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个人信息


姓名:   肖明军   

职称:   教授，博士生导师

联系电话:    138 1488 0328

电子邮件:    xiaomj@ustc.edu.cn


分别于1999年和2004年获得中国科学技术大学计算机科学技术专业本科双学士和博士学位，2004年至2006年为中国科学技术大学信息学院博士后，随后留校任教，2011年至2012年在美国天普大学访问研究，目前为中国科学技术大学计算机科学与技术学院、大数据学院和苏州高等研究院教授。

近年来，主持了国家自然科学基金、省自然科学基金等10个国家和省部级科研项目，同时还参与了国家科技重大专项、重点研发计划、973、863等10余个国家级项目的研究工作。在包括IEEE Trans. on Computers、IEEE Trans. on Mobile Computing、IEEE/ACM Trans. on Networking、IEEE Trans. on Parallel and Distributed Systems、IEEE Trans. on Knowledge and Data Engineering、INFOCOM、ICDE等在内的高水平学术期刊和国际会议上发表论文100多篇，其中CCF A类和中科院Top期刊论文30余篇，谷歌学术引用2600多次，6篇论文引用超过100次，授权专利2项，出版专著1部，荣获安徽省自然科学二等奖（排名第1）、教育部自然科学二等奖、2020年度和2021年度中国科学院优秀导师奖、中国科学技术大学校友基金会青年教师事业奖、ICCCN 2020、CWSN 2012和CWSN2009最佳论文奖等多项奖励，并指导研究生获得中科院优秀博士学位论文和中科院院长特别奖。

多次担任了包括INFOCOM、ICDCS、IJCAI、DASFAA、ICCCN、ICC、WISE等重要国际会议的TPC、Track Co-Chair或Workshop Co-Chair，以及IEEE Trans. on Computers、IEEE Trans. on Parallel and Distributed Systems、IEEE Trans. on Mobile Computing、IEEE/ACM Trans. on Networking、IEEE Trans. on Knowledge and Data Engineering、IEEE Trans. on Service Computing、IEEE Trans. on Vehicle Technology等国际顶级期刊的审稿人。

 

研究方向

移动智能计算、移动大数据、区块链与隐私保护 [实验室主页]

 

所获奖励：

1. 2021年度中国科学院优秀导师奖；

2. 2020-2021年度苏州市自然科学优秀论文二等奖；

3. 2020年度中国科学院优秀导师奖；

4. 2019年度安徽省科学技术奖自然科学二等奖（排名第1）；

5. 2015年度中国科学技术大学校友基金会青年教师事业奖；

6. 2014年度教育部科学技术奖自然科学二等奖。

 

科研项目 【部分】:

◇ 国家自然科学基金面上项目、基于区块链的移动群智计算智慧可信协作机制研究、2022.01-2025.12、主持；

◇ 国家自然科学基金面上项目、安全可信的移动群智感知数据交易系统关键技术研究、2019.01-2022.12、主持；

◇ 江苏省自然科学基金面上项目、基于移动群智感知的数据交易系统关键技术研究、2019.07-2022.06、主持；

◇ 国家自然科学基金面上项目、基于移动社交网络的群智感知关键技术研究、2016.01-2019.12、主持；

◇ 国家自然科学基金面上项目、面向智能交通信息共享的移动社会网络报文传输研究、2014.01-2017.12、主持；

◇ 江苏省自然科学基金面上项目、延迟容忍的车载移动社会网络数据传输机制研究、2013.07-2016.07、主持；

◇ 国家自然科学青年基金项目、多策略的容迟移动网络端到端数据传输控制研究、2009.01-2011.12、主持；

◇ 国家973 计划子课题、无线传感网络应用示范系统-4、 2006.09-2011.08、主持；

◇ 江苏省自然科学基金面上项目、延迟容忍的移动传感网络路由问题研究、2009.07-2011.06、主持；

◇ 教育部高校博士点基金、面向大规模应用的无线传感器网络目标定位与跟踪技术研究、2008.01-2010.12、主持；

◇ 国家自然科学基金重点项目、边缘智能架构中资源优化分配关键技术研究、2020.01-2024.12、参与；

◇ 国家科技部重点研发计划、面向城市感知的群智涌现机理与计算方法、2019.07-2022.06、参与；

 

发表论文 【部分】:

◇ Yin Xu, Mingjun Xiao, Haisheng Tan, An Liu, Guoju Gao, Zhaoyang Yan. Incentive Mechanism for Differentially Private Federated Learning in Industrial IoT. IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3134257, Dec. 13, 2021. (CAS Top Journal，online)

◇ Guoju Gao, Mingjun Xiao, Jie Wu, He Huang, Shengqi Wang, Guoliang Chen. Auction-based VM Allocation for Deadline-Sensitive Tasks in Distributed Edge Cloud. IEEE Transactions on Services Computing (TSC), Nov.-Dec. 1, 2021, 14(6): 1702-1716.(CAS Top Journal)

◇ Zhen Han, Mingjun Xiao, Haisheng Tan, and Guoju Gao. Two-Layer Traffic Signal Optimization: A Edge-assisted Pressure Balance Approach Based on Cooperative Game. Beijing, China, Dec. 13-15, 2021. (CCF C)

◇ Baoyi An, Mingjun Xiao, An Liu, Yun Xu, Xiangliang Zhang, and Qing Li. Secure Crowdsensed Data Trading Based on Blockchain. IEEE Transactions on Mobile Computing, DOI: 10.1109/TMC.2021.3107187, Aug. 24, 2021. (CCF A，online)

◇ Yu Chen, Sheng Zhang, Yibo Jin, Zhuzhong Qian, Mingjun Xiao, Jidong Ge, Sanglu Lu. LOCUS: User-perceived Delay-aware Service Placement and User Allocation in MEC Environment. IEEE Transactions on Parallel and Distributed Systems, July 2022, 33(7): 1581-1592. (CCF A)

◇ Sheng Zhang, Can Wang, Yibo Jin, Jie Wu, Zhuzhong Qian, Mingjun Xiao, Sanglu Lu. Adaptive Configuration Selection and Bandwidth Allocation for Edge-based Video Analytics. IEEE/ACM Transactions on Networking, DOI: 10.1109/TNET.2021.3106937, Aug. 31, 2021. (CCF A，online)

◇ Zhi Ma, Sheng Zhang, Zhiqi Chen, Tao Han, Zhuzhong Qian, Mingjun Xiao, Ning Chen, Jie Wu, and Sanglu Lu. Towards Revenue-driven Multi-User Online Task Offloading in Edge Computing. IEEE Transactions on Parallel and Distributed Systems, DOI: 10.1109/TPDS. 2021.3105325, Aug.18, 2021. (CCF A，online)

◇ Hui Zhao, Mingjun Xiao, Jie Wu, Yun Xu, He Huang, and Sheng Zhang. Differentially Private Unknown Worker Recruitment for Mobile Crowdsensing Using Multi-Armed Bandits. IEEE Transactions on Mobile Computing, Sep. 2020, 20 (9): 2779-2794. (CCF A)

◇ Guoju Gao, He Huang, Mingjun Xiao, Jie Wu, Yu-E Sun, and Yang Du. Budgeted Unknown Worker Recruitment for Heterogeneous Crowdsensing Using CMAB. IEEE Transactions on Mobile Computing, DOI: 10.1109/TMC.2021.3064324, March 08, 2021. (CCF A，online)

◇ Mingjun Xiao, Baoyi An, Jing Wang, Guoju Gao, Sheng Zhang, and Jie Wu. CMAB-Based Reverse Auction for Unknown Worker Recruitment in Mobile Crowdsensing. IEEE Transactions on Mobile Computing, DOI: 10.1109/TMC.2021.3059346, Feb. 15, 2021. (CCF A，online)

◇ Baoyi An, Mingjun Xiao, An Liu, Xike Xie, and Xiaofang Zhou. Crowdsensing Data Trading based on Combinatorial Multi-Armed Bandit and Stackelberg Game. IEEE ICDE, Chania, Crete, Greece, April 19-22, 2021. (CCF A)

◇ Guoju Gao, He Huang, Mingjun Xiao, Jie Wu, Yu-e Sun, Sheng Zhang. Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic Arms. IEEE INFOCOM, Vancouver, Canada, May 10-13, 2021. (CCF A)

◇ Ting Wang, Xike Xie, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao. On Efficient and Scalable Time-continuous Spatial Crowdsourcing. IEEE ICDE, Dallas, Texas, USA, April 19-22, 2021. (CCF A)

◇ Can Wang, Sheng Zhang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Baoliu Ye, Sanglu Lu. Joint Server Assignment and Resource Management for Edge-Based MAR. IEEE/ACM Transactions on Networking (TNET), Oct. 2020, 28(5): 2378-2391. (CCF A)

◇ Guiliang Xiao, Mingjun Xiao, Guoju Gao, Sheng Zhang, Hui Zhao, and Xiang Zou. Incentive Mechanism Design for Federated Learning: A Two-stage Stackelberg Game Approach. IEEE ICPADS, Hong Kong, China, Dec. 2-4, 2020. (CCF C)

◇ Yu Chen, Sheng Zhang, Mingjun Xiao, Zhuzhong Qian, Jie Wu, and Sanglu Lu. Multi-user Edge-assisted Video Analytics Task Offloading Game based on Deep Reinforcement Learning. IEEE ICPADS, Hong Kong, China, Dec. 2-4, 2020. (CCF C)

◇ Dingjie Sheng, Mingjun Xiao, An Liu, Xiang Zou, Baoyi An, and Sheng Zhang. CPchain: A Copyright-Preserving Crowdsourcing Data Trading Framework Based on Blockchain. ICCCN, Honolulu, Hawaii, USA, August 3-6, 2020. (CCF C, Best Paper Award)

◇ Yubin Duan, Guo-Ju Gao, Ming-Jun Xiao, Jie Wu. Cloaking Region Based Passenger Privacy Protection in Ride-Hailing Systems. Journal of Computer Science and Technology (JCST), May 2020, 35(3): 629–646. (CCF B)

◇ Sheng Zhang, Yu Liang, Jidong Ge, Mingjun Xiao, and Jie Wu. Provably Efficient Resource Allocation for Edge Service Entities Using Hermes. IEEE/ACM Transactions on Networking (TNET), Aug. 2020, 28(4): 1684-1697. (CCF A)

◇ Mingjun Xiao, Jing Wang, Hui Zhao, and Guoju Gao. Unknown Worker Recruitment in Mobile Crowdsensing Using CMAB and Auction. IEEE ICDCS, Singapore, December 2 - 4, 2020. (CCF B)

◇ Mingjun Xiao, Guoju Gao, Jie Wu, Sheng Zhang, Liusheng Huang. Privacy-Preserving User Recruitment Protocol for Mobile Crowdsensing. IEEE/ACM Transactions on Networking (TNET), 2020, 28(2): 519-532. (CCF A)

◇ Guoju Gao, Jie Wu, Mingjun Xiao, Guoliang Chen. Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing, IEEE INFOCOM, Toronto, Canada, July 6-9, 2020. (CCF A)

◇ Can Wang, Sheng Zhang, Yu Chen, Zhuzhong Qian, Jie Wu, Mingjun Xiao. Joint Configuration Adaptation and Bandwidth Allocation for Edge-based Real-time Video Analytics, IEEE INFOCOM, Toronto, Canada, July 6-9, 2020. (CCF A)

◇ Guoju Gao, Mingjun Xiao, Jie Wu, Sheng Zhang, Liusheng Huang, Guiliang Xiao. DPDT: A Differentially Private Crowd-Sensed Data Trading Mechanism. IEEE Internet of Things Journal (IOTJ), 2020, 7(1): 751-762. (CAS Top Journal)

◇ Yin Xu, Mingjun Xiao, Xiang Zou, and An Liu. Differentially Private Resource Auction in Distributed Spatial Crowdsourcing, DASFAA, Jeju, South Korea, May 21-24, 2020. (CCF B)

◇ Mingjun Xiao, Kai Ma, An Liu, Hui Zhao, Zhixu Li, Kai Zheng, and Xiaofang Zhou. SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering, 2020, 32(4): 782-796. (CCF A)

◇ Hai Tang, Mingjun Xiao, Guoju Gao, Hui Zhao. Reverse-Auction-Based Crowdsourced Labeling for Active Learning. World Wide Web – Internet and Web Information System (WWWJ), 2020, 23(1): 671-689. (CCF B)

◇ Guoju Gao, Jie Wu, Zhaoyang Yan, Mingjun Xiao, Guoliang Chen. Unknown Worker Recruitment with Budget and Covering Constraints for Mobile Crowdsensing. IEEE ICPADS, Tianjin, China, December 4-6, 2019. (CCF C)

◇ Yubin Duan, Guoju Gao, Mingjun Xiao, and Jie Wu. A Privacy-Preserving Order Dispatch Scheme for Ride-Hailing Services. IEEE MASS, Monterey, CA, USA, November 4-7, 2019. (CCF C)

◇ Nanhuan Mi, Xiaoxue Zhang, Xin He, Jie Xiong, Mingjun Xiao, Xiang-Yang Li, and Panlong Yang. CBMA: Coded-Backscatter Multiple Access. IEEE ICDCS, Dallas, Texas, USA, July 7-9, 2019, pp. 799-809. (CCF B)

◇ Hui Zhao, Mingjun Xiao, Jie Wu, An Liu, and Baoyi An. Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems. DASFAA, Chiang Mai, Thailand, April 22-25, 2019, LNCS 11447, pp. 660-677. (CCF B)

◇ Baoyi An, Mingjun Xiao, An Liu, Guoju Gao, and Hui Zhao. Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain. DASFAA, Chiang Mai, Thailand, April 22-25, 2019, LNCS 11446, pp. 292-309. (CCF B)

◇ Kai Han, Huan Liu, Shaojie Tang, Mingjun Xiao, Jun Luo. Differentially Private Mechanisms for Budget Limited Mobile Crowdsourcing. IEEE Transactions on Mobile Computing, 2019, 18(4): 934-946. (CCF A)

◇ Guoju Gao, Mingjun Xiao, Jie Wu, Liusheng Huang, Chang Hu. Truthful Incentive Mechanism for Nondeterministic Crowdsensing with Vehicles. IEEE Transactions on Mobile Computing, 2018, 17(12): 2982-2997. (CCF A)

◇ Shuai Zhang, Sheng Zhang, Xiaoda Zhang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Jidong Ge, and Xiaoliang Wang. Far-sighted Multi-stage Aware Coflow Scheduling. IEEE GLOBECOM, 2018, Dec. 9-13, Abu Dhabi, UAE, pp. 1-7. (CCF C)

◇ Zhiqi Chen, Sheng Zhang, Can Wang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, and Imad Jawhar. A Novel Algorithm for NFV Chain Placement in Edge Computing Environments. IEEE GLOBECOM, 2018, Dec. 9-13, Abu Dhabi, UAE, pp. 1-6. (CCF C)

◇ Guoju Gao, Mingjun Xiao, Jie Wu, He Huang, and Guoliang Chen. Minimum Cost Seed Selection for Multiple Influences Diffusion in Communities. IEEE MASS, 2018, Oct. 9-12, Chengdu, China, pp. 263-271. (CCF C)

◇ Cong Liu, Mingjun Xiao, and Yaxiong Zhao. Scalable and Privacy Preserving Routing in Mobile Social Networks. IEEE MASS, 2018, Oct. 9-12, Chengdu, China, pp. 559-564. (CCF C)

◇ Rui Zhang, Sheng Zhang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Jidong Ge, Sanglu Lu. Collaborative Interactive Wireless Charging in a Cyclic Mobispace. IEEE/ACM IWQoS, 2018, June 4-6, Banff, Alberta, Canada, pp. 1-10. (CCF B)

◇ Guoju Gao, Mingjun Xiao, Jie Wu, Kai Han, Liusheng Huang, and Zhenhua Zhao. Opportunistic Mobile Data Offloading with Deadline Constraints. IEEE Transactions on Parallel and Distributed Systems, 2017, 28(12): 3584-3599. (CCF A)

◇ Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Fanyu Kong, Sanglu Lu. Modeling and Deploying Networklet. IEEE GLOBECOM, 2017, Dec. 4-8, Singapore, pp. 1-6. (CCF C)

◇ Jianfeng Yu, and Mingjun Xiao. Combining Frequency and Spatial Diversities to Calibrate Ranging over WLAN. International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous), 2017, Nov. 7-10, Melbourne, Australia, pp. 1-8. (CCF C)

◇ Tingting Hu, Mingjun Xiao, Chang Hu, Guoju Gao, and Baowei Wang. A QoS-sensitive Task Assignment Algorithm for Mobile Crowdsensing. Pervasive and Mobile Computing, 2017, 41: 333-342. (CCF C)

◇ Mingjun Xiao, Jie Wu, Liusheng Huang, Ruhong Cheng, and Yunsheng Wang. Online Task Assignment for Crowdsensing in Predictable Mobile Social Networks. IEEE Transactions on Mobile Computing, Aug., 2017, 16(8): 2306-2320. (CCF A)

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学术服务

2022年TPC：INFOCOM、IJCAI

2021年TPC：INFOCOM、IJCAI、MASS (Workshop Cochair)、ICPADS、ICBCTIS (Workshop Chair)

2020年TPC：INFOCOM、DASFAA、ICCCN (Track Cochair)、ICDSC、ICPADS (Workshop Cochair)、WISE

2019年TPC：INFOCOM、ICDCS、DASFAA、WISE

2018年TPC：INFOCOM、BigTrust (Workshop Cochair)、ICC、ICCCN、WISE

2017年TPC：ICCCN、WISE

2015年TPC：MobiSPC、ICDCS

2014年TPC：Mobihoc、MobiSPC