Querying Multiple Bioinformatics Data Sources: Can Semantic Web Research Help? - David Buttler; Matthew Coleman; Terence Critchlow; Renato Fileto; Wei Han; Ling Liu 001; Calton Pu; Daniel Rocco; Li Xiong 001 (SIGMOD Rec., 2002)

A reputation-based trust model for peer-to-peer ecommerce communities. - Li Xiong 001; Ling Liu 001 (EC, 2003)

PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities. - Li Xiong 001; Ling Liu 001 (IEEE Trans. Knowl. Data Eng., 2004)

Topk Queries across Multiple Private Databases. - Li Xiong 001; Subramanyam Chitti; Ling Liu 001 (ICDCS, 2005)

ExchangeGuard: A Distributed Protocol for Electronic Fair-Exchange. - Mudhakar Srivatsa; Li Xiong 001; Ling Liu 001 (IPDPS, 2005)

TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks. - Mudhakar Srivatsa; Li Xiong 001; Ling Liu 001 (WWW, 2005)

Resilient Reputation and Trust Management: Models and Techniques. - Li Xiong 001 (2005)

k nearest neighbor classification across multiple private databases. - Li Xiong 001; Subramanyam Chitti; Ling Liu 001 (CIKM, 2006)

NNexus: Towards an Automatic Linker for a Massively-Distributed Collaborative Corpus. - James J. Gardner; Aaron Krowne; Li Xiong 001 (CollaborateCom, 2006)

Countering feedback sparsity and manipulation in reputation systems. - Li Xiong 001; Ling Liu 001; Mustaque Ahamad (CollaborateCom, 2007)

Mining multiple private databases using a kNN classifier. - Li Xiong 001; Subramanyam Chitti; Ling Liu 001 (SAC, 2007)

Report on ACM Workshop on Health Information and Knowledge Management (HIKM 2006). - Li Xiong 001; Yuni Xia (SIGMOD Rec., 2007)

Preserving data privacy in outsourcing data aggregation services. - Li Xiong 001; Subramanyam Chitti; Ling Liu 001 (ACM Trans. Internet Techn., 2007)

FRIL: A Tool for Comparative Record Linkage. - Pawel Jurczyk; James J. Lu; Li Xiong 001; Janet D. Cragan; Adolfo Correa (AMIA, 2008)

Comparing and Clustering Flow Cytometry Data. - Lin Liu; Li Xiong 001; James J. Lu; Kim M. Gernert; Vicki Hertzberg (BIBM, 2008)

HIDE: An Integrated System for Health Information DE-identification. - James J. Gardner; Li Xiong 001 (CBMS, 2008)

Privacy-preserving data publishing for horizontally partitioned databases. - Pawel Jurczyk; Li Xiong 001 (CIKM, 2008)

Towards privacy-preserving integration of distributed heterogeneous data. - Pawel Jurczyk; Li Xiong 001 (PIKM, 2008)

DObjects: Enabling Distributed Data Services for Metacomputing Platforms. - Pawel Jurczyk; Li Xiong 001; Vaidy S. Sunderam (ICCS (1), 2008)

Adapting Commit Protocols for Large-Scale and Dynamic Distributed Applications. - Pawel Jurczyk; Li Xiong 001 (OTM Conferences (1), 2008)

Frequent pattern mining for kernel trace data. - Christopher LaRosa; Li Xiong 001; Ken Mandelberg (SAC, 2008)

DObjects: enabling distributed data services for metacomputing platforms. - Pawel Jurczyk; Li Xiong 001 (Proc. VLDB Endow., 2008)

Report on international workshop on privacy and anonymity in the information society (PAIS 2008). - Li Xiong 001; Traian Marius Truta; Farshad Fotouhi (SIGMOD Rec., 2008)

Automatic link detection: a sequence labeling approach. - James J. Gardner; Li Xiong 001 (CIKM, 2009)

Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers. - Pawel Jurczyk; Li Xiong 001 (DBSec, 2009)

Dynamic Query Processing for P2P Data Services in the Cloud. - Pawel Jurczyk; Li Xiong 001 (DEXA, 2009)

HIDE: heterogeneous information DE-identification. - James J. Gardner; Li Xiong 001; Kanwei Li; James J. Lu (EDBT, 2009)

An integrated framework for de-identifying unstructured medical data. - James J. Gardner; Li Xiong 001 (Data Knowl. Eng., 2009)

NNexus: An Automatic Linker for Collaborative Web-Based Corpora. - James J. Gardner; Aaron Krowne; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2009)

Anonymizing data with quasi-sensitive attribute values. - Pu Shi; Li Xiong 001; Benjamin C. M. Fung (CIKM, 2010)

An evaluation of feature sets and sampling techniques for de-identification of medical records. - James J. Gardner; Li Xiong 001; Fusheng Wang 001; Andrew R. Post; Joel H. Saltz; Tyrone Grandison (IHI, 2010)

Differentially Private Data Release through Multidimensional Partitioning. - Yonghui Xiao; Li Xiong 001; Chun Yuan (Secure Data Management, 2010)

Anonymizing user profiles for personalized web search. - Yun Zhu; Li Xiong 001; Christopher Verdery (WWW, 2010)

Automatic Invocation Linking for Collaborative Web-Based Corpora. - James J. Gardner; Aaron Krowne; Li Xiong 001 (Emergent Web Intelligence, 2010)

Information Sharing across Private Databases: Secure Union Revisited. - Pawel Jurczyk; Li Xiong 001 (SocialCom/PASSAT, 2011)

Publishing Set-Valued Data via Differential Privacy. - Rui Chen 012; Noman Mohammed; Benjamin C. M. Fung; Bipin C. Desai; Li Xiong 001 (Proc. VLDB Endow., 2011)

Frequent grams based embedding for privacy preserving record linkage. - Luca Bonomi; Li Xiong 001; Rui Chen 012; Benjamin C. M. Fung (CIKM, 2012)

Real-time aggregate monitoring with differential privacy. - Liyue Fan; Li Xiong 001 (CIKM, 2012)

A Randomized Response Model for Privacy-Preserving Data Dissemination. - Xiaoqian Jiang; Shuang Wang 002; Zhanglong Ji; Lucila Ohno-Machado; Li Xiong 001 (HISB, 2012)

DObjects+: Enabling Privacy-Preserving Data Federation Services. - Pawel Jurczyk; Li Xiong 001; Slawomir Goryczka (ICDE, 2012)

DPCube: Releasing Differentially Private Data Cubes for Health Information. - Yonghui Xiao; James J. Gardner; Li Xiong 001 (ICDE, 2012)

IFC soft: visual comparison of flow cytometry data using self-organizing maps. - Kyle Thayer; Li Xiong 001; Vicki Hertzberg (IHI, 2012)

Detection of Distributed Attacks in Hybrid & Public Cloud Networks. - Syed Raheel Hassan; Julien Bourgeois; Vaidy S. Sunderam; Li Xiong 001 (SKG, 2012)

Adaptively Sharing Time-Series with Differential Privacy - Liyue Fan; Li Xiong 001 (CoRR, 2012)

DPCube: Differentially Private Histogram Release through Multidimensional Partitioning - Yonghui Xiao; Li Xiong 001; Liyue Fan; Slawomir Goryczka (CoRR, 2012)

Online query answering with differential privacy: a utility-driven approach using Bayesian inference - Yonghui Xiao; Li Xiong 001 (CoRR, 2012)

Privacy Preserving Record Linkage via grams Projections - Luca Bonomi; Li Xiong 001; Rui Chen 012; Benjamin C. M. Fung (CoRR, 2012)

Service-Oriented Architecture for High-Dimensional Private Data Mashup. - Benjamin C. M. Fung; Thomas Trojer; Patrick C. K. Hung; Li Xiong 001; Khalil Al-Hussaeni; Rachida Dssouli (IEEE Trans. Serv. Comput., 2012)

A two-phase algorithm for mining sequential patterns with differential privacy. - Luca Bonomi; Li Xiong 001 (CIKM, 2013)

Differentially Private Multi-dimensional Time Series Release for Traffic Monitoring. - Liyue Fan; Li Xiong 001; Vaidy S. Sunderam (DBSec, 2013)

Secure multiparty aggregation with differential privacy: a comparative study. - Slawomir Goryczka; Li Xiong 001; Vaidy S. Sunderam (EDBT/ICDT Workshops, 2013)

A privacy framework: indistinguishable privacy. - Jinfei Liu; Li Xiong 001; Jun Luo 007 (EDBT/ICDT Workshops, 2013)

Predict: Privacy and Security Enhancing Dynamic Information Collection and Monitoring. - Li Xiong 001; Vaidy S. Sunderam; Liyue Fan; Slawomir Goryczka; Layla Pournajaf (ICCS, 2013)

Differentially Private Anomaly Detection with a Case Study on Epidemic Outbreak Detection. - Liyue Fan; Li Xiong 001 (ICDM Workshops, 2013)

Adaptive Differentially Private Data Release for Data Sharing and Data Mining. - Li Xiong 001 (ICDM Workshops, 2013)

LinkIT: privacy preserving record linkage and integration via transformations. - Luca Bonomi; Li Xiong 001; James J. Lu (SIGMOD Conference, 2013)

FAST: differentially private real-time aggregate monitor with filtering and adaptive sampling. - Liyue Fan; Li Xiong 001; Vaidy S. Sunderam (SIGMOD Conference, 2013)

SHARE: system design and case studies for statistical health information release. - James J. Gardner; Li Xiong 001; Yonghui Xiao; Jingjing Gao; Andrew R. Post; Xiaoqian Jiang; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2013)

Semantic Security: Privacy Definitions Revisited. - Jinfei Liu; Li Xiong 001; Jun Luo 007 (Trans. Data Priv., 2013)

Privacy Preserving Distributed DBSCAN Clustering. - Jinfei Liu; Li Xiong 001; Jun Luo 007; Joshua Zhexue Huang (Trans. Data Priv., 2013)

Towards Secure Cloud Database with Fine-Grained Access Control. - Michael G. Solomon; Vaidy S. Sunderam; Li Xiong 001 (DBSec, 2014)

Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions. - Haoran Li; Li Xiong 001; Xiaoqian Jiang (EDBT, 2014)

Dynamic Data Driven Crowd Sensing Task Assignment. - Layla Pournajaf; Li Xiong 001; Vaidy S. Sunderam (ICCS, 2014)

A Quantitative Approach for Evaluating the Utility of a Differentially Private Behavioral Science Dataset. - Raquel Hill; Michael Hansen; Erick Janssen; Stephanie A. Sanders; Julia R. Heiman; Li Xiong 001 (ICHI, 2014)

Spatial Task Assignment for Crowd Sensing with Cloaked Locations. - Layla Pournajaf; Li Xiong 001; Vaidy S. Sunderam; Slawomir Goryczka (MDM (1), 2014)

Privacy Preserving Publication of Locations Based on Delaunay Triangulation. - Jun Luo 007; Jinfei Liu; Li Xiong 001 (PAKDD (1), 2014)

Monitoring web browsing behavior with differential privacy. - Liyue Fan; Luca Bonomi; Li Xiong 001; Vaidy S. Sunderam (WWW, 2014)

Dynamic Differential Privacy for Location based Applications. - Yonghui Xiao; Li Xiong 001 (CoRR, 2014)

Faster output-sensitive skyline computation algorithm. - Jinfei Liu; Li Xiong 001; Xiaofeng Xu (Inf. Process. Lett., 2014)

Informatics methods in medical privacy. - Aris Gkoulalas-Divanis; Grigorios Loukides; Li Xiong 001; Jimeng Sun 001 (J. Biomed. Informatics, 2014)

DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing. - Haoran Li; Li Xiong 001; Lifan Zhang; Xiaoqian Jiang (Proc. VLDB Endow., 2014)

Front Matter. - Li Xiong 001; Cong Yu 001 (Proc. VLDB Endow., 2014)

DPCube: Differentially Private Histogram Release through Multidimensional Partitioning. - Yonghui Xiao; Li Xiong 001; Liyue Fan; Slawomir Goryczka; Haoran Li (Trans. Data Priv., 2014)

An Adaptive Approach to Real-Time Aggregate Monitoring With Differential Privacy. - Liyue Fan; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2014)

(m ) -Privacy for Collaborative Data Publishing. - Slawomir Goryczka; Li Xiong 001; Benjamin C. M. Fung (IEEE Trans. Knowl. Data Eng., 2014)

A Review of Privacy Preserving Mechanisms for Record Linkage. - Luca Bonomi; Liyue Fan; Li Xiong 001 (Medical Data Privacy Handbook, 2015)

Differentially Private Histogram and Synthetic Data Publication. - Haoran Li; Li Xiong 001; Xiaoqian Jiang (Medical Data Privacy Handbook, 2015)

Protecting Locations with Differential Privacy under Temporal Correlations. - Yonghui Xiao; Li Xiong 001 (CCS, 2015)

Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach. - Haoran Li; Li Xiong 001; Xiaoqian Jiang; Jinfei Liu (CIKM, 2015)

Finding Probabilistic k-Skyline Sets on Uncertain Data. - Jinfei Liu; Haoyu Zhang; Li Xiong 001; Haoran Li; Jun Luo 007 (CIKM, 2015)

Database Fragmentation with Confidentiality Constraints: A Graph Search Approach. - Xiaofeng Xu; Li Xiong 001; Jinfei Liu (CODASPY, 2015)

Harnessing personal data from Internet of Things: Privacy enhancing dynamic information monitoring. - Li Xiong 001 (CTS, 2015)

Private Computation of the Longest Increasing Subsequence in Data Streams. - Luca Bonomi; Li Xiong 001 (EDBT/ICDT Workshops, 2015)

STAC: spatial task assignment for crowd sensing with cloaked participant locations. - Layla Pournajaf; Li Xiong 001; Vaidy S. Sunderam; Xiaofeng Xu (SIGSPATIAL/GIS, 2015)

Privacy-preserving inference of social relationships from location data: a vision paper. - Cyrus Shahabi; Liyue Fan; Luciano Nocera; Li Xiong 001; Ming Li 003 (SIGSPATIAL/GIS, 2015)

VPIndexer: velocity-based partitioning for indexing moving objects. - Xiaofeng Xu; Li Xiong 001; Vaidy S. Sunderam; Jinfei Liu; Jun Luo 007 (SIGSPATIAL/GIS, 2015)

Security and Privacy Dimensions in Next Generation DDDAS/Infosymbiotic Systems: A Position Paper. - Li Xiong 001; Vaidy S. Sunderam (ICCS, 2015)

Differentially private frequent sequence mining via sampling-based candidate pruning. - Shengzhi Xu; Sen Su; Xiang Cheng 003; Zhengyi Li 004; Li Xiong 001 (ICDE, 2015)

Speed Partitioning for Indexing Moving Objects. - Xiaofeng Xu; Li Xiong 001; Vaidy S. Sunderam; Jinfei Liu; Jun Luo 007 (SSTD, 2015)

Secure Similarity Queries: Enabling Precision Medicine with Privacy. - Jinfei Liu; Li Xiong 001 (Big-O(Q)/DMAH@VLDB, 2015)

WebDISCO: a web service for distributed cox model learning without patient-level data sharing. - Chia-Lun Lu; Shuang Wang 002; Zhanglong Ji; Yuan Wu 003; Li Xiong 001; Xiaoqian Jiang; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2015)

Finding Pareto Optimal Groups: Group-based Skyline. - Jinfei Liu; Li Xiong 001; Jian Pei 001; Jun Luo 007; Haoyu Zhang (Proc. VLDB Endow., 2015)

Participant Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and Challenges. - Layla Pournajaf; Daniel A. Garcia-Ulloa; Li Xiong 001; Vaidy S. Sunderam (SIGMOD Rec., 2015)

Foreword for the special issue of selected papers from the 7th EDBT/ICDT Workshop on Privacy and Anonymity in Information Society (PAIS 2014). - Traian Marius Truta; Li Xiong 001; Farshad Fotouhi (Trans. Data Priv., 2015)

Safelog: Supporting Web Search and Mining by Differentially-Private Query Logs. - Sicong Zhang; Grace Hui Yang; Lisa Singh; Li Xiong 001 (AAAI Fall Symposia, 2016)

A Markov chain based pruning method for predictive range queries. - Xiaofeng Xu; Li Xiong 001; Vaidy S. Sunderam; Yonghui Xiao (SIGSPATIAL/GIS, 2016)

Differentially private frequent subgraph mining. - Shengzhi Xu; Sen Su; Li Xiong 001; Xiang Cheng 003; Ke Xiao (ICDE, 2016)

Enabling mutually private location proximity services in smart cities: A comparative assessment. - Michael G. Solomon; Vaidy S. Sunderam; Li Xiong 001; Ming Li 003 (ISC2, 2016)

D-Grid: An In-Memory Dual Space Grid Index for Moving Object Databases. - Xiaofeng Xu; Li Xiong 001; Vaidy S. Sunderam (MDM, 2016)

Privacy-Preserving IR 2016: Differential Privacy, Search, and Social Media. - Grace Hui Yang; Ian Soboroff; Li Xiong 001; Charles L. A. Clarke; Simson L. Garfinkel (SIGIR, 2016)

DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. - Yonghui Xiao; Yilin Shen; Jinfei Liu; Li Xiong 001; Hongxia Jin; Xiaofeng Xu (CoRR, 2016)

On Differentially Private Longest Increasing Subsequence Computation in Data Stream. - Luca Bonomi; Li Xiong 001 (Trans. Data Priv., 2016)

EIC Editorial. - Jian Pei 001; Leman Akoglu; Hongrae Lee; Justin J. Levandoski; Xuelong Li 001; Rosa Meo; Carlos Ordonez 001; Jeff M. Phillips; Barbara Poblete; K. Selçuk Candan; Meng Wang 001; Ji-Rong Wen; et al. (IEEE Trans. Knowl. Data Eng., 2016)

Differentially Private Frequent Sequence Mining. - Shengzhi Xu; Xiang Cheng 003; Sen Su; Ke Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2016)

Fast Algorithms for Pareto Optimal Group-based Skyline. - Wenhui Yu; Zheng Qin 003; Jinfei Liu; Li Xiong 001; Xu Chen 017; Huidi Zhang (CIKM, 2017)

Mutually Private Location Proximity Detection with Access Control. - Michael G. Solomon; Vaidy S. Sunderam; Li Xiong 001; Ming Li 003 (DBSec, 2017)

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. - Ardavan Afshar; Joyce C. Ho; Bistra Dilkina; Ioakeim Perros; Elias B. Khalil; Li Xiong 001; Vaidy S. Sunderam (SIGSPATIAL/GIS, 2017)

Quantifying Differential Privacy under Temporal Correlations. - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (ICDE, 2017)

Secure Skyline Queries on Cloud Platform. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001 (ICDE, 2017)

Partitioning-Based Mechanisms Under Personalized Differential Privacy. - Haoran Li; Li Xiong 001; Zhanglong Ji; Xiaoqian Jiang (PAKDD (1), 2017)

Multi-user Itinerary Planning for Optimal Group Preference. - Liyue Fan; Luca Bonomi; Cyrus Shahabi; Li Xiong 001 (SSTD, 2017)

Eclipse: Practicability Beyond 1NN and Skyline. - Jinfei Liu; Li Xiong 001; Qiuchen Zhang; Jun Luo 007 (CoRR, 2017)

Truth Discovery for SpatioTemporal Events from Crowdsourced Data. - Daniel A. Garcia-Ulloa; Li Xiong 001; Vaidy S. Sunderam (Proc. VLDB Endow., 2017)

LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. - Yonghui Xiao; Li Xiong 001; Si Zhang; Yang Cao 011 (Proc. VLDB Endow., 2017)

A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy. - Slawomir Goryczka; Li Xiong 001 (IEEE Trans. Dependable Secur. Comput., 2017)

Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001; Jun Luo 007 (ICDE, 2018)

Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing with Untrusted Server. - Hien To; Cyrus Shahabi; Li Xiong 001 (ICDE, 2018)

Privacy Preserving Reverse k-Nearest Neighbor Queries. - Layla Pournajaf; Farnaz Tahmasebian; Li Xiong 001; Vaidy S. Sunderam; Cyrus Shahabi (MDM, 2018)

Aesthetic-based Clothing Recommendation. - Wenhui Yu; Huidi Zhang; Xiangnan He 001; Xu Chen 017; Li Xiong 001; Zheng Qin 003 (WWW, 2018)

Optimal group route query: Finding itinerary for group of users in spatial databases. - Liyue Fan; Luca Bonomi; Cyrus Shahabi; Li Xiong 001 (GeoInformatica, 2018)

Group-based keyword-aware route querying in road networks. - Sen Zhao; Lei Zhao; Sen Su; Xiang Cheng 003; Li Xiong 001 (Inf. Sci., 2018)

ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. - Yang Cao 011; Li Xiong 001; Masatoshi Yoshikawa; Yonghui Xiao; Si Zhang (Proc. VLDB Endow., 2018)

A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining. - Xiang Cheng 003; Sen Su; Shengzhi Xu; Li Xiong 001; Ke Xiao; Mingxing Zhao (IEEE Trans. Knowl. Data Eng., 2018)

Differentially Private Distributed Online Learning. - Chencheng Li; Pan Zhou 001; Li Xiong 001; Qian Wang 002; Ting Wang 006 (IEEE Trans. Knowl. Data Eng., 2018)

Selecting Optimal Subset to Release Under Differentially Private M-Estimators from Hybrid Datasets. - Meng Wang 007; Zhanglong Ji; Hyeon-Eui Kim; Shuang Wang 002; Li Xiong 001; Xiaoqian Jiang (IEEE Trans. Knowl. Data Eng., 2018)

Privacy and Security Issues in DDDAS Systems. - Li Xiong 001; Vaidy S. Sunderam; Liyue Fan; Slawomir Goryczka; Layla Pournajaf (Handbook of Dynamic Data Driven Applications Systems, 2018)

SkyRec: Finding Pareto Optimal Groups. - Jinfei Liu; Li Xiong 001; Jian Pei 001; Jun Luo 007; Haoyu Zhang; Si Zhang (CIKM, 2019)

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Joyce C. Ho; Li Xiong 001; Xiaoqian Jiang (CIKM, 2019)

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. - Xiaolan Gu; Ming Li 003; Yang Cao 011; Li Xiong 001 (CNS, 2019)

PriSTE: From Location Privacy to Spatiotemporal Event Privacy. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai (ICDE, 2019)

Group Nearest Compact POI Set Queries in Road Networks. - Sen Zhao; Li Xiong 001 (MDM, 2019)

Compressive Hyperspherical Energy Minimization. - Rongmei Lin; Weiyang Liu; Zhen Liu 019; Chen Feng 002; Zhiding Yu; James M. Rehg; Li Xiong 001; Le Song (CoRR, 2019)

Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit. - Shuaicheng Ma; Yang Cao 011; Li Xiong 001 (CoRR, 2019)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Salim El Rouayheb; et al. (CoRR, 2019)

PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai; Masatoshi Yoshikawa (Proc. VLDB Endow., 2019)

The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018) Seattle, Washington, USA November 6-9, 2018: conference report. - Ralf Hartmut Güting; Roberto Tamassia; Li Xiong 001; Farnoush Banaei Kashani; Erik G. Hoel (ACM SIGSPATIAL Special, 2019)

FastGeo: Efficient Geometric Range Queries on Encrypted Spatial Data. - Boyang Wang; Ming Li 003; Li Xiong 001 (IEEE Trans. Dependable Secur. Comput., 2019)

Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Secure and Efficient Skyline Queries on Encrypted Data. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2019)

Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries. - Wenjie Wang 008; Youngja Park; Taesung Lee; Ian M. Molloy; Pengfei Tang; Li Xiong 001 (ClinicalNLP@EMNLP, 2020)

Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001; Xiaoqian Jiang (IEEE BigData, 2020)

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. - Qiuchen Zhang; Jing Ma 005; Yonghui Xiao; Jian Lou 001; Li Xiong 001 (IEEE BigData, 2020)

Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho (CIKM, 2020)

Regularizing Neural Networks via Minimizing Hyperspherical Energy. - Rongmei Lin; Weiyang Liu; Zhen Liu 019; Chen Feng 002; Zhiding Yu; James M. Rehg; Li Xiong 001; Le Song (CVPR, 2020)

Crowdsourcing Under Data Poisoning Attacks: A Comparative Study. - Farnaz Tahmasebian; Li Xiong 001; Mani Sotoodeh; Vaidy S. Sunderam (DBSec, 2020)

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (ESORICS (1), 2020)

Providing Input-Discriminative Protection for Local Differential Privacy. - Xiaolan Gu; Ming Li 003; Li Xiong 001; Yang Cao 011 (ICDE, 2020)

Spatio-Temporal Tensor Sketching via Adaptive Sampling. - Jing Ma 005; Qiuchen Zhang; Joyce C. Ho; Li Xiong 001 (ECML/PKDD (1), 2020)

RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR. - Wenjie Wang 008; Pengfei Tang; Li Xiong 001; Xiaoqian Jiang (ECML/PKDD (4), 2020)

EdgeInfer: Robust Truth Inference under Data Poisoning Attack. - Farnaz Tahmasebian; Li Xiong 001; Mani Sotoodeh; Vaidy S. Sunderam (SMDS, 2020)

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. - Xiaolan Gu; Ming Li 003; Yueqiang Cheng; Li Xiong 001; Yang Cao 011 (USENIX Security Symposium, 2020)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Li Xiong 001; Le Song (CoRR, 2020)

Customizable and Rigorous Location Privacy through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (CoRR, 2020)

Generating sequential electronic health records using dual adversarial autoencoder. - Dongha Lee 003; Hwanjo Yu; Xiaoqian Jiang; Deevakar Rogith; Meghana Gudala; Mubeen Tejani; Qiuchen Zhang; Li Xiong 001 (J. Am. Medical Informatics Assoc., 2020)

PANDA: Policy-aware Location Privacy for Epidemic Surveillance. - Yang Cao 011; Shun Takagi; Yonghui Xiao; Li Xiong 001; Masatoshi Yoshikawa (Proc. VLDB Endow., 2020)

The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. - Chang-Tien Lu; Fusheng Wang 001; Goce Trajcevski; Yan Huang 002; Shawn D. Newsam; Li Xiong 001 (ACM SIGSPATIAL Special, 2020)

REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking. - Li Xiong 001; Cyrus Shahabi; Yanan Da; Ritesh Ahuja; Vicki Hertzberg; Lance Waller; Xiaoqian Jiang; Amy Franklin (ACM SIGSPATIAL Special, 2020)

Efficient Contour Computation of Group-Based Skyline. - Wenhui Yu; Jinfei Liu; Jian Pei 001; Li Xiong 001; Xu Chen 017; Zheng Qin 003 (IEEE Trans. Knowl. Data Eng., 2020)

Learning with Hyperspherical Uniformity. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; Li Xiong 001; Bernhard Schölkopf; Adrian Weller (AISTATS, 2021)

Privacy-Preserving Federated Biomedical Data Analysis. - Xiaoqian Jiang; Luca Bonomi; Jaideep Vaidya; Li Xiong 001; Lucila Ohno-Machado (AMIA, 2021)

Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. - Shuaicheng Ma; Tamraparni Dasu; Yaron Kanza; Divesh Srivastava; Li Xiong 001 (CIDR, 2021)

Temporal Network Embedding via Tensor Factorization. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Joyce C. Ho (CIKM, 2021)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Liam Paull; Li Xiong 001; Le Song; Adrian Weller (CVPR, 2021)

Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. - Haowen Lin; Jian Lou 001; Li Xiong 001; Cyrus Shahabi (ICCV, 2021)

REACT: Real-Time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking. - Yanan Da; Ritesh Ahuja; Li Xiong 001; Cyrus Shahabi (ICDE, 2021)

Eclipse: Generalizing kNN and Skyline. - Jinfei Liu; Li Xiong 001; Qiuchen Zhang; Jian Pei 001; Jun Luo 007 (ICDE, 2021)

Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. - Shuaicheng Ma; Yang Cao 011; Li Xiong 001 (ICDE Workshops, 2021)

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Sivasubramanium Bhavani; Joyce C. Ho (ICDM, 2021)

Private Stochastic Non-convex Optimization with Improved Utility Rates. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001 (IJCAI, 2021)

PAM: Understanding Product Images in Cross Product Category Attribute Extraction. - Rongmei Lin; Xiang He 007; Jie Feng; Nasser Zalmout; Yan Liang 004; Li Xiong 001; Xin Luna Dong (KDD, 2021)

Certified Robustness to Word Substitution Attack with Differential Privacy. - Wenjie Wang 008; Pengfei Tang; Jian Lou 001; Li Xiong 001 (NAACL-HLT, 2021)

Federated Graph Classification over Non-IID Graphs. - Han Xie; Jing Ma 005; Li Xiong 001; Carl Yang 001 (NeurIPS, 2021)

CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data. - Mani Sotoodeh; Li Xiong 001; Joyce C. Ho (PAKDD (2), 2021)

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. - Payam Karisani; Jinho D. Choi; Li Xiong 001 (SMM4H@NAACL-HLT, 2021)

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Joyce C. Ho (WWW, 2021)

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. - Salman Seyedi; Li Xiong 001; Shamim Nemati; Gari D. Clifford (CoRR, 2021)

CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data. - Mani Sotoodeh; Li Xiong 001; Joyce C. Ho (CoRR, 2021)

SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. - Haowen Lin; Jian Lou 001; Li Xiong 001; Cyrus Shahabi (CoRR, 2021)

PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy. - Xiaolan Gu; Ming Li 003; Li Xiong 001 (CoRR, 2021)

Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data. - Payam Karisani; Negin Karisani; Li Xiong 001 (CoRR, 2021)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Hubert Eichner; et al. (Found. Trends Mach. Learn., 2021)

Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. - Tsung-Ting Kuo; Tyler Bath; Shuaicheng Ma; Nicholas D. Pattengale; Meng Yang; Yang Cao 011; Corey M. Hudson; Jihoon Kim 001; Kai W. Post; Li Xiong 001; Lucila Ohno-Machado (Int. J. Medical Informatics, 2021)

Dealer: An End-to-End Model Marketplace with Differential Privacy. - Jinfei Liu; Jian Lou 001; Junxu Liu; Li Xiong 001; Jian Pei 001; Jimeng Sun 001 (Proc. VLDB Endow., 2021)

Projected Federated Averaging with Heterogeneous Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (Proc. VLDB Endow., 2021)

Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. - Jinfei Liu; Qiongqiong Lin; Jiayao Zhang 006; Kui Ren 001; Jian Lou 001; Junxu Liu; Li Xiong 001; Jian Pei 001; Jimeng Sun 001 (Proc. VLDB Endow., 2021)

Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai; Masatoshi Yoshikawa (IEEE Trans. Knowl. Data Eng., 2021)

Group-Based Skyline for Pareto Optimal Groups. - Jinfei Liu; Li Xiong 001; Jian Pei 001; Jun Luo 007; Haoyu Zhang; Wenhui Yu (IEEE Trans. Knowl. Data Eng., 2021)

Skyline Diagram: Efficient Space Partitioning for Skyline Queries. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001; Jun Luo 007; Yuzhang Guo; Shuaicheng Ma; Chenglin Fan (IEEE Trans. Knowl. Data Eng., 2021)

Visually aware recommendation with aesthetic features. - Wenhui Yu; Xiangnan He 001; Jian Pei 001; Xu Chen 017; Li Xiong 001; Jinfei Liu; Zheng Qin 003 (VLDB J., 2021)

Existing and emerging privacy challenges and solutions for federated data coordination. - Tsung-Ting Kuo; Xiaoqian Jiang; Hua Xu 001; Li Xiong 001; Lucila Ohno-Machado (AMIA, 2022)

L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. - Han Wang 021; Hanbin Hong; Li Xiong 001; Zhan Qin; Yuan Hong 001 (CCS, 2022)

RobustFed: A Truth Inference Approach for Robust Federated Learning. - Farnaz Tahmasebian; Jian Lou 001; Li Xiong 001 (CIKM, 2022)

Multi-View Active Learning for Short Text Classification in User-Generated Data. - Payam Karisani; Negin Karisani; Li Xiong 001 (EMNLP (Findings), 2022)

Federated Pruning: Improving Neural Network Efficiency with Federated Learning. - Rongmei Lin; Yonghui Xiao; Tien-Ju Yang; Ding Zhao; Li Xiong 001; Giovanni Motta; Françoise Beaufays (INTERSPEECH, 2022)

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho; Xiaoqian Jiang; Sivasubramanium Bhavani (CoRR, 2022)

Towards Training Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (CoRR, 2022)

Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001; Xiaoqian Jiang (CoRR, 2022)

Mobility Data Science (Dagstuhl Seminar 22021). - Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 011; Sanjay Chawla; Reynold Cheng; et al. (Dagstuhl Reports, 2022)

Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. - Pengfei Tang; Wenjie Wang 008; Jian Lou 001; Li Xiong 001 (IEEE Trans. Dependable Secur. Comput., 2022)

Introduction to the Special Issue on Contact Tracing. - Mohamed F. Mokbel; Li Xiong 001; Demetrios Zeinalipour-Yazti (ACM Trans. Spatial Algorithms Syst., 2022)

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. - Yixuan Liu 002; Suyun Zhao; Li Xiong 001; Yuhan Liu; Hong Chen 001 (AAAI, 2023)

Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. - Junxu Liu; Jian Lou 001; Li Xiong 001; Xiaofeng Meng 001 (CIKM, 2023)

Closed-form Machine Unlearning for Matrix Factorization. - Shuijing Zhang; Jian Lou 001; Li Xiong 001; Xiaoyu Zhang 010; Jing Liu 006 (CIKM, 2023)

Classification Auto-Encoder Based Detector Against Diverse Data Poisoning Attacks. - Fereshteh Razmi; Li Xiong 001 (DBSec, 2023)

MUter: Machine Unlearning on Adversarially Trained Models. - Junxu Liu; Mingsheng Xue; Jian Lou 001; Xiaoyu Zhang 010; Li Xiong 001; Zhan Qin (ICCV, 2023)

Dynamic Shapley Value Computation. - Jiayao Zhang 006; Haocheng Xia; Qiheng Sun; Jinfei Liu; Li Xiong 001; Jian Pei 001; Kui Ren 001 (ICDE, 2023)

EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. - Qiongqiong Lin; Yunfan Gu; Jingyan Sai; Jinfei Liu; Kui Ren 001; Li Xiong 001; Tianzhen Wang; Yanbei Pang; Sheng Wang 011; Feifei Li 001 (ICDE, 2023)

ShapleyFL: Robust Federated Learning Based on Shapley Value. - Qiheng Sun; Xiang Li 001; Jiayao Zhang 006; Li Xiong 001; Weiran Liu; Jinfei Liu; Zhan Qin; Kui Ren 001 (KDD, 2023)

CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. - Minxing Zhang; Haowen Lin; Shun Takagi; Yang Cao 011; Cyrus Shahabi; Li Xiong 001 (MDM, 2023)

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho; Xiaoqian Jiang; Sivasubramanium Venkatraman Bhavani (ML4H@NeurIPS, 2023)

Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. - Fereshteh Razmi; Jian Lou 001; Yuan Hong 001; Li Xiong 001 (ECML/PKDD (3), 2023)

Supporting Pandemic Preparedness with Privacy Enhancing Technology. - Ruixuan Liu; Sepanta Zeighami; Haowen Lin; Cyrus Shahabi; Yang Cao 011; Shun Takagi; Yoko Konishi; Masatoshi Yoshikawa; Li Xiong 001 (TPS-ISA, 2023)

Federated Node Classification over Graphs with Latent Link-type Heterogeneity. - Han Xie; Li Xiong 001; Carl Yang 001 (WWW, 2023)

Wasserstein Adversarial Examples on Univariant Time Series Data. - Wenjie Wang 008; Li Xiong 001; Jian Lou 001 (CoRR, 2023)

Challenges towards the Next Frontier in Privacy. - Rachel Cummings; Damien Desfontaines; David Evans 001; Roxana Geambasu; Matthew Jagielski; Yangsibo Huang; Peter Kairouz; Gautam Kamath 001; Sewoong Oh; Olga Ohrimenko; Nicolas Papernot; Ryan Rogers 002; et al. (CoRR, 2023)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum. - Xiaolan Gu; Ming Li 003; Li Xiong 001 (CoRR, 2023)

Towards Mobility Data Science (Vision Paper). - Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 011; Sanjay Chawla; Reynold Cheng; et al. (CoRR, 2023)

Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection. - Sivasubramanium V. Bhavani; Li Xiong 001; Abish Pius; Matthew W. Semler; Edward T. Qian; Philip A. Verhoef; Chad Robichaux; Craig M. Coopersmith; Matthew M. Churpek (J. Am. Medical Informatics Assoc., 2023)

Efficient Sampling Approaches to Shapley Value Approximation. - Jiayao Zhang 006; Qiheng Sun; Jinfei Liu; Li Xiong 001; Jian Pei 001; Kui Ren 001 (Proc. ACM Manag. Data, 2023)

Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. - Haocheng Xia; Jinfei Liu; Jian Lou 001; Zhan Qin; Kui Ren 001; Yang Cao 011; Li Xiong 001 (Proc. VLDB Endow., 2023)

CIKM 2022 Conference Report. - Mohammad Al Hasan; Li Xiong 001 (SIGWEB Newsl., 2023)

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. - Wenjie Wang 008; Pengfei Tang; Jian Lou 001; Yuanming Shao; Lance Waller; Yi-an Ko; Li Xiong 001 (AAAI, 2024)

Cross-silo Federated Learning with Record-level Personalized Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (CCS, 2024)

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. - Ruixuan Liu; Tianhao Wang 001; Yang Cao 011; Li Xiong 001 (CCS, 2024)

TabularMark: Watermarking Tabular Datasets for Machine Learning. - Yihao Zheng; Haocheng Xia; Junyuan Pang; Jinfei Liu; Kui Ren 001; Lingyang Chu; Yang Cao 011; Li Xiong 001 (CCS, 2024)

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. - Yixuan Liu 002; Yuhan Liu; Li Xiong 001; Yujie Gu; Hong Chen 001 (CIKM, 2024)

Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing. - Han Xie; Li Xiong 001; Carl Yang 001 (CIKM, 2024)

Does Differential Privacy Prevent Backdoor Attacks in Practice? - Fereshteh Razmi; Jian Lou 001; Li Xiong 001 (DBSec, 2024)

Share: Stackelberg-Nash based Data Markets. - Yuran Bi; Jinfei Liu; Chen Zhao; Junyi Zhao; Kui Ren 001; Li Xiong 001 (ICDE, 2024)

When Data Pricing Meets Non-Cooperative Game Theory. - Yuran Bi; Yihang Wu; Jinfei Liu; Kui Ren 001; Li Xiong 001 (ICDE, 2024)

Controllable Visit Trajectory Generation with Spatiotemporal Constraints. - Haowen Lin; John Krumm; Cyrus Shahabi; Li Xiong 001 (ICDM, 2024)

Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models. - Sangmi Kim; Melinda K. Higgins; Patricia Brennan; George M. Slavich; Li Xiong 001; Vicki Hertzberg; Ursula Kelly; Anne L. Dunlop (Nursing Informatics, 2024)

Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes. - Haowen Lin; Yao-Yi Chiang; Li Xiong 001; Cyrus Shahabi (SDM, 2024)

Patient-Centered and Practical Privacy to Support AI for Healthcare. - Ruixuan Liu; Hong-Kyu Lee; Sivasubramanium V. Bhavani; Xiaoqian Jiang; Lucila Ohno-Machado; Li Xiong 001 (TPS-ISA, 2024)

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Hong-Kyu Lee; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (WWW, 2024)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Jian Lou 001; Li Xiong 001 (CoRR, 2024)

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. - Yixuan Liu 002; Li Xiong 001; Yuhan Liu; Yujie Gu; Ruixuan Liu; Hong Chen 001 (CoRR, 2024)

Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints. - Siyu Li; Toan Tran; Haowen Lin; John Krumm; Cyrus Shahabi; Li Xiong 001 (CoRR, 2024)

A Survey on Data Markets. - Jiayao Zhang 006; Yuran Bi; Mengye Cheng; Jinfei Liu; Kui Ren 001; Qiheng Sun; Yihang Wu; Yang Cao 011; Raul Castro Fernandez; Haifeng Xu; Ruoxi Jia 001; Yongchan Kwon; et al. (CoRR, 2024)

ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation. - Ruixuan Liu; Toan Tran; Tianhao Wang 001; Hongsheng Hu; Shuo Wang; Li Xiong 001 (CoRR, 2024)

P-Shapley: Shapley Values on Probabilistic Classifiers. - Haocheng Xia; Xiang Li 001; Junyuan Pang; Jinfei Liu; Kui Ren 001; Li Xiong 001 (Proc. VLDB Endow., 2024)

Cross-silo Federated Learning with Record-level Personalized Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (Zenodo, 2024)

Mobility Data Science: Perspectives and Challenges. - Mohamed F. Mokbel; Mahmoud Attia Sakr; Li Xiong 001; Andreas Züfle; Jussara M. Almeida; Taylor Anderson 001; Walid G. Aref; Gennady L. Andrienko; Natalia V. Andrienko; Yang Cao 011; Sanjay Chawla; Reynold Cheng; et al. (ACM Trans. Spatial Algorithms Syst., 2024)

Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. - Andreas Züfle; Flora D. Salim; Taylor Anderson 001; Matthew Scotch; Li Xiong 001; Kacper Sokol; Hao Xue 001; Ruochen Kong; David J. Heslop; Hye-Young Paik; C. Raina MacIntyre (ACM Trans. Spatial Algorithms Syst., 2024)

Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy. - Fumiyuki Kato; Li Xiong 001; Shun Takagi; Yang Cao 011; Masatoshi Yoshikawa (Proc. VLDB Endow., 2024)

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. - Shun Takagi; Li Xiong 001; Fumiyuki Kato; Yang Cao 011; Masatoshi Yoshikawa (Proc. VLDB Endow., 2024)

Front Matter. - Meihui Zhang 001; Cyrus Shahabi; Ju Fan; Yang Cao 011; Xiaoou Ding; Divesh Srivastava; Nesime Tatbul; Sihem Amer-Yahia; Yongxin Tong; Yuncheng Wu; Li Xiong 001; Torsten Grust; et al. (Proc. VLDB Endow., 2024)

Shapley Value Approximation Based on Complementary Contribution. - Qiheng Sun; Jiayao Zhang 006; Jinfei Liu; Li Xiong 001; Jian Pei 001; Kui Ren 001 (IEEE Trans. Knowl. Data Eng., 2024)

Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training. - Toan Tran; Ruixuan Liu; Li Xiong 001 (ACL (Findings), 2025)

Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Constraints. - Siyu Li; Toan Tran; Haowen Lin; John Krumm; Cyrus Shahabi; Lingyi Zhao; Khurram Shafique; Li Xiong 001 (MDM, 2025)

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models. - Yue Xu; Chengyan Fu; Li Xiong 001; Sibei Yang; Wenjie Wang 008 (CoRR, 2025)

Node-level Contrastive Unlearning on Graph Neural Networks. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Li Xiong 001 (CoRR, 2025)

Sharpness-Aware Parameter Selection for Machine Unlearning. - Saber Malekmohammadi; Hong-Kyu Lee; Li Xiong 001 (CoRR, 2025)

Privacy and Accuracy-Aware AI/ML Model Deduplication. - Hong Guan; Lei Yu 002; Lixi Zhou; Li Xiong 001; Kanchan Chowdhury; Lulu Xie; Xusheng Xiao; Jia Zou 001 (Proc. ACM Manag. Data, 2025)

Computing Shapley Values for Dynamic Data. - Haocheng Xia; Jiayao Zhang 006; Qiheng Sun; Jinfei Liu; Kui Ren 001; Li Xiong 001; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2025)

TransFed: cross-domain feature alignment for semi-supervised federated transfer learning. - Linghui Zeng; Ruixuan Liu; Li Xiong 001; Joyce C. Ho (Mach. Learn., 2025)