Xiao Han

59 papers A* 7B 6C 1Journal 38Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data Valuation for Vertical Federated Learning: A Model-Free and Privacy-Preserving Method.
MIS Q.
Xiao Han, Leye Wang, Junjie Wu, Xiao Fang
2026 J jnl
Membership Inference Attack Against Time-Series Prediction Models.
IEEE Trans. Dependable Secur. Comput.
Qingwen Li, Xiao Han, Ruiyan Wang, Junjie Wu, Lanjuan Liu
2025 J jnl
Learning-Based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks.
IEEE Trans. Inf. Forensics Secur.
Yucheng Wu, Yuncong Yang, Xiao Han, Leye Wang, Junjie Wu
2025 J jnl
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks.
CoRR
Yucheng Wu, Yuncong Yang, Xiao Han, Leye Wang, Junjie Wu
2025 J jnl
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration.
CoRR
Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin, Leye Wang
2025 J jnl
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Edge Healthcare Collaboration.
IEEE Trans. Mob. Comput.
Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin, Leye Wang
2024 A* conf
Graph Contrastive Learning with Cohesive Subgraph Awareness.
WWW
Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
2024 J jnl
Graph Contrastive Learning with Cohesive Subgraph Awareness.
CoRR
Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
2024 J jnl
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing.
IEEE Trans. Knowl. Data Eng.
Xiao Han, Yuncong Yang, Junjie Wu, Hui Xiong
2024 J jnl
Privacy-Preserving Network Embedding Against Private Link Inference Attacks.
IEEE Trans. Dependable Secur. Comput.
Xiao Han, Yuncong Yang, Leye Wang, Junjie Wu
2024 J jnl
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression Against Heterogeneous Attacks Toward AI Software Deployment.
IEEE Trans. Software Eng.
Jie Zhu, Leye Wang, Xiao Han, Anmin Liu, Tao Xie
2024 J jnl
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment.
CoRR
Jie Zhu, Leye Wang, Xiao Han, Anmin Liu, Tao Xie
2023 — conf
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks.
ACL (Findings)
Ruiqing Ding, Xiao Han, Leye Wang
2023 J jnl
Cost-Effective Social Media Influencer Marketing.
INFORMS J. Comput.
Xiao Han, Leye Wang, Weiguo Fan
2023 A* conf
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals.
WWW
Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang
2023 J jnl
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals.
CoRR
Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang
2023 J jnl
Federated Truth Discovery for Mobile Crowdsensing with Privacy-Preserving Trustworthiness Assessment.
IEEE Data Eng. Bull.
Leye Wang, Guanghong Fan, Xiao Han
2023 A* conf
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks.
WWW
Chung-ju Huang, Leye Wang, Xiao Han
2023 J jnl
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks.
CoRR
Chung-ju Huang, Leye Wang, Xiao Han
2023 J jnl
Video summarization for event-centric videos.
Neural Networks
Qingwen Li, Jianni Chen, Qiqin Xie, Xiao Han
2022 J jnl
A Unified Knowledge Graph Service for Developing Domain Language Models in AI Software.
CoRR
Ruiqing Ding, Xiao Han, Leye Wang
2022 J jnl
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks.
CoRR
Xiao Han, Leye Wang, Junjie Wu, Yuncong Yang
2022 A* conf
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment.
ASE
Jie Zhu, Leye Wang, Xiao Han
2022 J jnl
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment.
CoRR
Jie Zhu, Leye Wang, Xiao Han
2021 J jnl
Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach.
CoRR
Xiao Han, Leye Wang, Junjie Wu
2021 J jnl
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing.
CoRR
Xiao Han, Yuncong Yang, Junjie Wu
2021 J jnl
Is Hidden Safe? Location Protection against Machine-Learning Prediction Attacks in Social Networks.
MIS Q.
Xiao Han, Leye Wang, Weiguo Fan
2021 A* conf
Label Confusion Learning to Enhance Text Classification Models.
AAAI
Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu
2021 J jnl
Mobile Crowdsourcing Task Allocation with Differential-and-Distortion Geo-Obfuscation.
IEEE Trans. Dependable Secur. Comput.
Leye Wang, Dingqi Yang, Xiao Han, Daqing Zhang, Xiaojuan Ma
2020 J jnl
Federated Crowdsensing: Framework and Challenges.
CoRR
Leye Wang, Han Yu, Xiao Han
2020 J jnl
Label Confusion Learning to Enhance Text Classification Models.
CoRR
Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu
2020 J jnl
Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy.
IEEE Trans. Inf. Forensics Secur.
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiao Han, Xiaojuan Ma
2019 J jnl
CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning.
CoRR
Xiao Han, Ruiqing Ding, Leye Wang, Hailiang Huang
2019 J jnl
F-PAD: Private Attribute Disclosure Risk Estimation in Online Social Networks.
IEEE Trans. Dependable Secur. Comput.
Xiao Han, Hailiang Huang, Leye Wang
2018 A* conf
Geographic Differential Privacy for Mobile Crowd Coverage Maximization.
AAAI
Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma
2018 J jnl
SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing.
ACM Trans. Intell. Syst. Technol.
Leye Wang, Daqing Zhang, Dingqi Yang, Animesh Pathak, Chao Chen, Xiao Han, Haoyi Xiong, Yasha Wang
2017 J jnl
Analysis of publicly disclosed information in Facebook profiles.
CoRR
Reza Farahbakhsh, Xiao Han, Ángel Cuevas, Noël Crespi
2017 C conf
Deep Investment Behavior Profiling by Recurrent Neural Network in P2P Lending.
ICIS
Xiao Han, Leye Wang, Hailiang Huang
2017 — conf
Evolution of Publicly Disclosed Information in Facebook Profiles.
TrustCom/BigDataSE/ICESS
Reza Farahbakhsh, Samin Mohammadi, Xiao Han, Ángel Cuevas, Noël Crespi
2017 J jnl
Geographic Differential Privacy for Mobile Crowd Coverage Maximization.
CoRR
Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma
2017 J jnl
How far is Facebook from me? Facebook network infrastructure analysis.
CoRR
Reza Farahbakhsh, Ángel Cuevas, Antonio Manuel Ortiz, Xiao Han, Noël Crespi
2017 A* conf
Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation.
WWW
Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma
2016 — conf
An Empirical Study on Preference Distribution of Facebook Users.
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld
Leye Wang, Xiao Han, Longbiao Chen
2016 — conf
Are You Really Hidden? Estimating current City Exposure Risk in Online Social Networks.
PACIS
Xiao Han, Leye Wang
2016 J jnl
CSD: A multi-user similarity metric for community recommendation in online social networks.
Expert Syst. Appl.
Xiao Han, Leye Wang, Reza Farahbakhsh, Ángel Cuevas, Rubén Cuevas, Noël Crespi, Lina He
2016 J jnl
Sparse mobile crowdsensing: challenges and opportunities.
IEEE Commun. Mag.
Leye Wang, Daqing Zhang, Yasha Wang, Chao Chen, Xiao Han, Abdallah M'hamed
2015 J jnl
Alike people, alike interests? Inferring interest similarity in online social networks.
Decis. Support Syst.
Xiao Han, Leye Wang, Noël Crespi, Soochang Park, Ángel Cuevas
2015 J jnl
Are You Really Hidden? Predicting Current City from Profile and Social Relationship.
CoRR
Xiao Han, Leye Wang, Jiangtao Wen, Ángel Cuevas, Chao Chen, Noël Crespi
2015 J jnl
How far is Facebook from me? Facebook network infrastructure analysis.
IEEE Commun. Mag.
Reza Farahbakhsh, Ángel Cuevas, Antonio Manuel Ortiz, Xiao Han, Noël Crespi
2015 — conf
Link prediction for new users in Social Networks.
ICC
Xiao Han, Leye Wang, Son N. Han, Chao Chen, Noël Crespi, Reza Farahbakhsh
2015 — —
Mining user similarity in online social networks : analysis,modeling and applications. (Fouille de similarité de l'utilisateur dans les réseaux sociaux : analyse, modélisation et applications).
Xiao Han
2014 B conf
Alike people, alike interests? A large-scale study on interest similarity in social networks.
ASONAM
Xiao Han, Leye Wang, Soochang Park, Ángel Cuevas, Noël Crespi
2014 J jnl
On exploiting social relationship and personal background for content discovery in P2P networks.
Future Gener. Comput. Syst.
Xiao Han, Ángel Cuevas, Noël Crespi, Rubén Cuevas, Xiaodi Huang
2014 — conf
Taxi Exp: A Novel Framework for City-Wide Package Express Shipping via Taxi Crowd Sourcing.
UIC/ATC/ScalCom
Chao Chen, Daqing Zhang, Leye Wang, Xiaojuan Ma, Xiao Han, Edwin Hsing-Mean Sha
2013 B conf
"Current City" prediction for coarse location based applications on Facebook.
GLOBECOM
Wipada Chanthaweethip, Xiao Han, Noël Crespi, Yuanfang Chen, Reza Farahbakhsh, Ángel Cuevas
2013 B conf
A Framework for Social Device Networking.
DCOSS
Dina Hussein, Son N. Han, Xiao Han, Gyu Myoung Lee, Noël Crespi
2013 B conf
Analysis of publicly disclosed information in Facebook profiles.
ASONAM
Reza Farahbakhsh, Xiao Han, Ángel Cuevas, Noël Crespi
2013 B conf
Reality Mining: Digging the Impact of Friendship and Location on Crowd Behavior.
MASS
Yuanfang Chen, Lei Shu, Xiao Han, Lin Lv, Xuemin Cheng
2013 B conf
WX-MAC: An Energy Efficient MAC Protocol for Wireless Sensor Networks.
MASS
Xiao Han, Lei Shu, Yuanfang Chen, Hairui Zhou