Xiaokui Xiao
Professor
Works on data management and analytics, including algorithms for large graphs, data privacy and data mining.
Xiaokui Xiao's lab at NUS works on data management & big data and graph mining & networks. 56 papers since 2023, 25 at top venues, mostly KDD and WWW. 13 PhD students. 18 alumni, most often to ByteDance and Google. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 45%
- PhD students
- 13
- MS students
- 0
- alumni listed
- 18
Papers by yearfrom the lab homepage, 2023–2026
- 14 papers2026 · T1 2 · collecting
- 14 papers2025 · T1 10
- 16 papers2024 · T1 7
- 12 papers2023 · T1 6
T1 venuesOtherVenues: KDD, WWW, ICDE, CCS, AAAI
Research focuspaper titles that use each topic's words
- Graph mining & networks14 papers
- Data management & big data6 papers
- data5 papers
- large graphs1 paper
- data privacy0 papers
Paper list
From the lab homepage.
202614 papers
- Proceedings of the IEEE Symposium on Security and Privacy (S&P), .Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks
- Proceedings of the ACM on Management of Data (PACMMOD), to appear, .Benchmarking Text-to-SQL under Role-Based Access Control
- Proceedings of the ACM on Management of Data (PACMMOD), 4(3): 165:1-165:36, .DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy
- Proceedings of the ACM on Management of Data (PACMMOD), to appear, .Enhancing Graph-based Approximate Maximum Inner Product Search via Norm-Adaptive Partitioning
- Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), to appear, .GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketing
- Proceedings of the ACM on Management of Data (PACMMOD), 4(3): 189:1-189:25, .Generalized Entity Matching with Adaptivity via Large Language Models
- Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), to appear, .NBQ: Next-Best-Question for Dynamic Profiling
- Proceedings of the ACM on Management of Data (PACMMOD), 4(2): 110:1-110:21, .Near-Optimality for Single-Source Personalized PageRank
- Proceedings of the ACM on Management of Data (PACMMOD), 4(3): 219:1-219:25, .On Self-Designing Learned Indexes
- Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), to appear, .Parameterized Fair Resource Allocation under Diversity Constraints
- Proceedings of the ACM Conference on Computer and Communications Security (CCS), to appear, .Private Direct Preference Optimization for LLM Alignment
- WWW (T1)SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent
202514 papers
- KDD (T1)A Framework for Evaluating AI Agents in Open-Ended Conversations via Scripted Simulation
- ICDE (T1)GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
- CIKM (T1)GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
- KDD (T1)Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking
- AAAI (T1)Hyperparametric Robust and Dynamic Influence Maximization
- KDD (T1)KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
- Proceedings of the ACM on Management of Data (PACMMOD), 3(6): 1-26, .NeurStore: Efficient In-database Deep Learning Model Management System
- Proceedings of the Network and Distributed System Security Symposium (NDSS), .Passive Inference Attacks on Split Learning via Adversarial Regularization
- Proceedings of the ACM on Management of Data (PACMMOD), 3(3): 204:1-204:26, .PrivPetal: Relational Data Synthesis via Permutation Relations
- CCS (T1)Prompt Inference Attack on Distributed Large Language Model Inference Frameworks
- Proceedings of the VLDB Endowment (PVLDB), 18(11): 4410-4423, .ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries
- ICDE (T1)Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy
202416 papers
- Proceedings of the VLDB Endowment (PVLDB), 17(11): 3666-3679, .A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
- Proceedings of the VLDB Endowment (PVLDB), 17(8): 1843-1855, .AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
- Proceedings of the VLDB Endowment (PVLDB), 18(2): 322-334, .Calibrating Noise for Group Privacy in Subsampled Mechanisms
- KDD (T1)Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
- Proceedings of the VLDB Endowment (PVLDB), 18(2): 117-129, .Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
- IEEE Transactions on Information Forensics and Security (TIFS), 19: 8109-8124, .Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
- ICDE (T1)Graph Computation with Adaptive Granularity
- WWW (T1)Information Diffusion Meets Invitation Mechanism
- IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 3312-3328, .On Data Distribution Leakage in Cross-Silo Federated Learning
- WWW (T1)Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
- Proceedings of the VLDB Endowment (PVLDB), 17(6): 1269-1282, .Performance-Based Pricing for Federated Learning via Auction
- KDD (T1)Predicting Cascading Failures with a Hyperparametric Diffusion Model
202312 papers
- CCS (T1)Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
- KDD (T1)Capacity Constrained Influence Maximization in Social Networks
- KDD (T1)Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting
- Proceedings of the ACM on Management of Data (PACMMOD), 1(1): 76:1-76:27, .Effective and Efficient PageRank-based Positioning for Graph Visualization
- KDD (T1)Efficient and Effective Edge-wise Graph Representation Learning
- KDD (T1)Efficient Approximation Algorithms for Spanning Centrality
- Proceedings of the VLDB Endowment (PVLDB), 16(10): 2471-2484, .Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System
- Proceedings of the VLDB Endowment (PVLDB), 16(6): 1359-1371, .GlassDB: An Efficient Verifiable Ledger Database System Through Transparency
- EDBTMulti-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights
- WWW (T1)Node-wise Diffusion for Scalable Graph Learning
- International Journal on Very Large Data Bases (VLDBJ), 32(6): 1237-1262, .PANE: scalable and effective attributed network embedding
- Proceedings of the ACM on Management of Data (PACMMOD), 1(1): 142:1-142:25, .PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy
Where alumni went18 listed, 47% to industry
Industry 7Academia 8
Most often to
- ByteDance
- IBM
Also to
- Mohamed bin Zayed University of Artificial Intelligence
- NUS
- Hong Kong Baptist University
Apply to NUSFall 2027
School of Computing PhD in Computer Science
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