Research output per year
Research output per year
Personal profile
Short presentation
Haiqin Wu is a Postdoc in the Department of Computer Science (DIKU) at the University of Copenhagen (UCPH), Denmark. She received the bachelor and Ph.D. degree in Computer Science from Jiangsu University in June 2014 and September 2019, respectively. She was a visiting student in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) at Arizona State University (ASU), US. Her research interests include data security and privacy protection, mobile crowdsensing, data ecosystems, and blockchain.
Primary fields of research
- Big Data Security
- Privacy Protection
- Mobile Crowdsensing, Cloud Computing, and Internert of Things
- Blockchain
Teaching
Blockchain Business Development (2020/09-2020/12, TA)
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Bilateral Secure and Decentralized Crowdsourcing Task Matching Atop Consortium Blockchain
Li, L., Wu, H., Duedder, B., Shen, J. & Cao, Z., 2024, 2024 IEEE International Conference on Blockchain (Blockchain). IEEE, p. 294-301Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Federated Unlearning in the Internet of Vehicles
Li, G., Feng, X., Wang, L., Wu, H. & Duedder, B., 2024, 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S). IEEE, p. 96-103Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Incentive Mechanism for Uncertain Tasks under Differential Privacy
Jiang, X., Ying, C., Li, L., Düdder, B., Wu, H., Jin, H. & Luo, Y., 2024, In: IEEE Transactions on Services Computing. 17, 3, p. 977-989 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Pure) -
VP2-Match: Verifiable Privacy-Aware and Personalized Crowdsourcing Task Matching via Blockchain
Wu, H., Dudder, B., Jiang, S. & Wang, L., 2024, In: IEEE Transactions on Mobile Computing. 23, 10, p. 9913-9930Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus) -
Distributed and Adversarial Resistant Workflow Execution on the Algorand Blockchain
Xu, Y., Slaats, T., Düdder, B., Debois, S. & Wu, H., 2023, Financial Cryptography and Data Security. FC 2022 International Workshops - CoDecFin, DeFi, Voting, WTSC, Revised Selected Papers. Matsuo, S., Gudgeon, L., Perez Hernandez, D., Werner, S., Klages-Mundt, A., Haines, T., Essex, A., Bracciali, A. & Sala, M. (eds.). Springer, p. 583-597 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13412 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile1 Citation (Scopus)6 Downloads (Pure) -
Incentive Mechanism for Uncertain Tasks under Differential Privacy
Jiang, X., Ying, C., Li, L., Wu, H., Luo, Y. & Düdder, B., 26 May 2023, arxiv.org, 15 p.Research output: Working paper › Preprint › Research
Open AccessFile46 Downloads (Pure) -
Reliable and Streaming Truth Discovery in Blockchain-based Crowdsourcing
Mukkamala, P. S., Wu, H. & Dudder, B., 2023, 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023. IEEE Computer Society Press, p. 492-500Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Security and privacy issues in blockchain and its applications
Wang, L., Sheng, V. S., Düdder, B., Wu, H. & Zhu, H., Dec 2023, In: IET Blockchain. 3, 4, p. 169-171 3 p.Research output: Contribution to journal › Editorial › Research › peer-review
Open AccessFile1 Citation (Scopus)4 Downloads (Pure)