Dr. Fengmei Jin is currently a Research Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University. She earned her doctoral degree from The University of Queensland in August 2023, under the supervision of A/Prof. Wen Hua and Prof. Xiaofang Zhou. Prior to this, she obtained her M.Eng from Renmin University of China in 2019 and her B.Eng from Sun Yat-sen University in 2016, respectively. She is widely interested in database management, data privacy, trajectory data mining, entity linking, and efficient query processing.
Research Interests
Database Management, Spatiotemporal Data Mining and Privacy, Entity Resolution, Knowlege Graph, Efficient Indexing and Query Processing
Academic Positions
[Oct 2023 - Now] Research Assistant Professor, The Hong Kong Polytechnic University
[Apr 2022 - Mar 2023] Research Assistant, The Hong Kong University of Science and Technology (Guangzhou), supervised by Dr. Lei Li
[Jul 2017 - Jun 2018] Visiting Student, The University of Queensland, supervised by Prof. Xiaofang Zhou
Education Background
[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
Publication
[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. 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).
Research Grant
[PI, 12/2023 - 05/2021] Towards a Unified Trajectory Representation Model for Trajectory Data Analytics. Start-up for RAPs under the Strategic Hiring Scheme, HK$250,000.
Supervision
On-going
Jiayun Li (PhD student, May 2024 - Now, UQ), Research on Temporal Entity Alignments for KGs.
Hua Shi (Research Assistant, April 2024 - Now, PolyU), Research on Trajectory-User Linking.
Previous
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, 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, UQ
Computer Science Research Projects (COMP6804, Semester 2, 2020, UQ), co-supervised with A/Prof. Wen Hua and Prof. Xiaofang Zhou, UQ
Teaching
As a Lecturer
[Semester 2, 2023/24] Data Mining and Data Warehousing Applications (COMP5121 Syllabus, 100%), The Hong Kong Polytechnic University
As a Teaching Assistant (TA)
[Semester 2, 2021] Relational Database Systems (INFS2200/7903), The University of Queensland
[Semester 1, 2021] Advanced Techniques for High-Dimensional Data (INFS4205/7205), The University of Queensland
[Semester 2, 2016/17] Database Technology and Application, Renmin University of China
[Semester 2, 2014/15] Operating System and Advanced Mathematics, Sun Yat-Sen University
[Semester 1 and 2, 2013/14] Software Design (Programming language: C++), Sun Yat-Sen University
Academic Service
Proceedings Chair
2024 Australasian Database Conference
Program Committee Member
The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
The 8th APWeb-WAIM joint international conference on Web and Big Data (APWeb 2024, Industry Track)
Invited Reviewer
ACM Transactions on Spatial Algorithms and Systems (TSAS, Mar. 2024)
IEEE Internet of Things Journal (IoT, Nov. 2022)
Data Science and Engineering Journal (DSEJ, Jul. 2022)
Information Sciences (Jun. 2021)
IEEE Transactions on Knowledge and Data Engineering (TKDE, Nov. 2021)
2023 Australasian Database Conference (ADC, 2023)
External Reviewer
SIGMOD, VLDB, KDD, SSTD, ICDE, CIKM, ICDM, IJCAI, DASFAA, MDM, SIGSPATIAL, FCS, JNCA, FGCS, DATAK, INS, etc.
Selected Awards
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)
Updated on 5/8/2024