个人信息:Personal Information
副教授
性别:男
毕业院校:复旦大学
学历:博士研究生毕业
学位:工学博士学位
在职信息:在岗
所在单位:计算机科学与技术学院
办公地点:南校区网安大楼A1-526
电子邮箱:
个人简介:Personal Profile
张晨曦,西安电子科技大学计算机科学与技术学院华山菁英副教授,工学博士。2015年6月于华南理工大学获学士学位。2018年6月于西安交通大学获工学硕士学位(导师:任品毅教授)。2024年6月于复旦大学获工学博士学位(导师:彭鑫教授)。2018年至2020年间曾在华为西安研究所从事云计算软件开发工作。目前隶属于李青山教授领导的智能软件工程技术实验室。
主要研究方向包括云原生、微服务、智能化运维、软件测试等。近年来在ICSE、FSE、ASE、ISSRE等软件工程国际旗舰会议发表论文10余篇。担任TOSEM(CCF A类)、EMSE(CCF B类)、JSS(CCF B类)、软件学报(CCF A类)等期刊审稿人,ISSTA(CCF A类)、ISSRE(CCF B类)、ICPE(CCF B类)等国际会议程序委员会委员。主持CCF-绿盟科技鲲鹏基金等项目,参与华为、阿里巴巴、微软亚洲研究院、字节跳动、腾讯等多项企业合作项目,部分成果得到实际应用。
团队常年招收软件工程、电子信息等方向博士生、硕士生,同时欢迎本科生加入实验室参与科研项目及相关竞赛。
代表性论文:
[1] Chenxi Zhang, Zhen Dong, Xin Peng, Bicheng Zhang, and Miao Chen. Trace-based Multi-Dimensional Root Cause Localization of Performance Issues in Microservice Systems. 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), CCF-A类会议, 2024.
[2] Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, and Dongmei Zhang. DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. 44th IEEE/ACM International Conference on Software Engineering (ICSE 2022), CCF-A类会议, 2022.
[3] Chenxi Zhang, Xin Peng, Tong Zhou, Chaofeng Sha, Zhenghui Yan, Yiru Chen, and Hong Yang. TraceCRL: contrastive representation learning for microservice trace analysis. 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), CCF-A类会议, 2022.
[4] Yiru Chen*, Chenxi Zhang*, Zhen Dong, Dingyu Yang, Xin Peng, Jiayu Ou, Hong Yang, Zheshun Wu, Xiaojun Qu, and Wei Li. Dynamic Graph Neural Networks-based Alert Link Prediction for Online Service Systems. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), CCF-A类会议, 共同第一作者, 2023.
[5] Xin Peng, Chenxi Zhang, Zhongyuan Zhao, Akasaka Isami, Xiaofeng Guo, and Yunna Cui. Trace analysis based microservice architecture measurement. 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), CCF-A类会议, 2022.
[6] 王尚, 张晨曦#, 彭鑫. 基于神经网络的分布式追踪数据压缩和查询方法. 软件学报, 2024.
[7] Tong Zhou, Chenxi Zhang, Xin Peng, Zhenghui Yan, Pairui Li, Jianming Liang, Haibing Zheng, Wujie Zheng, and Yuetang Deng. TraceStream: Abnormal Service Localization based on Trace Data Stream Clustering with Online Feedback. 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023), CCF-B类会议, 2023.
[8] Ke Zhang, Chenxi Zhang, Xin Peng, and Chaofeng Sha. PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning. 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022), CCF-B类会议, 2022.
[9] Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, and Zheshun Wu. MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems. 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE (SEIP) 2021), CCF-A类会议, 2021.
谷歌学术:https://scholar.google.com.hk/citations?hl=zh-CN&user=Ds3dvEMAAAAJ