Xiao Han

According to our database, Xiao Han authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression Against Heterogeneous Attacks Toward AI Software Deployment.

Jie Zhu, Leye Wang, Xiao Han, Anmin Liu, Tao Xie

IEEE Trans. Software Eng., March, 2024

Privacy-Preserving Network Embedding Against Private Link Inference Attacks.

Xiao Han, Yuncong Yang, Leye Wang, Junjie Wu

IEEE Trans. Dependable Secur. Comput., 2024

Graph Contrastive Learning with Cohesive Subgraph Awareness.

Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye

CoRR, 2024

Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment.

Jie Zhu, Leye Wang, Xiao Han, Anmin Liu, Tao Xie

CoRR, 2024

2023

Federated Truth Discovery for Mobile Crowdsensing with Privacy-Preserving Trustworthiness Assessment.

Leye Wang, Guanghong Fan, Xiao Han

IEEE Data Eng. Bull., 2023

Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks.

Chung-ju Huang, Leye Wang, Xiao Han

Proceedings of the ACM Web Conference 2023, 2023

Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals.

Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang

Proceedings of the ACM Web Conference 2023, 2023

A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks.

Ruiqing Ding, Xiao Han, Leye Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Unified Knowledge Graph Service for Developing Domain Language Models in AI Software.

Ruiqing Ding, Xiao Han, Leye Wang

CoRR, 2022

Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks.

Xiao Han, Leye Wang, Junjie Wu, Yuncong Yang

CoRR, 2022

Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment.

Jie Zhu, Leye Wang, Xiao Han

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

Mobile Crowdsourcing Task Allocation with Differential-and-Distortion Geo-Obfuscation.

Leye Wang, Dingqi Yang, Xiao Han, Daqing Zhang, Xiaojuan Ma

IEEE Trans. Dependable Secur. Comput., 2021

Is Hidden Safe? Location Protection against Machine-Learning Prediction Attacks in Social Networks.

Xiao Han, Leye Wang, Weiguo Fan

MIS Q., 2021

Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach.

Xiao Han, Leye Wang, Junjie Wu

CoRR, 2021

HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing.

Xiao Han, Yuncong Yang, Junjie Wu

CoRR, 2021

Label Confusion Learning to Enhance Text Classification Models.

Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy.

Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiao Han, Xiaojuan Ma

IEEE Trans. Inf. Forensics Secur., 2020

Federated Crowdsensing: Framework and Challenges.

Leye Wang, Han Yu, Xiao Han

CoRR, 2020

2019

F-PAD: Private Attribute Disclosure Risk Estimation in Online Social Networks.

Xiao Han, Hailiang Huang, Leye Wang

IEEE Trans. Dependable Secur. Comput., 2019

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning.

Xiao Han, Ruiqing Ding, Leye Wang, Hailiang Huang

CoRR, 2019

2018

SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing.

Leye Wang, Daqing Zhang, Dingqi Yang, Animesh Pathak, Chao Chen, Xiao Han, Haoyi Xiong, Yasha Wang

ACM Trans. Intell. Syst. Technol., 2018

Geographic Differential Privacy for Mobile Crowd Coverage Maximization.

Leye Wang, Gehua Qin, Dingqi Yang, Xiao Han, Xiaojuan Ma

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Location Privacy-Preserving Task Allocation for Mobile Crowdsensing with Differential Geo-Obfuscation.

Leye Wang, Dingqi Yang, Xiao Han, Tianben Wang, Daqing Zhang, Xiaojuan Ma

Proceedings of the 26th International Conference on World Wide Web, 2017

Evolution of Publicly Disclosed Information in Facebook Profiles.

Reza Farahbakhsh, Samin Mohammadi, Xiao Han, Ángel Cuevas, Noël Crespi

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Deep Investment Behavior Profiling by Recurrent Neural Network in P2P Lending.

Xiao Han, Leye Wang, Hailiang Huang

Proceedings of the International Conference on Information Systems, 2017

2016

CSD: A multi-user similarity metric for community recommendation in online social networks.

Xiao Han, Leye Wang, Reza Farahbakhsh, Ángel Cuevas, Rubén Cuevas, Noël Crespi, Lina He

Expert Syst. Appl., 2016

Sparse mobile crowdsensing: challenges and opportunities.

Leye Wang, Daqing Zhang, Yasha Wang, Chao Chen, Xiao Han, Abdallah M'hamed

IEEE Commun. Mag., 2016

An Empirical Study on Preference Distribution of Facebook Users.

Leye Wang, Xiao Han, Longbiao Chen

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Are You Really Hidden? Estimating current City Exposure Risk in Online Social Networks.

Xiao Han, Leye Wang

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

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

PhD thesis, 2015

Alike people, alike interests? Inferring interest similarity in online social networks.

Xiao Han, Leye Wang, Noël Crespi, Soochang Park, Ángel Cuevas

Decis. Support Syst., 2015

Are You Really Hidden? Predicting Current City from Profile and Social Relationship.

Xiao Han, Leye Wang, Jiangtao Wen, Ángel Cuevas, Chao Chen, Noël Crespi

CoRR, 2015

How far is Facebook from me? Facebook network infrastructure analysis.

Reza Farahbakhsh, Ángel Cuevas, Antonio Manuel Ortiz, Xiao Han, Noël Crespi

IEEE Commun. Mag., 2015

Link prediction for new users in Social Networks.

Xiao Han, Leye Wang, Son N. Han, Chao Chen, Noël Crespi, Reza Farahbakhsh

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

On exploiting social relationship and personal background for content discovery in P2P networks.

Xiao Han, Ángel Cuevas, Noël Crespi, Rubén Cuevas, Xiaodi Huang

Future Gener. Comput. Syst., 2014

Taxi Exp: A Novel Framework for City-Wide Package Express Shipping via Taxi Crowd Sourcing.

Chao Chen, Daqing Zhang, Leye Wang, Xiaojuan Ma, Xiao Han, Edwin Hsing-Mean Sha

Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

Alike people, alike interests? A large-scale study on interest similarity in social networks.

Xiao Han, Leye Wang, Soochang Park, Ángel Cuevas, Noël Crespi

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

"Current City" prediction for coarse location based applications on Facebook.

Wipada Chanthaweethip, Xiao Han, Noël Crespi, Yuanfang Chen, Reza Farahbakhsh, Ángel Cuevas

Proceedings of the 2013 IEEE Global Communications Conference, 2013

A Framework for Social Device Networking.

Dina Hussein, Son N. Han, Xiao Han, Gyu Myoung Lee, Noël Crespi

Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2013

Analysis of publicly disclosed information in Facebook profiles.

Reza Farahbakhsh, Xiao Han, Ángel Cuevas, Noël Crespi

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013