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- affiliation: Nanyang Technological University, Singapore
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2020 – today
- 2023
[j78]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)- [j77]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) - [j76]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) - [j75]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) - [j74]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) - [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 - [i65]Kuntai Cai, Xiaokui Xiao, Graham Cormode:
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. CoRR abs/2304.04545 (2023) - [i64]Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. CoRR abs/2305.14000 (2023) - [i63]Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang:
Efficient Approximation Algorithms for Spanning Centrality. CoRR abs/2305.16086 (2023) - [i62]Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Capacity Constrained Influence Maximization in Social Networks. CoRR abs/2306.01782 (2023) - [i61]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) - [i60]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) - [i59]Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu:
Optimal Batched Best Arm Identification. CoRR abs/2310.14129 (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]