Dazhuo Qiu
Selma Lagerlöfs Vej 300, 3.2.03
Aalborg East, 9220, Denmark
(45) 71386945
Google Scholar: https://scholar.google.com/citations?user=sx2Hhr4AAAAJ&hl=en.
DBLP: https://dblp.org/pid/327/9990.html.
[ICDE 2026] D. Qiu, H. Che, A. Khan, Y. Wu, “Interpreting Graph Inference with Skyline Explanations”, in the 42nd IEEE International Conference on Data Engineering. (CCF A, Core A*)
[KDD 2025] D. Qiu, J. Chen, A. Khan, Y. Zhao, F. Bonchi, “Finding Counterfactual Evidences for Node Classification”, in the 31st SIGKDD Conference on Knowledge Discovery and Data Mining. (CCF A, Core A*) (Acceptance Rate: 18.4%)
[ICDE 2025] J. Chen, H. Miao, D. Qiu, J. Guo, Y. Li, Y. Zhao, “Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing”, in the 41st IEEE International Conference on Data Engineering. (CCF A, Core A*)
[ICDE 2025] J. Chen, J. Guo, D. Qiu, Y. Li, G. Ye, Y. Zhao, K. Zheng, “DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows”, in the 41st IEEE International Conference on Data Engineering. (CCF A, Core A*)
[ICDE 2024] D. Qiu*, M. Wang*, A. Khan, Y. Wu, “Generating Robust Counterfactual Witnesses for Graph Neural Networks”, in the 40th IEEE International Conference on Data Engineering. (CCF A, Core A*)
[SIGMOD 2024 Demonstration] T. Chen*, D. Qiu*, Y. Wu, A. Khan, X. Ke, Y. Gao, “User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views”, in the 2024 ACM SIGMOD/PODS Conference. (CCF A, Core A*)
[SIGMOD 2024] T. Chen*, D. Qiu*, Y. Wu, A. Khan, X. Ke, Y. Gao, “View-based Explanations for Graph Neural Networks”, in the 2024 ACM SIGMOD/PODS Conference. (CCF A, Core A*)
[CIKM 2024] X. Zhong, H. Miao, D. Qiu, Y. Zhao, K. Zheng, “Personalized location-preference learning for federated task assignment in spatial crowdsourcing”, in the 32nd ACM International Conference on Information and Knowledge Management. (CCF B, Core A)
[MDM 2022] D. Qiu, Y. Wang, Y. Zhao, L. Deng, K. Zheng, “CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation”, Best Industry, System and APPs Award, in the 23rd IEEE International Conference on Mobile Data Management. (CCF C, Core B)
Full PhD Scholarships, Department of Computer Science, Aalborg University, Aalborg, Denmark, Dec 2022 – Dec 2025.
KDD 2025 Student Travel Award, The 31st SIGKDD Conference on Knowledge Discovery and Data Mining, 2025, student support scholarship.
SIGMOD/PODS 2024 Student Scholarship, The ACM SIGMOD/PODS International Conference on Data Management, 2024, student support scholarship.
Best Industry, System and APPs Award, The 23rd IEEE International Conference on Mobile Data Management. 2022
Program Committee member: AAAI 2024.
External Reviewer: SIGMOD 2026, 2025, 2024; PVLDB 2025, 2024, 2023; ICDE 2026, 2025, 2024; NeurIPS 2025.
“Explainability and Fairness for Graph Neural Networks.” - Student Invited Talk in CIKM 2024 Workshop on Knowledge Graphs for Responsible AI.
“How to Thrive in Grad School?” - Panelists of KDD 2025: Undergraduate and Master’s Consortium.
Bachelor/Master Semester Project Supervisor: Sep 2023 - Present, Aalborg University. Supervised semester projects for bachelor’s and master’s students, conducted examinations, and reviewed project reports, overseeing 11 student groups with over 50 students.
Prof. Arijit Khan, Aalborg University, arijitk@cs.aau.dk
Prof. Yan Zhao, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, zhaoyan@uestc.edu.cn
Prof. Yinghui Wu, Case Western Reserve University, yxw1650@case.edu
Prof. Francesco Bonchi, CENTAI & Eurocat, bonchi@centai.eu
Prof. Kai Zheng, University of Electronic Science and Technology of China, zhengkai@uestc.edu.cn