Haocheng Xia, Xiang Li, Junyuan Pang, Jinfei Liu, Kui Ren, Li Xiong. P-Shapley: Shapley Values on Probabilistic Classifiers, PVLDB 2024
Jinfei Liu, Yuran Bi, Chen Zhao, Junyi Zhao, Kui Ren, Li Xiong. Share: Stackelberg-Nash based Data Markets, ICDE 2024
Jinfei Liu, Yuran Bi, Yihang Wu, Kui Ren, Li Xiong. When Data Pricing Meets Non-cooperative Game Theory, ICDE 2024
Qiuchen Zhang, Hong kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong. DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW, 2024 [ pdf ] [ GitHub ]
Haowen Lin, Yao-Yi Chang, Li Xiong, Cyrus Shahabi. Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes. SDM, 2024 [ pdf ]
Mokbel, Sakr, Xiong, Zufle et al. Mobility Data Science: Perspectives and Challenges. ACM Transactions on Spatial Algorithms and Systems (TSAS), 2024 [ pdf ]
Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shan, Li Xiong, Lance Waller, Yi-An Ko. IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. AAAI, 2024 [ pdf ] [ GitHub ]
Rachel Cummings, David Evans, Damien Desfontaines, Roxana Geambasu, Yangsibo Huang, Matthew Jagielski, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang. Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment. Harvard Data Science Review (HDSR), 2024 [link]
Yifei Ren, Jian Lou, Li Xiong, Joyce C Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani; MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. Proceedings of the 3rd Machine Learning for Health Symposium (ML4H), PMLR 225:498-511, 2023 [ link ] [ GitHub ]
Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa and Li Xiong. Supporting pandemic preparedness with Privacy Enhancing Technology (vision paper). IEEE International Conference on Trust, Privacy, and Security in Intelligent Systems, and Applications (TPS), 2023
Galen Harrison, Przemyslaw Porebski, Jiangzhuo Chen, Mandy Wilson, Henning Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti, Li Xiong, James Joshi, Madhav V. Marathe. Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. IEEE International Conference on Trust, Privacy, and Security in Intelligent Systems, and Applications (TPS), 2023
Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang and Jing Liu. Closed-form Machine Unlearning for Matrix Factorization. CIKM, 2023
Junxu Liu, Jian Lou, Li Xiong, Xaofeng Meng. Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM, 2023
Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin. MUter: Machine Unlearning on Adversarial Training Models. ICCV 2023
Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong. Interpretation attacks and defenses on predictive models using electronic health records. ECML, 2023 [ pdf ]
Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong. Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. PVLDB 2023
Qiheng Sun, Xiang Li, Jiayao Zhang, Li Xiong, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren. ShapleyFL: Robust Federated Learning Based on Shapley Value. SIGKDD 2023
Fereshteh Razmi, Li Xiong. Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks. DBSec 2023
Sivasubramanium Bhavani, Li Xiong, Abish Pius, Matthew Semler, Edward Qian, Philip Verhoef, Chad Robichaux, Craig Coopersmith, Matthew Churpek. Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection. JAMIA 2023
Minxing Zhang, Haowen Lin, Shun Takagi, Yang Cao, Cyrus Shahabi, Li Xiong. CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. IEEE Conference on Mobile Data Management, MDM 2023 [ pdf ]
Jiayao Zhang, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren. Efficient Sampling Approaches to Shapley Value Approximation. SIGMOD 2023
Han Xie, Li Xiong, Carl Yang. Federated Node Classification over Graphs with Latent Link-type Heterogeneity. The Web Conference, WWW 2023
Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren. Dynamic Shapley Value Computation. ICDE 2023 [pdf ] [ github ]
Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li. EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. ICDE 2023 [ pdf ]
Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen. Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. AAAI 2023 [ pdf ] [ arxiv ] [ github ]
Payam Karisani, Negin Karisani, Li Xiong. Deep Active Learning with Pretrained Language Models for Filtering Data in Microblogs. The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
Han Wang, Hanbin Hong, Li Xiong,
Zhan Qin and Yuan Hong. PrivLBS: Local Differential Privacy for Location-Based
Services with Staircase Randomized Response.
29th ACM Conference on Computer and Communications Security, CCS
2022
Farnaz Tahmasebian, Jian Lou, Li Xiong. RobustFed: A Truth
Inference Approach for Robust Federated Learning. CIKM 2022
Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta and Francoise Beaufays. Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng. Projected Federated Averaging with Heterogeneous Differential Privacy. 48th International Conference on Very Large Data Bases VLDB 2022 [ pdf ] [ github ]
Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong. Generating Adversarial Examples with Distance Constrained Adversarial Imitation Networks. IEEE Transactions on Dependable and Secure Computing (TDSC), 2021 [ pdf ] [ github ]
Han Xie, Jing Ma, Li Xiong, Carl Yang. Federated Graph Classification over Non-IID Graphs. 35th Conference on Neural Information Processing Systems (NeurIPS), 2021 [ pdf ]
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce Ho, Sivasubramanium
Bhavani. Communication Efficient Tensor Factorization for Decentralized
Healthcare Networks. ICDM 2021
T Kuo, T Bath, S Ma, N Pattengale, M Yang, Y Cao, C Hudson, J Kim, K Post, L Xiong, L Ohno-Machado. Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. International Journal of Medical Informatics (IJMI). 2021 [ pdf ] [ github ]
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce Ho. Temporal Network Embedding via Tensor
Factorization, CIKM 2021
Haowen
Lin, Jian Lou, Li Xiong, Cyrus Shahabi. Integer-arithmetic-only Certified Robustness
for Quantized Neural Networks. ICCV 2021
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong. Private Stochastic Nonconvex Optimization with
Better Utility Rates. 30th International Joint Conference on Artificial
Intelligence (IJCAI), 2021
Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun. Dealer: An End-to-End Model Marketplace with Differential Privacy. 47th International Conference on Very Large Data Bases (VLDB), 2021 [ pdf ]
Jinfei
Liu, Qiongqiong Lin, Jiayao
Zhang, Kui Ren, Jian Lou, Junxu
Liu, Li Xiong, Jian Pei, Jimeng
Sun. Demonstration of Dealer: An End-to-End Model Marketplace with Differential
Privacy (demo track). 47th International
Conference on Very Large Data Bases (VLDB), 2021
Rongmei Lin, Xiang He, Jie
Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong. PAM: Understanding Product Images in
Cross Product Category Attribute Extraction. 27th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (SIGKDD), 2021
Weiyang Liu*, Rongmei Lin*, Zhen Liu, James Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller. Orthogonal Over-Parameterized Training. Computer Vision and Pattern Recognition (CVPR), 2021 [ arXiv ]
Kairouz and McMahan et al. Advances and Open Problems in Federated Learning. Foundations and Trends in Machine Learning 14 (1-2), 1-210, 2021
Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong. Certified Robustness to Word Substitution Attack with Differential Privacy. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021 [ pdf ]
Zhangyi Pan, Jian Lou, Li Xiong, Jing Ma. Communication Efficient Distributed Tensor Factorization based on Local SGD for Collaborative Health Data Analysis. AMIA Informatics Summit, 2021
Mani Sotoodeh, Li Xiong,
Joyce Ho. CrowdTeacher: Robust Co-teaching with Noisy
Answers & Sample-specific Perturbations for Tabular Data. 25th Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce Ho, Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. The Web Conference (WWW), 2021 [ pdf | github ]
Yanan Da, Ritesh Ahuja, Li Xiong, Cyrus Shahabi. REACT: Real-Time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking (demo track). IEEE International Conference on Data Engineering (ICDE), 2021 [ pdf | github ]
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo. Eclipse: Generalizing kNN and Skyline. IEEE International Conference on Data
Engineering (ICDE), 2021
Eric Lee, Li Xiong, Vicki Hertzberg, Roy Simpson,
Joyce Ho. Privacy-preserving Sequential
Pattern Mining in Distributed EHRs for Predicting Cardiovascular Disease. AMIA
Informatics Summit, 2021
Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong. Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. The Conference on Innovative Data Systems Research (CIDR), 2021 [ pdf ]
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin. Visually Aware Recommendation with Aesthetic Features. VLDB Journal (VLDBJ), 2021 [ pdf | github ]
Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong. Generating sequential electronic health records using dual adversarial autoencoder. Journal of American Medical Informatics Assoc (JAMIA). 27(9), 2020 [ pdf ]
Li Xiong, Cyrus Shahabi, Yanan Da, Ritesh Ahuja, Vicki Hertzberg, Lance Waller, Xiaoqian Jiang, Amy Franklin: REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking. ACM SIGSPATIAL Special 12(2), 2020 [ pdf ]
Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, and Li Xiong. Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData 2020. [ pdf ]
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, and Xiaoqian Jiang.
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy
Labels. IEEE BigData 2020
Wenjie Wang, Youngja Park, Taesung
Lee, Ian Molloy, Pengfei Tang and Li Xiong. Utilizing Multimodal Feature Consistency to Detect
Adversarial Examples on Clinical Summaries.
The 3rd Clinical Natural Language Processing Workshop (ClincalNLP) at Conference on Empirical
Methods in Natural Language Processing (EMNLP), 2020
Yifei Ren, Jian Lou, Li Xiong, Joyce Ho. Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. ACM International Conference on Information and Knowledge Management (CIKM), 2020 [ pdf | github ]
Farnaz Tahmasebian, Li Xiong, Mani Sotoodeh, and Vaidy Sunderam. EdgeInfer: Robust Truth Inference under Data Poisoning Attack. IEEE International Conference on Smart Data Services (SMDS) (formally IEEE Big Data Congress), 2020 [ pdf ]
Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, and Xiaofeng Xu. Customizable and Rigorous Location Privacy through Policy Graph, 25th European Symposium on Research in Computer Security (ESORICS), 2020 [ pdf | github | video ]
Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang. RADAR: Recurrent Autoencoder based Detector for Adversarial Examples on Temporal EHR. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 2020 [ pdf | github ]
Jing Ma, Qiuchen Zhang, Joyce Ho, Li Xiong. Spatio-temporal Tensor Sketching via Adaptive Sampling. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), 2020 [ pdf | github ]
Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa. PANDA: Policy-aware Location Privacy for Epidemic Surveillance. Proceedings of Very Large Databases (VLDB) (demo track), 2020 [ pdf ]
Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong and Yang Cao. PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. USENIX Security Symposium, 2020 [ github ]
Farnaz Tahmasebian, Li Xiong, Mani Sotoodeh, and Vaidy Sunderam. Crowdsourcing under Data Poisoning Attacks: A Comparative Study. 34th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), 2020
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James Rehg, Li Xiong, Le Song. Training Neural Networks with Compressive Hyperspherical Energy Minimization. Computer Vision and Pattern Recognition (CVPR), 2020 [ pdf | github ]
Shuaicheng Ma, Yang Cao and Li Xiong. Efficient logging and querying for Blockchain-based cross-site genomic dataset access audit. BMC Medical Genomics, 2020 [ github ]
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa. Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. IEEE Transactions on Data and Knowledge Engineering (TKDE), 2020
Xiaolan Gu, Ming Li, Li Xiong and Yang Cao. Providing Input-Discriminative Protection for Local Differential Privacy. IEEE International Conference on Data Engineering (ICDE), 2020 [ github ]
Luan Tran, Yanfang Li, Luciano Nocera, Cyrus Shahabi, Li Xiong. MultiFusionNet: Atrial Fibrillation Detection with Deep Neural Networks. AMIA Informatics Summit, 2020
Jing Ma, Qiuchen Zhang, Jian Lou, Joyce Ho, Li Xiong, Xiaoqian Jiang. Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. ACM International Conference on Information and Knowledge Management (CIKM), 2019 [ github ]
Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang, SkyRec: Finding Pareto Optimal Groups. ACM International Conference on Information and Knowledge Management (CIKM), demo track, 2019
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa. PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location Based Services. Proceedings of Very Large Databases (VLDB), demo track, 2019
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, and Chenglin Fan. Skyline Diagram: Efficient Space Partitioning for Skyline Queries. IEEE Transactions on Data and Knowledge Engineering (TKDE), 2019.
Xiaolan Gu, Ming Li, Yang Cao and Li Xiong, Privacy-Preserving Range Queries and Frequency Estimation with Geo-indistinguishability. The 7th IEEE Conference on Communications and Network Security (CNS), 2019 [ github ]
Sen Zhao, Li Xiong. Group Nearest Compact POI Set Queries in Road Networks. The 20th IEEE International Conference on Mobile Data Management (MDM), 2019
Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, and Zheng Qin. Efficient Contour Computation of Group-based Skyline. IEEE Transactions on Data and Knowledge Enginnering (TKDE), 2019
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai. PriSTE: From Location Privacy to Spatiotemporal Event Privacy (short paper). 35th IEEE International Conference on Data Engineering (ICDE), 2019
Liyue Fan, Luca Bonomi, Cyrus Shahabi, and Li Xiong, Optimal group route query: Finding itinerary for group of users in spatial databases, Geoinformatica, 2018
Yang Cao, Li Xiong, Masatoshi Yoshikawa, Yonghui Xiao, Si Zhang. ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. Proceedings of the VLDB Endowment (VLDB), demo track, 2018
Jinfei Liu, Juncheng Yang, Li Xiong and Jian Pei. Secure and Efficient Skyline Queries on Encrypted Data. IEEE Transactions on Data and Knowledge Enginnering (TKDE), 2018
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao and Li Xiong. Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations. IEEE Transactions on Data and Knowledge Enginnering (TKDE), 2018
Layla Pournajaf, Farnaz Tahmasebian, Li Xiong, Vaidy Sunderam, Cyrus Shahabi. Privacy-Preserving Reverse k-Nearest Neighbor Queries. 19th IEEE International Conference on Mobile Data Management (MDM), 2018 (Best paper runner up award)
Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin. Aesthetic-based Clothing Recommendation. The Web Conference (WWW), 2018 (Best paper honorable mention) [ github ]
Hien To, Cyrus Shahabi, Li Xiong. Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing with Untrusted Server. 34th IEEE International Conference on Data Engineering (ICDE), 2018
Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo. Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. 34th IEEE International Conference on Data Engineering (ICDE), 2018
Chencheng Li, Pan Zhou, Li Xiong, Qiang Wang, Ting Wang. Differentially Private Distributed Online Learning. IEEE Transactions on Data and Knowledge Enginnering (TKDE), 2018
Xiang Cheng, Sen Su, Shengzhi Xu, Li Xiong, Ke Xiao, Mingxing Zhao. A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining. IEEE Transactions on Data and Knowledge Enginnering (TKDE), 2018
Meng Wang, Zhanglong Ji, Hyeon-Eui Kim, Shuang Wang, Li Xiong, Xiaoqian Jiang. Selecting Optimal Subset to release under Differentially Private M-estimators from Hybrid Datasets. IEEE Transactions on Data and Knowledge Engineering (TKDE), 2017
Ardavan Afshar, Joyce Ho, Bistra Dilkina, Ioakeim Perros, Elias Khalil, Li Xiong, Vaidy Sunderam. CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2017.
Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang. Fast Algorithm of Pareto Optimal Group-based Skyline. International Conference on Information and Knowledge Management (CIKM), 2017
Daniel Garcia Ulloa, Li Xiong, Vaidy Sunderam. Truth Discovery for SpatioTemporal Events from Crowdsourced Data. Proceedings of the VLDB Endowment (VLDB), 2017
Yonghui Xiao, Li Xiong, Si Zhang, Yang Cao. LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model (demo track). Proceedings of the VLDB Endowment (VLDB), demo track, 2017
Liyue Fan, Luca Bonomi, Cyrus Shahabi, Li Xiong. Multi-user Itinerary Planning for Optimal Group Preference. International Symposium on Spatial and Temporal Databases (SSTD), 2017
Michael Solomon, Vaidy Sunderam, Li Xiong, Ming Li. Mutually Private Location Proximity Detection with Access Control. 31st Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), 2017
Haoran Li, Li Xiong, Xiaoqian Jiang. Partitioning Mechanisms for Personalized Differential Privacy. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2017
Boyang Wang, Ming Li, Li Xiong. FastGeo: Efficient Geometric Range Queries on Encrypted Spatial Data. IEEE Transactions on Dependable and Secure Computing (TDSC), 2017
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao and Li Xiong, Quantifying Differential Privacy under Temporal Correlations. 33rd IEEE International Conference on Data Engineering (ICDE), 2017 (Invited for special TKDE issue on "Best of ICDE 2017")
Jinfei Liu, Juncheng
Yang, Li Xiong and Jian Pei. Secure Skyline
Queries on Cloud Platform. 33rd IEEE International Conference on Data
Engineering (ICDE), 2017
· Sicong
Zhang, Grace Hui Yang, Lisa Singh, Li Xiong. Safelog:
Supporting Web Search and Mining by Differentially-Private Query Logs. AAAI
Fall Symposium on Privacy and Language Technologies (PLT), 2016
· Xiaofeng Xu, Li Xiong, Vaidy Sunderam, Yonghui Xiao. A Markov Chain Based Pruning Method for Predictive Range Queries. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2016
Shengzhi Xu, Sen Su, Xiang Cheng, Zhengyi Li, Li Xiong. Differentially Private Frequent Sequence Mining. IEEE Transactions on Data and Knowledge Engineering (TKDE), 2016
Xiaofeng Xu, Li Xiong, Vaidy Sunderam. D-Grid: An In-Memory Dual Space Grid Index for Moving Object Databases. 17th IEEE International Conference on Mobile Data Management (MDM), 2016 (Best Paper Award)
Luca Bonomi, Li Xiong. On Differentially Private Longest Increasing Subsequence Computation in Data Stream. Transactions on Data Privacy (TDP) 9(1), 2016
Shengzhi Xu, Sen Su, Li Xiong, Xiang Cheng, Ke Xiao, Differentially Private Frequent Subgraph Mining. 32nd IEEE International Conference on Data Engineering (ICDE), 2016
· Slawomir Goryczka, Li Xiong.
A
Comprehensive Comparison of Multiparty Secure Sum with Differential Privacy.
IEEE Transactions on Dependable and Secure Computing (TDSC),
2015
· Layla Pournajaf, Daniel Garcia-Ulloa,
Li Xiong, Vaidy Sunderam. Participant
Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and
Challenges. SIGMOD Record, December 2015
· Cyrus Shahabi, Liyue
Fan, Luciano Nocera, Li Xiong and Ming Li. Privacy-Preserving
Inference of Social Relationships from Location Data: A Vision Paper, ACM SIGSPATIAL,
2015 (CCC Blue Sky Ideas Best Paper Award)
· Jinfei Liu, Li Xiong,
Jian Pei, Jun Luo, and Haoyu Zhang. Finding Pareto
Optimal Groups: Group-based Skyline. VLDB 8(13), 2015
· Jinfei Liu, Haoyu
Zhang, Li Xiong, Haoran Li,
and Jun Luo. Finding
Probabilistic k-Skyline Sets on Uncertain Data. 24th ACM International
Conference on Information and Knowledge Management (CIKM),
2015
· Haoran Li, Li Xiong,
Xiaoqian Jiang, and Jinfei
Liu. Differentially
Private Histogram Publication For Dynamic Datasets: An
Adaptive Sampling Approach. 24th ACM International Conference on
Information and Knowledge Management (CIKM), 2015
· Yonghui Xiao, Li Xiong.
Protecting
Locations with Differential Privacy under Temporal Correlations. 22nd ACM
Conference on Computer and Communications Security (CCS), 2015
· Xiaofeng Xu, Li Xiong,
Vaidy Sunderam, Jinfei Liu and Jun Luo. Speed Partitioning for
Indexing Moving Objects. 14th International Symposium on Spatial and
Temporal Databases (SSTD), 2015
· Chia-Lun Lu, Shuang Wang, Zhanglong Ji, Yuan Wu, Li Xiong, Xiaoqian Jiang, Lucila Ohno-Machado. WebDISCO:
a Web service for DIStributed COx
model learning without patient-level data sharing. Journal of the American
Medical Informatics Association (JAMIA), 2015
· Li Xiong, Vaidy
S. Sunderam. Security and
Privacy Dimensions in Next Generation DDDAS/Infosymbiotic
Systems: A Position Paper. International Conference on Computational
Science (ICCS), 2015
· Shengzhi Xu, Sen Su,
Xiang Cheng, Zhengyi Li, Li Xiong. Differentially Private
Frequent Sequence Mining via Sampling-based Candidate Pruning. 31st IEEE
International Conference on Data Engineering (ICDE), 2015
· Luca Bonomi and Li Xiong. Private
Computation of the Longest Increasing Subsequence in Data Streams. Workshop
on Privacy and Anonymity in Information Society (PAIS), in
conjunction with EDBT, 2015
· Xiaofeng Xu, Li Xiong,
Jinfei Liu. Database
Fragmentation with Confidentiality Constraints: A Graph Search Approach.
Fifth ACM Conference on Data and Application Security and Privacy (CODASPY),
2015
· Yonghui Xiao, Li Xiong,
Liyue Fan, Slawomir Goryczka,
Haoran Li. DPCube:
Differentially Private Histogram Release through Multidimensional Partitioning,
Transactions of Data Privacy 7:3 (TDP), 2014
· Jinfei Liu, Li Xiong,
Xiaofeng Xu. Faster
output-sensitive skyline computation algorithm. Information
Processing Letters, 114(12), December 2014
· Liyue Fan, Li Xiong.
An Adaptive
Approach to Real-time Aggregate Monitoring with Differential Privacy. IEEE
Transactions on Data and Knowledge Engineering (TKDE), Vol.
26, No. 9, September 2014
· Raquel Hill, Michael Hansen, Erick Janssen, Stephanie A. Sanders,
Julia R. Heiman, Li Xiong. A Quantitative
Approach for Evaluating the Utility of a Differentially Private Behavioral
Science Dataset. IEEE International Conference on Healthcare Informatics (ICHI),
2014
· Haoran Li, Li Xiong,
Lifan Zhang, Xiaoqian
Jiang. DPSynthesizer: Differentially Private Data Synthesizer for
Privacy Preserving Data Sharing (demo paper). 40th International Conference
on Very Large Data Bases (VLDB), 2014
· Michael Solomon, Vaidy Sunderam and Li Xiong. Towards Secure
Cloud Database with Fine-Grained Access Control. 28th IFIP WG 11.3
Conference on Data and Applications Security and Privacy (DBSec),
2014
· Layla Pournajaf, Li Xiong,
Vaidy Sunderam, Slawomir Goryczka. Spatial Task
Assignment for Crowd Sensing with Cloaked Locations. In 15th IEEE
International Conference on Mobile Data Management (MDM), 2014
· Layla Pournajaf, Li Xiong,
Vaidy Sunderam. Dynamic Data
Driven Crowd Sensing Task Assignment. ICCS 2014
· Zhanglong Ji, Xiaoqian
Jiang, Shuang Wang, Li Xiong and Lucila Ohno-Machado.
Differentially
Private Distributed Logistic Regression using Public and Private Biomedical
Datasets. BMC Medical Genomics, 7(Suppl 1), 2014
· Haoran Li, Li Xiong,
Lucila Ohno-Machado, Xiaoqian Jiang. Privacy Preserving
RBF Kernel Support Vector Machine, BioMed Research International,
Volume 2014, 2014
· Jun Luo, Jinfei Liu, Li Xiong. Privacy Preserving
Publication of Locations Based on Delaunay Triangulation. In 18th
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD),
2014.
· Liyue Fan, Luca Bonomi, Li Xiong, Vaidy Sunderam.
Monitoring Web
Browsing Behaviors with Differential Privacy. In WWW 2014.
· Haoran Li, Li Xiong,
Xiaoqian Jiang. Differentially Private
Synthesization of Multi-Dimensional Data using Copula
Functions. In EDBT 2014
· Jinfei Liu, Li Xiong,
Jun Luo. Semantic
Security: Privacy Definitions Revisited. Transactions on Data Privacy (TDP),
6:3 (2013)
· Liyue Fan, Li Xiong.
Differentially
Private Anomaly Detection with a Case Study on Epidemic Outbreak Detection.
IEEE Workshop on Privacy Aspects of Data Mining (PADM), in
conjunction with International Conference on Data Mining (ICDM), 2013
· Luca Bonomi, Li Xiong. A Two-Phase
Algorithm For Mining Sequential Patterns with
Differential Privacy. In CIKM 2013
· Liyue Fan, Li Xiong,
Vaidy Sunderam. Differentially
Private Multi-Dimensional Time-Series Release for Traffic Monitoring. 27th
IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), 2013 (Best student paper award)
· L. Bonomi, L. Xiong, J. Lu. LinkIT: Privacy Preserving Record Linkage and Integration
via Transformations (demo track). In SIGMOD, 2013
· L. Fan, L. Xiong, V. Sunderam. FAST:
Differentially Private Real-Time Aggregate Monitor with Filtering and Adaptive
Sampling (demo track). In SIGMOD, 2013
· Li Xiong, Vaidy
Sunderam, Liyue Fan,
Slawomir Goryczka, Layla Pournajaf.
PREDICT:
Privacy and Security Enhancing Dynamic Information Collection and Monitoring.
In DDDAS Workshop, in conjunction with ICCS, 2013
· Slawomir Goryczka, Li Xiong
and Vaidy Sunderam. Secure
Multiparty Aggregation with Differential Privacy: A Comparative Study. In
6th International Workshop on Privacy and Anonymity in the Information Society
(PAIS), in conjunction with the International Conference on
Extended Database Technology (EDBT), 2013
· Jinfei Liu, Li Xiong
and Jun Luo. A
Privacy Framework: Indistinguishable Privacy. In 6th International Workshop
on Privacy and Anonymity in the Information Society (PAIS), in
conjunction with the International Conference on Extended Database Technology
(EDBT), 2013
· S. Goryczka, L. Xiong,
B. C. M. Fung. m-Privacy for Collaborative Data Publishing. IEEE Transactions
on Data and Knowledge Enginnering (TKDE),
2013
· J. Liu, L. Xiong, J. Luo, J. Huang. Privacy Preserving Distributed DBSCAN Clustering. Transactions on Data Privacy (TDP), 2013.
· James Gardner, Li Xiong, Yonghui Xiao, Jingjing Gao, Andrew Post, Xiaoqian Jiang, Lucila Ohno-Machado. SHARE: System
Design and Case Studies for Statistical Health Information Release. Journal
of the American Medical Informatics Association (JAMIA), 20(1),
2013
· Luca Bonomi, Li Xiong, Rui Chen, and
Benjamin C. M. Fung. Frequent grams based Embedding for Privacy Preserving Record Linkage
(short paper). In 21st ACM International Conference on Information and
Knowledge Management (CIKM), 2012
· Liyue Fan, Li Xiong.
Real-Time
Aggregate Monitoring with Differential Privacy (short paper). In 21st ACM
International Conference on Information and Knowledge Management (CIKM),
2012
· Syed Raheel Hassan, Julien Bourgeois, Vaidy Sunderam, Li Xiong. Detection of
Distributed Attacks in Hybrid & Public Cloud Networks. In 8th
International Conference on Semantics, Knowledge and Grids (SKG),
2012
· B. Fung, T. Trojer, P. Hung, L. Xiong, K. Al-Hussaeni, R. Dssouli. Service-Oriented
Architecture for High-Dimensional Private Data Mashup. IEEE Transactions on
Services Computing (TSC), 5(3):373-386, July-September 2012
· Y. Xiao, J. Gardner, L. Xiong. DPCube:
Releasing Differentially Private Data Cubes for Health Information (demo
paper). In 28th IEEE International Conference on Data Engineering (ICDE),
2012
P. Jurczyk, L. Xiong, S. Goryczka. DObjects+: Enabling Privacy-Preserving Data Federation Services (demo paper). In 28th IEEE International Conference on Data Engineering (ICDE), 2012
J. Liu, J. Luo, J. Huang, L. Xiong. Privacy Preserving Distributed DBSCAN Clustering. In 5th International Workshop on Privacy and Anonymity in the Information Society (PAIS), in conjunction with the International Conference on Extended Database Technology (EDBT), 2012
· K. Thayer, L. Xiong, V. Hertzberg. IFC Soft: Visual
Comparison of Flow Cytometry Data Using Self-Organizing Maps (demo paper).
In 2nd ACM SIGHIT International Health Informatics Symposium (IHI),
2012
· S. Goryczka, L. Xiong,
B. C. M. Fung. m-Privacy
for Collaborative Data Publishing. 7th International Conference on
Collaborative Computing: Networking, Applications and Worksharing
(CollaborateCom), 2011
· P. Jurczyk, L. Xiong.
Information
Sharing Across Private Databases: Secure Union Revisited. In the 3rd IEEE
International Conference on Privacy, Security, Risk and Trust (PASSAT),
2011
· R. Chen, N. Mohammed, B. C. M. Fung, B. C. Desai, L. Xiong. Publishing
Set-Valued Data via Differential Privacy. In 37th International Conference
on Very Large Data Bases (VLDB), 2011
· L. Xiong, S. Goryczka,
V. Sunderam. Adaptive, Secure,
and Scalable Distributed Data Outsourcing: A Vision Paper. Workshop on
Dynamic Distributed Data-Intensive Applications, Programming Abstractions, and
Systems (3DAPAS), in conjunction with HPDC, 2011
· J. Gardner, L. Xiong, F. Wang, A.
Post, J. Saltz, T. Grandison. An evaluation of
feature sets and sampling techniques for statistical de-identification of
medical records. In 1st ACM International Health Informatics
Symposium (IHI), 2010
· P. Shi, L. Xiong, B. Fung. Anonymizing Data with
Quasi-Sensitive Attribute Values (short paper). In 19th ACM International
Conference on Information and Knowledge Management (CIKM),
2010
· Y. Xiao, L. Xiong, C. Yuan. Differentially private
data release through multidimensional partitioning. In Secure Data
Management (SDM), 7th VLDB Workshop, Lecture Notes in Computer Science, 2010
· Y. Zhu, L. Xiong, C. Verdery. Anonymizing
User Profiles for Personalized Web Search (poster paper). In 19th
International Conference on World Wide Web (WWW), 2010
· J. Gardner, A. Krowne, L. Xiong. Automatic
Invocation Linking for Collaborative Web-Based Corpora. A book chapter in
Emergent Web Intelligence: Advanced Information Retrieval, Ed. Richard Chbeir. Springer-Verlag London, 2010
· J. Gardner, L. Xiong. Automatic Link Detection: A Sequence
Labeling Approach (short paper). In 18th ACM International Conference on
Information and Knowledge Management (CIKM), 2009
· L. Xiong, J. Gardner, P. Jurczyk, J. J. Lu. Privacy Preserving Information Discovery
on EHRs. A book chapter in Information
Discovery on Electronic Health Records, 2009
· J. Gardner, L. Xiong. An integrated framework
for de-identifying unstructured medical data. Data and Knowledge
Engineering (DKE), 68(12), 2009
· P. Jurczyk, L. Xiong.
Dynamic Query Processing for
Distributed Data Services in the Cloud. In 20th International Conference on
Database and Expert Systems Applications (DEXA), 2009
· P. Jurczyk, L. Xiong.
Distributed Anonymization:
Achieving Privacy for Both Data Subjects and Data Providers. In 23rd Annual
IFIP WG 11.3 Working Conference on Data and Applications Security (DBSec), 2009
· J. Gardner, A. Krowne, L. Xiong. NNexus: Automatic Linking for Distributed and Collaborative
Corpora. IEEE Transactions on Knowledge and Data Engineering (TKDE),
21(6), 2009
· J. Gardner, L. Xiong, K. Li, J. J.
Lu. HIDE: Heterogeneous Information
DE-identification (demo paper), 12th International Conference on Extending
Database Technology (EDBT), March, 2009
· J. Gardner, A. Krowne, L. Xiong. NNexus: An Automatic Linker for Collaborative Web-Based
Corpora (demo paper), 12th International Conference on Extending Database
Technology (EDBT), March, 2009
· P. Jurczyk, L. Xiong.
Adapting Distributed Commit
Protocol for Dynamic and Large Scale Distributed
Applications. In 16th International Conference on Cooperative Information
Systems (CoopIS), November, 2008
· P. Jurczyk, J. J. Lu, L. Xiong, J. D. Cragan, A. Correa. Fine-grained record integration and linkage
tool, Birth Defects Research. Part A, Clinical and Molecular Teratology,
2008 Nov;82(11)
· P. Jurczyk, J. J. Lu, L. Xiong, J. D. Cragan, A. Correa. FRIL: A Tool for Comparative Record
Linkage. In AMIA 2008 Annual Symposium, November, 2008
· L. Liu, L. Xiong, J. J. Lu, K. M. Gernert, V. Hertzberg. Comparing and Clustering Flow
Cytometry Data. In IEEE Conf. on Bioinformatics and Biomedicine (BIBM),
November, 2008
· P. Jurczyk, L. Xiong.
Towards Privacy-Preserving Integration
of Distributed Heterogeneous Data. In PhD workshop at 17th ACM Conference
on Information and Knowledge Management (PIKM), October, 2008
· P. Jurczyk, L. Xiong.
Privacy-preserving data publishing for
horizontally partitioned databases (poster paper). In 17th ACM
International Conference on Information and Knowledge Management (CIKM),
October, 2008
· P. Jurzcyk, L. Xiong.
DObjects:
Enabling Data Services for Distributed and Heterogeneous Data Sources (demo
paper). In 34th Conference on Very Large Data Bases (VLDB), August, 2008
· P. Jurczyk, L. Xiong,
V. Sunderam. DObjects:
Enabling Distributed Data Services for Metacomputing
Frameworks. In International Conference on Computational Science (ICCS),
June, 2008 (Best paper award)
· J. Gardner, L. Xiong. HIDE: A Health Information
DE-identification System. In 21st IEEE International Symposium on
Computer-Based Medical Systems (CBMS), June, 2008
· L. Xiong, K. Rangachari. Towards Application-Oriented Data
Anonymization. In SIAM Workshop on Practical Privacy-Preserving Data Mining
(P3DM), in conjunction with SIAM Internatioal
Conference on Data Mining (SDM), April, 2008
· C. LaRosa, L. Xiong, K. Mandelberg. Frequent
Pattern Mining for Kernel Trace Data. In ACM Symposium on Applied Computing
(SAC), Data Mining Track, March, 2008.
· L. Xiong, L. Liu, M. Ahamad. Countering Feedback Sparsity and
Manipulation in Reputation Systems. In 3rd IEEE Conference on Collaborative
Computing: Networking, Applications and Worksharing (CollaborateCom), November, 2007.
· L. Xiong, P. Jurczyk,
L. Liu. Mining Distributed
Private Databases using Random Response Protocols. In NSF Symposium on Next
Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM),
October, 2007.
· L. Xiong, S. Chitti,
L. Liu. Preserving Data Privacy in
Outsourcing Data Aggregation Services. ACM Transactions on Internet
Technology (TOIT), 7(3), August, 2007.
· L. Xiong, E. Agichtein.
Towards Privacy Preserving Query Log
Publishing and Analysis. In Query Log Analysis Workshop, in conjunction
with International Conference on World Wide Web (WWW), May, 2007.
· L. Xiong, S. Chitti,
L. Liu. Mining Multiple Private
Databases using a kNN Classifier. In ACM
Symposium of Applied Computing (SAC), Data Mining Track, March, 2007
· J. Gardner, A. Krowne, L. Xiong. NNexus: Towards a Subject-Steered Automatic Linker for a
Massively-Distributed Collaborative Corpus. In Workshop on Mobility,
Collaborative Working, and Emerging Applications, in conjunction with 2nd IEEE
International Conference on Collaborative Computing: Networking, Applications,
and Worksharing (CollaborateCom),
November, 2006
· L. Xiong, S. Chitti,
L. Liu. K Nearest Neighbor Classification
across Multiple Private Databases (poster paper). In 15th ACM Conference on
Information and Knowledge Management (CIKM), November, 2006
· D. Zhong, A. Morikawa, L. Guo, C. Colpaert,
L. Xiong, A. R. Nassar, C. Chen, J. Dong, W. Zhou. Homozygous
Deletion of SMAD4 in Breast Cancer Cell Lines and Invasive Ductal Carcinomas.
Cancer Biology and Therapy, 5(6), 2006.
· L. Xiong, S. Chitti,
L. Liu. Topk Queries across Multiple Private Databases. In 25th
International Conference on Distributed Computing Systems (ICDCS),
June, 2005
· M. Srivatsa, L. Xiong, L. Liu. TrustGuard:
Countering Vulnerabilities in Reputation Management for Decentralized Networks.
In 14th World Wide Web Conference (WWW), May, 2005.
· M. Srivatsa, L. Xiong, L. Liu. ExchangeGuard: A Distributed Protocol for Electronic
Fair-Exchange. In 19th IEEE International Parallel & Distributed
Processing Symposium (IPDPS), April, 2005
· L. Xiong, L. Liu. Reputation and Trust in
Mobile Commerce. Book chapter in Advances in Security and Payment Methods
for Mobile Commerce, ISBN 1591403456, Idea Group, November, 2004
· L. Xiong, L. Liu. PeerTrust:
Supporting Reputation-Based Trust in Peer-to-Peer Communities. IEEE
Transactions on Knowledge and Data Engineering (TKDE), Special
Issue on Peer-to-Peer Based Data Management, 16(7), July, 2004
· L. Xiong, L. Liu. A Reputation-Based
Trust Model for Peer-to-Peer eCommerce Communities. In IEEE Conference on
Electronic Commerce (CEC), June, 2003
· L. Xiong, L. Liu. A
Reputation-Based Trust Model for Peer-to-Peer eCommerce Communities (Poster
Paper). In Fourth ACM Conference on Electronic Commerce (EC), June, 2003
· D. Buttler, M. Coleman, T.
Critchlow, R. Fileto, W. Han, L. Liu, C. Pu, D.
Rocco, L. Xiong. Querying Multiple
Bioinformatics Data Sources: Can Semantic Web Research Help? ACM SIGMOD
Record, 31(4), December, 2002
· L. Xiong, L. Liu. Building Trust in
Decentralized Peer-to-Peer Electronic Communities. In Fifth International
Conference on Electronic Commerce Research (ICECR), October, 2002