Xiaokui Xiao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 199

Top Venues

Publications

Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang
Information Diffusion Meets Invitation Mechanism. WWW (Companion Volume) (2024)
Ruiqi Xu, Yue Wang, Xiaokui Xiao
Graph Computation with Adaptive Granularity. ICDE (2024)
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates. Digit. Commun. Networks 10 (2) (2024)
Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. CoRR (2024)
Hewen Wang, Renchi Yang, Xiaokui Xiao
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. CoRR (2024)
Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. WWW (2024)
Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. CoRR (2024)
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proc. VLDB Endow. 17 (9) (2024)
Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. CoRR (2024)
Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. CoRR (2024)
Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. WWW (2024)
Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao
NeurDB: An AI-powered Autonomous Data System. CoRR (2024)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR (2024)
Xinjian Luo, Yangfan Jiang, Xiaokui Xiao
Feature Inference Attack on Shapley Values. CoRR (2024)
Zhenjie Zhang, Yuyang Rao, Hao Xiao, Xiaokui Xiao, Yin Yang
Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains. CoRR (2024)
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR (2024)
Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
Predicting Cascading Failures with a Hyperparametric Diffusion Model. CoRR (2024)
Hewen Wang, Renchi Yang, Xiaokui Xiao
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. KDD (2024)
Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
Predicting Cascading Failures with a Hyperparametric Diffusion Model. KDD (2024)
Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17 (6) (2024)
Chaojie Lv, Xiaokui Xiao, Lan Zhang, Ting Yu
Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy. AsiaCCS (2024)
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. Proc. VLDB Endow. 17 (8) (2024)
Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. CoRR (2024)
Xiaokui Xiao
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 47 (2) (2024)
Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CCS (2023)
Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. 16 (10) (2023)
Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
Efficient Approximation Algorithms for Spanning Centrality. KDD (2023)
Kuntai Cai, Xiaokui Xiao, Graham Cormode
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. Proc. ACM Manag. Data 1 (2) (2023)
Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu
Thompson Sampling with Less Exploration is Fast and Optimal. ICML (2023)
Kuntai Cai, Xiaokui Xiao, Graham Cormode
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. CoRR (2023)
Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CoRR (2023)
Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
Optimal Batched Best Arm Identification. CoRR (2023)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. 2023 (2023)
Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD (2023)
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
PANE: scalable and effective attributed network embedding. VLDB J. 32 (6) (2023)
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
Node-wise Diffusion for Scalable Graph Learning. CoRR (2023)
Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
Capacity Constrained Influence Maximization in Social Networks. CoRR (2023)
Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao
Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights. EDBT (2023)
Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao
Efficient and Effective Edge-wise Graph Representation Learning. KDD (2023)
Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR (2023)
Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR (2023)
Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
Capacity Constrained Influence Maximization in Social Networks. KDD (2023)
Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
Node-wise Diffusion for Scalable Graph Learning. WWW (2023)
Beng Chin Ooi, Gang Chen, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Bingxue Zhang, Meihui Zhang
The Metaverse Data Deluge: What Can We Do About It? ICDE (2023)
Ayanga Imesha Kumari Kalupahana, Ananta Narayanan Balaji, Xiaokui Xiao, Li-Shiuan Peh
SeRaNDiP: Leveraging Inherent Sensor Random Noise for Differential Privacy Preservation in Wearable Community Sensing Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. Proc. VLDB Endow. 16 (6) (2023)
Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
GlassDB: Practical Verifiable Ledger Database Through Transparency. CoRR (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS (2022)
Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
Measuring Friendship Closeness: A Perspective of Social Identity Theory. CoRR (2022)
Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
Scalable and Effective Bipartite Network Embedding. SIGMOD Conference (2022)
Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, Rui Mao
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? Neural Comput. Appl. 34 (16) (2022)
Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? CoRR (2022)
Xinjian Luo, Yangfan Jiang, Xiaokui Xiao
Feature Inference Attack on Shapley Values. CCS (2022)
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) (2022)
Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
Measuring Friendship Closeness: A Perspective of Social Identity Theory. CIKM (2022)
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR (2022)
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. CoRR (2022)
Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. ICDE (2022)
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) (2022)
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CCS (2022)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. CoRR (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR (2022)
Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung, Gang Chen, Mike Zheng Shou, Xiaokui Xiao, Meihui Zhang
Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective. CoRR (2022)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR (2022)
Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. Proc. VLDB Endow. 15 (11) (2022)
Tao Wu, Nan Yang, Long Chen, Xiaokui Xiao, Xingping Xian, Jun Liu, Shaojie Qiao, Canyixing Cui
ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks. Inf. Sci. 617 (2022)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. NeurIPS (2022)
Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei
Approximating Probabilistic Group Steiner Trees in Graphs. Proc. VLDB Endow. 16 (2) (2022)
Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CoRR (2022)
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI (2022)
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. SIGMOD Rec. 51 (1) (2022)
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. CoRR (2021)
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR (2021)
Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding
Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality 11 (3) (2021)
Renchi Yang, Xiaokui Xiao
Fast Approximate All Pairwise CoSimRanks via Random Projection. WISE (1) (2021)
Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
Double Explore-then-Commit: Asymptotic Optimality and Beyond. COLT (2021)
Zhe Chen, Aixin Sun, Xiaokui Xiao
Incremental Community Detection on Large Complex Attributed Network. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
Optimal Streaming Algorithms for Multi-Armed Bandits. ICML (2021)
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates. CoRR (2021)
Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao
Signed Clique Search in Signed Networks: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
Privacy-Preserving Stochastic Gradual Learning. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang
PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. CoRR (2021)
Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
MOTS: Minimax Optimal Thompson Sampling. ICML (2021)
Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
Effective and Scalable Clustering on Massive Attributed Graphs. WWW (2021)
Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. Proc. VLDB Endow. 14 (7) (2021)
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
Exploiting Explanations for Model Inversion Attacks. CoRR (2021)
Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML (2021)
Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE (2021)
Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
Effective and Scalable Clustering on Massive Attributed Graphs. CoRR (2021)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS (2021)
Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. 14 (10) (2021)
Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
Exploiting Explanations for Model Inversion Attacks. ICCV (2021)
Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. 14 (11) (2021)
Kuntai Cai, Xiaoyu Lei, Jianxin Wei, Xiaokui Xiao
Data Synthesis via Differentially Private Markov Random Field. Proc. VLDB Endow. 14 (11) (2021)
Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. CIKM (2021)
Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR (2020)
Sean Tan, Sourav S. Bhowmick, Huey-Eng Chua, Xiaokui Xiao
LATTE: Visual Construction of Smart Contracts. SIGMOD Conference (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaokui Xiao