Xiaokui Xiao - RankMe

344 papers A* 80A 9B 6C 3Misc 1Journal 197Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate Table Question Answering with Accessible LLMs. CoRR Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao
2026	J	`jnl`	DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy. CoRR Yuan Qiu, Xiaokui Xiao, Yin Yang
2026	J	`jnl`	Front Matter. Proc. VLDB Endow. Yanlei Diao, Xiaokui Xiao
2026	A*	`conf`	SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent. WWW Jianxin Wei, Ergute Bao, Xiaokui Xiao, Ting Yu
2026	J	`jnl`	Safeguarding Federated Learning From Data Reconstruction Attacks via Gradient Dropout. IEEE Trans. Inf. Forensics Secur. Ekanut Sotthiwat, Chi Zhang, Xiaokui Xiao, Liangli Zhen
2026	A*	`conf`	Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory. WWW Zhaofeng Li, Chen Xu, Xinyu Lin, Wenjie Wang, Xiaokui Xiao
2025	—	`conf`	A Framework for Evaluating AI Agents in Open-Ended Conversations via Scripted Simulation. KDD (2) Clarice Wang, Yimin Shi, Xiaokui Xiao
2025	—	`conf`	Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management. SIGMOD Conference Companion Ningyi Liao, Siqiang Luo, Xiaokui Xiao, Reynold Cheng
2025	J	`jnl`	Beyond Manuals and Tasks: Instance-Level Context Learning for LLM Agents. CoRR Kuntai Cai, Juncheng Liu, Xianglin Yang, Zhaojie Niu, Xiaokui Xiao, Xing Chen
2025	A*	`conf`	From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. SP Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025	J	`jnl`	From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. CoRR Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Yanlei Diao, Xiaokui Xiao
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Yanlei Diao, Xiaokui Xiao
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Yanlei Diao, Xiaokui Xiao
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Yanlei Diao, Xiaokui Xiao
2025	A*	`conf`	GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. ICDE Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
2025	J	`jnl`	GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketing. CoRR Silan Hu, Shiqi Zhang, Yimin Shi, Xiaokui Xiao
2025	A	`conf`	GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. CIKM Hewen Wang, Renchi Yang, Xiaokui Xiao
2025	J	`jnl`	GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. CoRR Hewen Wang, Renchi Yang, Xiaokui Xiao
2025	—	`conf`	Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking. KDD (2) Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2025	A*	`conf`	Hyperparametric Robust and Dynamic Influence Maximization. AAAI Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2025	—	`conf`	KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG. KDD (2) Yiqian Huang, Shiqi Zhang, Xiaokui Xiao
2025	J	`jnl`	KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG. CoRR Yiqian Huang, Shiqi Zhang, Xiaokui Xiao
2025	J	`jnl`	Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. Digit. Gov. Res. Pract. 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
2025	J	`jnl`	NeurStore: Efficient In-database Deep Learning Model Management System. CoRR Siqi Xiang, Sheng Wang, Xiaokui Xiao, Cong Yue, Zhanhao Zhao, Beng Chin Ooi
2025	J	`jnl`	NeurStore: Efficient In-database Deep Learning Model Management System. Proc. ACM Manag. Data Siqi Xiang, Sheng Wang, Xiaokui Xiao, Cong Yue, Zhanhao Zhao, Beng Chin Ooi
2025	A*	`conf`	Passive Inference Attacks on Split Learning via Adversarial Regularization. NDSS Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
2025	J	`jnl`	PrivPetal: Relational Data Synthesis via Permutation Relations. CoRR Kuntai Cai, Xiaokui Xiao, Yin Yang
2025	J	`jnl`	PrivPetal: Relational Data Synthesis via Permutation Relations. Proc. ACM Manag. Data Kuntai Cai, Xiaokui Xiao, Yin Yang
2025	A*	`conf`	Prompt Inference Attack on Distributed Large Language Model Inference Frameworks. CCS Xinjian Luo, Ting Yu, Xiaokui Xiao
2025	J	`jnl`	Prompt Inference Attack on Distributed Large Language Model Inference Frameworks. CoRR Xinjian Luo, Ting Yu, Xiaokui Xiao
2025	J	`jnl`	Rethinking Link Prediction for Directed Graphs. CoRR Mingguo He, Yuhe Guo, Yanping Zheng, Zhewei Wei, Stephan Günnemann, Xiaokui Xiao
2025	B	`conf`	TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks. ICPP Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Chencan Wu, Yong Li, Xiaokui Xiao, Wei Lin, Jialin Li
2025	J	`jnl`	ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. CoRR Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao
2025	J	`jnl`	ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. Proc. VLDB Endow. Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao
2025	J	`jnl`	Tighter Lower Bounds for Single Source Personalized PageRank. CoRR Xinpeng Jiang, Haoyu Liu, Siqiang Luo, Xiaokui Xiao
2025	A*	`conf`	Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. ICDE Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du
2025	A*	`conf`	Unlocking the Power of Differentially Private Zeroth-order Optimization for Fine-tuning LLMs. USENIX Security Symposium Ergute Bao, Yangfan Jiang, Fei Wei, Xiaokui Xiao, Zitao Li, Yaliang Li, Bolin Ding
2025	A*	`conf`	You Are What You Bought: Generating Customer Personas for E-commerce Applications. SIGIR Yimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao
2025	J	`jnl`	You Are What You Bought: Generating Customer Personas for E-commerce Applications. CoRR Yimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao
2024	J	`jnl`	A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. CoRR Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao
2024	J	`jnl`	A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs. Proc. VLDB Endow. Zhicheng Liang, Yu Yang, Xiangyu Ke, Xiaokui Xiao, Yunjun Gao
2024	J	`jnl`	AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. CoRR Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
2024	J	`jnl`	AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. Proc. VLDB Endow. Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
2024	J	`jnl`	Calibrating Noise for Group Privacy in Subsampled Mechanisms. CoRR Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao
2024	J	`jnl`	Calibrating Noise for Group Privacy in Subsampled Mechanisms. Proc. VLDB Endow. Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao
2024	—	`conf`	EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. DASFAA (6) Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao
2024	A*	`conf`	Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. KDD Hewen Wang, Renchi Yang, Xiaokui Xiao
2024	J	`jnl`	Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. CoRR Hewen Wang, Renchi Yang, Xiaokui Xiao
2024	J	`jnl`	Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. CoRR Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang
2024	J	`jnl`	Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. Proc. VLDB Endow. Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang
2024	J	`jnl`	Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. CoRR Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2024	J	`jnl`	Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective. IEEE Trans. Inf. Forensics Secur. Xinjian Luo, Yangfan Jiang, Fei Wei, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2024	J	`jnl`	Feature Inference Attack on Shapley Values. CoRR Xinjian Luo, Yangfan Jiang, Xiaokui Xiao
2024	J	`jnl`	GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. CoRR Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi
2024	A*	`conf`	Graph Computation with Adaptive Granularity. ICDE Ruiqi Xu, Yue Wang, Xiaokui Xiao
2024	J	`jnl`	Hyperparametric Robust and Dynamic Influence Maximization. CoRR Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2024	J	`jnl`	Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates. Digit. Commun. Networks Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2024	—	`conf`	Information Diffusion Meets Invitation Mechanism. WWW (Companion Volume) Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang
2024	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Xiaokui Xiao
2024	J	`jnl`	Managing Metaverse Data Tsunami: Actionable Insights. IEEE Trans. Knowl. Data Eng. 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
2024	J	`jnl`	NeurDB: An AI-powered Autonomous Data System. CoRR Beng Chin Ooi, Shaofeng Cai, Gang Chen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao
2024	J	`jnl`	NeurDB: an AI-powered autonomous data system. Sci. China Inf. Sci. 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
2024	J	`jnl`	On Data Distribution Leakage in Cross-Silo Federated Learning. IEEE Trans. Knowl. Data Eng. Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
2024	A*	`conf`	Optimal Batched Best Arm Identification. NeurIPS Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
2024	J	`jnl`	Optimal Streaming Algorithms for Multi-Armed Bandits. CoRR Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
2024	A*	`conf`	Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. WWW Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò
2024	J	`jnl`	Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. CoRR Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò
2024	J	`jnl`	Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
2024	A*	`conf`	Predicting Cascading Failures with a Hyperparametric Diffusion Model. KDD Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
2024	J	`jnl`	Predicting Cascading Failures with a Hyperparametric Diffusion Model. CoRR Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
2024	J	`jnl`	Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains. CoRR Zhenjie Zhang, Yuyang Rao, Hao Xiao, Xiaokui Xiao, Yin Yang
2024	A*	`conf`	Protecting Label Distribution in Cross-Silo Federated Learning. SP Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2024	A	`conf`	Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy. AsiaCCS Chaojie Lv, Xiaokui Xiao, Lan Zhang, Ting Yu
2024	A*	`conf`	Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. WWW Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao
2024	J	`jnl`	Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. CoRR Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao
2024	A*	`conf`	Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
2024	J	`jnl`	Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. Proc. VLDB Endow. Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
2024	J	`jnl`	Sharing Information with Differential Privacy: A Database Perspective. Proc. VLDB Endow. Xiaokui Xiao
2023	A*	`conf`	Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CCS Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
2023	J	`jnl`	Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. CoRR Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
2023	A*	`conf`	Capacity Constrained Influence Maximization in Social Networks. KDD Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
2023	J	`jnl`	Capacity Constrained Influence Maximization in Social Networks. CoRR Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
2023	A*	`conf`	Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li
2023	J	`jnl`	Effective and Efficient PageRank-based Positioning for Graph Visualization. Proc. ACM Manag. Data Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang
2023	A*	`conf`	Efficient Approximation Algorithms for Spanning Centrality. KDD Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
2023	J	`jnl`	Efficient Approximation Algorithms for Spanning Centrality. CoRR Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang
2023	A*	`conf`	Efficient and Effective Edge-wise Graph Representation Learning. KDD Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao
2023	J	`jnl`	Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System. Proc. VLDB Endow. Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang
2023	J	`jnl`	GlassDB: An Efficient Verifiable Ledger Database System Through Transparency. Proc. VLDB Endow. Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
2023	B	`conf`	Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights. EDBT Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao
2023	A*	`conf`	Node-wise Diffusion for Scalable Graph Learning. WWW Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023	J	`jnl`	Node-wise Diffusion for Scalable Graph Learning. CoRR Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao
2023	J	`jnl`	Optimal Batched Best Arm Identification. CoRR Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
2023	J	`jnl`	PANE: scalable and effective attributed network embedding. VLDB J. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2023	J	`jnl`	Passive Inference Attacks on Split Learning via Adversarial Regularization. CoRR Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
2023	J	`jnl`	PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. CoRR Kuntai Cai, Xiaokui Xiao, Graham Cormode
2023	J	`jnl`	PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. Proc. ACM Manag. Data Kuntai Cai, Xiaokui Xiao, Graham Cormode
2023	J	`jnl`	SeRaNDiP: Leveraging Inherent Sensor Random Noise for Differential Privacy Preservation in Wearable Community Sensing Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Ayanga Imesha Kumari Kalupahana, Ananta Narayanan Balaji, Xiaokui Xiao, Li-Shiuan Peh
2023	J	`jnl`	Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs. CoRR Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao
2023	J	`jnl`	Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
2023	A*	`conf`	The Metaverse Data Deluge: What Can We Do About It? ICDE 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
2023	A*	`conf`	Thompson Sampling with Less Exploration is Fast and Optimal. ICML Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu
2022	A*	`conf`	A Fusion-Denoising Attack on InstaHide with Data Augmentation. AAAI Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
2022	J	`jnl`	Approximating Probabilistic Group Steiner Trees in Graphs. Proc. VLDB Endow. Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei
2022	A*	`conf`	DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CCS Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
2022	J	`jnl`	DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. CoRR Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang
2022	—	`conf`	Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
2022	J	`jnl`	Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
2022	J	`jnl`	Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? CoRR Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao
2022	J	`jnl`	Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? Neural Comput. Appl. Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao
2022	J	`jnl`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2022	J	`jnl`	ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks. Inf. Sci. Tao Wu, Nan Yang, Long Chen, Xiaokui Xiao, Xingping Xian, Jun Liu, Shaojie Qiao, Canyixing Cui
2022	A*	`conf`	Feature Inference Attack on Shapley Values. CCS Xinjian Luo, Yangfan Jiang, Xiaokui Xiao
2022	A*	`conf`	Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. NeurIPS Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
2022	J	`jnl`	Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits. CoRR Tianyuan Jin, Pan Xu, Xiaokui Xiao, Anima Anandkumar
2022	J	`jnl`	GlassDB: Practical Verifiable Ledger Database Through Transparency. CoRR Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao
2022	J	`jnl`	I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, Rui Mao
2022	J	`jnl`	LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2022	—	`conf`	LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2022	A*	`conf`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	J	`jnl`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	A	`conf`	Measuring Friendship Closeness: A Perspective of Social Identity Theory. CIKM Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
2022	J	`jnl`	Measuring Friendship Closeness: A Perspective of Social Identity Theory. CoRR Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang
2022	J	`jnl`	No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. SIGMOD Rec. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu
2022	—	`conf`	Scalable and Effective Bipartite Network Embedding. SIGMOD Conference Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2022	J	`jnl`	Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective. CoRR Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung, Gang Chen, Mike Zheng Shou, Xiaokui Xiao, Meihui Zhang
2022	J	`jnl`	Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. CoRR Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
2022	J	`jnl`	Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. Proc. VLDB Endow. Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung
2022	A*	`conf`	VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. ICDE Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han
2021	J	`jnl`	A Fusion-Denoising Attack on InstaHide with Data Augmentation. CoRR Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi
2021	A*	`conf`	Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. ICML Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu
2021	J	`jnl`	CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy. Proc. VLDB Endow. Ergute Bao, Yin Yang, Xiaokui Xiao, Bolin Ding
2021	J	`jnl`	Data Synthesis via Differentially Private Markov Random Field. Proc. VLDB Endow. Kuntai Cai, Xiaoyu Lei, Jianxin Wei, Xiaokui Xiao
2021	A*	`conf`	Double Explore-then-Commit: Asymptotic Optimality and Beyond. COLT Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
2021	A*	`conf`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2021	A*	`conf`	Effective and Scalable Clustering on Massive Attributed Graphs. WWW Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
2021	J	`jnl`	Effective and Scalable Clustering on Massive Attributed Graphs. CoRR Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
2021	A*	`conf`	Exploiting Explanations for Model Inversion Attacks. ICCV Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
2021	J	`jnl`	Exploiting Explanations for Model Inversion Attacks. CoRR Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim
2021	—	`conf`	Fast Approximate All Pairwise CoSimRanks via Random Projection. WISE (1) Renchi Yang, Xiaokui Xiao
2021	A*	`conf`	Feature Inference Attack on Model Predictions in Vertical Federated Learning. ICDE Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2021	J	`jnl`	Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. Proc. VLDB Endow. Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo
2021	J	`jnl`	Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates. CoRR Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2021	J	`jnl`	Incremental Community Detection on Large Complex Attributed Network. ACM Trans. Knowl. Discov. Data Zhe Chen, Aixin Sun, Xiaokui Xiao
2021	A*	`conf`	MOTS: Minimax Optimal Thompson Sampling. ICML Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
2021	A*	`conf`	Optimal Streaming Algorithms for Multi-Armed Bandits. ICML Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao
2021	J	`jnl`	PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. CoRR Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang
2021	J	`jnl`	Privacy-Preserving Stochastic Gradual Learning. IEEE Trans. Knowl. Data Eng. Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
2021	A	`conf`	Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. CIKM Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2021	J	`jnl`	Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. CoRR Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2021	J	`jnl`	Signed Clique Search in Signed Networks: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao
2021	J	`jnl`	Synthetic Data Generation with Differential Privacy via Bayesian Networks. J. Priv. Confidentiality Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding
2021	J	`jnl`	Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization. Proc. VLDB Endow. Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao
2020	J	`jnl`	Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao
2020	—	`conf`	Analysis of Indexing Structures for Immutable Data. SIGMOD Conference Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao
2020	J	`jnl`	Analysis of Indexing Structures for Immutable Data. CoRR Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao
2020	J	`jnl`	BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. IEEE Trans. Knowl. Data Eng. Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao
2020	J	`jnl`	Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. IEEE Trans. Knowl. Data Eng. Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang
2020	J	`jnl`	Double Explore-then-Commit: Asymptotic Optimality and Beyond. CoRR Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu
2020	J	`jnl`	Efficient Approximation Algorithms for Adaptive Influence Maximization. CoRR Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
2020	A*	`conf`	Efficient Approximation Algorithms for Adaptive Target Profit Maximization. ICDE Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim
2020	J	`jnl`	Efficient approximation algorithms for adaptive influence maximization. VLDB J. Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim
2020	J	`jnl`	FERRARI: an efficient framework for visual exploratory subgraph search in graph databases. VLDB J. Chaohui Wang, Miao Xie, Sourav S. Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou
2020	J	`jnl`	Feature Inference Attack on Model Predictions in Vertical Federated Learning. CoRR Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi
2020	J	`jnl`	Finding skyline communities in multi-valued networks. VLDB J. Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng
2020	J	`jnl`	Forecasting the number of firefighter interventions per region with local-differential-privacy-based data. Comput. Secur. Héber Hwang Arcolezi, Jean-François Couchot, Selene Cerna, Christophe Guyeux, Guillaume Royer, Bechara al Bouna, Xiaokui Xiao
2020	—	`conf`	GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. SIGMOD Conference Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan
2020	J	`jnl`	GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. IEEE Trans. Big Data Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2020	J	`jnl`	Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank. Proc. VLDB Endow. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick
2020	J	`jnl`	Hunting multiple bumps in graphs. Proc. VLDB Endow. Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui
2020	—	`conf`	LATTE: Visual Construction of Smart Contracts. SIGMOD Conference Sean Tan, Sourav S. Bhowmick, Huey-Eng Chua, Xiaokui Xiao
2020	—	`conf`	Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy. Privacy and Identity Management Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao
2020	J	`jnl`	MOTS: Minimax Optimal Thompson Sampling. CoRR Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu
2020	B	`conf`	Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy. IWCMC Héber Hwang Arcolezi, Jean-François Couchot, Oumaya Baala, Jean-Michel Contet, Bechara al Bouna, Xiaokui Xiao
2020	J	`jnl`	Privacy Preserving Vertical Federated Learning for Tree-based Models. CoRR Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
2020	J	`jnl`	Privacy Preserving Vertical Federated Learning for Tree-based Models. Proc. VLDB Endow. Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen, Beng Chin Ooi
2020	J	`jnl`	ROAM: A Fundamental Routing Query on Road Networks with Efficiency. IEEE Trans. Knowl. Data Eng. Siqiang Luo, Reynold Cheng, Ben Kao, Xiaokui Xiao, Shuigeng Zhou, Jiafeng Hu
2020	J	`jnl`	Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. CoRR Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020	J	`jnl`	Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs. Proc. VLDB Endow. Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang
2020	J	`jnl`	Scaling Attributed Network Embedding to Massive Graphs. CoRR Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020	J	`jnl`	Scaling Attributed Network Embedding to Massive Graphs. Proc. VLDB Endow. Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
2020	J	`jnl`	The Disruptions of 5G on Data-Driven Technologies and Applications. IEEE Trans. Knowl. Data Eng. 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
2020	A*	`conf`	Towards Locally Differentially Private Generic Graph Metric Estimation. ICDE Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2019	B	`ed.`	ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019 ASONAM Francesca Spezzano, Wei Chen, Xiaokui Xiao
2019	A*	`conf`	An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases. ICDE Chaohui Wang, Miao Xie, Sourav S. Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou
2019	A*	`conf`	Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy. CCS Haipei Sun, Xiaokui Xiao, Issa Khalil, Yin Yang, Zhan Qin, Wendy Hui Wang, Ting Yu
2019	A*	`conf`	Collecting and Analyzing Multidimensional Data with Local Differential Privacy. ICDE Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu
2019	J	`jnl`	Collecting and Analyzing Multidimensional Data with Local Differential Privacy. CoRR Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu
2019	A*	`conf`	Community Detection on Large Complex Attribute Network. KDD Zhe Chen, Aixin Sun, Xiaokui Xiao
2019	J	`jnl`	Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. CoRR Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
2019	J	`jnl`	Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. ACM Trans. Database Syst. Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
2019	—	`conf`	Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
2019	J	`jnl`	Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
2019	J	`jnl`	Efficient Approximation Algorithms for Adaptive Target Profit Maximization. CoRR Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim
2019	A*	`conf`	Efficient Batch One-Hop Personalized PageRanks. ICDE Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao
2019	—	`conf`	Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019	J	`jnl`	Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019	A*	`conf`	Efficient Pure Exploration in Adaptive Round model. NeurIPS Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen
2019	J	`jnl`	Efficient and Effective Algorithms for Clustering Uncertain Graphs. Proc. VLDB Endow. Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang
2019	J	`jnl`	Homogeneous Network Embedding for Massive Graphs via Personalized PageRank. CoRR Renchi Yang, Jieming Shi, Xiaokui Xiao, Sourav S. Bhowmick, Yin Yang
2019	J	`jnl`	Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2019	J	`jnl`	Organizing an Influential Social Event Under a Budget Constraint. IEEE Trans. Knowl. Data Eng. Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo
2019	—	`conf`	PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen
2019	J	`jnl`	PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. CoRR Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen
2019	A	`conf`	Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. CIKM Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick
2019	J	`jnl`	Realtime Top-k Personalized PageRank over Large Graphs on GPUs. Proc. VLDB Endow. Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang
2019	J	`jnl`	The Disruptions of 5G on Data-driven Technologies and Applications. CoRR 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
2018	—	`conf`	A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data. ISC2 Xi Lin, Xiaokui Xiao, Zengxiang Li
2018	A*	`conf`	Budget-Constrained Organization of Influential Social Events. ICDE Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo
2018	J	`jnl`	DANTE: Data and Information Management Research at Nanyang Technological University. SIGMOD Rec. Sourav S. Bhowmick, Xiaokui Xiao
2018	J	`jnl`	Efficient Algorithms for Adaptive Influence Maximization. Proc. VLDB Endow. Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang
2018	A*	`conf`	Efficient Signed Clique Search in Signed Networks. ICDE Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao
2018	J	`jnl`	GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2018	A	`conf`	Influence Maximization in Online Social Networks. WSDM Çigdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao
2018	—	`conf`	Maximizing Social Influence for the Awareness Threshold Model. DASFAA (1) Haiqi Sun, Reynold Cheng, Xiaokui Xiao, Jing Yan, Yudian Zheng, Yuqiu Qian
2018	J	`jnl`	Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2018	—	`conf`	Online Processing Algorithms for Influence Maximization. SIGMOD Conference Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan
2018	J	`jnl`	Optimal algorithms for selecting top-k combinations of attributes: theory and applications. VLDB J. Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao
2018	J	`jnl`	PTRider: A Price-and-Time-Aware Ridesharing System. Proc. VLDB Endow. Lu Chen, Yunjun Gao, Zixian Liu, Xiaokui Xiao, Christian S. Jensen, Yifan Zhu
2018	J	`jnl`	Persisting RB-Tree into NVM in a Consistency Perspective. ACM Trans. Storage Chundong Wang, Qingsong Wei, Lingkun Wu, Sibo Wang, Cheng Chen, Xiaokui Xiao, Jun Yang, Mingdi Xue, Yechao Yang
2018	A*	`conf`	Price-and-Time-Aware Dynamic Ridesharing. ICDE Lu Chen, Qilu Zhong, Xiaokui Xiao, Yunjun Gao, Pengfei Jin, Christian S. Jensen
2018	A*	`conf`	PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. ICDE Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu
2018	J	`jnl`	Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Hyejin Shin, Sungwook Kim, Junbum Shin, Xiaokui Xiao
2018	J	`jnl`	Privacy-preserving Stochastic Gradual Learning. CoRR Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
2018	—	`conf`	Skyline Community Search in Multi-valued Networks. SIGMOD Conference Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng
2018	—	`conf`	TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen
2017	J	`jnl`	Cost-Effective Seed Selection in Online Social Networks. CoRR Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang
2017	A*	`conf`	Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao
2017	Misc	`ed.`	Databases Theory and Applications - 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25-28, 2017, Proceedings ADC Zi Huang, Xiaokui Xiao, Xin Cao
2017	J	`jnl`	Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. Knowl. Inf. Syst. Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka
2017	A*	`conf`	FORA: Simple and Effective Approximate Single-Source Personalized PageRank. KDD Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang
2017	A*	`conf`	Generating Synthetic Decentralized Social Graphs with Local Differential Privacy. CCS Zhan Qin, Ting Yu, Yin Yang, Issa Khalil, Xiaokui Xiao, Kui Ren
2017	C	`conf`	GraphH: High Performance Big Graph Analytics in Small Clusters. CLUSTER Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	J	`jnl`	GraphH: High Performance Big Graph Analytics in Small Clusters. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	B	`conf`	GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. ICPADS Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	J	`jnl`	GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	J	`jnl`	Network Motif Discovery: A GPU Approach. IEEE Trans. Knowl. Data Eng. Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2017	—	`ch.`	Optimal Location Queries on Road Networks. Encyclopedia of GIS Xiaokui Xiao
2017	J	`jnl`	PrivBayes: Private Data Release via Bayesian Networks. ACM Trans. Database Syst. Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao
2017	A*	`conf`	PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy. ICDE Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu
2017	J	`jnl`	ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. CoRR Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu
2017	J	`jnl`	ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. Proc. VLDB Endow. Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu
2017	J	`jnl`	Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study". CoRR Wei Lu, Xiaokui Xiao, Amit Goyal, Keke Huang, Laks V. S. Lakshmanan
2017	J	`jnl`	Revisiting the Stop-and-Stare Algorithms for Influence Maximization. Proc. VLDB Endow. Keke Huang, Sibo Wang, Glenn S. Bevilacqua, Xiaokui Xiao, Laks V. S. Lakshmanan
2016	J	`jnl`	Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy. CoRR Thông T. Nguyên, Xiaokui Xiao, Yin Yang, Siu Cheung Hui, Hyejin Shin, Junbum Shin
2016	J	`jnl`	Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks. Proc. VLDB Endow. Sibo Wang, Xiaokui Xiao, Yin Yang, Wenqing Lin
2016	A*	`conf`	Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy. CCS Zhan Qin, Yin Yang, Ting Yu, Issa Khalil, Xiaokui Xiao, Kui Ren
2016	J	`jnl`	HubPPR: Effective Indexing for Approximate Personalized PageRank. Proc. VLDB Endow. Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, Zengxiang Li
2016	A*	`conf`	Keyword-aware continuous kNN query on road networks. ICDE Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, Guohui Li
2016	A	`conf`	Mobile App Tagging. WSDM Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao
2016	A*	`conf`	Practical private shortest path computation based on Oblivious Storage. ICDE Dong Xie, Guanru Li, Bin Yao, Xuan Wei, Xiaokui Xiao, Yunjun Gao, Minyi Guo
2016	—	`conf`	PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. SIGMOD Conference Jun Zhang, Xiaokui Xiao, Xing Xie
2016	J	`jnl`	PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. CoRR Jun Zhang, Xiaokui Xiao, Xing Xie
2016	A*	`conf`	Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. EMNLP Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao
2016	J	`jnl`	Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. CoRR Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao
2016	—	`conf`	SLING: A Near-Optimal Index Structure for SimRank. SIGMOD Conference Boyu Tian, Xiaokui Xiao
2016	J	`jnl`	SLING: A Near-Optimal Index Structure for SimRank. CoRR Boyu Tian, Xiaokui Xiao
2015	J	`jnl`	Boosting the Quality of Approximate String Matching by Synonyms. ACM Trans. Database Syst. Jiaheng Lu, Chunbin Lin, Wei Wang, Chen Li, Xiaokui Xiao
2015	—	`conf`	Crowd-Based Deduplication: An Adaptive Approach. SIGMOD Conference Sibo Wang, Xiaokui Xiao, Chun-Hee Lee
2015	J	`jnl`	Deterministic identification of specific individuals from GWAS results. Bioinform. Ruichu Cai, Zhifeng Hao, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Shuigeng Zhou
2015	—	`conf`	Efficient Route Planning on Public Transportation Networks: A Labelling Approach. SIGMOD Conference Sibo Wang, Wenqing Lin, Yi Yang, Xiaokui Xiao, Shuigeng Zhou
2015	—	`conf`	Influence Maximization in Near-Linear Time: A Martingale Approach. SIGMOD Conference Youze Tang, Yanchen Shi, Xiaokui Xiao
2015	A*	`conf`	Network motif discovery: A GPU approach. ICDE Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2015	J	`jnl`	Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2015	J	`jnl`	Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2015	—	`conf`	Private Release of Graph Statistics using Ladder Functions. SIGMOD Conference Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao
2015	A	`conf`	SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning. WSDM Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao
2015	J	`jnl`	Towards Maximum Independent Sets on Massive Graphs. Proc. VLDB Endow. Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei
2015	—	`ed.`	Web-Age Information Management - WAIM 2015 International Workshops: HENA, HRSUNE, Qingdao, China, June 8-10, 2015, Revised Selected Papers WAIM Workshops Xiaokui Xiao, Zhenjie Zhang
2014	A*	`conf`	AR-miner: mining informative reviews for developers from mobile app marketplace. ICSE Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang
2014	C	`conf`	Differentially Private Data Release: Improving Utility with Wavelets and Bayesian Networks. APWeb Xiaokui Xiao
2014	J	`jnl`	Differentially Private Event Sequences over Infinite Streams. Proc. VLDB Endow. Georgios Kellaris, Stavros Papadopoulos, Xiaokui Xiao, Dimitris Papadias
2014	J	`jnl`	Dynamic monitoring of optimal locations in road network databases. VLDB J. Bin Yao, Xiaokui Xiao, Feifei Li, Yifan Wu
2014	J	`jnl`	Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency. CoRR Youze Tang, Xiaokui Xiao, Yanchen Shi
2014	—	`conf`	Influence maximization: near-optimal time complexity meets practical efficiency. SIGMOD Conference Youze Tang, Xiaokui Xiao, Yanchen Shi
2014	A*	`conf`	Large-scale frequent subgraph mining in MapReduce. ICDE Wenqing Lin, Xiaokui Xiao, Gabriel Ghinita
2014	—	`conf`	PrivBayes: private data release via bayesian networks. SIGMOD Conference Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao
2014	—	`conf`	Reachability queries on large dynamic graphs: a total order approach. SIGMOD Conference Andy Diwen Zhu, Wenqing Lin, Sibo Wang, Xiaokui Xiao
2014	J	`jnl`	Software process evaluation: a machine learning framework with application to defect management process. Empir. Softw. Eng. Ning Chen, Steven C. H. Hoi, Xiaokui Xiao
2013	J	`jnl`	Differentially private histogram publication. VLDB J. Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu, Marianne Winslett
2013	J	`jnl`	Efficient Single-Source Shortest Path and Distance Queries on Large Graphs. CoRR Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin
2013	A*	`conf`	Efficient single-source shortest path and distance queries on large graphs. KDD Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin
2013	A*	`conf`	KORS: Keyword-aware Optimal Route Search System. ICDE Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao
2013	A*	`conf`	LSII: An indexing structure for exact real-time search on microblogs. ICDE Lingkun Wu, Wenqing Lin, Xiaokui Xiao, Yabo Xu
2013	—	`conf`	Minimal MapReduce algorithms. SIGMOD Conference Yufei Tao, Wenqing Lin, Xiaokui Xiao
2013	—	`conf`	PrivGene: differentially private model fitting using genetic algorithms. SIGMOD Conference Jun Zhang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Marianne Winslett
2013	A*	`conf`	Secure nearest neighbor revisited. ICDE Bin Yao, Feifei Li, Xiaokui Xiao
2013	J	`jnl`	Shortest Path and Distance Queries on Road Networks: Towards Bridging Theory and Practice CoRR Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou
2013	—	`conf`	Shortest path and distance queries on road networks: towards bridging theory and practice. SIGMOD Conference Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou
2012	—	`conf`	An efficient algorithm for mapping vehicle trajectories onto road networks. SIGSPATIAL/GIS Youze Tang, Andy Diwen Zhu, Xiaokui Xiao
2012	—	`conf`	Differential privacy in data publication and analysis. SIGMOD Conference Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao
2012	A*	`conf`	Differentially Private Histogram Publication. ICDE Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu
2012	A	`conf`	Efficient algorithms for generalized subgraph query processing. CIKM Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S. Bhowmick
2012	J	`jnl`	Functional Mechanism: Regression Analysis under Differential Privacy CoRR Jun Zhang, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Marianne Winslett
2012	J	`jnl`	Functional Mechanism: Regression Analysis under Differential Privacy. Proc. VLDB Endow. Jun Zhang, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Marianne Winslett
2012	J	`jnl`	Keyword-aware Optimal Route Search CoRR Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao
2012	J	`jnl`	Keyword-aware Optimal Route Search. Proc. VLDB Endow. Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao
2012	J	`jnl`	Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. Proc. VLDB Endow. Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	A*	`conf`	Obfuscating the Topical Intention in Enterprise Text Search. ICDE HweeHwa Pang, Xiaokui Xiao, Jialie Shen
2012	J	`jnl`	Publishing Search Logs - A Comparative Study of Privacy Guarantees. IEEE Trans. Knowl. Data Eng. Michaela Götz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke
2012	J	`jnl`	Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation CoRR Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou
2012	J	`jnl`	Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation. Proc. VLDB Endow. Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou
2011	J	`jnl`	Differential Privacy via Wavelet Transforms. IEEE Trans. Knowl. Data Eng. Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
2011	—	`conf`	GBLENDER: visual subgraph query formulation meets query processing. SIGMOD Conference Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, Byron Choi, Shuigeng Zhou
2011	—	`ch.`	M-Invariance. Encyclopedia of Cryptography and Security (2nd Ed.) Xiaokui Xiao
2011	A*	`conf`	Optimal location queries in road network databases. ICDE Xiaokui Xiao, Bin Yao, Feifei Li
2011	A*	`conf`	Software process evaluation: A machine learning approach. ASE Ning Chen, Steven C. H. Hoi, Xiaokui Xiao
2011	—	`conf`	iReduct: differential privacy with reduced relative errors. SIGMOD Conference Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke
2010	A*	`conf`	Correlation hiding by independence masking. ICDE Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke Yi, Zhengzheng Xing
2010	A*	`conf`	Differential privacy via wavelet transforms. ICDE Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
2010	J	`jnl`	Embellishing Text Search Queries To Protect User Privacy. Proc. VLDB Endow. HweeHwa Pang, Xuhua Ding, Xiaokui Xiao
2010	—	`conf`	GBLENDER: towards blending visual query formulation and query processing in graph databases. SIGMOD Conference Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, James Cheng, Byron Choi
2010	J	`jnl`	Superseding Nearest Neighbor Search on Uncertain Spatial Databases. IEEE Trans. Knowl. Data Eng. Sze Man Yuen, Yufei Tao, Xiaokui Xiao, Jian Pei, Donghui Zhang
2010	B	`conf`	The hardness and approximation algorithms for l-diversity. EDBT Xiaokui Xiao, Ke Yi, Yufei Tao
2010	J	`jnl`	Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm CoRR Xiaokui Xiao, Yufei Tao, Nick Koudas
2010	J	`jnl`	Transparent anonymization: Thwarting adversaries who know the algorithm. ACM Trans. Database Syst. Xiaokui Xiao, Yufei Tao, Nick Koudas
2009	J	`jnl`	ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication. IEEE Trans. Knowl. Data Eng. Yufei Tao, Hekang Chen, Xiaokui Xiao, Shuigeng Zhou, Donghui Zhang
2009	J	`jnl`	Differential Privacy via Wavelet Transforms CoRR Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
2009	—	`conf`	Interactive anonymization of sensitive data. SIGMOD Conference Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
2009	J	`jnl`	Optimal Random Perturbation at Multiple Privacy Levels. Proc. VLDB Endow. Xiaokui Xiao, Yufei Tao, Minghua Chen
2009	A*	`conf`	Privacy Preserving Publishing on Multiple Quasi-identifiers. ICDE Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao
2009	J	`jnl`	Privacy in Search Logs CoRR Michaela Götz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke
2009	J	`jnl`	The Hardness and Approximation Algorithms for L-Diversity CoRR Xiaokui Xiao, Ke Yi, Yufei Tao
2008	—	`conf`	Dynamic anonymization: accurate statistical analysis with privacy preservation. SIGMOD Conference Xiaokui Xiao, Yufei Tao
2008	J	`jnl`	Efficient temporal counting with bounded error. VLDB J. Yufei Tao, Xiaokui Xiao
2008	A*	`conf`	On Anti-Corruption Privacy Preserving Publication. ICDE Yufei Tao, Xiaokui Xiao, Jiexing Li, Donghui Zhang
2008	J	`jnl`	Output perturbation with query relaxation. Proc. VLDB Endow. Xiaokui Xiao, Yufei Tao
2008	—	`ch.`	Personalized Privacy Preservation. Privacy-Preserving Data Mining Yufei Tao, Xiaokui Xiao
2008	—	`conf`	Preservation of proximity privacy in publishing numerical sensitive data. SIGMOD Conference Jiexing Li, Yufei Tao, Xiaokui Xiao
2008	J	`jnl`	Primal or dual: which promises faster spatiotemporal search? VLDB J. Yufei Tao, Xiaokui Xiao
2007	J	`jnl`	Efficient Skyline and Top-k Retrieval in Subspaces. IEEE Trans. Knowl. Data Eng. Yufei Tao, Xiaokui Xiao, Jian Pei
2007	—	`conf`	M-invariance: towards privacy preserving re-publication of dynamic datasets. SIGMOD Conference Xiaokui Xiao, Yufei Tao
2007	J	`jnl`	Multidimensional reverse VLDB J. Yufei Tao, Dimitris Papadias, Xiang Lian, Xiaokui Xiao
2007	A*	`conf`	On Efficient Spatial Matching. VLDB Raymond Chi-Wing Wong, Yufei Tao, Ada Wai-Chee Fu, Xiaokui Xiao
2007	J	`jnl`	Range search on multidimensional uncertain data. ACM Trans. Database Syst. Yufei Tao, Xiaokui Xiao, Reynold Cheng
2006	A*	`conf`	Anatomy: Simple and Effective Privacy Preservation. VLDB Xiaokui Xiao, Yufei Tao
2006	A*	`conf`	Mining distance-based outliers from large databases in any metric space. KDD Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
2006	—	`conf`	Personalized privacy preservation. SIGMOD Conference Xiaokui Xiao, Yufei Tao
2006	A*	`conf`	SUBSKY: Efficient Computation of Skylines in Subspaces. ICDE Yufei Tao, Xiaokui Xiao, Jian Pei
2005	A*	`conf`	Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions. VLDB Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay Ngai, Ben Kao, Sunil Prabhakar
2004	C	`conf`	Detail-Preserving Approach for Impulse Noise Removal from Images. CIT Xiaokui Xiao, Shaofa Li