Dr Huiping Chen

Dr Huiping Chen

School of Computer Science
Assistant Professor

Contact details

Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Huiping Chen is an Assistant Professor for the School of Computer Science at the University of Birmingham.

Her research investigates theoretical and practical aspects of data mining including algorithmic design and optimization. Her research works have appeared in major conferences (KDD, ICDM, etc.) and journals (ACM Transactions on TKDD, Theoretical Computer Science, etc.).  She serves as a PC member of conferences (e.g., ICDM and ECAI).

She is currently looking for highly-motivated PhD students, please feel free to contact her via email.

Dr Huiping Chen's Google Scholar page

Qualifications

PhD in Computer Science, King’s College London, 2023

Research

  • Data Mining
  • Data Privacy
  • Data Science/Analytics

Publications

Recent publications

Article

Bernardini, G, Chen, H, Conte, A, Grossi, R, Loukides, G, Pisanti, N, Pissis, SP, Rosone, G & Sweering, M 2021, 'Combinatorial Algorithms for String Sanitization', ACM Transactions on Knowledge Discovery from Data, vol. 15, no. 1, 8. https://doi.org/10.1145/3418683

Chen, H, Loukides, G, Pissis, SP & Chan, H 2021, 'Influence maximization in the presence of vulnerable nodes: A ratio perspective', Theoretical Computer Science, vol. 852, pp. 84-103. https://doi.org/10.1016/j.tcs.2020.11.020

Bernardini, G, Chen, H, Fici, G, Loukides, G & Pissis, SP 2021, 'Reverse-Safe Text Indexing', ACM Journal of Experimental Algorithmics, vol. 26, no. 1, 3461698. https://doi.org/10.1145/3461698

Conference contribution

Chen, H, Dong, C, Fan, L, Loukides, G, Pissis, SP & Stougie, L 2022, Differentially Private String Sanitization for Frequency-Based Mining Tasks. in J Bailey, P Miettinen, YS Koh, D Tao & X Wu (eds), 2021 IEEE International Conference on Data Mining (ICDM). Proceedings. IEEE International Conference on Data Mining, Institute of Electrical and Electronics Engineers (IEEE), pp. 41-50, 21st IEEE International Conference on Data Mining, ICDM 2021, Virtual, Online, New Zealand, 7/12/21. https://doi.org/10.1109/ICDM51629.2021.00014

Bernardini, G, Chen, H, Loukides, G, Pissis, SP, Stougie, L & Sweering, M 2022, Making de Bruijn Graphs Eulerian. in H Bannai & J Holub (eds), 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022)., 12, Leibniz International Proceedings in Informatics (LIPIcs), vol. 223, Schloss Dagstuhl, 33rd Annual Symposium on Combinatorial Pattern Matching, CPM 2022, Prague, Czech Republic, 27/06/22. https://doi.org/10.4230/LIPIcs.CPM.2022.12

Chen, H, Conte, A, Grossi, R, Loukides, G, Pissis, SP & Sweering, M 2021, On Breaking Truss-Based Communities. in KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. Proceedings of the International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery , pp. 117-126, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, Virtual, Online, Singapore, 14/08/21. https://doi.org/10.1145/3447548.3467365

Charalampopoulos, P, Chen, H, Christen, P, Loukides, G, Pisanti, N, Pissis, SP & Radoszewski, J 2021, Pattern Masking for Dictionary Matching. in H-K Ahn & K Sadakane (eds), 32nd International Symposium on Algorithms and Computation (ISAAC 2021)., 65, Leibniz International Proceedings in Informatics (LIPIcs), vol. 212, Schloss Dagstuhl, 32nd International Symposium on Algorithms and Computation, ISAAC 2021, Fukuoka, Japan, 6/12/21. https://doi.org/10.4230/LIPIcs.ISAAC.2021.65

Chen, H, Loukides, G, Fan, J & Chan, H 2020, Limiting the Influence to Vulnerable Users in Social Networks: A Ratio Perspective. in M Takizawa, L Barolli, T Enokido & F Xhafa (eds), Advanced Information Networking and Applications - Proceedings of the 33rd International Conference on Advanced Information Networking and Applications AINA-2019. Advances in Intelligent Systems and Computing, vol. 926, Springer Verlag, pp. 1106-1122, 33rd International Conference on Advanced Information Networking and Applications, AINA-2019, Matsue, Japan, 27/03/19. https://doi.org/10.1007/978-3-030-15032-7_93

Bernardini, G, Chen, H, Fici, G, Loukides, G & Pissis, SP 2020, Reverse-safe data structures for text indexing. in G Blelloch & I Finocchi (eds), 2020 Proceedings of the Symposium on Algorithm Engineering and Experiments, ALENEX 2020. Proceedings of the Workshop on Algorithm Engineering and Experiments, vol. 2020-January, Society for Industrial and Applied Mathematics Publications, pp. 199-213, 2020 Symposium on Algorithm Engineering and Experiments, ALENEX 2020, Salt Lake City, United States, 5/01/20. https://doi.org/10.1137/1.9781611976007.16

Bernardini, G, Chen, H, Conte, A, Grossi, R, Loukides, G, Pisanti, N, Pissis, SP & Rosone, G 2020, String Sanitization: A Combinatorial Approach. in U Brefeld, E Fromont, A Hotho, A Knobbe, M Maathuis & C Robardet (eds), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11906 LNAI, Springer Vieweg, pp. 627-644, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, Wurzburg, Germany, 16/09/19. https://doi.org/10.1007/978-3-030-46150-8_37

Bernardini, G, Chen, H, Loukides, G, Pisanti, N, Pissis, SP, Stougie, L & Sweering, M 2020, String Sanitization under Edit Distance. in IL Gortz & O Weimann (eds), 31st Annual Symposium on Combinatorial Pattern Matching, CPM 2020., 7, Leibniz International Proceedings in Informatics, LIPIcs, vol. 161, Schloss Dagstuhl, 31st Annual Symposium on Combinatorial Pattern Matching, CPM 2020, Copenhagen, Denmark, 17/06/20. https://doi.org/10.4230/LIPIcs.CPM.2020.7

View all publications in research portal