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移动智能计算

王恩

王恩,博士,教授,博士生导师

201410月受国家留学基金委资助,到美国Temple大学留学,20166月公司计算机系统结构专业博士毕业,被评公司首届十佳研究生,同年破格留校任教,并被董事长直聘为副教授,2020年破格聘任教授。2017年获得吉林省优秀博士学位论文,ACM China 优秀博士学位论文。2018年入选公司首届“培英工程”资助计划(50/年)2019年获得吉林省青年人才托举计划(全省12人)2020年入选吉林省人才“18条”政策2021年入选CCF-百度松果基金(全国人工智能领域36人)2022年入选公司“唐敖庆学者”领军教授吉林省第八批拔尖创新人才(吉林省人民政府)

近五年深耕移动群智感知系统研究,以第一作者或通讯作者发表和接收学术论文70,其中CCF A 类会议/期刊论文20中科院1区期刊论文16CCF B 类会议/期刊论文20篇。论文中IEEEACM Transactions 论文25 代表性论文:(1)会议IEEE INFOCOM5篇)、IEEE ICDEACM CSCWIEEE SECON2篇)、ICDCSIWQoSICDMICPP2篇)等。(2)期刊IEEE/ACM ToNIEEE TMC5篇)、IEEE TDSCIEEE JSACIEEE TKDE2篇)、TITSTMMTIITHMS2篇)、ACM TKDD等。

主持国家自然科学基金面上项目国家自然科学基金青年基金项目CCF-百度松果基金(全国人工智能领域36人),中国博士后特别资助项目,中国博士后面上项目,国防科技重点实验室基金,吉林省自然科学基金项目。参与科技部人工智能2030重大项目,国家863计划、工信部重点科技发展计划等多项课题,累计可支配经费200余万元。

招生简介:

招收计算机相关专业的博士和硕士研究生:欢迎对下面相关领域(群体智能感知,区块链和隐私保护, 人工智能与大数据, 复杂系统,推荐系统等)研究感兴趣, 具有较好数学和英语基础,尤其是有随机过程、博弈论、算法设计与分析、图论、深度学习、强化学习、知识推理等知识储备, 并较为熟练掌握工程开发技术的同学报考我的的博士或硕士研究生。如果你不确定你的背景是否适合或者有其他的问题,可以随时通过邮件联系我(wangen@jlu.edu.cnwangen0310@126.com)。


团队新闻:

(08/2022) Our paper “Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing” is accepted by IEEE/ACM ToNCCF A!

(07/2022) Our paper “Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: a Graph Neural Network Approach” is accepted by IEEE TMCCCF A!

(06/2022) Our paper “Bilateral Privacy-Preserving Worker Selection in Spatial Crowdsourcing” is accepted by IEEE TDSCCCF A!

(06/2022) Our paper “Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain” is accepted by IEEE JSACCCF A!

(03/2022) Our paper “Spatial-Temporal Interval Aware Sequential POI Recommendation” is accepted by IEEE ICDE 2022CCF A!

(02/2022) Our paper “Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach” is accepted by IEEE TMCCCF A!

(12/2021) Our paper “Worker Selection Towards Data Completion for Online Sparse Crowdsensing” is accepted by IEEE INFOCOM 2022CCF A!

 (12/2021) Our paper “Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing: A Graph-based Approach” is accepted by IEEE INFOCOM 2022CCF A!

 (12/2021) Our paper “Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing” is accepted by IEEE INFOCOM 2022CCF A!

 (04/2022) I will serve as TPC member of IEEE INFOCOM 2023!


论文成果(第一或通讯作者):

1代表性期刊

1. En Wang, Yongjian Yang, Jie Wu, Wenbin Liu, Xingbo Wang "An Efficient Prediction-Based User Recruitment for Mobile Crowdsensing," IEEE Transactions on Mobile Computing, 2017, 17 (1): 16-28.CCF A, IF: 5.577

2. Yongjian Yang, Wenbin Liu, En Wang*, Jie Wu, "A Prediction-based User Selection Framework for Heterogeneous Mobile CrowdSensing," IEEE Transactions on Mobile Computing, 2018, 18 (11): 2460-2473.CCF A, IF:5.577

3. Wenbin Liu, Yongjian Yang, En Wang*, Hengzhi Wang, Zihe Wang, Jie Wu, "Dynamic Online User Recruitment With (Non-) Submodular Utility in Mobile CrowdSensing," IEEE/ACM Transactions on Networking, 2021, 29(5): 2156-2169. (CCF A, IF:3.56)

4. En Wang, Hengzhi Wang, Yongjian Yang, Wenbin Liu, "Truthful Incentive Mechanism for Budget-Constrained Online User Selection in Mobile Crowdsensing," IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2021.3083920. (CCF A, IF:5.577)

5. Hengzhi Wang, Yongjian Yang, En Wang*, Wenbin Liu, Yuanbo Xu, Jie Wu, "Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach," IEEE Transactions on Mobile Computing, 2022, doi:10.1109/TMC.2022. 3153451.  (CCF A, IF: 5.577)

6. Yuanbo Xu, Yongjian Yang, En Wang*, Fuzhen Zhuang, Hui Xiong, "Detect Professional Malicious User with Metric Learning in Recommender Systems," IEEE Transactions on Knowledge and Data Engineering, 2020. (CCF A, IF:6.977)

7. Yuanbo Xu, En Wang*, Yongjian Yang, Yi Chang, "A Unified Collaborative Representation Learning for Neural-Network based RecommenderSystems," IEEE Transactions on Knowledge and Data Engineering, 2021. (CCF A, IF:6.977)

8. Yongjian Yang, Yuanbo Xu, En Wang*, Jiayu Han, Zhiwen Yu, "Improving Existing Collaborative Filtering Recommendations via Serendipity-based Algorithm," IEEE Transactions on Multimedia, 2017, 20 (7): 1888-1900.CCF B, JCR Q1, IF: 6.513

9. Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong, "Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback," ACM Transactions on Knowledge Discovery from Data, 2020, 14(4): 1-25. (CCF B, IF: 2.713)

10. En Wang, Mijia Zhang, Xiaochun Cheng, Yongjian Yang, Wenbin Liu, Huaizhi Yu, Liang Wang, Jian Zhang. "Deep Learning-Enabled Sparse Industrial CrowdSensing and Prediction," IEEE Transactions on Industrial Informatics, 2020, 17(9): 6170-6181. (JCR Q1, IF: 10.215)

11. Kaihao Lou, Yongjian Yang, En Wang*, Zheli Liu, Baker Thar, Bashir Ali Kashif, "Reinforcement Learning Based Advertising Strategy Using Crowdsensing Vehicular Data," IEEE Transactions on Intelligent Transportation Systems, 2020, 22(7): 4635 – 4647.JCR Q1, IF: 6.492

12. En Wang, Yongjian Yang, Jie Wu, Kaihao Lou, Dongming Luan, Hengzhi Wang, "User Recruitment System for Efficient Photo Collection in Mobile Crowdsensing," IEEE Transactions on Human-Machine Systems, 2019, 50(1): 1-12. (CCF B, JCR Q2, IF: 2.968)

13. Hengzhi Wang, Yongjian Yang, En Wang*, Liang Wang, Qiang Li, Zhiyong Yu, "Incentive Mechanism for Mobile Devices in Dynamic Crowd Sensing System," IEEE Transactions on Human-Machine Systems, 2020, 51(4): 365-375.CCF B, IF: 2.968

14. 王恩, 杨永健, 李莅, "基于动态半马尔可夫路径搜索模型的DTN分簇路由方法," 计算机学报, 2015, 38(3): 483-499.(国内权威期刊)

15. 王恩, 杨永健, 李莅, "DTN中基于生命游戏的拥塞控制策略," 计算机研究与发展, 2014, 51(11): 2393-2407.(国内权威期刊)

2代表性会议

1. Wenbin Liu, Yongjian Yang, En Wang*, Jie Wu. Dynamic User Recruitment with Truthful Pricing for Mobile CrowdSensing. IEEE INFOCOM 2020.CCF A

2. En Wang, Yuanbo Xu, Yongjian Yang, Fukang Yang, Chunyu Liu, Yiheng Jiang. ToP: Time-dependent Zone-enhanced Points-of-interest Embedding-based Explainable Recommender system. IEEE INFOCOM 2021. (CCF A)

3. En Wang, Mijia Zhang, Yuanbo Xu, Haoyi Xiong, Yongjian Yang. Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing. IEEE INFOCOM 2022. (CCF A)

4. Hengzhi Wang, En Wang*, Yongjian Yang, Jie Wu, Falko Dressler. Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing: A Graph-based Approach. IEEE INFOCOM 2022. (CCF A)

5. Wenbin Liu, En Wang*, Yongjian Yang, Jie Wu. Worker Selection Towards Data Completion for Online Sparse Crowdsensing. IEEE INFOCOM 2022. (CCF A)

6. En Wang, Yiheng Jiang, Yuanbo Xu, Liang Wang, Yongjian Yang. Spatial-Temporal Interval Aware Sequential POI Recommendation. IEEE ICDE 2022. (CCF A)

7. En Wang, Mijia Zhang, Yongjian Yang, Yuanbo Xu*, Jie Wu. Exploiting Outlier Value Effects in Sparse Urban CrowdSensing. IEEE IWQoS 2021. (CCF B)

8. En Wang, Dongming Luan, Yongjian Yang, Zihe Wang, Pengmin Dong, Dawei Li, Wenbin Liu, Jie Wu. Distributed Game-Theoretical Route Navigation for Vehicular Crowdsensing. ACM ICPP 2021. (CCF B)

9. Hengzhi Wang, Yongjian Yang, En Wang*, Wenbin Liu, Yuanbo Xu, Jie Wu. Combinatorial Multi-Armed Bandit Based User Recruitment in Mobile Crowdsensing. IEEE SECON 2020.CCF B

10. Leye Wang, Wenbin Liu, Daqing Zhang, Yasha Wang, En Wang*, Yongjian Yang. Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing. IEEE ICDCS 2018.CCF B


获奖情况:

[1] 公司首届十佳研究生,2016年;

[2] 吉林省优秀博士学位论文,2017年;

[3] ACM China 优秀博士学位论文,2017年;

[4] 入选公司首届“培英工程”资助计划(50/年),2017年;

[5] 吉林省青年人才托举计划(全省12人),2019年;

[6] 吉林省人才政策“18条”(吉林省人社厅),2020年;

[7] 公司第九届青年教师教学水平大赛二等奖,2020年;

[8] CCF Transactions on Pervasive Computing and Interaction最佳审稿人,2021年;

[9] 公司“唐敖庆学者”领军教授,2022;

[10] 吉林省第八批拔尖创新人才(吉林省人民政府),2022;


承担项目情况:

作为项目负责人主持承担了多项国家级、省级科研项目,部分列举如下:

1. 2020.01-2023.12 视觉群智感知中移动终端感知成本优化的研究(No. 61972450国家自然科学基金面上基金项目 60

2. 2018.01-2020.12 移动社会网络中以优化报文投递率为目标的关键技术研究(No. 61702215)国家自然科学基金青年基金项目 23

3. 2017.06-2019.06 移动群智感知中基于移动性预测的用户招募问题研究(No. 2017M611322)中国博士后面上基金项目 5

4. 2018.06-2020.06 基于D-LBSNs的移动推荐系统研究(No. 2018T110247)中国博士后特别资助项目 15

5. 2019.01-2021.01移动群智感知中用户激励与招募问题的关键技术研究(No.20190201022JC)吉林省自然科学基金项目 15

6. 2019.06-2021.06 以实现数据高效采集为目标的群智感知资源调度策略研究(No. 61421010418国防科技重点实验室基金项目 30

7. 2021.01-2022.12 基于博弈论优化多智能体深度强化学习研究及其在城市物流众包任务中的应用(No. 2021PP15002000CCF-百度松果基金 20


学术任职和服务:

[1] 中国计算机学会高级会员 [2] 中国计算机学会青年工作委员会委员;

[3] 中国计算机学会物联网专委会委员; [4] 中国计算机学会普适计算专委会委员;

[5] 中国计算机学会互联网专委会委员; [6] 吉林省通信学会理事;

[7] 中国电子学会物联网青年专技组委员; [8] 国际计算机学会ACM SIGBED China委员;

[9] 重要国际学术会议如CCF AIEEE INFOCOMCCF BIEEE SECON等程序委员会委员

[10] ACM China图灵大会宣讲委员会主席,2021

[11] CCF A类会议INFOCOM分会场主席,2022年;[12] CCF B会议IWQoS分会场主席,2021年;

[13] CCF C类会议MASS分会场主席,2020年;[14]第四届中国软件开源创新大赛评审组成员

[15] 第十四届吉林省科协青年科学家分论坛-人工智能与未来网络前沿技术执行主席,2020年;

[16] CCF TPCIFrontiers in Sustainable Cities等多个期刊的Review Editor

[17] 多个国际一流刊物IEEE JSACIEEE/ACM TONIEEE TPDSIEEE TMCIEEE TKDE审稿人。


联系方式:

[1] 电话 : 13756494481

[2] 微信 : wangen0310

[3] 邮箱 : wangen@jlu.edu.cn