个人简介：
王恩，教育部重大人才工程青年学者，吉林大学计算机学院教授，博士生导师，软件学院副院长。
主要从事群智计算、数据挖掘、具身智能等领域的研究。近 5 年以第一责任作者发表CCF A 类论文 30 余篇，ESI高被引论文6篇，H-index:32，由 Springer 出版学术专著2部。入选强国青年科学家提名奖，全国青马工程科技专班，吉林省拔尖创新人才，吉林省突出贡献专家等。主持国家自然科学基金重大研究计划重点项目1项，面上项目2项，青年项目1项，吉林省杰青1项。参与承担人工智能2030重大项目、国家重点研发计划和吉林省重大科技专项的课题各1项，以第一完成人获中国商业联合会科技创新一等奖。
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(群体智能计算,具身智能,人工智能与大数据等)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.cn，wangen0310@126.com）。
团队新闻：
News！(04/2026) Our paper “GeoBridge: A Semantic-Anchored Multi-View Foundation Model Bridging Images and Text for Geo-Localization” is accepted by IEEE/CVF Computer Vision and Pattern Recognition Conference 2026（CCF A）!
News！(04/2026) Our paper “A Novel Gradual Inference Approach for Handling Perturbations in Sparse CrowdSensing” is accepted by IEEE ToN（CCF A）!
News！(03/2026) Our paper “Data Pricing via Uncertainty Quantification for Sparse Mobile CrowdSensing” is accepted by IEEE Transactions on Services Computing（CCF A）!
News！(03/2026) Our paper “Heterogeneous graph reinforcement learning for dependency-aware multi-task allocation in spatial crowdsourcing” is accepted by IEEE TMC（CCF A）!
News！(01/2026) Our paper “Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing” is accepted by AAAI 2026（CCF A）!
News！(01/2026) Our paper “Spatio-Temporal Pyramid-Based Multi-Scale Data Completion in Sparse Crowdsensing” is accepted by IEEE TMC（CCF A）!
News！(10/2025) Our paper “HeadMon+: Domain Adaptive Head Dynamic-based Riding Maneuver Prediction” is accepted by IEEE TMC（CCF A）!
News！(06/2025) Our paper “Rethinking the Effect of Sparse Data Completion on Sparse Mobile Crowdsensing Tasks” is accepted by IEEE TMC（CCF A）!
News！(05/2025) Our paper “Federated Learning-based Distributed Data Completion in Sparse Mobile CrowdSensing” is accepted by IEEE TMC（CCF A）!
News！(03/2025) Our paper “A New Data Completion Perspective on Sparse CrowdSensing: Spatiotemporal Evolutionary Inference Approach” is accepted by IEEE TMC（CCF A）!
News！(02/2025) Our paper “Learning without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems” is accepted by IEEE TKDE（CCF A）!
News！(01/2025) Our paper “A Differentially Private Approach for Budgeted Combinatorial Multi-armed Bandits” is accepted by IEEE TDSC（CCF A）!
News！(12/2024) Our paper “Distributed Task Selection for Crowdsensing: A Game-Theoretical Approach” is accepted by IEEE TMC（CCF A）!
News！(11/2024) Our paper “A Truthful Pricing-based Defending Strategy against Adversarial Attacks in Budgeted Combinatorial Multi-armed Bandits” is accepted by IEEE TKDE（CCF A）!
News！(10/2024) Our paper “Spatial-Temporal Interval Aware Individual Future Trajectory Prediction” is accepted by IEEE TKDE（CCF A）!
News！(07/2024) Our paper “Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing” is accepted by IEEE TMC（CCF A）!
News！(06/2024) Our paper “A Data-Driven Crowdsensing Framework for Parking Violation Detection” is accepted by IEEE TMC（CCF A）!
News！(05/2024) Our paper “Few-Shot Data Completion for New Tasks in Sparse CrowdSensing” is accepted by IEEE INFOCOM 2024（CCF A）!
News！(05/2024) Our paper “A Semi-Asynchronous Decentralized Federated Learning Framework via Tree-Graph Blockchain” is accepted by IEEE INFOCOM 2024（CCF A）!
News！(05/2024) Our paper “META-MCS: A Meta-knowledge Based Multiple Data Inference Framework” is accepted by IEEE INFOCOM 2024（CCF A）!
News！(02/2024) Our paper “GS-RS: A Generative Approach for Alleviating Cold start and Filter bubbles in Recommender Systems” is accepted by IEEE TKDE（CCF A）!
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: 9.2）
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: 9.2）
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: 3.6)
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, 2021, 21(12): 4642-4655. (CCF A, IF: 9.2)
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, 22(7): 4314-4331. (CCF A, IF: 9.2)
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, 34(9): 4133-4146. (CCF A, IF: 10.4)
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, 2022, 34(11):5126-5139.（CCF A，IF: 10.4）
8. 刘文彬, 杨永健, 王恩*, “合作性移动群智感知中具有一般效用和成本的用户招募方法,” 计算机学报, 2022, 45(12): 2576-2591.（国内权威期刊）
9. 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）
10. 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）
11. Yuanbo Xu, En Wang*, Yongjian Yang, Hui Xiong, “GS2-RS: A Generative Approach for Alleviating Cold start and Filter bubbles in Recommender Systems,” IEEE Transactions on Knowledge and Data Engineering, 2023, 36(2): 668-681. (CCF A, IF: 10.4)
12. Yongjian Yang, Kaihao Lou, En Wang*, Wenbin Liu, Jianwen Shang, Xueting Song, Dawei Li, Jie wu, “Multi-Agent Reinforcement Learning Based File Caching Strategy in Mobile Edge Computing,” IEEE/ACM Transactions on Networking, 2023. （CCF A，IF: 3.6）
13. Hengzhi Wang, Yongjian Yang, En Wang*, Xiulong Liu, Jingxiao Wei, and Jie Wu, “Bilateral privacy-preserving worker selection in spatial crowdsourcing,” IEEE Transactions on Dependable and Secure Computing, 2022.（CCF A，IF: 7.5）
14. En Wang, Mijia Zhang, Wenbin Liu, Haoyi Xiong, Bo Yang, Yongjian Yang, Jie Wu, “Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing,” IEEE/ACM Transactions on Networking, 2022.（CCF A，IF: 3.6）
15. En Wang, Weiting Liu, Wenbin Liu, Yongjian Yang, Bo Yang, Jie Wu. “Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: a Graph Neural Network Approach,” IEEE Transactions on Mobile Computing，2022.（CCF A，IF: 9.2）
16. En Wang, Jiatong Cai, Yongjian Yang, Wenbin Liu, Hengzhi Wang, Bo Yang, Jie Wu, “Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain, “ IEEE Journal on Selected Areas in Communications, 2022, 40(12): 3547-3561.（CCF A，IF: 17.2）
17. En Wang, Yuanbo Xu, Yongjian Yang, Yiheng Jiang, Fukang Yang, Jie Wu, “Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation,” IEEE Transactions on Knowledge and Data Engineering，2023. （CCF A，IF: 10.4）
18. Dongming Luan, En Wang*, Nan Jiang, Bo Yang, Yongjian Yang, Jie Wu, “A Data-Driven Crowdsensing Framework for Parking Violation Detection,” IEEE Transactions on Mobile Computing, 2023 , 23(6): 6921-6935. （CCF A，IF: 9.2）
19. En Wang, Mijia Zhang, Bo Yang, Yongjian Yang, Jie Wu, “Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing,” IEEE Transactions on Mobile Computing, 2023 , 23(7): 7585-7601. （CCF A，IF: 9.2）
20. Hengzhi Wang, En Wang*, Yongjian Yang, Bo Yang, Jiangchuan Liu, “A Truthful Pricing-based Defending Strategy against Adversarial Attacks in Budgeted Combinatorial Multi-armed Bandits,” IEEE Transactions on Knowledge and Data Engineering, 2023, 36(11): 5529-5543. （CCF A，IF: 10.4）
21. Yiheng Jiang, Yongjian Yang, Yuanbo Xu*, En Wang, “Spatial-Temporal Interval Aware Individual Future Trajectory Prediction,” IEEE Transactions on Knowledge and Data Engineering, 2023, 36(10): 5374-5387. （CCF A，IF: 10.4）
22. Hengzhi Wang, Laizhong Cui*, En Wang, Jiangchuan Liu, “A Differentially Private Approach for Budgeted Combinatorial Multi-armed Bandits,” IEEE Transactions on Dependable and Secure Computing, 2024, 22(1): 424-439. （CCF A，IF: 7.5）
23. En Wang, Dongming Luan, Yuanbo Xu*, Yongjian Yang, Jie Wu, “Distributed Task Selection for Crowdsensing: A Game-Theoretical Approach,” IEEE Transactions on Mobile Computing, 2024, 23(12): 14544-14560. （CCF A，IF: 9.2）
24. En Wang, Zixuan Song, Mengni Wu, Wenbin Liu, Bo Yang, Yongjian Yang, Jie Wu, “A New Data Completion Perspective on Sparse CrowdSensing: Spatiotemporal Evolutionary Inference Approach,” IEEE Transactions on Mobile Computing, 2024, 24(3): 1357-1371. （CCF A，IF: 9.2）
25. Yuanbo Xu, Fuzhen Zhuang, En Wang*, Chaozhuo Li, Jie Wu, “Learning without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems,” IEEE Transactions on Knowledge and Data Engineering, 2024, 37(2): 754-765. （CCF A，IF: 10.4）
26. Zengyi Han, En Wang*, Mohan Yu, Jie Wang, Yuuki Nishiyama, Kaoru Sezaki, “HeadMon+: Domain Adaptive Head Dynamic-based Riding Maneuver Prediction,” IEEE Transactions on Mobile Computing, 2025, 24(10): 9570-9583. （CCF A，IF: 9.2）
27. Yuanbo Xu, Jiawei Liu, En Wang*, Bo Yang*, Dongming Luan, Yongjian Yang, “Rethinking the Effect of Sparse Data Completion on Sparse Mobile Crowdsensing Tasks,” IEEE Transactions on Mobile Computing, 2025, 24(6): 5094-5105. （CCF A，IF: 9.2）
28. Yong Zhao, Zhengqiu Zhu, Chen Gao, En Wang, Jincai Huang, Fei-Yue Wang, “Heterogeneous graph reinforcement learning for dependency-aware multi-task allocation in spatial crowdsourcing,” IEEE Transactions on Mobile Computing, 2025, 25(3): 3417-3434. （CCF A，IF: 9.2）
29. Wenbin Liu, Hao Du, En Wang*, Jiajian Lv, Weiting Liu, Bo Yang, Jie Wu, “Spatio-Temporal Pyramid-Based Multi-Scale Data Completion in Sparse Crowdsensing,” IEEE Transactions on Mobile Computing, 2025, 25(1): 1270-1286. （CCF A，IF: 9.2）
30. En Wang, Baoju Li, Wenbin Liu*, Zengyi Han, Cong Wang, Ximing Li, Jie Wu, “Federated Learning-based Distributed Data Completion in Sparse Mobile CrowdSensing,” IEEE Transactions on Mobile Computing, 2025, 25(5): 6784-6800. （CCF A，IF: 9.2）
31. Wenbin Liu, En Wang, Bo Yang, Yongjian Yang, Jie Wu, “Data Pricing via Uncertainty Quantification for Sparse Mobile CrowdSensing,” IEEE Transactions on Services Computing, 2026, 19(2): 1062-1074. （CCF A，IF: 5.8）
32. En Wang, Zixuan Song, Wenbin Liu, Jing Deng, Bo Yang, Yongjian Yang, “A Novel Gradual Inference Approach for Handling Perturbations in Sparse CrowdSensing,” IEEE Transactions on Networking, 2026, early access. （CCF A，IF: 5.29）
（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, Weiting Liu, Wenbin Liu, Chaocan Xiang, Bo Yang, Yongjian Yang, “Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing,” IEEE INFOCOM 2023.（CCF A）
8. Zijie Tian, En Wang*, Wenbin Liu, Baoju Li, Funing Yang, “META-MCS: A Meta-knowledge Based Multiple Data Inference Framework,” IEEE INFOCOM 2024. (CCF A)
9. Cheng Zhang, Yang Xu*, Xiaowei Wu, En Wang, Hongbo Jiang, Yaoxue Zhang, “A Semi-Asynchronous Decentralized Federated Learning Framework via Tree-Graph Blockchain,” IEEE INFOCOM 2024. (CCF A)
10. En Wang, Mijia Zhang, Bo Yang, Yang Xu, Zixuan Song, Yongjian Yang, “Few-Shot Data Completion for New Tasks in Sparse CrowdSensing,” IEEE INFOCOM 2024. (CCF A)
11. En Wang, Xingyu Lin, Du Su, Chengfu Bao, Zhanghou Lv, Funing Yang, Yuanbo Xu, Wenbin Liu*, “Indirect online preference optimization via reinforcement learning,” IJCAI 2025. (CCF A)
12. Hangtong Xu, Yuanbo Xu*, Huayuan Liu, En Wang*, “Flow-based time-aware causal structure learning for sequential recommendation,” IJCAI 2025. (CCF A)
13. Yuanbo Xu, Hongxu Shen, Yiheng.Jiang, En Wang*, “Where and when: predict next POI and its explicit timestamp in sequential recommendation,” IJCAI 2025. (CCF A)
14. Hao Du, Wenbin Liu, Ziyu Sun, Haoyang Su, En Wang, Yuanbo Xu, “Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing,” AAAI 2026. (CCF A)
15. Zixuan Song, Jing Zhang, Di Wang, Zidie Zhou, Wenbin Liu, Haonan Guo, En Wang, Bo Du, “GeoBridge: A Semantic-Anchored Multi-View Foundation Model Bridging Images and Text for Geo-Localization,” CVPR 2026. (CCF A)
获奖情况：
[1]教育部重大人才工程青年学者,2023年；
[2]强国青年科学家提名奖，2025年；
[3]中国商业联合会服务业科技创新奖一等奖，2024年；
[4]共青团中央全国青马工程科技专班入选者，2025年；
[5]吉林省有突出贡献专家，2024年；
[6]吉林省第八批拔尖创新人才,2022年；
[7]吉林省杰青（自然科学基金A类入选者），2025年；
[8]吉林省拔尖C类（领军）人才，2023年；
[9] 吉林省青年人才托举计划入选者(全省12人),2019年；
[10]中国铁道学会科学技术二等奖，2023年；
[11]全球前2％顶尖科学家榜单，2024年；
[12] ACM China 新星奖，2021年；
[13] CCF-百度松果基金获得者，2021年；
[14]中国物联网大会优秀论文奖，2025年；
[15]第十九届“挑战杯”人工智能领域主擂台赛一等奖 （第一指导教师），2025年；
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. 2026-2028 面向流程柔性生产的垂直大模型智能协同多物理场耦合调控理论与方法（No. 92567204）国家自然科学基金重大研究计划重点项目
2. 2022-2025 智能算法模型安全评估与风险监测技术（No. 2022YFB3103700） 国家重点研发计划“网络空间安全治理”重点专项课题（课题二）
3. 2021-2025 复杂动态系统智能理论与方法研究（No. 2021ZD0112500） 科技创新2030新一代人工智能重大项目（课题一）
4. 2023-2026 基于群智感知的城市大气污染立体监测和预报理论与方法研究(No. 62272193) 国家自然科学基金面上项目
5. 2020-2023 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项目
6. 2018-2020 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项目
7. 2026-2028 时空基础模型理论和方法研究（No. 20260101016JJ）吉林省自然科学基金-青年科学基金项目（A类）
8. 2019-2021 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
9. 2019-2021 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（学科布局项目）
10. 2018-2020 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
11. 2017-2019 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
12. 2021-2022 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. 2021PP15002000）CCF-百度松果基金
学术任职和服务：
[1] 中国计算机学会杰出会员；
[2] 中国计算机学会CCCF专题编委
[3] 中国计算机学会会刊《计算》杂志专题栏目编委
[4] 《中国计算机学会快讯》编委
[5] 《计算机科学前沿》（FCS）青年编委
[6] 中国计算机学会青年工作委员会委员；
[7] 中国计算机学会物联网专委会委员；
[8] 中国计算机学会普适计算专委会委员；
[9] 中国计算机学会互联网专委会委员；
[10] 吉林省通信学会理事；
[11] 中国电子学会物联网青年专技组委员；
[12] ACM SIGBED China委员；
[13] ACM China图灵大会宣讲委员会主席,2021年；
[14] CCF A类会议IEEE INFOCOM 程序委员会委员, 2021-2023年；
[15] CCF A类会议IEEE AAAI 程序委员会委员, 2023年；
[16] CCF B类会议IEEE IPDPS 程序委员会委员, 2023年；
[17] CCF B类会议IEEE SECON 程序委员会委员, 2022-2023年；
[18] CCF A会INFOCOM分会场主席,2022年；
[19] CCF B会IWQoS分会场主席,2021年；
[20] CCF C类会议MASS分会场主席,2020年；
[21] 第四届中国软件开源创新大赛评委；
[22] CCF C类会议MSN大会 Tutorial Chair,2022年；
[23] 第9届全国智能信息处理学术会议(NCIIP)出版主席,2023年；
[24] 第十四届吉林省科协青年科学家分论坛执行主席,2020年；
联系方式：
[1] 电话 : 13756494481
[2] 微信 : wangen0310
[3] 邮箱 : wangen@jlu.edu.cn
