教师主页移动版

个人经历 personal experience 工作经历 教育经历 2024.01~至今         西北工业大学   计算机学院  长聘教授/博士生导师2022.06~2024.01   西北工业大学   计算机学院  长聘副教授/博士生导师2018.06~2022.05   西北工业大学   计算机学院  准聘副教授/硕士生导师2015.03~2018.04   西北工业大学   计算机学院  博士后 2010.03~2014.03   中国科学院沈阳自动化研究所   博士研究生2007.09~2009.07   东北大学                                 硕士研究生

教育教学

综合介绍 General Introduction 王亮，西北工业大学长聘教授，博士生导师，国家级青年人才，陕西省杰出青年基金获得者，西北工业大学“翱翔青年学者”，CCF高级会员，ACM西安分会秘书长，CCF普适计算专委会执行委员，CCF开源发展委员会执行委员、CCF物联网专委会执行委员。主要研究方向为物联网、城市计算、群智计算等，在包括TKDE、TMC、JASC、TOIS、ICDE、CSCW、TCYB、TKDD、TOSN等国际著名期刊和重要国际会议发表论文70余篇，出版学术专著《群智感知计算》入选国家科学技术学术著作出版基金资助项目，制订国家标准4项（物联网领域），主持国家自然科学基金重点项目、联合基金重点项目课题、面上项目、青年基金项目，国家重点研发计划子课题、陕西省自然科学基础研究计划等。获得2020年度教育部自然科学一等奖，2019年度ACM西安分会新星奖，IEEE TMC 2022年度最佳论文亚军奖，BigCom 2022最佳论文奖，CyberLife 2019杰出论文奖，PCC2016最佳论文奖，西北工业大学教学成果一等奖，连续两年（2021年、2022年）指导学生获得全国大学生物联网设计竞赛（华为杯）全国总决赛一等奖，并获优秀指导教师奖。 个人相册

荣誉获奖

教育教学 Education and teaching 招生信息 招收计算机科学与技术学科博士研究生（每年1~2名）和硕士研究生（每年2~3名）所在团队为於志文教授担任主任的人机物融合群智计算教育部重点实验室、智能感知与计算工业和信息化部重点实验室，欢迎计算机、数学、物联网等相关专业的同学咨询、报考。

科学研究

荣誉获奖 Awards Information 1)  国家“万人计划”青年拔尖人才；2）陕西省杰出青年基金获得者；3）西北工业大学“翱翔青年学者”；4）2020年度教育部自然科学一等奖；5）ACM 西安会分 新星奖（2019年度）；6)  中国计算机学会第十二届全国普适计算学术会议唯一最佳论文奖;7)  IEEE TMC 2022 年度最佳论文亚军奖（The Runner-up for 2022 Best Paper Award）8）IEEE UIC2019 杰出服务奖（Outstanding Service Awards）；9）全国大学生物联网设计竞赛（华为杯）全国总决赛一等奖（2021年、2022年）  指导教师 10）全国大学生物联网设计竞赛（华为杯）优秀指导教师奖

学术成果

科学研究 Scientific Research 1）国家自然科学基金（重点项目）——大规模移动群体参与式感知计算理论与关键技术（62332014）, 2024.01~2028.12, 230万，项目负责人2)   陕西省自然科学基础研究计划（杰出青年科学基金项目）——移动群智网络感知与计算（2023-JC-JQ-54），2023.01~2025.12，50万，项目负责人3)   国家自然科学基金-广东联合基金（重点支持项目）——基于多维度深层次感知信息的社群情境计算（U2001207）, 2021.01~2024.12, 255万，课题负责人4） 国家自然科学基金（面上项目）——移动群智感知多任务协同优化分配方法研究（61972319），2020.01~2023.12，60万，项目负责人5） 国家自然科学基金（青年基金项目）—— 基于多粒度知识发现的人群复杂行为模式分析及预测模型研究（61402360），2014.01~2017.12，25万，项目负责人6） 陕西省自然科学基础研究计划-一般项目（青年）—— 面向全生命周期的多源移动群智感知数据质量增强方法研究（2018JQ6034），2018.01~2019.12   项目负责人7） 陕西省教育厅专项科研计划项目 —— 面向移动社会网络的用户行为理解及个性化服务推荐研究（16JK1509），2016.08~2018.12    项目负责人8） 国家重点研发计划“云计算和大数据”专项 —— 面向智慧城市的智能化集成化软件互操作平台(2017YFB1002000) ，2017.08~2020.7，115.83万，子课题负责人，课题联系人9）国家重点研发计划“物联网与智慧城市”专项 —— 智慧城市的群体态势辨识与服务计算的基础理论及关键技术研究(2018YFB2100800) 2019.05~2022.5，335万，课题联系人10）国家自然科学基金国际（地区）合作与交流重点项目——跨空间用户行为数据处理关键问题研究（61960206008），2020.01~2024.12，245万元，学术骨干，参与11） 国家重点研发计划 —— 新型穿戴式体感交互设备（2016YFB1001401 ），2017.01~2020.12，102.5万，子课题参与12）中央高校基本科研业务费（工信部）——大数据驱动的人-机-物三元空间深度融合感知与交互演化研究(31020180QD139)，2018.10~2020.09，20万，项目负责人

综合介绍

学术成果 Academic Achievements 【专著】於志文，郭斌，王亮. 物联网理论与技术前沿丛书：《群智感知计算》，清华大学出版社，2021. (入选2021年度国家科学技术学术著作出版基金资助项目). 【WWW】Xuelian Ni, Fei Xiong, Yu Zheng and Liang Wang. Graph Contrastive Learning with Kernel Dependence Maximization for Social Recommendation, The Web Conference 2024 (WWW 2024), May 13-17, 2024, Singapore.  (CCF A类，交叉/综合/新兴 领域Top会议) .【IEEE TSE】Jiaqi Liu, Fengming Zhang, Xin Zhang, Zhiwen Yu, Liang Wang, Yao Zhang and Bin Guo. hmCodeTrans: Human-Machine Interactive Code Translation, IEEE Transactions on Software Engineering, 2024. (CCF A类，JCR分区Q1，IF=7.4，软件工程/系统软件/程序设计语言 领域Top期刊). 【Chapter】Liang Wang, Yong Cheng, D. Yang, Xu, H., Wang, X., Guo, B., & Yu, Z. Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study. Book Chapter of Mobile Crowdsourcing: From Theory to Practice (pp. 433-457). Cham: Springer International Publishing, 2023. 【ACM TOIS】Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang and Hongshu Chen.  Community Preserving Social Recommendation with Cyclic Transfer Learning, ACM Transactions on Information Systems, 2023. (CCF A类，JCR分区Q1，IF=4.657，数据库/数据挖掘/内容检索 领域Top期刊). 【IEEE TMC】Lei Han, Zhiwen Yu, Xuan Zhang, Zhiyong Yu, Weihua Shan, Liang Wang and Bin Guo. Co-optimization of Cell Selection and Data Offloading in Sparse Mobile Crowdsensing, IEEE Transactions on Mobile Computing, 2023. (CCF A类，JCR分区Q1，IF=7.90，计算机网络领域Top期刊). 【IEEE TMC】Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan, Bin Guo and Chau Yuen. Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning, , IEEE Transactions on Mobile Computing, 2023. (CCF A类，JCR分区Q1，IF=7.90，计算机网络领域Top期刊). 【IEEE TSMC】Tian Wang, Bing Sun, Liang Wang, Xi Zheng and Weijia Jia. EIDLS: An Edge-Intelligence-based Distributed Learning System over Internet of Things, IEEE Transactions on Systems, Man, and Cybernetics: Systems，2023. (CCF B类，JCR分区Q1，IF=11.471，人机交互与普适计算领域Top期刊). 【IEEE ICDM】Jingkai Peng, Fei Xiong, Shirui Pan, Liang Wang and Xi Xiong. Robust Network Alignment with the Combination of Structure and Attribute Embeddings, 23rd IEEE International Conference on Data Mining (ICDM 2023), December 1-4, 2023, Shanghai, China.  (CCF B类，数据库/数据挖掘/内容检索 领域Top会议). 【Springer ASE】Xin Zhang, Zhiwen Yu, Jiaqi Liu, Hui Wang, Liang Wang and Bin Guo. HMPT: A Human-Machine Cooperative Program Translation Method, Automated Software Engineering, 2023. (CCF B类，软件工程领域Top期刊). 【Elsevier CSFX】Xuelian Ni, Fei Xiong, Shirui Pan, Hongshu Chen, Jia Wu and Liang Wang. How heterogeneous social influence acts on human decision-making in online social networks, Chaos, Solitons & Fractals, Volume 172, 2023, 113617. (IF=9.922, 中科院数学1区 Top)【IEEE MSN】Shan Su, Haixing Xu, Liang Wang, Bin Guo and Zhiwen Yu.  Age-of-Information Driven Mobile Crowdsensing in Wireless Edge Computing, The 19th International Conference on Mobility, Sensing and Networking (MSN 2023)  (CCF C类会议)【IEEE/ACM IWQoS】Yuzhu Liang,  Wenhua Wang, Xi Zheng, Qin Liu, Liang Wang, Tian Wang. Collaborative Edge Service Placement for Maximizing QoS with Distributed Data Cleaning, IEEE/ACM International Symposium on Quality of Service 2023 (IWQoS 2023), 19–21 June 2023,  Orlando, FL, USA.  (CCF B类会议)【IEEE ICC】Yao Zhang, Tom H. Luan, Hui Wang, Liang Wang, Zhiwen Yu, Bin Guo and Yimin Zhao. Optimal Collaborative Uploading in Crowdsensing With Graph Learning, 57th IEEE International Conference on Communications (ICC 2023), 28 May - 01 June, 2023, Rome, Italy.  (CCF C类会议)【IEEE TMC】Liang Wang, Dingqi Yang, Zhiwen Yu, Fei Xiong, Lei Han, Shirui Pan and Bin Guo. Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective, IEEE Transactions on Mobile Computing, 2022. (CCF A类，JCR分区Q1，IF=7.9，计算机网络领域Top期刊). 【IEEE TMC】Zhidan Liu, Junhong Zheng, Jinye Lin, Liang Wang, and Kaishun Wu. Radar: Adversarial Driving Style Representation Learning with Data Augmentation, IEEE Transactions on Mobile Computing, 2022. (CCF A类，JCR分区Q1，IF=7.9，计算机网络领域Top期刊). 【IEEE TMC】Liang Wang, Zhiwen Yu, Kaishun Wu, Dingqi Yang, En Wang, Tian Wang, Yihan Mei and Bin Guo. Towards Robust Task Assignment in Mobile Crowdsensing Systems, IEEE Transactions on Mobile Computing, 2022. (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊). 【IEEE ICDE】En Wang, Yiheng Jiang, Yuanbo Xu, Liang Wang and Yongjian Yang. Spatial-Temporal Interval Aware Sequential POI Recommendation, 38th IEEE International Conference on Data Engineering (ICDE 2022), Virtual Event 9th~12th May, 2022.  (CCF A类，数据库/数据挖掘/内容检索 领域Top会议)【IEEE TKDE】Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang and Philippe Cudre-Mauroux. Streaming Graph Embeddings via Incremental Neighborhood Sketching, IEEE Transactions on Knowledge and Data Engineering, 2022. (CCF A类，JCR分区Q1，IF=9.235，数据库/数据挖掘/内容检索 领域Top期刊). 【ACM TWEB】Haorui Zhu, Fei Xiong, Hongshu Chen, Xi Xiong and Liang Wang. Incorporating A Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation, ACM Transactions on the Web, 2022. (CCF B类，IF=2.043，数据库/数据挖掘/内容检索 领域Top期刊). 【Elsevier InfoSci】Chu Zhong, Fei Xiong, Shirui Pan, Liang Wang and Xi Xiong. Hierarchical Attention Neural Network for Information Cascade Prediction, Information Sciences, 2022. (CCF B类，中科院1区，JCR分区Q1，IF=8.233)【SIAM SDM】 Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen and Liang Wang. Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks, Proceedings of the SIAM International Conference on Data Mining (SDM 2022), April 28 - 30, 2022, estin Alexandria Old Town | Alexandria, Virginia, U.S. (CCF B类，数据库/数据挖掘/内容检索 领域Top会议). 【IEEE IPCCC】 Xueqing Wang, Liang Wang, Zhiwen Yu, Zichuan Xu, Yao Zhang and Weibo Chu. Pricing in the Open Market of Crowdsourced Video Edge Caching: A Newcomer Perspective. 41st IEEE International Performance Computing and Communications Conference (IPCCC), November 11-13, 2022, Austin, Texas, USA.  (CCF C类会议)【IEEE SMC】 Yixuan Chen, Jiaqi Liu, Zhiwen Yu, Hui Wang, Liang Wang and Bin Guo. HM-MDS: A Human-machine Collaboration based Online Medical Diagnosis System, 2022 IEEE International Conference on Systems, Man, and Cybernetics  (SMC), October 9-12, 2022, Prague, Czech Republic. (CCF C类会议)【CCF TPCI】 Shengtong Ge, Zhiwen Yu, Fan Yang, Jiaqi Liu and Liang Wang. Human–machine collaboration based sound event detection, CCF Transactions on Pervasive Computing and Interaction (2022).【ACM TIST】Liang Wang, Zhiwen Yu, Bin Guo, Dingqi Yang, Lianbo Ma, Zhidan Liu and Fei Xiong. Data-Driven Targeted Advertising Recommendation System for Outdoor Billboard, ACM Transactions on Intelligent Systems and Technology, 2021.  (JCR分区Q1，IF=4.654，人工智能 领域Top期刊).  【IEEE TMC】Lei Han, Zhiwen Yu, Zhiyong Yu, Liang Wang, Houchun Yin and Bin Guo. Online Organizing Large-scale Heterogeneous Tasks and Multi-skilled Participants in Mobile Crowdsensing，IEEE Transactions on Mobile Computing, 2021. (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊). 【IEEE TKDE】Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang and Vincent CS Lee. Anomaly Detection in Dynamic Graphs via Transformer, IEEE Transactions on Knowledge and Data Engineering, 2021. (CCF A类，JCR分区Q1，IF=9.235，数据库/数据挖掘/内容检索 领域Top期刊). 【IEEE MSN】Liang Wang, Haixing Xu, Zhiwen Yu, Rujun Guan, Bin Guo and Zhuo Sun.  Friendship Understanding by Smartphone-based Interactions: A Cross-space Perspective, The 17th International Conference on Mobility, Sensing and Networking (MSN 2021)  (CCF C类会议)【IEEE TMC】Liang Wang*，Dingqi Yang, Zhiwen Yu, Qi Han, En Wang, Kuang Zhou and Bin Guo. Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks，IEEE Transactions on Mobile Computing, 2021. (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊). 【IEEE IOT-J】Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu and Huan Liu. Learning Shared Mobility-aware Knowledge for Multiple Urban Travel Demands, IEEE Internet of Things Journal, 2021 （中科院1区，IF=10.238）【ACM CSCW】Liang Wang*, Zhiwen Yu, Dingqi Yang, Tian Wang, En Wang, Bin Guo, and Daqing Zhang. Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks,The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021), October 23-27, 2021. (CCF A类，人机系统/社会计算领域Top会议).【IEEE TMC】Lianbo Ma, Xueyi Wang, Xingwei Wang, Liang Wang, Ying Shi, Min Huang. TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Things, IEEE Transactions on Mobile Computing,  2021. (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊，ESI热点论文、高被引论文，Google Cite 111，TMC 2022 最佳论文亚军奖(Runner-up for the 2022 Best Paper Award)). 【IEEE IOT-J】Houchun Yin, Zhiwen Yu, Liang Wang, Jiangtao Wang, Lei Han, and Bin Guo. ISIATasker: Task Allocation for Instant-Sensing-Instant-Actuation Mobile Crowd Sensing, IEEE Internet of Things Journal, 2021 （中科院1区，IF=10.238）【IEEE IOT-J】Lei Han, Zhiyong Yu, Liang Wang, Zhiwen Yu, and Bin Guo. Keeping Cell Selection Model Up-to-Date to Adapt Time-Dependent Environment in Sparse Mobile Crowdsensing, IEEE Internet of Things Journal，2021（中科院1区，IF=10.238）【IEEE ICPADS】Hongsheng Hao, Liang Wang, Zenggang Xia, Zhiwen Yu, Jiahua Gu and Ning Fu. Traffic Congestion Prediction: A Spatial-Temporal Context Embedding and Metric Learning Approach, the 27th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2021) (CCF C类会议). 【IEEE TMC】Liang Wang*，Zhiwen Yu, Qi Han, Dingqi Yang, Shirui Pan, Yuan Yao, Daqing Zhang. Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing，IEEE Transactions on Mobile Computing, 2020. (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊). 【IEEE THMS】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.  (CCF B类，JCR分区Q1，IF=4.124，人机交互领域Top期刊)【IEEE TII】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 Transaction on Industrial Informations，2020，(中科院1区，JCR分区Q1，IF=11.648).【Elsevier InfoSci】Yutian Hu, Fei Xiong, Shirui Pan, Xi Xiong, Liang Wang, Hongshu Chen, Bayesian personalized ranking based on multiple-layer neighborhoods, Information Sciences, 2020. (CCF B类，中科院1区，JCR分区Q1，IF=8.233，Google Cite 36)【IEEE TCYB】Liang Wang*, Zhiwen Yu, Fei Xiong, Dingqi Yang, Shirui Pan and Zheng Yan, Influence Spread in Geo-Social Networks: A Multi-Objective Optimization Perspective, IEEE Transactions on Cybernetics, 2019，DOI: 10.1109/TCYB.2019.2906078. (CCF B类, 中科院1区，IF=19.118，人工智能领域Top期刊，Google Cite 32). 【IEEE TETCI】Hao Zhang, Lianbo Ma, Junyi Wang, Liang Wang. Furnace-grouping problem modeling and multi-objective optimization for special aluminum，IEEE Transactions on Emerging Topics in Computational Intelligence，2021. （中科院2区，IF=5.3）【IEEE JASC】Yuan Yao, Bin Xiao, Gang Yang, Yujiao Hu, Liang Wang, Xingshe Zhou. Power Control Identification: A Novel Sybil Attack Detection Scheme in VANETs using RSSI,  IEEE Journal on Selected Areas in Communications , 2019. (CCF A类，中科院1区，IF=13.081，计算机网络领域Top期刊，Google Cite 45)【IEEE TII】Liang Wang*, Zhiwen Yu, Dingqi Yang, Huadong Ma and Hao Sheng, Efficiently Targeted Billboard Advertising Using Crowdsensing Vehicle Trajectory Data. IEEE Transaction on Industrial Informations , PP(99):1-1, 2019，DOI: 10.1109/TII.2019.2891258. (中科院1区，JCR分区Q1，IF=11.648，Google Cite 58).【ACM TOSN】Liang Wang*, Zhiwen Yu, Dingqi Yang, Tao Ku, Bin Guo and Huadong Ma, Collaborative Mobile Crowdsensing in Opportunistic D2D Networks: A Graph-Based Approach, ACM Transactions on Sensor Networks, 2019.（CCF B类，IF=2.313，计算机网络领域Top期刊，Google Cite 30）【IEEE TMC】Liang Wang*, Zhiwen Yu, Qi Han, Bin Guo, Haoyi Xiong. Multi-objective Optimization based Allocation of Heterogeneous Spatial Crowdsourcing Tasks, IEEE Transactions on Mobile Computing, 2018, 17(7): 1637-1650. (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊，Google Cite 127).【IEEE TMC】Liang Wang*, Zhiwen Yu, Daqing Zhang, Bin Guo, Chi Liu, Heterogeneous Multi-Task Assignment in Mobile Crowdsensing Using Spatiotemporal Correlation, IEEE Transactions on Mobile Computing , DOI：10.1109/TMC.2018.2827375.  (CCF A类，JCR分区Q1，IF=6.075，计算机网络领域Top期刊，Google Cite 131).【ACM TKDD】Liang Wang*, Zhiwen Yu, Bin Guo, Tao Ku, Fei Yi. Moving Destination Prediction Using Sparse Dataset: A Mobility Gradient Descent Approach, ACM Transactions on Knowledge Discovery from Data, Vol. 11, No. 3, 2017. (CCF B类，IF=2.713，34 pages，数据库/数据挖掘领域Top期刊，Google Cite 56).【Elsevier KBS】Liang Wang*, Kunyuan Hu, Tao Ku, Xiaohui Yan, Mining Frequent Trajectory Pattern Based on Vague Space Partition, Knowledge-Based Systems, Volume 50, September 2013,pp.100-111.  (JCR分区Q1，中科院2区，IF=8.139，Google Cite 45).  【IEEE IOT-J】Bin Guo, Jing Du, Yan Liu, Liang Wang, Qi Han, Chao Chen, Zhiwen Yu，CrowDNet: Enabling a Crowdsourced Object Delivery Network based on Modern Portfolio Theory，IEEE Internet of Things Journal，2019（中科院1区，JCR分区Q1，IF=10.238）【Elsevier Neurocomputing】Xiaohui Yan*, Yunlong Zhu, Wenping Zou, Liang Wang. A new approach for data clustering using hybrid artificial bee colony algorithm. Neurocomputing, 2012, 97: 241-250.（中科院2区，IF=5.779, Google Cite 200） 【Springer FCS】Liang Wang*, Zhiwen Yu, Bin Guo, Fei Yi, Fei Xiong, Mobile Crowd Sensing Task Optimal Allocation: A Mobility Pattern Matching Perspective, Frontiers of Computer Science. Volume 12, Issue 2, April 2018, 231-244. (CCF B类，JCR分区Q3，IF=2.669, Google Cite 38).【IEEE WASA】Liang Wang, Xueqing Wang, Zhiwen Yu, Qi Han, Bin Guo. Complex Task Allocation in Spatial Crowdsourcing: A Task Graph Perspective, The 16th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2021, June 25-27, Nanjing,China. (Workshop) (CCF C类会议）【IEEE MASS】En Wang, Pengmin Dong, Yuanbo Xu, Dawei Li, Liang Wang, Yongjian Yang. Distributed Game-Theoretical Task Offloading for Mobile Edge Computing, 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS 2021) (CCF C类会议)【IEEE ICIF】Liang Wang*, Mei Wang, Tao Ku, Yong Cheng, Xinying Guo, A Hybrid Model Towards Moving Route Prediction Under Data Sparsity, IEEE The 20th International Conference on Information Fusion (ICIF 2017), Xi’an. （国际重要学术会议）【IEEE UIC] Liang Wang*, Congying Yang, Zhiwen Yu, Yimeng Liu, Zhu Wang, Bin Guo. CrackSense: A CrowdSourcing Based Urban Road Crack Detection System, The 16th IEEE International Conference on Ubiquitous Intelligence and Computing 2019, UIC 2019, (CCF C类会议)【IEEE UIC】Congying Yang, Zhiwen Yu, Yimeng Liu, Liang Wang, Bin Guo, Dynamic Allocation for Complex Mobile Crowdsourcing Task with Internal Dependencies, The 16th IEEE International Conference on Ubiquitous Intelligence and Computing 2019, UIC 2019, (CCF C类会议)【JDSN】Liang Wang*, Kunyuan Hu, Tao Ku, Junwei Wu, Urban Mobility Dynamics Based on Flexible Discrete Region Partition, International Journal of Distributed Sensor Networks, 2014, 2014(1):444-447. (JCR分区Q3，IF=1.938)【Chaos】Fei Xiong*, Yun Liu, Liang Wang, et al. Analysis and application of opinion model with multiple topic interactions. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2017, 27(8): 083113.（中科院2区，IF=3.741）【自动化学报】王亮*，胡琨元，库涛，吴俊伟，基于多尺度空间划分与路网建模的城市移动轨迹模式挖掘[J]. 自动化学报, 2015, 41(1):47-58.  (CCF-A类中文期刊，中文一级学报）.王亮，於志文*，郭斌，基于双层多粒度知识发现的移动轨迹预测模型[J]. 浙江大学学报（工学版）2017 Vol. 51 (4): 669-674. (EI）中国计算机学会第十二届全国普适计算学术会议（PCC 2016）推荐论文（唯一最佳论文奖）. 王亮*，胡琨元，库涛，吴俊伟，随机采样移动轨迹时空热点区域发现及模式挖掘，吉林大学学报(工学版)[J], 2015, 45(3):913-920  (EI）王亮，於志文*，郭斌，熊菲，基于移动社交网络的群智感知社群化任务分发[J]. 浙江大学学报（工学版）, 2018. 第十三届全国普适计算学术会议（PCC 2017）推荐论文（报告论文）王亮*，胡琨元，库涛，吴俊伟，位置不确定移动时空轨迹频繁模式挖掘[J]. 小型微型计算机系统, 2014, 35(12):2659-2663.Junwei Wu*, Yunlong Zhu, Tao Ku, Liang Wang. Detecting Road Intersections from Coarse-gained GPS Traces Based on Clustering. Journal of Computers, 2013, 8(11): 2959-2965. 【BigCom】Juanjuan Du, Jiaqi Liu, Zhiwen Yu and Liang Wang. Collaborative Task Allocation in Mobile Crowd Sensing, The 8th International Conference on Big Data Computing and Communications, Xiamen, China, August 6-7, 2022. （Best Paper Award！1/109） 【CCF PCC】李迎春，於志文，王亮，周聪，郝红升，基于共享单车数据的城市群体出行模式分析及可视化，中国计算机学会第十六届全国普适计算学术会议（PCC 2020）推荐论文（最佳学生论文奖）.