I am a Professor in the School of Computer Science and Technology at Shandong University. I received my Ph.D. and M.S. in Computer Science and Technology from Shandong University, and my B.S. from Northeastern University. Prior to joining Shandong University, I was a Postdoctoral Researcher at the Hong Kong University of Science and Technology and the University of New South Wales. I also worked as a Researcher at AI-Powered Financial Technologies Ltd.

My research focuses on the mining and analysis of graph data, spanning methodologies from classical graph theory to cutting-edge AI techniques. My work spans:

• Graph Data Mining and Graph Analysis
• Graph Databases and Query Optimization
• Graph Reasoning and Graph Foundation Models
• Graph Security, Privacy, and Trustworthy AI
• Graph-based Agents and LLM-Augmented Graph Systems

Open Positions: We are actively recruiting highly motivated Ph.D. and M.S. students to join our research group.

📧 Contact: qiluo@sdu.edu.cn

📝 Selected Publications

• Efficient Traversal for Core Maintenance in Large-Scale Dynamic Hypergraphs
  Yu Liu, Qi Luo, Yanwei Zheng, Zhipeng Cai, Dongxiao Yu
  World Wide Web, 2025

• Hypergraph Unlearning: A Size-Based Hyperedge Selection and Coverage Aggregation Approach
  Jiaquan Liang, Zhiyu Chen, Qi Luo, Zhenzhen Xie, Gang Liu, Zhipeng Cai
  IEEE Transactions on Information Forensics and Security, 2025

• HAS: Hypergraph Adaptive Sampling for Structural Characteristics Preservation
  Jiaqi Zhang, Jianwei Guo, Qi Luo, Zhenzhen Xie, Gang Liu, Zhipeng Cai
  IEEE Transactions on Computational Social Systems, 2025

• Efficient Indexing and Searching of Constrained Core in Hypergraphs
  Qi Luo, Wenjie Zhang, Zhengyi Yang, Dongxiao Yu, Xuemin Lin, Liping Wang
  The VLDB Journal, 2025

• Effective and Efficient Community Search over Large-Scale Hypergraphs
  Yu Liu, Qi Luo, Yanwei Zheng, Wenjie Zhang, Xuemin Lin, Dongxiao Yu
  EDBT, 2025

• Hierarchical Structure Construction on Hypergraphs
  Qi Luo, Wenjie Zhang, Zhengyi Yang, Dong Wen, Xiaoyang Wang, Dongxiao Yu, Xuemin Lin
  Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

• Reordering and Compression for Hypergraph Processing
  Yu Liu, Qi Luo, Mengbai Xiao, Dongxiao Yu, Huashan Chen, Xiuzhen Cheng
  IEEE Transactions on Computers, 2024

• Sampling Hypergraphs via Joint Unbiased Random Walk
  Qi Luo, Zhenzhen Xie, Yu Liu, Dongxiao Yu, Xiuzhen Cheng, Xuemin Lin, Xiaohua Jia
  World Wide Web, 2024

• Influence Blocking Maximization under Refutation
  Qi Luo, Dongxiao Yu, Dongbiao Wang, Yafei Zhang, Yanwei Zheng, Zhipeng Cai
  Social Network Analysis and Mining, 2023

• Core Maintenance for Hypergraph Streams
  Qi Luo, Dongxiao Yu, Zhipeng Cai, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin
  World Wide Web, 2023 (CCF B)

• Finer-Grained Engagement in Hypergraphs
  Qi Luo, Dongxiao Yu, Yu Liu, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin
  IEEE International Conference on Data Engineering (ICDE), 2023, 423-435 (CCF A)

• Maximal Clique Search in Weighted Graphs
  Dongxiao Yu, Lifang Zhang, Qi Luo*, Xiuzhen Cheng, Zhipeng Cai
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 (CCF A)

• A Truss-Based Framework for Graph Similarity Computation
  Yanwei Zheng, Zichun Zhang, Qi Luo*, Zhenzhen Xie, Dongxiao Yu
  Journal of Database Management (JDM), 2023, 34(1): 1-18. (CCF C)

• Distributed Truss Computation in Dynamic Graphs
  Ziwei Mo, Qi Luo*, Dongxiao Yu, Hao Sheng, Jiguo Yu, Xiuzhen Cheng
  Tsinghua Science and Technology (TST), 2023, 28(5), 973-887. (JCR Q2)

• AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
  Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
  IEEE International Conference on Data Mining (ICDM), 2022. (CCF B)

• EdgeViT: Efficient Visual Modeling for Edge Computing
  Zekai Chen, Fangtian Zhong, Qi Luo, Xiao Zhang, Yanwei Zheng
  Wireless Algorithms, Systems, and Applications (WASA), 2022. (CCF C)

• Toward Maintenance of Hypercores in Large-Scale Dynamic Hypergraphs
  Qi Luo, Dongxiao Yu, Zhipeng Cai, Xuemin Lin, Guanghui Wang, Xiuzhen Cheng
  The VLDB Journal (VLDBJ), 2022, 1-18. (CCF A)

• Core Decomposition and Maintenance in Bipartite Graphs
  Dongxiao Yu, Lifang Zhang, Qi Luo*, Xiuzhen Cheng, Zhipeng Cai
  Tsinghua Science and Technology (TST), 2022, 28(2), 292-309. (JCR Q2)

• A Survey of Structural Representation Learning for Social Networks
  Qi Luo, Dongxiao Yu, AMVV Sai, Zhipeng Cai, Xiuzhen Cheng
  Neurocomputing, 2022, 496, 56-71. (JCR Q2, CCF C)

• Exploring Truss Maintenance in Fully Dynamic Graphs: A Mixed Structure-Based Approach
  Qi Luo, Dongxiao Yu, Xiuzhen Cheng, Hao Sheng, Weifeng Lv
  IEEE Transactions on Computers (TC), 2022, 72(3), 707-718. (CCF A)

• Stable Structural Clustering in Uncertain Graphs
  Dongxiao Yu, Dongbiao Wang, Qi Luo*, Yanwei Zheng, Guanghui Wang, Zhipeng Cai
  Information Sciences, 2022, 586, 596-610. (JCR Q1, CCF B)

• Network Representation Learning Based on Social Similarities
  Ziwei Mo, Zhenzhen Xie, Xilian Zhang, Qi Luo, Yanwei Zheng, Dongxiao Yu
  Frontiers in Environmental Science, 2022, 1460.

• Hypercore Maintenance in Dynamic Hypergraphs
  Qi Luo, Dongxiao Yu, Zhipeng Cai, Xuemin Lin, Xiuzhen Cheng
  International Conference on Data Engineering (ICDE), 2021, 2051-2056. (CCF A)

• Public-Private-Core Maintenance in Public-Private-Graphs
  Dongxiao Yu, Xilian Zhang, Qi Luo*, Lifang Zhang, Zhenzhen Xie, Zhipeng Cai
  Intelligent and Converged Networks (ICN), 2021, 2 (4), 306-319.

• Distributed Core Decomposition in Probabilistic Graphs
  Qi Luo, Dongxiao Yu, Feng Li, Xiuzhen Cheng, Zhipeng Cai, Jiguo Yu
  Asia-Pacific Journal of Operational Research (APJOR), 2021, 38 (05), 2140008.

• Core-GAE: Toward Generation of IoT Networks
  Qi Luo, Dongxiao Yu, Yanwei Zheng, Hao Sheng, Xiuzhen Cheng
  IEEE Internet of Things Journal (IoTJ), 2021, 9(12), 9241-9248. (JCR Q1)

• Fast Core Maintenance in Dynamic Graphs
  Dongxiao Yu, Na Wang, Qi Luo*, Feng Li, Jiguo Yu, Xiuzhen Cheng, Zhipeng Cai
  IEEE Transactions on Computational Social Systems (TCSS), 2021, 9(3), 710-723. (JCR Q2)

• Distributed Algorithm for Truss Maintenance in Dynamic Graphs
  Qi Luo, Dongxiao Yu, Hao Sheng, Jiguo Yu, Xiuzhen Cheng
  International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT), 2020, 104-115. (Best Paper Award)

• Batch Processing for Truss Maintenance in Large Dynamic Graphs
  Qi Luo, Dongxiao Yu, Xiuzhen Cheng, Zhipeng Cai, Jiguo Yu, Weifeng Lv
  IEEE Transactions on Computational Social Systems (TCSS), 2020, 7(6), 1435-1446. (JCR Q2)

• Fast Skyline Community Search in Multi-Valued Networks
  Dongxiao Yu, Lifang Zhang, Qi Luo*, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai
  Big Data Mining and Analytics, 2020, 3(3), 171-180. (CCF T2)

• Distributed Core Decomposition in Probabilistic Graphs
  Qi Luo, Dongxiao Yu, Feng Li, Zhenhao Dou, Zhipeng Cai, Jiguo Yu, Xiuzhen Cheng
  International Conference on Computational Data and Social Networks (CSoNet), 2019, 16-32. (Best Paper Award)

# 🎖 Honors and Awards

• 2019.12 Best Paper Award of CSoNet 2019.
• 2020.12 Best Paper Award of PDCAT 2020.