| 2026 | ICDE | Accurate Table Question Answering with Accessible LLMs. | Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao |
| 2026 | WWW | Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory. | Zhaofeng Li, Chen Xu, Xinyu Lin, Wenjie Wang, Xiaokui Xiao |
| 2026 | WWW | SaGD: A Node-Level Differentially Private Graph Learning Framework with Sensitivity-Aware Gradient Descent. | Jianxin Wei, Ergute Bao, Xiaokui Xiao, Ting Yu |
| 2026 | SP | Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks. | Rishav Chourasia, Ergute Bao, Uzair Javaid, Xiaokui Xiao |
| 2025 | AAAI | Hyperparametric Robust and Dynamic Influence Maximization. | Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan |
| 2025 | CCS | Prompt Inference Attack on Distributed Large Language Model Inference Frameworks. | Xinjian Luo, Ting Yu, Xiaokui Xiao |
| 2025 | CIKM | GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. | Hewen Wang, Renchi Yang, Xiaokui Xiao |
| 2025 | ICDE | Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy. | Ergute Bao, Fei Wei, Yin Yang, Xiaokui Xiao, Tianyu Pang, Chao Du |
| 2025 | ICDE | GCON: Differentially Private Graph Convolutional Network via Objective Perturbation. | Jianxin Wei, Yizheng Zhu, Xiaokui Xiao, Ergute Bao, Yin Yang, Kuntai Cai, Beng Chin Ooi |
| 2025 | ICPP | TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks. | Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Chencan Wu, Yong Li, Xiaokui Xiao, Wei Lin, Jialin Li |
| 2025 | KDD | KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG. | Yiqian Huang, Shiqi Zhang, Xiaokui Xiao |
| 2025 | KDD | A Framework for Evaluating AI Agents in Open-Ended Conversations via Scripted Simulation. | Clarice Wang, Yimin Shi, Xiaokui Xiao |
| 2025 | KDD | Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking. | Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan |
| 2025 | NDSS | Passive Inference Attacks on Split Learning via Adversarial Regularization. | Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi |
| 2025 | SIGIR | You Are What You Bought: Generating Customer Personas for E-commerce Applications. | Yimin Shi, Yang Fei, Shiqi Zhang, Haixun Wang, Xiaokui Xiao |
| 2025 | SIGMOD | Advances in Designing Scalable Graph Neural Networks: The Perspective of Graph Data Management. | Ningyi Liao, Siqiang Luo, Xiaokui Xiao, Reynold Cheng |
| 2025 | SP | From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. | Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu |
| 2024 | AsiaCCS | Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy. | Chaojie Lv, Xiaokui Xiao, Lan Zhang, Ting Yu |
| 2024 | DASFAA | EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. | Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao |
| 2024 | ICDE | Graph Computation with Adaptive Granularity. | Ruiqi Xu, Yue Wang, Xiaokui Xiao |
| 2024 | ICLR | Scalable and Effective Implicit Graph Neural Networks on Large Graphs. | Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao |
| 2024 | KDD | Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. | Hewen Wang, Renchi Yang, Xiaokui Xiao |
| 2024 | KDD | Predicting Cascading Failures with a Hyperparametric Diffusion Model. | Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan |
| 2024 | WWW | Information Diffusion Meets Invitation Mechanism. | Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang |
| 2024 | WWW | Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. | Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Li |
| 2024 | WWW | Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. | Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao |
| 2024 | SP | Protecting Label Distribution in Cross-Silo Federated Learning. | Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi |
| 2023 | CCS | Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation. | Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao |
| 2023 | EDBT | Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights. | Siqiang Luo, Zichen Zhu, Xiaokui Xiao, Yin Yang, Chunbo Li, Ben Kao |
| 2023 | ICDE | The Metaverse Data Deluge: What Can We Do About It? | 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 | ICML | Thompson Sampling with Less Exploration is Fast and Optimal. | Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu |
| 2023 | KDD | Capacity Constrained Influence Maximization in Social Networks. | Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang |
| 2023 | KDD | Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. | Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li |
| 2023 | KDD | Efficient and Effective Edge-wise Graph Representation Learning. | Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao |
| 2023 | KDD | Efficient Approximation Algorithms for Spanning Centrality. | Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang |
| 2023 | WWW | Node-wise Diffusion for Scalable Graph Learning. | Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao |
| 2022 | AAAI | A Fusion-Denoising Attack on InstaHide with Data Augmentation. | Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi |
| 2022 | CCS | DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling. | Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang |
| 2022 | CCS | Feature Inference Attack on Shapley Values. | Xinjian Luo, Yangfan Jiang, Xiaokui Xiao |
| 2022 | CIKM | Measuring Friendship Closeness: A Perspective of Social Identity Theory. | Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang |
| 2022 | ICDE | VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. | Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han |
| 2022 | NAACL | Dangling-Aware Entity Alignment with Mixed High-Order Proximities. | Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen |
| 2022 | SIGMOD | Scalable and Effective Bipartite Network Embedding. | Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao |
| 2021 | CIKM | Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. | Hber Hwang Arcolezi, Jean-Franois Couchot, Bechara al Bouna, Xiaokui Xiao |
| 2021 | COLT | Double Explore-then-Commit: Asymptotic Optimality and Beyond. | Tianyuan Jin, Pan Xu, Xiaokui Xiao, Quanquan Gu |
| 2021 | ICCV | Exploiting Explanations for Model Inversion Attacks. | Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim |
| 2021 | ICDE | Feature Inference Attack on Model Predictions in Vertical Federated Learning. | Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi |
| 2021 | ICML | MOTS: Minimax Optimal Thompson Sampling. | Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu |
| 2021 | ICML | Optimal Streaming Algorithms for Multi-Armed Bandits. | Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao |
| 2021 | ICML | Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits. | Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu |
| 2021 | WWW | Effective and Scalable Clustering on Massive Attributed Graphs. | Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao |
| 2021 | WISE | Fast Approximate All Pairwise CoSimRanks via Random Projection. | Renchi Yang, Xiaokui Xiao |
| 2020 | ICDE | Efficient Approximation Algorithms for Adaptive Target Profit Maximization. | Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim |
| 2020 | ICDE | Towards Locally Differentially Private Generic Graph Metric Estimation. | Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao |
| 2020 | IWCMC | Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy. | Hber Hwang Arcolezi, Jean-Franois Couchot, Oumaya Baala, Jean-Michel Contet, Bechara al Bouna, Xiaokui Xiao |
| 2020 | SIGMOD | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. | Wentian Guo, Yuchen Li, Mo Sha, Bingsheng He, Xiaokui Xiao, Kian-Lee Tan |
| 2020 | SIGMOD | LATTE: Visual Construction of Smart Contracts. | Sean Tan, Sourav S. Bhowmick, Huey-Eng Chua, Xiaokui Xiao |
| 2020 | SIGMOD | Analysis of Indexing Structures for Immutable Data. | Cong Yue, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Sheng Wang, Xiaokui Xiao |
| 2019 | CCS | Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy. | Haipei Sun, Xiaokui Xiao, Issa Khalil, Yin Yang, Zhan Qin, Wendy Hui Wang, Ting Yu |
| 2019 | CIKM | Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. | Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick |
| 2019 | ICDE | Efficient Batch One-Hop Personalized PageRanks. | Siqiang Luo, Xiaokui Xiao, Wenqing Lin, Ben Kao |
| 2019 | ICDE | An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases. | Chaohui Wang, Miao Xie, Sourav S. Bhowmick, Byron Choi, Xiaokui Xiao, Shuigeng Zhou |
| 2019 | ICDE | Collecting and Analyzing Multidimensional Data with Local Differential Privacy. | Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu |
| 2019 | KDD | Community Detection on Large Complex Attribute Network. | Zhe Chen, Aixin Sun, Xiaokui Xiao |
| 2019 | SIGMOD | Efficient Approximation Algorithms for Adaptive Seed Minimization. | Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim |
| 2019 | SIGMOD | PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen |
| 2019 | SIGMOD | Efficient Estimation of Heat Kernel PageRank for Local Clustering. | Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li |
| 2018 | DASFAA | Maximizing Social Influence for the Awareness Threshold Model. | Haiqi Sun, Reynold Cheng, Xiaokui Xiao, Jing Yan, Yudian Zheng, Yuqiu Qian |
| 2018 | ICDE | Price-and-Time-Aware Dynamic Ridesharing. | Lu Chen, Qilu Zhong, Xiaokui Xiao, Yunjun Gao, Pengfei Jin, Christian S. Jensen |
| 2018 | ICDE | Budget-Constrained Organization of Influential Social Events. | Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo |
| 2018 | ICDE | Efficient Signed Clique Search in Signed Networks. | Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao |
| 2018 | ICDE | PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. | Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu |
| 2018 | SIGMOD | Skyline Community Search in Multi-valued Networks. | Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng |
| 2018 | SIGMOD | Online Processing Algorithms for Influence Maximization. | Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan |
| 2018 | SIGMOD | TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen |
| 2018 | WSDM | Influence Maximization in Online Social Networks. | igdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao |
| 2017 | AAAI | Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2017 | CCS | Generating Synthetic Decentralized Social Graphs with Local Differential Privacy. | Zhan Qin, Ting Yu, Yin Yang, Issa Khalil, Xiaokui Xiao, Kui Ren |
| 2017 | CLUSTER | GraphH: High Performance Big Graph Analytics in Small Clusters. | Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao |
| 2017 | ICDE | PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy. | Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu |
| 2017 | ICPADS | GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. | Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao |
| 2017 | KDD | FORA: Simple and Effective Approximate Single-Source Personalized PageRank. | Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang |
| 2016 | CCS | Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy. | Zhan Qin, Yin Yang, Ting Yu, Issa Khalil, Xiaokui Xiao, Kui Ren |
| 2016 | EMNLP | Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. | Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao |
| 2016 | ICDE | Practical private shortest path computation based on Oblivious Storage. | Dong Xie, Guanru Li, Bin Yao, Xuan Wei, Xiaokui Xiao, Yunjun Gao, Minyi Guo |
| 2016 | ICDE | Keyword-aware continuous kNN query on road networks. | Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, GuoHui Li |
| 2016 | SIGMOD | SLING: A Near-Optimal Index Structure for SimRank. | Boyu Tian, Xiaokui Xiao |
| 2016 | SIGMOD | PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. | Jun Zhang, Xiaokui Xiao, Xing Xie |
| 2016 | WSDM | Mobile App Tagging. | Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao |
| 2015 | ICDE | Network motif discovery: A GPU approach. | Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li |
| 2015 | SIGMOD | Influence Maximization in Near-Linear Time: A Martingale Approach. | Youze Tang, Yanchen Shi, Xiaokui Xiao |
| 2015 | SIGMOD | Efficient Route Planning on Public Transportation Networks: A Labelling Approach. | Sibo Wang, Wenqing Lin, Yi Yang, Xiaokui Xiao, Shuigeng Zhou |
| 2015 | SIGMOD | Crowd-Based Deduplication: An Adaptive Approach. | Sibo Wang, Xiaokui Xiao, Chun-Hee Lee |
| 2015 | SIGMOD | Private Release of Graph Statistics using Ladder Functions. | Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao |
| 2015 | WSDM | SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning. | Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao |
| 2014 | APWEB | Differentially Private Data Release: Improving Utility with Wavelets and Bayesian Networks. | Xiaokui Xiao |
| 2014 | ICDE | Large-scale frequent subgraph mining in MapReduce. | Wenqing Lin, Xiaokui Xiao, Gabriel Ghinita |
| 2014 | ICSE | AR-miner: mining informative reviews for developers from mobile app marketplace. | Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang |
| 2014 | SIGMOD | Influence maximization: near-optimal time complexity meets practical efficiency. | Youze Tang, Xiaokui Xiao, Yanchen Shi |
| 2014 | SIGMOD | PrivBayes: private data release via bayesian networks. | Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao |
| 2014 | SIGMOD | Reachability queries on large dynamic graphs: a total order approach. | Andy Diwen Zhu, Wenqing Lin, Sibo Wang, Xiaokui Xiao |
| 2013 | ICDE | Secure nearest neighbor revisited. | Bin Yao, Feifei Li, Xiaokui Xiao |
| 2013 | ICDE | KORS: Keyword-aware Optimal Route Search System. | Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao |
| 2013 | ICDE | LSII: An indexing structure for exact real-time search on microblogs. | Lingkun Wu, Wenqing Lin, Xiaokui Xiao, Yabo Xu |
| 2013 | KDD | Efficient single-source shortest path and distance queries on large graphs. | Andy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin |
| 2013 | SIGMOD | Minimal MapReduce algorithms. | Yufei Tao, Wenqing Lin, Xiaokui Xiao |
| 2013 | SIGMOD | PrivGene: differentially private model fitting using genetic algorithms. | Jun Zhang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Marianne Winslett |
| 2013 | SIGMOD | Shortest path and distance queries on road networks: towards bridging theory and practice. | Andy Diwen Zhu, Hui Ma, Xiaokui Xiao, Siqiang Luo, Youze Tang, Shuigeng Zhou |
| 2012 | CIKM | Efficient algorithms for generalized subgraph query processing. | Wenqing Lin, Xiaokui Xiao, James Cheng, Sourav S. Bhowmick |
| 2012 | ICDE | Obfuscating the Topical Intention in Enterprise Text Search. | HweeHwa Pang, Xiaokui Xiao, Jialie Shen |
| 2012 | ICDE | Differentially Private Histogram Publication. | Jia Xu, Zhenjie Zhang, Xiaokui Xiao, Yin Yang, Ge Yu |
| 2012 | SIGMOD | Differential privacy in data publication and analysis. | Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao |
| 2011 | ICDE | Optimal location queries in road network databases. | Xiaokui Xiao, Bin Yao, Feifei Li |
| 2011 | SIGMOD | GBLENDER: visual subgraph query formulation meets query processing. | Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, Byron Choi, Shuigeng Zhou |
| 2011 | SIGMOD | iReduct: differential privacy with reduced relative errors. | Xiaokui Xiao, Gabriel Bender, Michael Hay, Johannes Gehrke |
| 2010 | EDBT | The hardness and approximation algorithms for l-diversity. | Xiaokui Xiao, Ke Yi, Yufei Tao |
| 2010 | ICDE | Correlation hiding by independence masking. | Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke Yi, Zhengzheng Xing |
| 2010 | ICDE | Differential privacy via wavelet transforms. | Xiaokui Xiao, Guozhang Wang, Johannes Gehrke |
| 2010 | SIGMOD | GBLENDER: towards blending visual query formulation and query processing in graph databases. | Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, James Cheng, Byron Choi |
| 2009 | ICDE | Privacy Preserving Publishing on Multiple Quasi-identifiers. | Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao |
| 2009 | SIGMOD | Interactive anonymization of sensitive data. | Xiaokui Xiao, Guozhang Wang, Johannes Gehrke |
| 2008 | ICDE | On Anti-Corruption Privacy Preserving Publication. | Yufei Tao, Xiaokui Xiao, Jiexing Li, Donghui Zhang |
| 2008 | SIGMOD | Preservation of proximity privacy in publishing numerical sensitive data. | Jiexing Li, Yufei Tao, Xiaokui Xiao |
| 2008 | SIGMOD | Dynamic anonymization: accurate statistical analysis with privacy preservation. | Xiaokui Xiao, Yufei Tao |
| 2007 | SIGMOD | M-invariance: towards privacy preserving re-publication of dynamic datasets. | Xiaokui Xiao, Yufei Tao |
| 2007 | VLDB | On Efficient Spatial Matching. | Raymond Chi-Wing Wong, Yufei Tao, Ada Wai-Chee Fu, Xiaokui Xiao |
| 2006 | ICDE | SUBSKY: Efficient Computation of Skylines in Subspaces. | Yufei Tao, Xiaokui Xiao, Jian Pei |
| 2006 | KDD | Mining distance-based outliers from large databases in any metric space. | Yufei Tao, Xiaokui Xiao, Shuigeng Zhou |
| 2006 | SIGMOD | Personalized privacy preservation. | Xiaokui Xiao, Yufei Tao |
| 2006 | VLDB | Anatomy: Simple and Effective Privacy Preservation. | Xiaokui Xiao, Yufei Tao |
| 2005 | VLDB | Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions. | Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay Ngai, Ben Kao, Sunil Prabhakar |