1. 实验室活动
2025年9月，实验室组队参加 “松山湖杯” 第二届中国研究生操作系统开源创新大赛，获得全国一等奖。
2024年9月，实验室组队参加 “松山湖杯” 第一届中国研究生操作系统开源创新大赛，获得全国二等奖。
2024年10月，澳大利亚，博士生魏昱恒赴澳大利亚墨尔本参加ACM普适与泛在计算国际联合会议UbiComp 2024 （CCF A）。UbiComp(The ACM international joint conference on Pervasive and Ubiquitous Computing)是普适计算与人机交互领域的国际顶级会议，也是CCF A类推荐会议。魏昱恒在参会期间就被录用论文《AdaStreamLite:Environment-adaptive Streaming Speech Recognition on Mobile Devices》进行口头报告，与领域知名专家学者进行了深入交流。
2024年9月，太原，研一硕士研究生生相辉赴太原参加第十八届中国物联网学术会议(CWSN 2024)并做论文报告《Dynamic task scheduling strategy for cloud-edge collaborative environment》，论文荣获“第十八届中国物联网学术会议优秀论文奖”（大会共评选出6篇论文）。
2024年8月，天津，硕士研究生董锡耀参加第二十届智能计算国际会议 ICIC 2024（International Conference on Intelligent Computing 2024）（CCF C），宣讲在线时间序列异常检测论文《Online Multivariate Time Series Anomaly Detection Method Based on Contrastive Learning》。
2024年8月，日本，博士生刘巧巧赴日本岐阜参加第29届数据库系统高级应用国际会议DASFAA 2024 （CCF B）（The 29th International Conference on Database Systems for Advanced Applications）。刘巧巧在参会期间就被录用的论文《TDMixer: Lightweight Long-Term Series Forecasting using Time-Continuous Embedding》进行了大会报告，并与参会的学者进行了深入的交流和讨论。
2024年8月，瑞典，博士生李华东在瑞典参加ICPP 2024国际并行处理会议学术会议并做论文宣讲 （CCF B）。ICPP(International Conference on Parallel Processing)是计算机学科历史最悠久的国际学术会议之一，今年是该会议的第53届，在8月12日 – 8月15日于瑞典哥特兰岛举办。ACM ICPP是计算机体系结构、并行与分布计算、存储系统领域的顶级会议之一。ACM ICPP收录论文均经过严格的同行双盲评审，近五年平均接收率为27.9%。李博士大会宣讲了两篇论文《RIA: Return on Investment Auto-scaler for Serverless Edge Functions》，《Thawbringer: An Orchestrator to Mitigate Cascading Cold Starts of Serverless Function Chains》进行了大会报告，反响热烈。
2018年6月，德国，博士生刘思聪赴德国慕尼黑参加第16届移动系统、应用和服务国际会议 Mobisys （CCF B ）（The 16th Annual International Conference on Mobile Systems, Applications, and Services,简称Mobisys），MobiSys偏系统和应用(特别是手机等移动计算系统)，也是CCF B类推荐会议。刘思聪在参会期间就被录用的论文《On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework》进行了大会报告，并与参会的学者进行了深入的交流和讨论。
2017年9月，美国，博士生刘思聪赴美国夏威夷参加ACM普适与泛在计算国际联合会议UbiComp 2017 （CCF A）。UbiComp(The ACM international joint conference on Pervasive and Ubiquitous Computing)是普适计算与人机交互领域的国际顶级会议，也是CCF A类推荐会议。刘思聪在参会期间就被录用的论文《UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones》进行了大会报告，并与参会的学者进行了深入的交流和讨论。成果获得CCF A类会议 ACM UbiComp “Distinguished Paper Award”。
2016年6月，新加坡，博士生刘思聪赴新加坡参加第14届移动系统、应用和服务国际会议（The 16th Annual International Conference on Mobile Systems, Applications, and Services,简称Mobisys）（CCF B），MobiSys偏系统和应用(特别是手机等移动计算系统)，也是CCF B类推荐会议。刘思聪在参会期间就被录用的论文《Mobiear: Building an Environment-independent Acoustic Sensing Platform for the Deaf using Deep Learning》进行了大会报告，并与参会的学者进行了深入的交流和讨论。
2017年09月-2018年09月，博士生刘思聪在老师推荐下，受国家留学基金委资助，赴美国Rice University留学联合培养一年。
2. 学术论文（部分）
[1] Task Scheduling With UAV-Assisted Dispersed Computing for Disaster Scenario, IEEE Systems Journal, 2022 (2区)
[2] Question and answer robot's technology for air traffic control[J]. Command Information System and Technology,2021
[3] A Performance Evaluation Method of Load Balancing Capability in SaaS Layer of Cloud Platform , Journal of Physics Conference Series，2021
[4] Kuberntes集群中多节点合作博弈负载均衡策略 西安电子科技大学学报，Vol.48 page 16-22 and 122,No.6,Dec. 2021
[5] AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles, "IEEE Transactions on Mobile Computing,Vol.20,Issue 12, page 3282-3297, DECEMBER 2021 (1区)
[6] SmartMeeting: An Novel Mobile Voice Meeting Minutes Generation and Analysis System, Mobile Networks & Applications,vol.25,no.2,pp.521-536,APR 2020
[7] Privacy Adversarial Network: Representation Learning for Mobile Data Privacy Proceedings of the ACM Interact Mobile Wearable Ubiquitous Technol, Vol.3,No.4, December 2019 (UbiComp 2019 CCF A类会议)
[8] Deep Model Compression for Mobile Platforms: A Survey, TSINGHUA SCIENCE AND TECHNOLOGY, 2019
[9] On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Seletion Framework, proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2018 移动计算旗舰会议)
[10] Understanding Sensor Data using Deep Learning Methods on Resource-Constrained edge devices,""" WIRELESS SENSOR NETWORKS (CWSN 2017),vol.812,pp.139-152,2018 [11th China Wireless Sensor Network Conference (CWSN2017)
[11] ProMETheus: An Intelligent Mobile Voice Meeting Minutes System, Proceedings of the 15th EAI international conference on mobile and ubiquitous systems: computing, networking and services (MobiQuitous 2018),pp.392-401,Nov 2018,New York City, United States.
[12] UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones "Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies archive， 2017
[13] Energy-efficient Algorithm to Construct the Information Potential Field in WSNs,""" IEEE sensor journal, 2017
[14] Poster: MobiEar-building an environment-independent acoustic sensing platform for the deaf using deep learning MobiSys 2016 Companion - Companion Publication of the 14th Annual International Conference on Mobile Systems, Applications, and Services，p 50, June 25, 2016 - June 30, 2016，Singapore
[15] CrowdBlueNet: Maximizing Crowd Data Collection Using Bluetooth Ad Hoc Networks WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS,vol.9798,pp.356-366, WASA 2016.[Proceedings of the 11th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2016,AUG 2016, Bozeman, MT, United states
[16] Air Pollution Source Estimation Profiling via Mobile Sensor Networks "Proceedings of the 2016 International Conference on Computer, Information, and Telecommunication Systems, IEEE CITS 2016,July 2016,KunMing,China
[17] PiPDR:A Placement-Independent Pedestrian Dead Reckoning System in Mobile Phone,""" Ad Hoc & Sensor Wireless Networks,vol.26,no.1-4,pp.73-96,2015
[18] SmartCare: Energy-efficient Long-Term Physical Activity Tracking using Smartphones TSINGHUA Science and Technology, Volume 20,Number 4, pp348-363, August 2015.