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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2025
[j93]Kokil Jaidka
, Tsuhan Chen, Simon Chesterman, Wynne Hsu, Min-Yen Kan, Mohan S. Kankanhalli, Mong-Li Lee, Gyula Seres, Terence Sim, Araz Taeihagh, Anthony Kum Hoe Tung, Xiaokui Xiao, Audrey Yue:
Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digit. Gov. Res. Pract. 6(1): 11:1-11:15 (2025)- [c127]Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan:
Hyperparametric Robust and Dynamic Influence Maximization. AAAI 2025: 12497-12505 - [c126]Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi:
Passive Inference Attacks on Split Learning via Adversarial Regularization. NDSS 2025 - [i86]Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao:
ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. CoRR abs/2501.04901 (2025) - [i85]Mingguo He, Yuhe Guo, Yanping Zheng, Zhewei Wei, Stephan Günnemann, Xiaokui Xiao:
Rethinking Link Prediction for Directed Graphs. CoRR abs/2502.05724 (2025) - [i84]Yiqian Huang, Shiqi Zhang, Xiaokui Xiao:
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG. CoRR abs/2502.09304 (2025) - [i83]Xinjian Luo, Ting Yu, Xiaokui Xiao:
Prompt Inference Attack on Distributed Large Language Model Inference Frameworks. CoRR abs/2503.09291 (2025) - [i82]Kuntai Cai, Xiaokui Xiao, Yin Yang:
PrivPetal: Relational Data Synthesis via Permutation Relations. CoRR abs/2503.22970 (2025) - 2024
- [j92]Beng Chin Ooi, Shaofeng Cai, Gang Chen, Yanyan Shen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao:
NeurDB: an AI-powered autonomous data system. Sci. China Inf. Sci. 67(10) (2024) - [j91]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) - [j90]Xiaokui Xiao:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 48(2): 2 (2024) - [j89]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) - [j88]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) - [j87]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) - [j86]Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao:
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. Proc. VLDB Endow. 17(11): 3666-3679 (2024) - [j85]Xiaokui Xiao:
Sharing Information with Differential Privacy: A Database Perspective. Proc. VLDB Endow. 17(12): 4555 (2024) - [j84]Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. Proc. VLDB Endow. 18(2): 117-129 (2024) - [j83]Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao:
Calibrating Noise for Group Privacy in Subsampled Mechanisms. Proc. VLDB Endow. 18(2): 322-334 (2024) - [j82]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. IEEE Trans. Inf. Forensics Secur. 19: 8109-8124 (2024) - [j81]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) - [j80]Bingxue Zhang, Gang Chen, Beng Chin Ooi, Mike Zheng Shou, Kian-Lee Tan, Anthony K. H. Tung, Xiaokui Xiao, James Wei Luen Yip, Meihui Zhang:
Managing Metaverse Data Tsunami: Actionable Insights. IEEE Trans. Knowl. Data Eng. 36(12): 7423-7441 (2024) - [c125]Chaojie Lv, Xiaokui Xiao, Lan Zhang, Ting Yu:
Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy. AsiaCCS 2024 - [c124]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 - [c123]Ruiqi Xu, Yue Wang, Xiaokui Xiao:
Graph Computation with Adaptive Granularity. ICDE 2024: 2123-2136 - [c122]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao:
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR 2024 - [c121]Hewen Wang, Renchi Yang, Xiaokui Xiao:
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. KDD 2024: 3081-3091 - [c120]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 - [c119]Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu:
Optimal Batched Best Arm Identification. NeurIPS 2024 - [c118]Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Protecting Label Distribution in Cross-Silo Federated Learning. SP 2024: 4828-4847 - [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 - [i81]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) - [i80]Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao:
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. CoRR abs/2403.02867 (2024) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]Hewen Wang, Renchi Yang, Xiaokui Xiao:
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. CoRR abs/2406.13369 (2024) - [i73]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) - [i72]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) - [i71]Xinjian Luo, Yangfan Jiang, Xiaokui Xiao:
Feature Inference Attack on Shapley Values. CoRR abs/2407.11359 (2024) - [i70]Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao:
Calibrating Noise for Group Privacy in Subsampled Mechanisms. CoRR abs/2408.09943 (2024) - [i69]Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. CoRR abs/2410.16603 (2024) - [i68]Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao:
Optimal Streaming Algorithms for Multi-Armed Bandits. CoRR abs/2410.17835 (2024) - [i67]Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan:
Hyperparametric Robust and Dynamic Influence Maximization. CoRR abs/2412.11827 (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]Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. IEEE Trans. Knowl. Data Eng. 32(12): 2297-2309 (2020) - [j46]Chaohui Wang, Miao Xie, Sourav S. Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou:
FERRARI: an efficient framework for visual exploratory subgraph search in graph databases. VLDB J. 29(5): 973-998 (2020) - [j45]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient approximation algorithms for adaptive influence maximization. VLDB J. 29(6): 1385-1406 (2020) - [j44]Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng:
Finding skyline communities in multi-valued networks. VLDB J. 29(6): 1407-1432 (2020) - [c85]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. ICDE 2020: 649-660 - [c84]Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao:
Towards Locally Differentially Private Generic Graph Metric Estimation. ICDE 2020: 1922-1925 - [c83]Héber Hwang Arcolezi, Jean-François Couchot, Oumaya Baala, Jean-Michel Contet, Bechara al Bouna, Xiaokui Xiao:
Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy. IWCMC 2020: 1689-1694 - [c82]Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao:
Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy. Privacy and Identity Management 2020: 40-57 - [c81]Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao:
Analysis of Indexing Structures for Immutable Data. SIGMOD Conference 2020: 925-935 - [c80]Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan:
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. SIGMOD Conference 2020: 1067-1082 - [c79]Sean Tan, Sourav S. Bhowmick, Huey-Eng Chua, Xiaokui Xiao:
LATTE: Visual Construction of Smart Contracts. SIGMOD Conference 2020: 2713-2716 - [i42]Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang:
Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR abs/2002.08082 (2020) - [i41]Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu:
Double Explore-then-Commit: Asymptotic Optimality and Beyond. CoRR abs/2002.09174 (2020) - [i40]Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu:
MOTS: Minimax Optimal Thompson Sampling. CoRR abs/2003.01803 (2020) - [i39]Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao:
Analysis of Indexing Structures for Immutable Data. CoRR abs/2003.02090 (2020) - [i38]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Influence Maximization. CoRR abs/2004.06469 (2020) - [i37]Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi:
Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR abs/2008.06170 (2020) - [i36]Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. CoRR abs/2009.00826 (2020) - [i35]Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi:
Feature Inference Attack on Model Predictions in Vertical Federated Learning. CoRR abs/2010.10152 (2020) - [i34]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR abs/2012.07065 (2020)
2010 – 2019
- 2019
- [j43]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. 108(5): 831-858 (2019) - [j42]Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang:
Efficient and Effective Algorithms for Clustering Uncertain Graphs. Proc. VLDB Endow. 12(6): 667-680 (2019) - [j41]Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang:
Realtime Top-k Personalized PageRank over Large Graphs on GPUs. Proc. VLDB Endow. 13(1): 15-28 (2019) - [j40]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo:
Organizing an Influential Social Event Under a Budget Constraint. IEEE Trans. Knowl. Data Eng. 31(12): 2379-2392 (2019) - [j39]Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang:
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. ACM Trans. Database Syst. 44(4): 18:1-18:37 (2019) - [c78]Haipei Sun, Xiaokui Xiao, Issa Khalil, Yin Yang, Zhan Qin, Wendy Hui Wang, Ting Yu:
Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy. CCS 2019: 703-717 - [c77]Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick:
Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. CIKM 2019: 1973-1982 - [c76]Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. ICDE 2019: 638-649 - [c75]Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao:
Efficient Batch One-Hop Personalized PageRanks. ICDE 2019: 1562-1565 - [c74]Chaohui Wang, Miao Xie, Sourav S. Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou:
An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases. ICDE 2019: 1666-1669 - [c73]Zhe Chen, Aixin Sun, Xiaokui Xiao:
Community Detection on Large Complex Attribute Network. KDD 2019: 2041-2049 - [c72]Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen:
Efficient Pure Exploration in Adaptive Round model. NeurIPS 2019: 6605-6614 - [c71]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference 2019: 1042-1059 - [c70]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference 2019: 1096-1113 - [c69]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference 2019: 1339-1356 - [e3]Francesca Spezzano, Wei Chen, Xiaokui Xiao:
ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019. ACM 2019, ISBN 978-1-4503-6868-1 [contents] - [i33]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR abs/1904.02707 (2019) - [i32]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. CoRR abs/1905.02354 (2019) - [i31]Renchi Yang, Jieming Shi, Xiaokui Xiao, Sourav S. Bhowmick, Yin Yang:
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank. CoRR abs/1906.06826 (2019) - [i30]Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. CoRR abs/1907.00782 (2019) - [i29]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR abs/1907.09668 (2019) - [i28]Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang:
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. CoRR abs/1908.10583 (2019) - [i27]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. CoRR abs/1909.08096 (2019) - [i26]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. CoRR abs/1910.13073 (2019) - 2018
- [j38]Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang:
Efficient Algorithms for Adaptive Influence Maximization. Proc. VLDB Endow. 11(9): 1029-1040 (2018) - [j37]Lu Chen, Yunjun Gao, Zixian Liu, Xiaokui Xiao, Christian S. Jensen, Yifan Zhu:
PTRider: A Price-and-Time-Aware Ridesharing System. Proc. VLDB Endow. 11(12): 1938-1941 (2018) - [j36]Sourav S. Bhowmick, Xiaokui Xiao:
DANTE: Data and Information Management Research at Nanyang Technological University. SIGMOD Rec. 47(2): 67-72 (2018) - [j35]Hyejin Shin, Sungwook Kim, Junbum Shin, Xiaokui Xiao:
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 30(9): 1770-1782 (2018) - [j34]Chundong Wang, Qingsong Wei, Lingkun Wu, Sibo Wang, Cheng Chen, Xiaokui Xiao, Jun Yang, Mingdi Xue, Yechao Yang:
Persisting RB-Tree into NVM in a Consistency Perspective. ACM Trans. Storage 14(1): 6:1-6:27 (2018) - [j33]Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao:
Optimal algorithms for selecting top-k combinations of attributes: theory and applications. VLDB J. 27(1): 27-52 (2018) - [c68]Haiqi Sun, Reynold Cheng, Xiaokui Xiao, Jing Yan, Yudian Zheng, Yuqiu Qian:
Maximizing Social Influence for the Awareness Threshold Model. DASFAA (1) 2018: 491-510 - [c67]Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao:
Efficient Signed Clique Search in Signed Networks. ICDE 2018: 245-256 - [c66]Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu:
PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. ICDE 2018: 821-832 - [c65]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo:
Budget-Constrained Organization of Influential Social Events. ICDE 2018: 917-928 - [c64]Lu Chen, Qilu Zhong, Xiaokui Xiao, Yunjun Gao, Pengfei Jin, Christian S. Jensen:
Price-and-Time-Aware Dynamic Ridesharing. ICDE 2018: 1061-1072 - [c63]Xi Lin, Xiaokui Xiao, Zengxiang Li:
A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data. ISC2 2018: 1-8 - [c62]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen:
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference 2018: 441-456 - [c61]Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng:
Skyline Community Search in Multi-valued Networks. SIGMOD Conference 2018: 457-472 - [c60]Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan:
Online Processing Algorithms for Influence Maximization. SIGMOD Conference 2018: 991-1005 - [c59]Çigdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao:
Influence Maximization in Online Social Networks. WSDM 2018: 775-776 - [i25]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR abs/1802.09172 (2018) - [i24]Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu:
Privacy-preserving Stochastic Gradual Learning. CoRR abs/1810.00383 (2018) - [i23]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. CoRR abs/1810.04334 (2018) - 2017
- [j32]Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka:
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. Knowl. Inf. Syst. 53(1): 239-268 (2017) - [j31]Keke Huang, Sibo Wang, Glenn S. Bevilacqua, Xiaokui Xiao, Laks V. S. Lakshmanan:
Revisiting the Stop-and-Stare Algorithms for Influence Maximization. Proc. VLDB Endow. 10(9): 913-924 (2017) - [j30]Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu:
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. Proc. VLDB Endow. 11(1): 14-26 (2017) - [j29]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network Motif Discovery: A GPU Approach. IEEE Trans. Knowl. Data Eng. 29(3): 513-528 (2017) - [j28]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
PrivBayes: Private Data Release via Bayesian Networks. ACM Trans. Database Syst. 42(4): 25:1-25:41 (2017) - [c58]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI 2017: 3316-3322 - [c57]Zhan Qin, Ting Yu, Yin Yang, Issa Khalil, Xiaokui Xiao, Kui Ren:
Generating Synthetic Decentralized Social Graphs with Local Differential Privacy. CCS 2017: 425-438 - [c56]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphH: High Performance Big Graph Analytics in Small Clusters. CLUSTER 2017: 256-266 - [c55]Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu:
PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy. ICDE 2017: 809-820 - [c54]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. ICPADS 2017: 276-283 - [c53]Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang:
FORA: Simple and Effective Approximate Single-Source Personalized PageRank. KDD 2017: 505-514 - [e2]Zi Huang, Xiaokui Xiao, Xin Cao:
Databases Theory and Applications - 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25-28, 2017, Proceedings. Lecture Notes in Computer Science 10538, Springer 2017, ISBN 978-3-319-68154-2 [contents] - [r2]Xiaokui Xiao:
Optimal Location Queries on Road Networks. Encyclopedia of GIS 2017: 1498-1505 - [i22]Wei Lu, Xiaokui Xiao, Amit Goyal, Keke Huang, Laks V. S. Lakshmanan:
Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study". CoRR abs/1705.05144 (2017) - [i21]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphH: High Performance Big Graph Analytics in Small Clusters. CoRR abs/1705.05595 (2017) - [i20]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. CoRR abs/1707.02557 (2017) - [i19]Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu:
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. CoRR abs/1709.06955 (2017) - [i18]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Cost-Effective Seed Selection in Online Social Networks. CoRR abs/1711.10665 (2017) - 2016
- [j27]Sibo Wang, Xiaokui Xiao, Yin Yang, Wenqing Lin:
Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks. Proc. VLDB Endow. 10(2): 61-72 (2016) - [j26]Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, Zengxiang Li:
HubPPR: Effective Indexing for Approximate Personalized PageRank. Proc. VLDB Endow. 10(3): 205-216 (2016) - [c52]Zhan Qin, Yin Yang, Ting Yu, Issa Khalil, Xiaokui Xiao, Kui Ren:
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy. CCS 2016: 192-203 - [c51]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. EMNLP 2016: 616-626 - [c50]Dong Xie, Guanru Li, Bin Yao, Xuan Wei, Xiaokui Xiao, Yunjun Gao, Minyi Guo:
Practical private shortest path computation based on Oblivious Storage. ICDE 2016: 361-372 - [c49]Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, GuoHui Li:
Keyword-aware continuous kNN query on road networks. ICDE 2016: 871-882 - [c48]Jun Zhang, Xiaokui Xiao, Xing Xie:
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. SIGMOD Conference 2016: 155-170 - [c47]Boyu Tian, Xiaokui Xiao:
SLING: A Near-Optimal Index Structure for SimRank. SIGMOD Conference 2016: 1859-1874 - [c46]Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao:
Mobile App Tagging. WSDM 2016: 63-72 - [i17]Jun Zhang, Xiaokui Xiao, Xing Xie:
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. CoRR abs/1601.03229 (2016) - [i16]Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao:
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. CoRR abs/1603.06679 (2016) - [i15]Boyu Tian, Xiaokui Xiao:
SLING: A Near-Optimal Index Structure for SimRank. CoRR abs/1604.04185 (2016) - [i14]Thông T. Nguyên, Xiaokui Xiao, Yin Yang, Siu Cheung Hui, Hyejin Shin, Junbum Shin:
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy. CoRR abs/1606.05053 (2016) - 2015
- [j25]Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Shuigeng Zhou:
Deterministic identification of specific individuals from GWAS results. Bioinform. 31(11): 1701-1707 (2015) - [j24]Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei:
Towards Maximum Independent Sets on Massive Graphs. Proc. VLDB Endow. 8(13): 2122-2133 (2015) - [j23]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. 40(2): 11:1-11:47 (2015) - [j22]Jiaheng Lu, Chunbin Lin, Wei Wang, Chen Li, Xiaokui Xiao:
Boosting the Quality of Approximate String Matching by Synonyms. ACM Trans. Database Syst. 40(3): 15:1-15:42 (2015) - [c45]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network motif discovery: A GPU approach. ICDE 2015: 831-842 - [c44]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
Private Release of Graph Statistics using Ladder Functions. SIGMOD Conference 2015: 731-745 - [c43]Sibo Wang, Wenqing Lin, Yi Yang, Xiaokui Xiao, Shuigeng Zhou:
Efficient Route Planning on Public Transportation Networks: A Labelling Approach. SIGMOD Conference 2015: 967-982 - [c42]Sibo Wang, Xiaokui Xiao, Chun-Hee Lee:
Crowd-Based Deduplication: An Adaptive Approach. SIGMOD Conference 2015: 1263-1277 - [c41]Youze Tang, Yanchen Shi, Xiaokui Xiao:
Influence Maximization in Near-Linear Time: A Martingale Approach. SIGMOD Conference 2015: 1539-1554 - [c40]Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao:
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning. WSDM 2015: 305-314 - [e1]Xiaokui Xiao, Zhenjie Zhang:
Web-Age Information Management - WAIM 2015 International Workshops: HENA, HRSUNE, Qingdao, China, June 8-10, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9391, Springer 2015, ISBN 978-3-319-23530-1 [contents] - [i13]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR abs/1502.07526 (2015) - 2014
- [j21]Ning Chen, Steven C. H. Hoi, Xiaokui Xiao:
Software process evaluation: a machine learning framework with application to defect management process. Empir. Softw. Eng. 19(6): 1531-1564 (2014) - [j20]Georgios Kellaris, Stavros Papadopoulos, Xiaokui Xiao, Dimitris Papadias:
Differentially Private Event Sequences over Infinite Streams. Proc. VLDB Endow. 7(12): 1155-1166 (2014) - [j19]Bin Yao, Xiaokui Xiao, Feifei Li, Yifan Wu:
Dynamic monitoring of optimal locations in road network databases. VLDB J. 23(5): 697-720 (2014) - [c39]Xiaokui Xiao:
Differentially Private Data Release: Improving Utility with Wavelets and Bayesian Networks. APWeb 2014: 25-35 - [c38]Wenqing Lin, Xiaokui Xiao, Gabriel Ghinita:
Large-scale frequent subgraph mining in MapReduce. ICDE 2014: 844-855 - [c37]Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang:
AR-miner: mining informative reviews for developers from mobile app marketplace. ICSE 2014: 767-778 - [c36]Youze Tang, Xiaokui Xiao, Yanchen Shi:
Influence maximization: near-optimal time complexity meets practical efficiency. SIGMOD Conference 2014: 75-86 - [c35]Andy Diwen Zhu, Wenqing Lin, Sibo Wang, Xiaokui Xiao:
Reachability queries on large dynamic graphs: a total order approach. SIGMOD Conference 2014: 1323-1334 - [c34]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
PrivBayes: private data release via bayesian networks. SIGMOD Conference 2014: 1423-1434 - [i12]Youze Tang, Xiaokui Xiao, Yanchen Shi:
Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency. CoRR abs/1404.0900 (2014) - 2013
- [j18]Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu, Marianne Winslett:
Differentially private histogram publication. VLDB J. 22(6): 797-822 (2013) - [c33]Lingkun Wu, Wenqing Lin, Xiaokui Xiao, Yabo Xu:
LSII: An indexing structure for exact real-time search on microblogs. ICDE 2013: 482-493 - [c32]Bin Yao, Feifei Li, Xiaokui Xiao:
Secure nearest neighbor revisited. ICDE 2013: 733-744 - [c31]Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao:
KORS: Keyword-aware Optimal Route Search System. ICDE 2013: 1340-1343 - [c30]Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin:
Efficient single-source shortest path and distance queries on large graphs. KDD 2013: 998-1006 - [c29]Yufei Tao, Wenqing Lin, Xiaokui Xiao:
Minimal MapReduce algorithms. SIGMOD Conference 2013: 529-540 - [c28]Jun Zhang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Marianne Winslett:
PrivGene: differentially private model fitting using genetic algorithms. SIGMOD Conference 2013: 665-676 - [c27]Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou:
Shortest path and distance queries on road networks: towards bridging theory and practice. SIGMOD Conference 2013: 857-868 - [i11]Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou:
Shortest Path and Distance Queries on Road Networks: Towards Bridging Theory and Practice. CoRR abs/1304.2576 (2013) - [i10]Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin:
Efficient Single-Source Shortest Path and Distance Queries on Large Graphs. CoRR abs/1306.1153 (2013) - 2012
- [j17]Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou:
Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation. Proc. VLDB Endow. 5(5): 406-417 (2012) - [j16]Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao:
Keyword-aware Optimal Route Search. Proc. VLDB Endow. 5(11): 1136-1147 (2012) - [j15]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. Proc. VLDB Endow. 5(11): 1352-1363 (2012) - [j14]Jun Zhang, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Marianne Winslett:
Functional Mechanism: Regression Analysis under Differential Privacy. Proc. VLDB Endow. 5(11): 1364-1375 (2012) - [j13]Michaela Götz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke:
Publishing Search Logs - A Comparative Study of Privacy Guarantees. IEEE Trans. Knowl. Data Eng. 24(3): 520-532 (2012) - [c26]Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S. Bhowmick:
Efficient algorithms for generalized subgraph query processing. CIKM 2012: 325-334 - [c25]Youze Tang, Andy Diwen Zhu, Xiaokui Xiao:
An efficient algorithm for mapping vehicle trajectories onto road networks. SIGSPATIAL/GIS 2012: 601-604 - [c24]Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu:
Differentially Private Histogram Publication. ICDE 2012: 32-43 - [c23]HweeHwa Pang, Xiaokui Xiao, Jialie Shen:
Obfuscating the Topical Intention in Enterprise Text Search. ICDE 2012: 1168-1179 - [c22]Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao:
Differential privacy in data publication and analysis. SIGMOD Conference 2012: 601-606 - [i9]Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou:
Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation. CoRR abs/1201.6564 (2012) - [i8]Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao:
Keyword-aware Optimal Route Search. CoRR abs/1208.0077 (2012) - [i7]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. CoRR abs/1208.0094 (2012) - [i6]Jun Zhang, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Marianne Winslett:
Functional Mechanism: Regression Analysis under Differential Privacy. CoRR abs/1208.0219 (2012) - [i5]Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao:
Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy. CoRR abs/1212.2309 (2012) - 2011
- [j12]Xiaokui Xiao, Guozhang Wang, Johannes Gehrke:
Differential Privacy via Wavelet Transforms. IEEE Trans. Knowl. Data Eng. 23(8): 1200-1214 (2011) - [c21]Xiaokui Xiao, Bin Yao, Feifei Li:
Optimal location queries in road network databases. ICDE 2011: 804-815 - [c20]Ning Chen, Steven C. H. Hoi, Xiaokui Xiao:
Software process evaluation: A machine learning approach. ASE 2011: 333-342 - [c19]Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke:
iReduct: differential privacy with reduced relative errors. SIGMOD Conference 2011: 229-240 - [c18]Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, Byron Choi, Shuigeng Zhou:
GBLENDER: visual subgraph query formulation meets query processing. SIGMOD Conference 2011: 1327-1330 - [r1]Xiaokui Xiao:
M-Invariance. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 739-741 - 2010
- [j11]HweeHwa Pang, Xuhua Ding, Xiaokui Xiao:
Embellishing Text Search Queries To Protect User Privacy. Proc. VLDB Endow. 3(1): 598-607 (2010) - [j10]Sze Man Yuen, Yufei Tao, Xiaokui Xiao, Jian Pei, Donghui Zhang:
Superseding Nearest Neighbor Search on Uncertain Spatial Databases. IEEE Trans. Knowl. Data Eng. 22(7): 1041-1055 (2010) - [j9]Xiaokui Xiao, Yufei Tao, Nick Koudas:
Transparent anonymization: Thwarting adversaries who know the algorithm. ACM Trans. Database Syst. 35(2): 8:1-8:48 (2010) - [c17]Xiaokui Xiao, Ke Yi, Yufei Tao:
The hardness and approximation algorithms for l-diversity. EDBT 2010: 135-146 - [c16]Xiaokui Xiao, Guozhang Wang, Johannes Gehrke:
Differential privacy via wavelet transforms. ICDE 2010: 225-236 - [c15]Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke Yi, Zhengzheng Xing:
Correlation hiding by independence masking. ICDE 2010: 964-967 - [c14]Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, James Cheng, Byron Choi:
GBLENDER: towards blending visual query formulation and query processing in graph databases. SIGMOD Conference 2010: 111-122 - [i4]Xiaokui Xiao, Yufei Tao, Nick Koudas:
Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm. CoRR abs/1003.5080 (2010)
2000 – 2009
- 2009
- [j8]Xiaokui Xiao, Yufei Tao, Minghua Chen:
Optimal Random Perturbation at Multiple Privacy Levels. Proc. VLDB Endow. 2(1): 814-825 (2009) - [j7]Yufei Tao, Hekang Chen, Xiaokui Xiao, Shuigeng Zhou, Donghui Zhang:
ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication. IEEE Trans. Knowl. Data Eng. 21(7): 1073-1087 (2009) - [c13]Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao:
Privacy Preserving Publishing on Multiple Quasi-identifiers. ICDE 2009: 1132-1135 - [c12]Xiaokui Xiao, Guozhang Wang, Johannes Gehrke:
Interactive anonymization of sensitive data. SIGMOD Conference 2009: 1051-1054 - [i3]Michaela Götz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke:
Privacy in Search Logs. CoRR abs/0904.0682 (2009) - [i2]Xiaokui Xiao, Guozhang Wang, Johannes Gehrke:
Differential Privacy via Wavelet Transforms. CoRR abs/0909.5530 (2009) - [i1]Xiaokui Xiao, Ke Yi, Yufei Tao:
The Hardness and Approximation Algorithms for L-Diversity. CoRR abs/0912.5426 (2009) - 2008
- [j6]Xiaokui Xiao, Yufei Tao:
Output perturbation with query relaxation. Proc. VLDB Endow. 1(1): 857-869 (2008) - [j5]Yufei Tao, Xiaokui Xiao:
Primal or dual: which promises faster spatiotemporal search? VLDB J. 17(5): 1253-1270 (2008) - [j4]Yufei Tao, Xiaokui Xiao:
Efficient temporal counting with bounded error. VLDB J. 17(5): 1271-1292 (2008) - [c11]Yufei Tao, Xiaokui Xiao, Jiexing Li, Donghui Zhang:
On Anti-Corruption Privacy Preserving Publication. ICDE 2008: 725-734 - [c10]Xiaokui Xiao, Yufei Tao:
Dynamic anonymization: accurate statistical analysis with privacy preservation. SIGMOD Conference 2008: 107-120 - [c9]Jiexing Li, Yufei Tao, Xiaokui Xiao:
Preservation of proximity privacy in publishing numerical sensitive data. SIGMOD Conference 2008: 473-486 - [p1]Yufei Tao, Xiaokui Xiao:
Personalized Privacy Preservation. Privacy-Preserving Data Mining 2008: 461-485 - 2007
- [j3]Yufei Tao, Xiaokui Xiao, Jian Pei:
Efficient Skyline and Top-k Retrieval in Subspaces. IEEE Trans. Knowl. Data Eng. 19(8): 1072-1088 (2007) - [j2]Yufei Tao, Xiaokui Xiao, Reynold Cheng:
Range search on multidimensional uncertain data. ACM Trans. Database Syst. 32(3): 15 (2007) - [j1]Yufei Tao, Dimitris Papadias, Xiang Lian, Xiaokui Xiao:
Multidimensional reverse k NN search. VLDB J. 16(3): 293-316 (2007) - [c8]Xiaokui Xiao, Yufei Tao:
M-invariance: towards privacy preserving re-publication of dynamic datasets. SIGMOD Conference 2007: 689-700 - [c7]Raymond Chi-Wing Wong, Yufei Tao, Ada Wai-Chee Fu, Xiaokui Xiao:
On Efficient Spatial Matching. VLDB 2007: 579-590 - 2006
- [c6]Yufei Tao, Xiaokui Xiao, Jian Pei:
SUBSKY: Efficient Computation of Skylines in Subspaces. ICDE 2006: 65 - [c5]Yufei Tao, Xiaokui Xiao, Shuigeng Zhou:
Mining distance-based outliers from large databases in any metric space. KDD 2006: 394-403 - [c4]Xiaokui Xiao, Yufei Tao:
Personalized privacy preservation. SIGMOD Conference 2006: 229-240 - [c3]Xiaokui Xiao, Yufei Tao:
Anatomy: Simple and Effective Privacy Preservation. VLDB 2006: 139-150 - 2005
- [c2]Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay Ngai, Ben Kao, Sunil Prabhakar:
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions. VLDB 2005: 922-933 - 2004
- [c1]Xiaokui Xiao, Shaofa Li:
Detail-Preserving Approach for Impulse Noise Removal from Images. CIT 2004: 28-32
Coauthor Index
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