Dr. Hao received the B.Sc. degree in Information and Computing Science and the M.Sc. degree in Computer Software and Theory from Xihua University, China, in 2005 and 2008, respectively, and the Ph.D. degree in Computer Science and Engineering from Soonchunhyang University, South Korea, in 2016. Since 2016, he has been with Shaanxi Normal University, Xi'an, China, where he is an Associate Professor. From 2020 to 2022, he was a Marie Curie Fellow with the University of Exeter, Exeter, United Kingdom.

His research interests include social computing, soft computing, big data analytics, pervasive computing, and data mining. Dr. Hao holds a world-class research track record of publication in the top international journals and the prestigious conferences. He has published more than 150 papers in the leading international journals and conference proceedings, such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Services Computing, IEEE Transactions on Network Science and Engineering, IEEE Communications Magazine, IEEE Internet Computing, ACM Transactions on Multimedia Computing, Communications and Applications as well as SIGIR, GlobeCom. In addition, he was the recipient of six Best Paper Awards from CSA 2020, CUTE 2016, UCAWSN 2015, MUE 2015, IEEE GreenCom 2013 and KISM 2012 conferences, respectively. He was also the recipient of the Outstanding Service Award at FutureTech 2019, DSS 2018, and SmartData 2017, the IEEE Outstanding Leadership Award at IEEE CPSCom 2013 and the 2015 Chinese Government Award for Outstanding Self-Financed Students Abroad. Since 2017, he has joined JIPS (Journal of Information Processing Systems) editorial board, where he is currently an associate editor. He is also a member of ACM, CCF and KIPS.

I am looking for motivated students with solid background in mathematics and programming. If you are interested in doing research with me, please feel free to contact me via email.

News

• [11/08/2024] Our paper was accepted by IEEE Transactions on Computational Social Systems.
• [11/09/2023] Our paper was accepted by IEEE Transactions on Emerging Topics in Computing.
• [29/08/2023] Our paper was accepted by IEEE Transactions on Services Computing.
• [24/07/2023] Our paper was accepted by Data and Knowledge Engineering.
• [14/06/2023] Our paper was accepted by Future Generation Computer Systems.
• [19/03/2023] Our paper was accepted by Computer Communications.
• [17/03/2023] Our paper was accepted by Interactive Learning Environments.
• [09/02/2023] Our paper was accepted by IEEE Transactions on Computational Social Systems.
• [23/01/2023] Our paper was accepted by IEEE Transactions on Sustainable Computing.
• [13/11/2022] Our paper was accepted by Soft Computing.
• [01/10/2022] Our paper was accepted by Pattern Recognition Letters.
• [25/04/2022] Our paper was accepted by IEEE Transactions on Industrial Informatics.
• [20/04/2022] Our paper was accepted by IEEE Transactions on Industrial Informatics.
• [01/03/2022] Our paper was accepted by Information Sciences.
• [23/01/2022] Our paper was accepted by DASFAA 2022.
• [16/12/2021] Our paper was accepted by ACM SAC 2022.
• [17/11/2021] Our paper was accepted by Human-centric Computing and Information Sciences.
• [30/08/2021] Our paper was accepted by Neurocomputing.
• [22/08/2021] Our paper was accepted by IEEE Transactions on Network Science and Engineering.
• [23/07/2021] Our paper was accepted by IEEE Transactions on Computational Social Systems.
• [07/07/2021] Our paper was accepted by Information Sciences.
• [14/06/2021] Our paper was accepted by IEEE Transactions on Services Computing.
• [07/06/2021] Our paper was accepted by Pattern Recognition Letters.
• [23/05/2021] My Monograph "Social Network Analysis: Soft Computing Approach and Its Applications" has been released by Science Press, China.
• [15/04/2021] Our paper was accepted by ACM SIGIR 2021 Conference.
• [14/03/2021] Our paper was accepted by IEEE Transactions on Network Science and Engineering.
• [28/12/2020] Our paper was accepted by IEEE Systems Journal.
• [30/11/2020] Our paper was accepted by Applied Sciences.
• [01/09/2020] Welcome two M.S. students joining our group.
• [21/08/2020] Our paper was accepted by IEEE SMC 2020.
• [08/07/2020] Our paper was accepted by Applied Soft Computing.
• [22/06/2020] Our paper was accepted by Soft Computing.
• [16/06/2020] Our paper was accepted by IEEE Transactions on Cognitive Communications and Networking.
• [06/06/2020] Our paper was accepted by IEEE ICKG 2020.
• [01/06/2020] CFP: The 13th IEEE International Symposium on Social Computing and Networking (SocialCom 2020)
• [13/01/2020] Our paper was accepted by IEEE Access.
• [30/11/2019] Our paper was accepted by Future Generation Computer Systems.

Selected PublicationsFull List in Google Scholar »

Names of my students are underlined.

Journal and Magazine

1. "Fairness-aware Maximal Cliques Identification in Attributed Social Networks with Concept-cognitive Learning"
   Min Tao, Fei Hao*, Ling Wei, Huilai Zhi, Sergei O. Kuznetsov, Geyong Min
   IEEE Transactions on Computational Social Systems., In Press.
2. "Formal Modeling and Analysis of User Activity Sequence in Online Social Networks: A Stochastic Petri Net Based Approach"
   Wangyang Yu, Jinming Kong, Fei Hao*, Jian Li, Yuan Liu
   IEEE Transactions on Computational Social Systems., In Press.
3. "Concept Stability Entropy: A Novel Group Cohesion Measure in Social Networks"
   Fei Hao*, Jie Gao, Yaguang Lin, Yulei Wu, Jiaxing Shang
   IEEE Transactions on Emerging Topics in Computing., In Press.
4. "Predicting Dropouts Before Enrollments in MOOCs: An Explainable and Self-supervised Model"
   Jin Li, Shu Li, Yuan Zhao, Longjiang Guo, Fei Hao*, Meirui Ren, Keqin Li
   IEEE Transactions on Services Computing., In Press.
5. "Type Diversity Maximization Aware Coursewares Crowdcollection in MOOCs"
   Longjiang Guo, Yuxin Jin, Guowei Liu, Fei Hao*, Meirui Ren, Vincenzo Loia
   Information Sciences., Vol.649:119663, 2023.
6. "BT-CKBQA: An efficient approach for Chinese knowledge base question answering"
   Erhe Yang, Fei Hao*, Jiaxing Shang, Xiaoliang Chen, Doo-Soon Park
   Data and Knowledge Engineering., In Press.
7. "Dependent Tasks Offloading in Mobile Edge Computing: A Multi-objective Evolutionary Optimization Strategy"
   Yanqi Gong, Kun Bian, Fei Hao*, Yifei Sun, Yulei Wu
   Future Generation Computer Systems., In Press.
8. "Edu-Metaverse: Concept, Architecture, and Applications"
   Ting Wu, Fei Hao*
   Interactive Learning Environments., In Press.
9. "Dual-LightGCN: Dual Light Graph Convolutional Network for Discriminative Recommendation"
   Wenqing Huang, Fei Hao*, Jiaxing Shang, Wangyang Yu, Shengke Zeng, Carmen Bisogni, Vincenzo Loia
   Computer Communications., Vol.204, pp.89-100, 2023.
10. "AFCMiner: Finding Absolute Fair Cliques from Attributed Social Networks for Responsible Computational Social Systems"
    Fei Hao, Yixuan Yang, Jiaxing Shang, Doo-Soon Park
    IEEE Transactions on Computational Social Systems., In Press.
11. "A Socially-aware Dependent Tasks Offloading Strategy in Mobile Edge Computing"
    Yanqi Gong, Fei Hao*, Liang Wang, Liang Zhao, Geyong Min
    IEEE Transactions on Sustainable Computing., In Press.
12. "Exploring Invariance of Concept Stability for Attribute Reduction in Three-way Concept Lattice"
    Fei Hao*, Jie Gao, Carmen Bisogni, Vincenzo Loia, Zheng Pei, Aziz Nasridinov
    Soft Computing., In Press.
13. "Knowledge Points Navigation based on Three-way Concept Lattice for Autonomous Learning"
    Fei Hao*, Yanqi Gong, Wangyang Yu, Vincenzo Loia
    Pattern Recognition Letters., Vol.163, No.11, pp.96-103, 2022.
14. "Drowsiness Detection in the Era of Industry 4.0: Are We Ready?"
    Carmen Bisogni, Fei Hao*, Vincenzo Loia, Fabio Narducci
    IEEE Transactions on Industrial Informatics., In Press.
15. "An Efficient Approach to Sharing Edge Knowledge in 5G-enabled Industrial Internet of Things"
    Yaguang Lin, Xiaoming Wang, Hongguang Ma, Liang Wang, Fei Hao, Zhipeng Cai
    IEEE Transactions on Industrial Informatics., In Press.
16. "Supervisory control of discrete event systems using asynchronous spiking neuron P systems"
    Xiaoliang Chen, Hong Peng, Jun Wang, Fei Hao
    Information Sciences., Vol.597, pp.253-273, 2022.
17. "Modelling Prevention and Control Strategies for COVID-19 Propagation with Patient Contact Networks"
    Yixuan Yang, Fei Hao*, Doo-Soon Park, Sony Peng, Hyejung Lee, Makara Mao
    Human-centric Computing and Information Sciences., 11:45, 2021.
18. "Optimization of Dominance Testing in Skyline Queries Using Decision Trees"
    Jong-Hyeok Choi, Fei Hao, Yoo-Sung Kim, Aziz Nasridinov
    IEEE Access., Vol.9, pp.130170-130184, 2021.
19. "Rough Maximal Cliques Enumeration in Incomplete Graphs Based on Partially-known Concept Learning"
    Fei Hao*, Yifei Sun, Yaguang Lin
    Neurocomputing., Vol.496, pp.96–106, 2022.
20. "Learning Concept Interestingness for Identifying Key Structures from Social Networks"
    Jie Gao, Fei Hao*, Zheng Pei, Geyong Min
    IEEE Transactions on Network Science and Engineering., Vol.8, No.4, pp.3220-3232, 2021.
21. "Incremental Construction of Three-way Concept Lattice for Knowledge Discovery in Social Networks"
    Fei Hao*, Yixuan Yang, Geyong Min, Vincenzo Loia
    Information Sciences., Vol.578, pp.257-280, 2021.
22. "Skyline (λ, k)-cliques Identification from Fuzzy Attributed Social Networks"
    Fei Hao*, Jie Gao, Jianrui Chen, Aziz Nasridinov, Geyong Min
    IEEE Transactions on Computational Social Systems., In Press.
23. "Incremental Entity Summarization with Formal Concept Analysis"
    Erhe Yang, Fei Hao*, Yixuan Yang, Carmen De Maio, Aziz Nasridinov, Geyong Min, Laurence T. Yang
    IEEE Transactions on Services Computing., In Press.
24. "Dynamic Maximal Cliques Detection and Evolution Management in Social Internet of Things: A Formal Concept Analysis Approach"
    Yixuan Yang, Fei Hao*, Beibei Pang, Geyong Min, Yulei Wu
    IEEE Transactions on Network Science and Engineering., Vol.9, No.3, pp.1020-1032, 2021.
25. "Stability of Three-way Concepts and Its Application to Natural Language Generation"
    Fei Hao*, Jie Gao, Carmen Bisogni, Geyong Min, Vincenzo Loia, Carmen De Maio
    Pattern Recognition Letters., Vol.149, pp.51-58, 2021.
26. "CoNavigator: A Framework of FCA-based Novel Coronavirus COVID-19 Domain Knowledge Navigation"
    Fei Hao, Doo-Soon Park
    Human-centric Computing and Information Sciences., 11:06, 2021.
27. "Multi-Round Incentive Mechanism for Cold Start-Enabled Mobile Crowdsensing"
    Yaguang Lin, Zhipeng Cai, Xiaoming Wang, Fei Hao, Liang Wang, Akshita Maradapu Vera Venkata Sai
    IEEE Transactions on Vehicular Technology., Vol.70, No.1, pp.993-1007, 2021.
28. "Deniable-based Privacy-preserving Authentication against Location Leakage in Edge Computing"
    Shengke Zeng, Hongjie Zhang, Fei Hao*, Hongwei Li
    IEEE Systems Journal, Vol.16, No.2, pp.1729-1738, 2022.
29. "Typical Opinions Mining based on Douban Film Comments in Animated Movies"
    Ting Wu, Fei Hao, Minjin Kim
    Entertainment Computing, Vol.36, No.2021, pp.100391, 2021.
30. "An Efficient Feedback Control Mechanism for Positive/Negative Information Spread in Online Social Networks"
    Xiaoming Wang, Xinyan Wang, Geyong Min, Fei Hao, C. L. Philip Chen
    IEEE Transactions on Cybernetics, (In Press).
31. "Dynamic Control of Fraud Information Spreading in Mobile Social Networks"
    Yaguang Lin, Xiaoming Wang, Fei Hao, Yichuang Jiang, Yulei Wu, Geyong Min, Daojing He, Senchu Zhu, Wei Zhao
    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol.51, No.6, pp.3725-3738, 2021.
32. "On the Computation of Concept Stability Based on Maximal Non-generator for Social Networking Services"
    Jie Gao, Fei Hao*, Doo-Soon Park
    Applied Sciences, Vol.10, No.23, pp.8618, 2020.
33. "When Artificial Intelligence Meets Building Energy Efficiency, a Review Focusing on Zero Energy Building"
    Biao Yan, Fei Hao, Xi Meng
    Artificial Intelligence Review, Vol.54, No.3, pp.2193-2220, 2021.
34. "Efficient Point-of-Interest Recommendation with Hierarchical Attention Mechanism"
    Guangyao Pang, Xiaoming Wang, Fei Hao, Liang Wang, Xinyan Wang
    Applied Soft Computing, Vol.96, No.106536, pp.1-13, 2020.
35. "Balancing Energy Consumption and Reputation Gain of UAV Scheduling in Mobile Edge Computing"
    Juan Zhang, Yulei Wu, Geyong Min, Fei Hao, Laizhong Cui
    IEEE Transactions on Cognitive Communications and Networking, Vol.6, No.4, pp.1204-1217, 2020.
36. "Diversified Top-k Maximal Clique Detection in Social Internet of Things"
    Fei Hao, Zheng Pei, Laurence T. Yang
    Future Generation Computer Systems, Vol.107, pp.408-417, 2020.
37. "Urban Area Function Zoning Based on User Relationships in Location-based Social Networks"
    Fei Hao, Junzhe Zhang, Zongtao Duan, Liang Zhao, Lantian Guo, Doo-Soon Park
    IEEE Access, Vol.8, No.1, pp.23487-23495, 2020.
38. "Virtual Machines Scheduling in Mobile Edge Computing: A Formal Concept Analysis Approach"
    Fei Hao, Guangyao Pang, Zheng Pei, Keyun Qin, Yu Zhang, Xiaoming Wang
    IEEE Transactions on Sustainable Computing, Vol.5, No.3, pp.319-328, 2020.
39. "Efficient Coupling Diffusion of Positive and Negative Information in Online Social Networks"
    Xinyan Wang, Xiaoming Wang, Fei Hao, Geyong Min, Liang Wang
    IEEE Transactions on Network and Service Management, Vol.16, No.3, 1226-1239, 2019.
40. "Incentive Mechanisms for Crowdblocking Rumors in Mobile Social Networks"
    Yaguang Lin, Zhipeng Cai, Xiaoming Wang, Fei Hao
    IEEE Transactions on Vehicular Technology, Vol.68, No.9, pp.9220-9232, 2019.
41. "ACNN-FM: A Novel Recommender with Attention-based Convolutional Neural Network and Factorization Machines"
    Guangyao Pang, Xiaoming Wang, Fei Hao, Jiehang Xie, Xinyan Wang, Yaguang Lin, Xueyang Qin
    Knowledge-Based Systems, Vol. 181, pp.104786, 2019.
42. "Providing Appropriate Social Support to Prevention of Depression for High-anxious Sufferers"
    Fei Hao, Guangyao Pang, Yulei Wu, Zhongling Pi, Lirong Xia, Geyong Min
    IEEE Transactions on Computational Social Systems, Vol.6, No.5, pp.879-887, 2019.
43. "2L-MC3: A Two-Layer Multi-Community-Cloud/Cloudlet Social Collaborative Paradigm for Mobile Edge Computing"
    Fei Hao, Doo-Soon Park, Jungho Kang, Geyong Min
    IEEE Internet of Things Journal,Vol.6, No.3, pp.4764-4773, 2019.
44. "A Holistic Approach to Distributed Dimensionality Reduction of Big Data"
    Liwei Kuang, Jinjun Chen, Fei Hao, Changqing Luo, and Laurence T. Yang
    IEEE Transactions on Cloud Computing, Vol.6, No.2, pp.506-518, 2018.
45. "k-clique Communities Detection in Social Networks based on Formal Concept Analysis"
    Fei Hao, Geyong Min, Zheng Pei, Doo-Soon Park, Laurence T. Yang
    IEEE Systems Journal, Vol.11, No.1, pp.250-259, 2017.
46. "Iceberg Clique Queries in Large Graphs"
    Fei Hao, Zheng Pei, Doo-Soon Park, Laurence T. Yang, Young-Sik Jeong, Jong-Hyuk Park
    Neurocomputing, Vol.256, pp.101-110, 2017.
47. "k-cliques Mining in Dynamic Social Networks based on Triadic Formal Concept Analysis"
    Fei Hao, Doo-Soon Park, Geyong Min, Young-Sik Jeong, Jong-Hyuk Park
    Neurocomputing, Vol.209, pp.57- 66, 2016.
48. "An Efficient Approach to Generating Location-Sensitive Recommendations in Ad-hoc Social Network Environments"
    Fei Hao, Shuai Li, Geyong Min, Hee-Cheol Kim, Stephen S. Yau, Laurence T. Yang
    IEEE Transactions on Services Computing, Vol.8, No.3, pp.520-533, 2015.
49. "Launching an Efficient Participatory Sensing Campaign: A Smart Mobile Device-based Approach"
    Fei Hao, Mingjie Jiao, Geyong Min, Laurence T. Yang
    ACM Transactions on Multimedia Computing, Communications and Applications, Vol.12, No.1s, pp.18:1-18:22, 2015.
50. "A Tensor-based Approach for Big Data Representation and Dimensionality Reduction"
    Liwei Kuang, Fei Hao, Laurence T. Yang, Man Lin, Changqing Luo, Geyong Min
    IEEE Transactions on Emerging Topics in Computing, Vol.2, No.3, pp.280-291, 2014.
51. "An Optimized Computational Model for Multi-Community-Cloud Social Collaborative Computing"
    Fei Hao, Geyong Min, Jinjun Chen, Fei Wang, Man Lin, Changqing Luo, Laurence T. Yang
    IEEE Transactions on Services Computing, Vol.7, No.3, pp.346-358, 2014.
52. "Detecting k-balanced Trusted Cliques in Signed Social Networks"
    Fei Hao, Stephen S. Yau, Geyong Min, Laurence T. Yang
    IEEE Internet Computing, Vol.18, No.2, pp.24-31, 2014.
53. "MobiFuzzyTrust: An Efficient Fuzzy Trust Inference Mechanism in Mobile Social Networks"
    Fei Hao, Geyong Min, Man Lin, Changqing Luo, Laurence T. Yang
    IEEE Transactions on Parallel and Distributed Systems, Vol.25, No.11, pp.2944-2955, 2014.
54. "A Trajectory-based Recruitment Strategy of Social Sensors for Participatory Sensing"
    Fei Hao, Mingjie Jiao, Geyong Min, and Laurence T. Yang
    IEEE Communications Magazine, Vol.52, No.12, pp.41-47, 2014.

Conference Proceedings

1. "CollaborateCas: Popularity Prediction of Information Cascades based on Collaborative Graph Attention Networks"
   Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, and Fei Hao
   Proceedings of The 27th International Conference on Database Systems for Advanced Applications (DASFAA), 2022
2. "Query-oriented Entity Spatial-temporal Summarization in Fuzzy Knowledge Graph"
   Erhe Yang, Fei Hao*, Aziz Nasridinov, Geyong Min and Doo-Soon Park
   Proceedings of The 37th ACM/SIGAPP Symposium On Applied Computing (SAC), 2022
3. "Maximal Multipolarized Cliques Search in Signed Networks"
   Jie Gao, Fei Hao*, Geyong Min and Zhipeng Cai
   Proceedings of The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
4. "Complementary Context-Enhanced Concept Lattice Aware Personalized Recommendation"
   Wenqing Huang, Fei Hao*, Guangyao Pang and Yifei Sun
   Proceedings of The 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021
5. "Fine-Grained Context-aware Ad Targeting on Social Media Platforms"
   Carmen De Maio, Mariacristina Gallo, Fei Hao, Vincenzo Loia and Erhe Yang
   Proceedings of The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
6. "Entity Spatio-temporal Evolution Summarization in Knowledge Graphs"
   Erhe Yang, Fei Hao*, Jie Gao, Yulei Wu, Geyong Min
   Proceedings of The 11th IEEE International Conference on Knowledge Graph, 2020.
7. "Concept Stability Based Isolated Maximal Cliques Detection in Dynamic Social Networks"
   Jie Gao, Fei Hao*, Erhe Yang, Yixuan Yang, Geyong Min
   Proceedings of The 15th International Conference on Green, Pervasive and Cloud Computing, 2020.
8. "Entity Summarization in Fuzzy Knowledge Graph Based on Fuzzy Formal Concept Analysis"
   Erhe Yang, Fei Hao*, Jie Gao, Doo-Soon Park
   Proceedings of The 14th International Conference on Multimedia and Ubiquitous Engineering, 2020.
9. "A Quick Algorithm on Generating Concept Lattice for Attribute-incremental Streaming Data"
   Yixuan Yang, Fei Hao* , Beibei Pang, Keyun Qin, Zheng Pei, Bo Li
   Proceedings of The 5th IEEE International Conference on Data Science and Systems, pp.2811-2816, 2019.
   
10. "A Sustainable Strategy for Multi-cloud Service Composition based on Formal Concept Analysis"
    Beibei Pang, Yixuan Yang, Fei Hao*
    Proceedings of The 17th IEEE International Conference on Smart City, pp.2659-2665, 2019.
    
11. "Discovering Influential Areas according to Check-in Records and User Influences in Social Networks"
    Jing Liu, Fei Hao* , Yi Wang
    Proceedings of The 20th IEEE International Conference on High Performance Computing and Communications (HPCC 2018), pp.1151-1155, 2018.
    
12. "Personalized Book Recommender System Using Cosine Similarity Measure and Clique-based Clustering"
    Phonexay Vilakone, JinSoo Park, Fei Hao, Doo-Soon Park, Tha Bounthanh, Jang Koon Shin
    Proceedings of The 9th International Conference on Internet, 2017
    
13. "Measuring Similarity Between Graphs Based on Formal Concept Analysis"
    Fei Hao , Dae-Soo Sim, Doo-Soon Park
    Proceedings of The 11th International Conference on Ubiquitous Information Technologies and Applications, pp.730-735, 2016
    
14. "Discovering Influential Users in Micro-blog Marketing with Influence Maximization Mechanism"
    Fei Hao , Min Chen, Chunsheng Zhu, Mohsen Guizani
    Proceedings of IEEE International Conference on Global Communications (GLOBECOM 2012), pp.488-492, 2012.
    

Projects

• Project Investigator, “Research on Virtual Team Recommendation Based on Maximizing Learning Utility and Creativity in Social Learning Network”, Ministry of Education Humanities and Social Sciences Research Youth Fund Project (Grant No. 22YJCZH046), 2023.1-2025.12.
• Project Investigator, “Research on Key Technologies for Cognitive Intelligence Driven Edge-assisted Mobile Crowdsensing”, Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2022JM-371), 2022.1-2023.12.
• Project Investigator, “Modelling Trust-based Evolutionary Dynamics in Signed Social Networks”, The EU H2020 Programme Marie Sklodowska-Curie Individual Fellowship (Grant No. 840922), 2020.2-2022.1.
• Project Investigator, “Research on Mechanisms for Trusted Communities Detection and Dynamic Evolution Based on Formal Concept Analysis in Signed Social Networks”, National Natural Science Foundation of China (Grant No. 61702317), 2018.1-2020.12.
• Project Investigator, “A Tensor-based Unified Representation and Processing for Big Data in Cyber-Physical-Social Systems”, Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2019JM-379), 2019.1-2020.12.
• Project Investigator, “A Novel Mechanism for Trusted Communities Detection and Dynamic Evolution in Signed Social Networks”, Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shaanxi Province (Grant No. 2017024), 2018.1-2019.12.
• Project Investigator, “Research on Big Data Representation and Cleaning in Agricultural Internet of Things”, 2015 Natural Science Foundation for Young Scientists of Shanxi Province, China (Grant No. 2015021102), 2015.1-2017.12.
• Project Investigator, “Formal Concept Analysis based Communities Detection and Intelligence Extraction in Mobile Social Networks”, 2015 Research Project Supported by Shanxi Scholarship Council of China (Grant No. 2015-068), 2016.1-2018.12.

Awards and Honors

• IEEE Outstanding Leadership Award, The 15th IEEE International Conference on Big Data Science and Engineering (BigDataSE 2021), 2021.
• Best Paper Award, The 12th International Conference on Computer Science and Its Applications (CSA 2020), 2020.
• IEEE Outstanding Service Award, The 6th IEEE International Symposium on Social Media Mining and Analysis Data (SMMA 2020), 2020.
• The First Prize Paper Award in 2019 Shaanxi Young Scientists Congress, Shaanxi Association for Science and Technology, 2019.
• IEEE Outstanding Leadership Award, The 3rd IEEE International Conference on Data Science and Computational Intelligence (DSCI 2019), 2019.
• Outstanding Service Award, The 14th IEEE International Conference on Future Information Technology (FutureTech 2019), 2019.
• IEEE Outstanding Service Award, The 4th IEEE International Conference on Data Science and Systems (DSS 2018), 2018.
• IEEE Outstanding Service Award, The 4th IEEE International Symposium on Social Media Mining and Analysis Data (SMMA 2018), 2018.
• IEEE Outstanding Service Award, The 3rd IEEE International Conference on Smart Data (SmartData 2017), 2017.
• Best Paper Award, The 11th International Conference on Ubiquitous Information Technologies and Applications (CUTE 2016), 2016.
• 2015 Chinese Government Award for Outstanding Self-Financed Students Abroad, China Scholarship Council, 2016.
• Best Paper Award, The 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network (UCAWSN 2015), 2015
• Best Paper Award, The 9th International Conference on Multimedia and Ubiquitous Engineering (MUE 2015), 2015.
• IEEE Outstanding Leadership Award, The 2013 IEEE International Conference on Cyber, Physical and Social Computing (CPSCom 2013), 2013.
• Best Paper Award, The 2013 IEEE International Conference on Green Computing and Communication (GreenCom 2013), 2013.

Students

Master Students

• Xinlan Xu, Ce Yang, Beibei Liu (2024)
• Lingkai Zhang(2023)
• Min Tao, Kai Wu, Xinyuan Zhu (2022)
• Huanhuan Xie, Ye Zhang, Muladi (2021)
• Yanqi Gong (2020-2023, now Ph.D student@Nankai University, China)
• Wenqing Huang (2020-2023, now Software Engineer@CIB FinTech, China)
• Jie Gao (2019-2022, now Ph.D student@UNEXE, UK)
• Erhe Yang (2019-2022, now Ph.D student@NWPU, China)
• Beibei Pang (2018-2021, now Ph.D student@Southeast University, China)
• Yixuan Yang (2018-2020, now Ph.D student@SCH, Korea)

Undergraduate Students

• Huilin Fan, Junyu Bu, Jiawei Wang, Bolan Zhang, Siyi He (2025)
• Naixin Zhang, Li Wang, Fuda Wei, Hangxiao Chen (2024)
• Dandan Gao, Baocan Wan, Yikun Liu (2023)
• Ting Suo, Huanxia Zhang (2022)
• Yan Li, Haoran Jin, Peng Yin (2021)
• Huanhuan Xie (2020)
• Junzhe Zhang (2019)
• Yao Ding (2018)

Talks

• Invited Talk Intelligent Optical Network Operation and Maintenance with the Collaboration of Large Language Model and Community Influence , Global Optical Information and Network Conference (GoInc 2024), Wuhan, China, 12 October, 2024.
• Invited Talk Conceptual Structure-enhanced Federated Graph Learning, China Conference on Artificial Intelligence Logics (CAILC 2024), Lanzhou, China, 10 August, 2024.
• Invited Talk Conceptual Structure-enhanced Federated Graph Learning, China Conference on Granular Computing and Knowledge Discovery (CGCKD 2024), Lianyungang, China, 24 July, 2024.
• Invited Talk Learning Concept Interestingness for Social Network Analysis, The International Conference on Computer, Internet of Things and Smart City (CIoTSC 2023), Luoyang, China, 5 Nov, 2023.
• Invited Talk Socially-aware Dependent Tasks Offloading in Mobile Edge Computing, The 7th International Conference on Big Data and Internet of Things (BDIOT2023), Beijing, China, 12 Aug, 2023.
• Invited Talk AFCMiner: Finding Absolute Fair Cliques from Attributed Social Networks for Responsible Computational Social Systems, The IEEE 3rd International Conference on Computer Communicatoin and Artificial Intelligence (CCAI 2023), Taiyuan, China, 27 May, 2023.
• Invited Talk Dual-LightGCN: Dual Light Graph Convolutional Network for Discriminative Recommendation, Soonchunhyang University, Asan, Korea, 17 August, 2022.
• Invited Talk Concept-cognitive Learning for Social Network Analysis, The IEEE 2nd International Conference on Computer Communicatoin and Artificial Intelligence (CCAI 2022), Beijing, China, 8 May, 2022.
• Invited Talk Incremental Entity Summarization with Formal Concept Analysis, Chungbuk National University, Cheongju, Korea, 8 October, 2021.
• Invited Talk Incremental Entity Summarization with Formal Concept Analysis, Soonchunhyang University, Asan, Korea, 5 October, 2021.
• Invited Talk Concept-cognitive Learning for Social Network Analysis, The 1st International Workshop on Data-driven Social Network Analysis and Mining: Algorithms and Applications (DSONAM 2020), Exeter, UK, 19 December, 2020.
• Invited Talk Social Networks Analysis with Soft Computing Techniques: Theories, Approaches and Applications, Chungbuk National University, Cheongju, Korea, 15 January, 2020.
• Invited Talk Virtual Machines Scheduling in Mobile Edge Computing: A Formal Concept Analysis Approach, 2019 Shaanxi Young Scientists Congress, Xi’an, 23 November, 2019.
• Invited Talk When Big Data Meets Justice: Opportunities and Insights in Chinese Smart Justice, International conference on E-justice in Uzbekistan: Current Status and Prospectives for Development up to 2025, Tashkent, Uzbekistan, 27 September, 2019.
• Keynote Speech Online Social Networks Representation, Analysis, and Mining: A Formal Concept Analysis Perspective, The 2nd International Conference on Big data, IoT, and Cloud Computing (BIC 2018), Jeju, Korea, 21 August, 2018.
• Keynote Speech When Social Computing Meets Soft Computing: Opportunities and Insights in Health 3.0, The International Symposium on Advances of High Performance Computing and Networking (AHPCN-2018), Exeter, UK, 29 June, 2018.

Contact

Office: Rm.3513, Wenjin Building, Shaanxi Normal University (Chang'an Campus), Xi'an, 710119, China

Email: fhao[at]snnu.edu.cn