Debin Liu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 13

Top Topics

Transportation Systems

Convolutional Neural Networks

Top Venues

IEEE Trans. Intell. Transp. Syst.

ACM Trans. Multim. Comput. Commun. Appl.

IEEE Internet Things J.

Publications

Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu, Chenlu Zhu, Yiheng Ruan
Tensor-Empowered LSTM for Communication-Efficient and Privacy-Enhanced Cognitive Federated Learning in Intelligent Transportation Systems. ACM Trans. Multim. Comput. Commun. Appl. 20 (2) (2024)
Ruonan Zhao, Laurence T. Yang, Debin Liu, Xianjun Deng, Xueming Tang, Sahil Garg
Tensor-Based Secure Truthful Incentive Mechanism for Mobile Crowdsourcing in IoT-Enabled Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Debin Liu, Laurence T. Yang, Ruonan Zhao, Jinhua Cui, Xiangli Yang
An Efficient Tensor-Based Transformer for Industrial Internet of Things. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Ruonan Zhao, Laurence T. Yang, Debin Liu, Xiaokang Zhou, Xianjun Deng, Xueming Tang
A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Honglu Zhao, Laurence T. Yang, Zecan Yang, Debin Liu, Xin Nie, Bocheng Ren
Sparse Bayesian Tensor Completion for Data Recovery in Intelligent IoT Systems. IEEE Internet Things J. 11 (15) (2024)
Debin Liu, Laurence T. Yang, Ruonan Zhao, Xianjun Deng, Chenlu Zhu, Yiheng Ruan
Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation System Edge Devices. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu
Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space-Air-Ground-Integrated IoT. IEEE Internet Things J. 10 (23) (2023)
Qiankun Li, Huabao Chen, Debin Liu, Zengyu Qiu, Zengfu Wang
Plug-and-Play Multi-class Lane Detection Module. AMC-SME (2023)
Laurence T. Yang, Ruonan Zhao, Debin Liu, Wanli Lu, Xianjun Deng
Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems. IEEE Commun. Surv. Tutorials 25 (3) (2023)
Debin Liu, Laurence T. Yang, Ruonan Zhao, Jiawei Wang, Xia Xie
Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Ruonan Zhao, Laurence T. Yang, Debin Liu, Xianjun Deng, Yijun Mo
A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Debin Liu, Laurence T. Yang, Puming Wang, Ruonan Zhao, Qingchen Zhang
TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. 18 (1s) (2022)
Ye Wang, Yuanjiang Huang, Wu Zheng, Zhi Zhou, Debin Liu, Mi Lu
Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA. ICIT (2017)
Chaoqun Ma, Debin Liu, Zhongbao Zhou, Wei Zhao, Wenbin Liu
Game Cross Efficiency for Systems with Two-Stage Structures. J. Appl. Math. 2014 (2014)
Zhongbao Zhou, Siya Lui, Chaoqun Ma, Debin Liu, Wenbin Liu
Fuzzy data envelopment analysis models with assurance regions: A note. Expert Syst. Appl. 39 (2) (2012)
Debin Liu, Ninghui Li, XiaoFeng Wang, L. Jean Camp
Security Risk Management Using Incentives. IEEE Secur. Priv. 9 (6) (2011)
Debin Liu, Ninghui Li, XiaoFeng Wang, L. Jean Camp
Beyond Risk-Based Access Control: Towards Incentive-Based Access Control. Financial Cryptography (2011)
Debin Liu, L. Jean Camp, XiaoFeng Wang, Lusha Wang
Using Budget-Based Access Control to Manage Operational Risks Caused by Insiders. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 1 (1) (2010)
Debin Liu, XiaoFeng Wang, L. Jean Camp
Mitigating Inadvertent Insider Threats with Incentives. Financial Cryptography (2009)
Debin Liu, XiaoFeng Wang, L. Jean Camp
Game-theoretic modeling and analysis of insider threats. Int. J. Crit. Infrastructure Prot. 1 (2008)
Farzaneh Asgharpour, Debin Liu, L. Jean Camp
Mental Models of Computer Security Risks. WEIS (2007)
Farzaneh Asgharpour, Debin Liu, L. Jean Camp
Mental Models of Security Risks. Financial Cryptography (2007)
Vivek Anandpara, Andrew Dingman, Markus Jakobsson, Debin Liu, Heather Roinestad
Phishing IQ Tests Measure Fear, Not Ability. Financial Cryptography (2007)
Debin Liu, L. Jean Camp
Proof of Work can Work. WEIS (2006)