Publications

[Under review] D. Qiu, H. Che, A. Khan, Y. Wu, “Interpreting Graph Inference with Skyline Explanations”.

[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)