Dr. JIN Fengmei
PhD in Computer Science
Google Scholar, DBLP, ORCID, LinkedIn
jinfmfm [at] gmail [dot] com
Dr. JIN Fengmei
PhD in Computer Science
Google Scholar, DBLP, ORCID, LinkedIn
jinfmfm [at] gmail [dot] com
[Oct 2023 - Jun 2025] Research Assistant Professor, The Hong Kong Polytechnic University
[Apr 2022 - Mar 2023] Research Assistant, HKUST (Guangzhou), supervised by Dr. Lei Li
[Jul 2017 - Jun 2018] Visiting Student, The University of Queensland, supervised by Prof. Xiaofang Zhou
[Oct 2019 - Aug 2023] Doctor of Philosophy, The University of Queensland (UQ)
Advisors: A/Prof. Wen Hua, Prof. Xiaofang Zhou
Thesis: A Study on Privacy Protection Techniques for Spatiotemporal Data
[Sep 2016 - Jun 2019] Master of Engineering, Renmin University of China (RUC), under the supervision of Prof. Xiaofang Zhou and Prof. Cuiping Li
[Sep 2012 - Jun 2016] Bachelor of Engineering, Sun Yat-sen University (SYSU), under the supervision of A/Prof. Yanghui Rao
[TKDE 2025] A Survey and Experimental Study on Neural Trajectory-User Linking Models. Hua Shi, Dan He, Fengmei Jin*, Wen Hua, Jiwon Kim, Qilin Wang, Xiaofang Zhou. IEEE Transactions on Knowledge and Data Engineering. Accepted in Sep 2025. (Core Rank A*, CCF Rank A) [Code]
[VLDB Journal 2025] Route Optimisation with Collective Spatial Keywords: A Skyline-based Approach. Jiajia Li, Qiulin An, Yang Song, Xing Xiong, Lei Li, Fengmei Jin, Xiaofang Zhou. The VLDB Journal, 34(5), p.61.
[ADMA 2025] Dynamic Service Knowledge Base Construction at WeChat. Haoyang Li, Ziyuan Zhao, Xueling Lin, Alexander Zhou, Hao Xin, Fengmei Jin, Qiang Yan, Tiezheng Mao, Zijian Li, Qing Li, Lei Chen. In Proceedings of the 21st International Conference on Advanced Data Mining and Applications. October 22-24, 2025, Kyoto, Japan (to appear).
[WSDM 2025] HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity Alignment. Jiayun Li, Wen Hua, Fengmei Jin, Xue Li. In Proceedings of the 18th ACM International Conference on Web Search and Data Mining. March 10-14, 2024, Hannover, Germany. (Core Rank A, CCF Rank B)
[ADC 2024] CLMM: Uncertainty-aware Map-Matching for Bluetooth Data through Contrastive Learning. Zichun Zhu, Fengmei Jin, Wen Hua, Jiwon Kim. In Proceedings of the 35th edition of the Australasian Database Conference. December 16-18, 2024, Gold Coast and Tokyo.
[DASFAA 2024] Preserving Location Privacy with Semantic-Aware Indistinguishability. Fengmei Jin, Boyu Ruan, Wen Hua, Lei Li, Xiaofang Zhou. In Proceedings of the 29th International Conference on Database Systems for Advanced Applications, pages 232-242. July 2-5, 2024, Gifu, Japan. (Core Rank B)
[TKDE 2023] Efficient Frequency-Based Randomization for Spatial Trajectories Under Differential Privacy. Fengmei Jin, Wen Hua, Lei Li, Boyu Ruan, Xiaofang Zhou. IEEE Transactions on Knowledge and Data Engineering. Accepted in Sep 2023. (Core Rank A*, CCF Rank A)
[TKDE 2022] A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing. Fengmei Jin, Wen Hua, Matteo Francia, Pingfu Chao, Maria E Orlowska, Xiaofang Zhou. IEEE Transactions on Knowledge and Data Engineering. Accepted in May 2022. (Core Rank A*, CCF Rank A) [Code]
[ICDE 2022] Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. Fengmei Jin, Wen Hua, Boyu Ruan, Xiaofang Zhou. In Proceedings of the 38th IEEE International Conference on Data Engineering, pages 1727-1739. May 9-12, 2022, Kuala Lumpur, Malaysia. (Core Rank A*, CCF Rank A) [Code]
[WISE 2021] An Efficient Approach for Spatial Trajectory Anonymization. Yuetian Wang, Wen Hua, Fengmei Jin, Qiu Jing, Xiaofang Zhou. In Proceedings of the 22nd International Conference on Web Information Systems Engineering, pages 575-590. Oct 26-29, 2021, Melbourne, Australia. (Core Rank A) [Code]
[TKDE 2020] Trajectory-based Spatiotemporal Entity Linking. Fengmei Jin, Wen Hua, Thomas Zhou, Jiajie Xu, Matteo Francia, Maria E Orlowska, Xiaofang Zhou. IEEE Transactions on Knowledge and Data Engineering. Accepted in Nov 2020. (Core Rank A*, CCF Rank A)
[ICDE 2019] Moving Object Linking Based on Historical Trace. Fengmei Jin, Wen Hua, Jiajie Xu, and Xiaofang Zhou. In Proceedings of the 35th IEEE International Conference on Data Engineering, pages 1058-1069. April 8-12, 2019, Macau SAR, China. (Core Rank A*, CCF Rank A) [Code]
[CIKM 2018] MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Fengmei Jin, Guojie Song, Yutao Zhang. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pages 327-336. Oct 22-26, 2018, Turin, Italy. (Core Rank A, CCF Rank B)
Social emotion classification of short text via topic-level maximum entropy model. Yanghui Rao, Haoran Xie, Jun Li, Fengmei Jin, Fu Lee Wang, Qing Li. Information & Management 53(8), pages 978-986 (2016).
Multi-label maximum entropy model for social emotion classification over short text. Jun Li, Yanghui Rao, Fengmei Jin, Huijun Chen, Xiyun Xiang. Neurocomputing 210, pages 247-256 (2016).
[PI, 12/2023 - 05/2025] Towards a Unified Trajectory Representation Model for Trajectory Data Analytics. Start-up for RAPs under the Strategic Hiring Scheme, HK$300,000
Jiayun Li (PhD student, May 2024 - Jun 2025, UQ), co-supervised with A/Prof. Wen Hua, Research on Temporal Entity Alignments for KGs.
Zichun Zhu (PhD student, Sep 2024 - Jun 2025, UQ), co-supervised with A/Prof. Wen Hua, Research on Map-matching for Bluetooth Trajectories.
Rui Xue (Research Assistant, Jan - May 2025, PolyU), Research on Traffic Anomaly Detection.
Hua Shi (Research Assistant, April - Sep 2024, PolyU), Research on Trajectory-User Linking. Now a PhD candidate at UTS.
Qingcheng Zeng (Master, Semester 2, 2023/24, PolyU), Dissertation on Artificial Intelligence & Big Data Computing.
Yuetian Wang (Master, May 2020 - Sep 2021, Guangzhou University), co-supervised with A/Prof. Wen Hua, Research on Trajectory Data Privacy. Now a PhD candidate at Shanghai Jiaotong University, China
Master Thesis Projects (DECO7862, Semester 2, 2020 - 2022, UQ), co-supervised with A/Prof. Wen Hua.
Undergraduate Thesis Projects (ENGG4802, Semester 2, 2020, UQ), co-supervised with A/Prof. Wen Hua and Prof. Xiaofang Zhou.
Computer Science Research Projects (COMP6804, Semester 2, 2020, UQ), co-supervised with A/Prof. Wen Hua and Prof. Xiaofang Zhou.
As a Lecturer
COMP5121: Data Mining and Data Warehousing Applications, The Hong Kong Polytechnic University (Semester 2, 2023-2025, SFQ 4.8/5, Top 10%)
As a Teaching Assistant (TA)
INFS2200/7903: Relational Database Systems, The University of Queensland (Semester 2, 2021)
INFS4205/7205: Advanced Techniques for High-Dimensional Data, The University of Queensland (Semester 1, 2021)
Database Technology and Application, Renmin University of China (Semester 2, 2017)
Operating System and Advanced Mathematics, Sun Yat-Sen University (Semester 2, 2015)
Software Design: C++ Programming, Sun Yat-Sen University (2013-2014)
Proceedings Chair
Australasian Database Conference 2024 (ADC 2024)
Program Committee Member
IEEE International Conference on Data Engineering (ICDE 2026)
ACM International Conference on Information and Knowledge Management (CIKM 2024-2025)
APWeb-WAIM joint international conference on Web and Big Data (APWeb 2024-2025)
Australasian Database Conference (ADC 2023-2024)
Invited Reviewer
IEEE Transactions on Dependable and Secure Computing (TDSC, 2025)
World Wide Web Journal (WWWJ, 2025)
ACM Transactions on Spatial Algorithms and Systems (TSAS, 2024)
Data Science and Engineering Journal (DSEJ, 2024/2022)
IEEE Transactions on Knowledge and Data Engineering (TKDE, 2024/2021)
IEEE Internet of Things Journal (IoT, 2022)
Information Sciences (INS, 2021)
External Reviewer
SIGMOD, VLDB, KDD, SSTD, ICDE, CIKM, ICDM, IJCAI, DASFAA, MDM, SIGSPATIAL, FCS, JNCA, FGCS, DATAK, etc.
[23/10/2024] Developing Privacy-Preserving and Updatable Urban Knowledge Graph. In the Symposium of AI Native Data Intelligence Technologies Youth Symposium. Huawei, Shenzhen, China.
[11/5/2022] Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. In Proceedings of the 38th IEEE International Conference on Data Engineering. Kuala Lumpur, Malaysia.
[10/4/2019] Moving Object Linking Based on Historical Trace. In Proceedings of the 35th IEEE International Conference on Data Engineering. Macau SAR, China.
Student Travel Award for ICDE 2019, support from CCF TCDB
@UQ: Maude Walker Scholarship (2020), Research Higher Degree Scholarship (2019 - 2022)
@RUC: Postgraduate Scholarship (2016 - 2018), Excellent Student Award (2017)
@SYSU: Excellent Student Scholarship (2012 - 2015), Outstanding Leadership Award (2014)