| 2026 | WWW | SliceGX: Layer-wise GNN Explanation with Model-slicing. | Cibo Yu, Tingting Zhu, Tingyang Chen, Yinghui Wu, Arijit Khan, Xiangyu Ke |
| 2026 | WSDM | GNN Explainers 2.0: User-centric and Data-driven Insights. | Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi |
| 2025 | ICDE | HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores. | Zhonggen Li, Xiangyu Ke, Yifan Zhu, Yunjun Gao, Yaofeng Tu |
| 2025 | KDD | Spectral Subspace Clustering for Attributed Graphs. | Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke |
| 2025 | KDD | Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities. | Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao |
| 2025 | SIGIR | Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search. | Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng |
| 2024 | ICDE | Scalable Community Search with Accuracy Guarantee on Attributed Graphs. | Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu |
| 2024 | ICDE | View-based Explanations for Graph Neural Networks (Extended Abstract). | Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao |
| 2024 | ICDE | GPU-Accelerated Batch-Dynamic Subgraph Matching. | Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang |
| 2024 | ICDE | Accelerating Biclique Counting on GPU. | Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao |
| 2024 | ICDE | MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality. | Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu |
| 2024 | SIGIR | Scalable Community Search over Large-scale Graphs based on Graph Transformer. | Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu |
| 2024 | SIGMOD | User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. | Tingyang Chen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao |
| 2023 | ECAI | Effective and Efficient Community Search with Graph Embeddings. | Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke |
| 2023 | ICDE | Voting-based Opinion Maximization. | Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan |
| 2023 | ICDE | Most Probable Densest Subgraphs. | Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long |
| 2022 | ICDE | Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs. | Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke |
| 2021 | ICDE | Reliability Maximization in Uncertain Graphs (Extended Abstract). | Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari |
| 2018 | SIGMOD | Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. | Xiangyu Ke, Arijit Khan, Gao Cong |
| 2017 | CIKM | Select Your Questions Wisely: For Entity Resolution With Crowd Errors. | Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan |