent Publications

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(2022). PoSBert: Log Classification via Modified Bert Based on Part-of-Speech Weight. PRAI.

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(2022). Natural Language Processing-based Model for Log Anomaly Detection. SEAI.

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(2022). CANet: Convolutional Attention-based Network for Multivariate Time Series Anomaly Detection. ICSP.

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(2022). Multi-Attention Integrated Convolutional Network for Anomaly Detection of Time Series. ICCAE.

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(2022). Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning. ICMLA.

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Awards

Contact

  • zhangjing511@jd.com
  • BeiJing Economic and Technological Development Zone Kechuang 11 Street
  • 6th Floor, A block, Jingdong Building