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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2024
[j85]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): 369-379 (2024)- [j84]Xiaokui Xiao:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 47(2): 2 (2024) - [j83]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): 1269-1282 (2024) - [j82]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): 1843-1855 (2024) - [j81]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): 2321-2334 (2024) - [j80]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): 3312-3328 (2024) - [c123]Chaojie Lv, Xiaokui Xiao, Lan Zhang, Ting Yu:
Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy. AsiaCCS 2024 - [c122]Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao:
EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. DASFAA (6) 2024: 321-331 - [c121]Ruiqi Xu, Yue Wang, Xiaokui Xiao:
Graph Computation with Adaptive Granularity. ICDE 2024: 2123-2136 - [c120]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao:
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR 2024 - [c119]Hewen Wang, Renchi Yang, Xiaokui Xiao:
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. KDD 2024: 3081-3091 - [c118]Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan:
Predicting Cascading Failures with a Hyperparametric Diffusion Model. KDD 2024: 3495-3506 - [c117]Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang:
Information Diffusion Meets Invitation Mechanism. WWW (Companion Volume) 2024: 383-392 - [c116]Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. WWW 2024: 1057-1068 - [c115]Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao:
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. WWW 2024: 2660-2671 - [i77]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 abs/2402.18607 (2024) - [i76]Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao:
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. CoRR abs/2403.02867 (2024) - [i75]Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. CoRR abs/2403.07954 (2024) - [i74]Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding:
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR abs/2404.01625 (2024) - [i73]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 abs/2405.03924 (2024) - [i72]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 abs/2405.17934 (2024) - [i71]Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan:
Predicting Cascading Failures with a Hyperparametric Diffusion Model. CoRR abs/2406.08522 (2024) - [i70]Hewen Wang, Renchi Yang, Xiaokui Xiao:
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. CoRR abs/2406.13369 (2024) - [i69]Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao:
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. CoRR abs/2406.14697 (2024) - [i68]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 abs/2407.05034 (2024) - [i67]Xinjian Luo, Yangfan Jiang, Xiaokui Xiao:
Feature Inference Attack on Shapley Values. CoRR abs/2407.11359 (2024) - 2023
- [j79]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): 61:1-61:38 (2023) - [j78]Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang:
Effective and Efficient PageRank-based Positioning for Graph Visualization. Proc. ACM Manag. Data 1(1): 76:1-76:27 (2023) - [j77]Kuntai Cai, Xiaokui Xiao, Graham Cormode:
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. Proc. ACM Manag. Data 1(2): 142:1-142:25 (2023) - [j76]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): 1359-1371 (2023) - [j75]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): 2471-2484 (2023) - [j74]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) - [j73]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu:
PANE: scalable and effective attributed network embedding. VLDB J. 32(6): 1237-1262 (2023) - [c114]Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao:
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CCS 2023: 2651-2664 - [c113]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: 247-259 - [c112]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: 3675-3687 - [c111]Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu:
Thompson Sampling with Less Exploration is Fast and Optimal. ICML 2023: 15239-15261 - [c110]Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li:
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD 2023: 69-79 - [c109]Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao:
Efficient and Effective Edge-wise Graph Representation Learning. KDD 2023: 2326-2336 - [c108]Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Capacity Constrained Influence Maximization in Social Networks. KDD 2023: 3376-3385 - [c107]Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang:
Efficient Approximation Algorithms for Spanning Centrality. KDD 2023: 3386-3395 - [c106]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. WWW 2023: 1723-1733 - [i66]Kuntai Cai, Xiaokui Xiao, Graham Cormode:
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. CoRR abs/2304.04545 (2023) - [i65]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. CoRR abs/2305.14000 (2023) - [i64]Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang:
Efficient Approximation Algorithms for Spanning Centrality. CoRR abs/2305.16086 (2023) - [i63]Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Capacity Constrained Influence Maximization in Social Networks. CoRR abs/2306.01782 (2023) - [i62]Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao:
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CoRR abs/2309.03190 (2023) - [i61]Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi:
Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR abs/2310.10483 (2023) - [i60]Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu:
Optimal Batched Best Arm Identification. CoRR abs/2310.14129 (2023) - [i59]Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao:
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR abs/2311.15310 (2023) - 2022
- [j72]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: 234-253 (2022) - [j71]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): 13355-13369 (2022) - [j70]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): 2348-2360 (2022) - [j69]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): 343-355 (2022) - [j68]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): 42-49 (2022) - [j67]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): 3335-3348 (2022) - [j66]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): 4905-4920 (2022) - [c105]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI 2022: 1899-1907 - [c104]Xinjian Luo, Yangfan Jiang, Xiaokui Xiao:
Feature Inference Attack on Shapley Values. CCS 2022: 2233-2247 - [c103]Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang:
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CCS 2022: 2885-2899 - [c102]Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Measuring Friendship Closeness: A Perspective of Social Identity Theory. CIKM 2022: 3664-3673 - [c101]Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han:
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. ICDE 2022: 3142-3145 - [c100]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: 1172-1184 - [c99]Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar:
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. NeurIPS 2022 - [c98]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS 2022 - [c97]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) 2022: 55-70 - [c96]Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao:
Scalable and Effective Bipartite Network Embedding. SIGMOD Conference 2022: 1977-1991 - [i58]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR abs/2202.10720 (2022) - [i57]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 abs/2205.00436 (2022) - [i56]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 abs/2205.02406 (2022) - [i55]Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar:
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. CoRR abs/2206.03520 (2022) - [i54]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 abs/2206.10326 (2022) - [i53]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 abs/2207.00944 (2022) - [i52]Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Measuring Friendship Closeness: A Perspective of Social Identity Theory. CoRR abs/2208.09176 (2022) - [i51]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR abs/2210.08353 (2022) - [i50]Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang:
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CoRR abs/2210.09634 (2022) - [i49]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 abs/2212.04371 (2022) - 2021
- [j65]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) - [j64]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): 1137-1149 (2021) - [j63]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): 1756-1768 (2021) - [j62]Kuntai Cai, Xiaoyu Lei, Jianxin Wei, Xiaokui Xiao:
Data Synthesis via Differentially Private Markov Random Field. Proc. VLDB Endow. 14(11): 2190-2202 (2021) - [j61]Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding:
CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. 14(11): 2258-2270 (2021) - [j60]Zhe Chen, Aixin Sun, Xiaokui Xiao:
Incremental Community Detection on Large Complex Attributed Network. ACM Trans. Knowl. Discov. Data 15(6): 109:1-109:20 (2021) - [j59]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): 710-727 (2021) - [j58]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): 3129-3140 (2021) - [c95]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: 47-57 - [c94]Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu:
Double Explore-then-Commit: Asymptotic Optimality and Beyond. COLT 2021: 2584-2633 - [c93]Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim:
Exploiting Explanations for Model Inversion Attacks. ICCV 2021: 662-672 - [c92]Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE 2021: 181-192 - [c91]Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao:
Optimal Streaming Algorithms for Multi-Armed Bandits. ICML 2021: 5045-5054 - [c90]Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu:
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML 2021: 5065-5073 - [c89]Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. ICML 2021: 5074-5083 - [c88]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS 2021: 18762-18773 - [c87]Renchi Yang, Xiaokui Xiao:
Fast Approximate All Pairwise CoSimRanks via Random Projection. WISE (1) 2021: 438-452 - [c86]Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. WWW 2021: 3675-3687 - [i48]Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. CoRR abs/2102.03826 (2021) - [i47]Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim:
Exploiting Explanations for Model Inversion Attacks. CoRR abs/2104.12669 (2021) - [i46]Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR abs/2105.07754 (2021) - [i45]Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao:
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. CoRR abs/2109.07269 (2021) - [i44]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 abs/2111.04636 (2021) - [i43]Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang:
PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. CoRR abs/2112.14944 (2021) - 2020
- [j57]Héber Hwang Arcolezi, Jean-François Couchot, Selene Cerna, Christophe Guyeux, Guillaume Royer, Bechara al Bouna, Xiaokui Xiao:
Forecasting the number of firefighter interventions per region with local-differential-privacy-based data. Comput. Secur. 96: 101888 (2020) - [j56]Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui:
Hunting multiple bumps in graphs. Proc. VLDB Endow. 13(5): 656-669 (2020) - [j55]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick:
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank. Proc. VLDB Endow. 13(5): 670-683 (2020) - [j54]Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang:
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. Proc. VLDB Endow. 13(7): 966-978 (2020) - [j53]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. Proc. VLDB Endow. 13(11): 2090-2103 (2020) - [j52]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. Proc. VLDB Endow. 14(1): 37-49 (2020) - [j51]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. IEEE Trans. Big Data 6(4): 816-829 (2020) - [j50]Dumitrel Loghin, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Feiyi Fan, Qian Lin, Janice Ng, Beng Chin Ooi, Xutao Sun, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang:
The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE Trans. Knowl. Data Eng. 32(6): 1179-1198 (2020) - [j49]Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu:
ROAM: A Fundamental Routing Query on Road Networks with Efficiency. IEEE Trans. Knowl. Data Eng. 32(8): 1595-1609 (2020) - [j48]Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao:
BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. IEEE Trans. Knowl. Data Eng. 32(10): 1897-1908 (2020) - [j47]