2016.10-2016.11    德国Fraunhofer研究院，访问教授

2015.07-2015.09    英国Brunel大学计算机学院，访问教授

2011.10-2012.10    美国Drexel大学信息学院，访问学者

2007.09-2010.01    南京理工大学计算机学院，博士后

1996年本科毕业于哈尔滨工业大学，2003年硕士毕业于哈尔滨工程大学，2006年博士毕业于东南大学计算机应用技术专业，获工学博士学位。

江苏省科技进步二等奖1项、三等奖2项，上海市科技进步三等奖1项，国家电力公司电力创新奖一等奖1项。

入选江苏省“333高层次人才培养工程”计划项目、江苏省“双创计划”人才项目、江苏省六大人才高峰高层次人才选拔计划、江苏省“青蓝工程”项目，南京“科技顶尖专家集聚计划”人才。

ACM会员、 IEEE-CS会员、 中国计算机学会高级会员、 中国中文信息学会语言与知识计算专业委员会委员、中国中医药信息研究会云健康分会副会长、中国中医药信息研究会人工智能分会理事、江苏省计算机学会计算机应用专委会常务副主任、 江苏省电子学会物联网专业委员会委员、江苏省大数据专家委员会委员、CCF南京监督委员会委员

主持国家自然科学基金3项（其中1项为重点项目），部委重大专项1项、预研项目2项、领域基金2项，科技委基础加强项目4项，江苏省973项目1项，江苏省自然科学基金1项，江苏省科技成果转化专项资金项目1项，其它省部级研究项目10项。

[1]Xiao-Li Wang, Anqi Huang, Yongli Wang, Guanzhou Ke, Xiaobin Hong, Jun Liu. Global-Semantic Alignment Distillation for Partial Multi-view Classification. Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Accepted. 2024.12.10(CCF A)

[2]Anqi Huang, Yongli Wang. Deep Multi-Agent Reinforcement Learning With Quantile Value Factorization. Pattern Recognition, Accepted, 2024. (SCI IF=7.6, CCF B, 1区)

[3]Yupeng Wang, Yongli Wang. Adversarial-Aware Feature Fusion for Enhanced Fine-Grained Visual Classification. Applied Soft Computing, Accepted, (SCI IF=8.7, 1区)

[4]Yupeng Wang, Yongli Wang. Graph-in-Graph Discriminative Feature Enhancement Network for Fine-grained Visual Classification. Applied Intelligence, 55, 22 (2025) (SCI IF=3.9, CCF C, 2区)

[5]Yupeng Wang, Yongli Wang. Multi-level Feature Fusion Networks for Smoke Recognition in Remote Sensing Imagery Engineering and Applications. Neural Networks, Accepted, (SCI IF=6, CCF B, 1区)

[6]Jianghui Sang, Yongli Wang. Xiaoliang Zou, Reward Shaping based on Optimal-Policy-Free. IEEE Transactions on Big Data, Accepted, (SCI IF=7.2, CCF C2区)

[7]Xiaoli Wang, Yongli Wang. Knowledge Distillation-Driven Multi-view Semi-supervised Classification. Information Fusion, 103: 102098 (2024) (SCI IF=18.6, 1区) 2024 March 1 WOS:001112352000001 ISSN 1566-2535

[8]Xiaoli Wang, Yongli Wang. Trusted semi-supervised multi-view classification with contrastive learning. IEEE Transactions on Multimedia, 2024, 26, 8268-8278 (SCI IF=7.3, CCF B, 1区) WOS:001283692500007

[9]Anqi Huang, Yongli Wang. DVF: Multi-Agent Q-Learning With Factorization. Knowledge-Based System, 286, 111422 (2024) (SCI IF=7.2, CCF C, 1区) WOS:001174754100001

[10]Anqi Huang, Yongli Wang. Optimistic Sequential Multi-Agent Reinforcement Learning With Motivational Communication. Neural Networks, 179, 106547, 2024, (SCI IF=6, CCF B, 1区) WOS:001283681800001

[11]Yupeng Wang, Yongli Wang. Can Xu, Xiaoli Wang, Yong Zhang. Computer vision?driven forest wildfire and smoke recognition via IoT drone cameras. Wireless Networks，10 April 2024, (SCI IF=3.0, CCF C) WOS:001200343000001

[12]Haochen Zou, Yongli Wang. A novel automated framework for fine-grained sentiment analysis of application reviews using deep neural networks. Automated Software Engineering, 2024,31(2): (SCI IF=3.4, CCF B, 2区)  WOS:001227049000001

[13]Haochen Zou, Yongli Wang. Understanding Sentiment Polarities and Emotion Categories of People on Public Incidents With the Relation to Government Policies. IEEE Transactions on Computational Social Systems, 2024, 11(6):7584-7594 (SCI IF=5.2, 2区, CCF C) WOS:001249225000001

[14]Haochen Zou, Yongli Wang. A Novel Knowledge Enhanced Large Language Model Augmented Framework for Medical Question Answering. IEEE BIBM 2024(CCF B)

[15]Gechen Jia, Yongli Wang and Dongmei Liu. Multimodal Recommendation Algorithm Enhanced by User Isomorphic Graph. 31st International Conference on Neural Information Processing (ICONIP2024), December 2-6, 2024,·Auckland, New Zealand (CCF C)

[16]Jiamin Chen, Yongli Wang and Dongmei Liu. HierFormer: A Multi-scale Attention Model for Ship Trajectory Prediction. 31st International Conference on Neural Information Processing (ICONIP2024), December 2-6, 2024,·Auckland, New Zealand (CCF C)

[17]Jianghui Sang, Yongli Wang, Weiping Ding, Zaki Ahmad khan, Lin Xu. Reward Shaping with Hierarchical Graph Topology. Pattern Recognition, 2023: 109746. (SCI IF=8.4, CCF B, 1区) WOS:001032541000001

[18]Jianghui Sang, Yongli Wang. Graph Convolution with Topology Refinement for Automatic Reinforcement Learning. Neurocomputing, 2023, 554: 126621. (SCI IF=6, CCF C, 2区,) WOS:001054033000001

[19]Lingyue Su, Yongli Wang. High-knowledge shilling attack detection method based on genetic co-forest. the 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-2023), 1-3 November 2023, Exeter, UK, CCF C

[20]Ahmed Raja Sohail, Yongli Wang. Trilinear Pairing-Based Cryptosystem Authentication: For Electronic Health Record Security in Healthcare System. International Journal of Information and Computer Security, 2024, 23(2):139-162 (SCI IF=1.4, CCF C)

[21] Xiaoli Wang, Liyong Fu, Yudong Zhang, Yongli Wang, Zechao Li. MMatch: Semi-Supervised Discriminative Representation Learning for Multi-View Classification. IEEE Trans. Circuits Syst. Video Technol. 2022, 32(9): 6425-6436 (SCI IF=8.4, CCF B, 1区) WOS:000849300000057

[22]Jianghui Sang, Yongli Wang, Long Yuan, Hao Li, Xiaohui Jiang. Multi-label transfer learning via latent graph alignment. World Wide Web 2022, 25(2): 879-898, (SCI IF=2.716, CCF B, 3区) WOS:000715009900001

[23]Zhou Shao, Ruoyan Zhao, Sha Yuan, Ming Ding, Yongli Wang. Tracing the evolution of AI in the past decade and forecasting the emerging trends. Expert Syst. Appl. 2022, 209: 118221 , (SCI IF=8.5, CCF C, 1区) WOS:000856776000006

[24]Zhou Shao, Sha Yuan, Jing Xu, Yongli Wang. A statistical feature data mining framework for constructing scholars' career trajectories in academic data. Appl. Soft Computing. 118: 108550 (2022)

[25]Ruxin Zhao, Yongli Wang, Gang Xiao, Chang Liu, Peng Hu, Hao Li. A method of path planning for unmanned aerial vehicle based on the hybrid of selfish herd optimizer and particle swarm optimizer. Appl. Intell. 52(14): 16775-16798 (2022)

[26] Hamed Jelodar, Yongli Wang, Gang Xiao, Mahdi Rabbani, Ruxin Zhao, Seyedvalyallah Ayobi, Peng Hu, Isma Masood. Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences. Soft Computing, 2021, 25(5): 3675–3696, (SCI IF=3.643, CCF C) UT WOS:000585043300001

[27]Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Sajjad Bagheri Baba Ahmadi, Lynda Boukela, Ruxin Zhao, Raja Sohail Ahmed Larik. A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments. Multimedia Tools and Applications, 2021, 80(3):4155-4181 (SCI IF=2.757, CCF C, 3区)

[28]Hao Li, Yongli Wang, Yanchao Li, Gang Xiao, Peng Hu, Ruxin Zhao. Batch Mode Active Learning with Adaptive Criteria Weights. Applied Intelligence, 2021, 51(6):3475-3489. (SCI IF=2.882, CCF C, 3区) UT WOS:000589460600002

[29]Hao Li, Yongli Wang, Yanchao Li, Gang Xiao, Peng Hu, Ruxin Zhao, Bo Li. Learning Adaptive Criteria Weights for Active Semi-Supervised Learning. Information Sciences, 2021, 561, 286-303, (SCI IF= 5.91, CCF B, 1区) UT WOS:000644023200019

[30]Peng Hu, Yongli Wang, Ahmadreza Vajdi, Bei Gong, and Yongjian Wang. Secure Multi-Subinterval Data Aggregation Scheme with Interval Privacy Preservation for Vehicle Sensing Systems. Journal of Circuits, Systems, and Computers. 2021, Vol 30, Issue 16, p1 (SCI IF= 1.363, 4区)

[31]Zhou Shao, Sha Yuan, Yongli Wang. Adaptive Online Learning for IoT Botnet Detection.  Information Sciences, 2021, 574, 84-95, (SCI IF=5.91, CCF B, 1区) UT WOS:000691628700006

[32] Ruxin Zhao, Yongli Wang, Gang Xiao, Chang Liu, Peng Hu, Hao Li. A selfish herd optimization algorithm based on the simplex method for clustering analysis. Journal of Supercomputing, (2021)77, 8840–8910, (SCI IF=2.469, CCF C) UT WOS:000612952500001

[33] Indr Eluubek kyzy, Huaming Song, AhmadrezaVajdi, Yongli Wang, Junlong Zhou. Blockchain for consortium: A practical paradigm in agricultural supply chain system. Expert Systems with Applications, 2021, 184, 115425 (SCI IF=6.954, CCF C, 2区)

[34] Mahdi Rabbani, YongLi Wang, Reza Khoshkangini, Hamed Jelodar, Ruxin Zhao, Sajjad Bagheri Baba Ahmadi, Seyedvalyallah Ayobi. A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies. Entropy, 2021, 23(529): 1-41 (SCI IF=2.494).

[35] Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Gang Xiao, Ruxin Zhao. A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums. Journal of Medical Systems, 2020, 44: 101 (SCI IF= 3.058)

[36] Hamed Jelodar, Yongli Wang, Ahamdreza Vajdi, Mahdi Rabbani, Ruxin Zhao, Lynda Boukela and Hao Li. A Hybrid Fuzzy System via Topic Model for Recommending Highlight Topics of CQA in Developer Communities. Journal of Circuits, Systems and Computers, 2020, Vol. 29, No. 15, 2050248 (SCI IF=1.333).

[37] Yuan Chi, Yongli Wang, Ning Shang, Ziran Li, Ruxin Zhao, Chunhua Weng. A graph-based method for reconstructing entities from coordination ellipsis in medical text. Journal of the American Medical Informatics Association, 2020, 27(9): 1364-1373.（SCI IF=4.292, CCF B）

[38] Peng Hu, Yongli Wang, Quanbing Li, Yongjian Wang, Yanchao Li, Ruxin Zhao, Hao Li. Efficient Location Privacy-Preserving Range Query Scheme for Vehicle Sensing Systems. Journal of Systems Architecture, 2020, 106: 101714. (SCI IF=2.552, CCF B)

[39] Peng Hu, Yongli Wang, Gang Xiao, Junlong Zhou, Bei Gong, Yongjian Wang. An Efficient Privacy-Preserving Data Query and Dissemination Scheme in Vehicular Cloud. Pervasive and Mobile Computing, 2020, 65: 101152. (SCI IF= 2.725, CCF C)

[40] Peng Hu, Yongli Wang, Bei Gong, Yongjian Wang, Yanchao Li, Ruxin Zhao, Hao Li, Bo Li. A Secure and Lightweight Privacy-Preserving Data Aggregation Scheme for Internet of Vehicles. Peer-to-Peer Networking and Applications, 2020, 13(3):1002-1013 (SCI IF=2.793, CCF C)

[41] Ruxin Zhao, Yongli Wang. Selfish herd optimization algorithm based on chaotic strategy for adaptive IIR system identification problem. Soft Computing,  2020, 24:7637-7684. (SCI IF=2.784, CCF C)

[42] Ruxin Zhao, Yongli Wang, Chang Liu, Peng Hu, Hamed Jelodar, Mahdi Rabbani, Hao Li. Discrete selfish herd optimizer for solving graph coloring problem. Applied Intelligence, 2020, 50:1633–1656. (SCI IF= 3.3325, CCF C)

[43] Ruxin Zhao, Yongli Wang. Selfish herd optimizer with levy-flight distribution strategy for global optimization problem. Physica A: Statistical Mechanics and its Applications, 2020, 538:122687. SCI IF=2.5

[44] 曹娜, 王永利, 孙建红, 赵宁, 宫小泽. 基于字典学习和联合动态稀疏表示的SAR图像目标识别. 自动化学报, 2020, 46(12): 2638-2646

[45] Hamed Jelodar, Yongli Wang, Chi Yuan, Xia Feng, Xiahui Jiang, Yanchao Li, Liang Zhao. Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey. Multimedia tools and applications. 2019, 78(11):15169–15211. (SCI IF=2.757, CCF C) citations:362

[46] Ruxin Zhao, Yongli Wang, Peng Hu, Hamed jelodar, Chi Yuan, Yanchao Li, Isma Masood, Mahdi Rabbani. Selfish herds optimization algorithm with orthogonal design and information update for training multi-layer perceptron neural network. Applied Intelligence, 2019, 49:2339–2381 (SCI IF= 3.3325, CCF C)

[47] Hao Li, Yongli Wang, Yanchao Li, Peng Hu, Ruxing Zhao. Joint Local Structure Preservation and Redundancy Minimization for Unsupervised Feature Selection. Applied Intelligence, 2020, 50(12):4394-4411. (SCI IF=2.882, CCF C)

[48] Mandi Rabbani, Yongliwang. A Hybrid Machine Learning Approach for Malicious Behaviour Detection and Recognition in Cloud Computing. Journal of Network and Computer Applications, 2020, 151(1):1-13, 102507 (SCI IF=5.273, CCF C)

[49] Zhou Shao, Zhenting Shen , Sha Yuan, Jie Tang, Yongli Wang , Lili Wu, Wenjiang Zheng. 2020. AI 2000: A Decade of Artificial Intelligence. In 12th ACM Conference on Web Science (WebSci ’20), July 6–10, 2020, Southampton, United Kingdom. ACM, New York, NY, USA, 10 pages.

[50] Sha Yuan, Zhou Shao, Xingxing Wei, Jie Tang, Wendy Hall, Yongli Wang, Ying Wang, Ye Wang. Science behind AI: the evolution of trend, mobility, and collaboration. Scientometrics, 2020, 124(2): 993-1013, SCI IF=2.867

[51] Shawgi M. A. Mohamed1, Yongli Wang. A survey on novel classification of deduplication storage systems. Distributed and Parallel Databases, 2020, 39(1):201-230 (SCI IF=0.757)

[52] Yanchao Li, Yongli Wang, Dong-Jun Yu, Ning Ye, Peng Hu and Ruxin Zhao. ASCENT: Active Supervision for Semi-supervised Learning. IEEE Transactions on Knowledge and Data Engineering, 2020,32(5): 868-882, (SCI IF= 3.857, CCF A)

[53] Yanchao Li, Yongli Wang, Qi Liu, Cheng Bi, Xiaohui Jiang, Shurong Sun. Incremental Semi-Supervised Learning on Streaming Data. Pattern Recognition. (CCF B, SCI IF=4.582) , 2019(88): 383-396

[54] Zhou Shao, Jie Tang, Yutao Zhang, Bo Gao and Yongli Wang. Scholar Trajectory: Visualizing the Migration of Talents. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD’18). 19-23, AUGUST, 2018, London, United Kingdom. CCF A

[55] Yanchao Li, Yongli Wang, Junlong Zhou, Xiaohui Jiang. Robust Transductive Support Vector Machine for Multi-View Classification. Journal of Circuits, Systems, and Computers, 2018, 27(12):1-12. (SCI IF=0.481)

[56] Yanchao Li, Yongli Wang, Cheng Bi, Xiaohui Jiang. Revisiting Transductive Support Vector Machines with Margin Distribution Embedding. Knowledge-Based System, 2018(152):200-214 (SCI IF=4.627, CCF C)

[57] Isma Masood, Yongli Wang, Ali Daud, Naif Radi Aljohanib. Privacy Management of Patient Physiological Parameters. Telematics and Informatics, 2018, 35(4):677-701 (JCR SSCI Rank 1, IF=3.798)

[58] Isma Masood, Yongli Wang, Ali Daud, Naif Radi Aljohani and Hassan Dawood.  Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure. Wireless Communications and Mobile Computing. 2018(2):1-23 (SCI IF=1.899, CCF C)

[59] Xiaohui Jiang, Peng Hu, Yanchao Li, Chi Yuan, Isma Masood, Hamed Jelodar, Mahdi Rabbani, Yongli Wang. A Survey of Real-time Approximate Nearest Neighbor Query over Streaming Data for Fog Computing. Journal of Parallel and Distributed Computing, 2018,116,50-62. (CCF B, SCI IF=1.976)

[60] 赵亮, 王永利, 杜仲舒, 陈广生. HL-DAQ：一种Hash学习的动态自适应量化编码[J]. 计算机研究与发展, 2018, 55(6): 1294-1307.

[1] 王永利, 时真旺, 徐佳, 彭甫镕: 传感器数据流复杂查询结果的数据起源跟踪方法，授权发明专利（200910264155.5），授权日：2013.12.03

[2] 王永利, 孙淑荣, 富春岩, 刘冬梅, 陶翔, 罗庆平: 电力安全感知平台及其事件发生起源路径追溯算法. 授权发明专利（201110314090.8）， 授权日：2014.09.03

[3] 王永利, 孙淑荣, 张功萱, 刘冬梅, 等: 一种闭环的智能麻醉控制系统，授权发明专利（201210591264.X），授权日：2015.10.27（已转让）

[4] 王永利等，基于互联网信息的重要船只目标动态监测方法，授权发明专利（201710507675.9），授权日：2021.02.12

[5] 袁欢欢，王永利等，基于维数约简的GNSS/SINS深组合导航系统, 授权发明专利（201710409932.5），授权日：2020.11.06

[6] 王永利等，智能网络控制系统及方法, 授权发明专利（201811494176.1），授权日：2021.01.15

[7] 曹娜，王永利等，智能道岔辅助设计系统, 授权发明专利（201710601677.4），授权日：2021.01.26

海量数据分析（博士生）

可证明安全算法与协议（博士生）

已毕业6名博士研究生及40多名硕士研究生。毕业研究生主要去向：阿里、华为、百度、华泰证券、哔哩哔哩、字节跳动等公司及大学和研究所。