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2020 – today
- 2025
[j18]Jun Feng
, Yefan Wu, Hong Sun, Shunli Zhang, Debin Liu:
Panther: Practical Secure Two-Party Neural Network Inference. IEEE Trans. Inf. Forensics Secur. 20: 1149-1162 (2025)- 2024
- [j17]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): 25682-25693 (2024) - [j16]Debin Liu, Xiang Bai, Ruonan Zhao, Xianjun Deng, Laurence T. Yang:
Dual-Grained Lightweight Strategy. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10228-10245 (2024) - [j15]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): 3341-3351 (2024) - [j14]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): 3535-3547 (2024) - [j13]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): 8719-8729 (2024) - [j12]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): 2574-2585 (2024) - [j11]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): 33:1-33:21 (2024) - [c10]Jinglin Zhao, Debin Liu, Laurence T. Yang, Ruonan Zhao, Zheng Wang, Zhe Li:
TD3D: Tensor-based Discrete Diffusion Process for 3D Shape Generation. ICME 2024: 1-6 - [c9]Wenrui Zhu, Qiankun Li, Debin Liu, Zengfu Wang:
DeepSweep: Real-Time Multi-View 3D Pose Estimation Via Cross-View Deep Matching and Plane Sweeping. PRCV (11) 2024: 518-532 - 2023
- [j10]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): 1909-1940 (2023) - [j9]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): 20285-20296 (2023) - [c8]Qiankun Li, Huabao Chen, Debin Liu, Zengyu Qiu, Zengfu Wang:
Plug-and-Play Multi-class Lane Detection Module. AMC-SME 2023: 19-23 - 2022
- [j8]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): 2678-2687 (2022) - [j7]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): 2853-2862 (2022) - [j6]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): 41:1-41:17 (2022)
2010 – 2019
- 2017
- [c7]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: 980-985 - 2014
- [j5]Chaoqun Ma, Debin Liu, Zhongbao Zhou, Wei Zhao, Wenbin Liu:
Game Cross Efficiency for Systems with Two-Stage Structures. J. Appl. Math. 2014: 747596:1-747596:8 (2014) - 2012
- [j4]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): 2227-2231 (2012) - 2011
- [j3]Debin Liu, Ninghui Li, XiaoFeng Wang, L. Jean Camp:
Security Risk Management Using Incentives. IEEE Secur. Priv. 9(6): 20-28 (2011) - [c6]Debin Liu, Ninghui Li, XiaoFeng Wang, L. Jean Camp:
Beyond Risk-Based Access Control: Towards Incentive-Based Access Control. Financial Cryptography 2011: 102-112 - 2010
- [j2]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): 29-45 (2010)
2000 – 2009
- 2009
- [c5]Debin Liu, XiaoFeng Wang, L. Jean Camp:
Mitigating Inadvertent Insider Threats with Incentives. Financial Cryptography 2009: 1-16 - 2008
- [j1]Debin Liu, XiaoFeng Wang, L. Jean Camp:
Game-theoretic modeling and analysis of insider threats. Int. J. Crit. Infrastructure Prot. 1: 75-80 (2008) - 2007
- [c4]Vivek Anandpara, Andrew Dingman, Markus Jakobsson, Debin Liu, Heather Roinestad:
Phishing IQ Tests Measure Fear, Not Ability. Financial Cryptography 2007: 362-366 - [c3]Farzaneh Asgharpour, Debin Liu, L. Jean Camp:
Mental Models of Security Risks. Financial Cryptography 2007: 367-377 - [c2]Farzaneh Asgharpour, Debin Liu, L. Jean Camp:
Mental Models of Computer Security Risks. WEIS 2007 - 2006
- [c1]Debin Liu, L. Jean Camp:
Proof of Work can Work. WEIS 2006
Coauthor Index
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last updated on 2025-02-18 02:21 CET by the dblp team
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