Debin Liu

According to our database, Debin Liu authored at least 34 papers between 2006 and 2025.

Collaborative distances:

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

2025

TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussian.

Shijie Lian, Ziyi Zhang, Laurence Tianruo Yang and, Mengyu Ren, Debin Liu, Hua Li

CoRR, May, 2025

Lightweight Tensor-Enabled GRU for Trustworthy and Communication Efficient Federated Learning in Industrial IoT.

Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu, Xiangli Yang

IEEE Trans. Ind. Informatics, March, 2025

Tensor-Empowered Lightweight Representations for Personalized Federated Learning in Heterogeneous 6G Networks.

Ruonan Zhao, Laurence T. Yang, Debin Liu, Xiangli Yang, Meiqi Wang

IEEE Netw., March, 2025

Tensor-Empowered Hardware-Friendly Lightweight Deep Neural Networks for Vehicular Edge Computing.

Debin Liu, Laurence T. Yang, Ruonan Zhao, Xiaokang Wang, Zhe Li, Honglu Zhao, Jinhua Cui

IEEE Trans. Consumer Electron., February, 2025

Bayesian Nonnegative Tensor Completion With Automatic Rank Determination.

Zecan Yang, Laurence T. Yang, Huaimin Wang, Honglu Zhao, Debin Liu

IEEE Trans. Image Process., 2025

Improving Ethereum Mixing Address Linking With Tensor Computation, Neighbor Data Utilization, and Asymmetric Information Modeling.

Shuilong Wang, Laurence T. Yang, Debin Liu, Ruonan Zhao, Xianjun Deng, Cannian Zou, Xiaoxuan Fan

IEEE Trans. Inf. Forensics Secur., 2025

Panther: Practical Secure Two-Party Neural Network Inference.

Jun Feng, Yefan Wu, Hong Sun, Shunli Zhang, Debin Liu

IEEE Trans. Inf. Forensics Secur., 2025

THPFF: A tensor-based high-precision feature fusion model for multi-source data in smart healthcare systems.

Songhe Yuan, Laurence T. Yang, Debin Liu, Xiaokang Wang, Jieming Yang

Inf. Fusion, 2025

2024

Dual-Grained Lightweight Strategy.

Debin Liu, Xiang Bai, Ruonan Zhao, Xianjun Deng, Laurence T. Yang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation System Edge Devices.

Debin Liu, Laurence T. Yang, Ruonan Zhao, Xianjun Deng, Chenlu Zhu, Yiheng Ruan

IEEE Trans. Intell. Transp. Syst., August, 2024

A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario.

Ruonan Zhao, Laurence T. Yang, Debin Liu, Xiaokang Zhou, Xianjun Deng, Xueming Tang

IEEE Trans. Intell. Transp. Syst., May, 2024

Tensor-Empowered LSTM for Communication-Efficient and Privacy-Enhanced Cognitive Federated Learning in Intelligent Transportation Systems.

Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu, Chenlu Zhu, Yiheng Ruan

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

An Efficient Tensor-Based Transformer for Industrial Internet of Things.

Debin Liu, Laurence T. Yang, Ruonan Zhao, Jinhua Cui, Xiangli Yang

IEEE Trans. Netw. Sci. Eng., 2024

Sparse Bayesian Tensor Completion for Data Recovery in Intelligent IoT Systems.

Honglu Zhao, Laurence T. Yang, Zecan Yang, Debin Liu, Xin Nie, Bocheng Ren

IEEE Internet Things J., 2024

DeepSweep: Real-Time Multi-View 3D Pose Estimation Via Cross-View Deep Matching and Plane Sweeping.

Wenrui Zhu, Qiankun Li, Debin Liu, Zengfu Wang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

TD3D: Tensor-based Discrete Diffusion Process for 3D Shape Generation.

Jinglin Zhao, Debin Liu, Laurence T. Yang, Ruonan Zhao, Zheng Wang, Zhe Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space-Air-Ground-Integrated IoT.

Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu

IEEE Internet Things J., 2023

Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems.

Laurence T. Yang, Ruonan Zhao, Debin Liu, Wanli Lu, Xianjun Deng

IEEE Commun. Surv. Tutorials, 2023

Plug-and-Play Multi-class Lane Detection Module.

Qiankun Li, Huabao Chen, Debin Liu, Zengyu Qiu, Zengfu Wang

Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

2022

TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare.

Debin Liu, Laurence T. Yang, Puming Wang, Ruonan Zhao, Qingchen Zhang

ACM Trans. Multim. Comput. Commun. Appl., 2022

A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing.

Ruonan Zhao, Laurence T. Yang, Debin Liu, Xianjun Deng, Yijun Mo

IEEE Trans. Intell. Transp. Syst., 2022

Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems.

Debin Liu, Laurence T. Yang, Ruonan Zhao, Jiawei Wang, Xia Xie

IEEE Trans. Intell. Transp. Syst., 2022

2017

Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA.

Ye Wang, Yuanjiang Huang, Wu Zheng, Zhi Zhou, Debin Liu, Mi Lu

Proceedings of the IEEE International Conference on Industrial Technology, 2017

2014

Game Cross Efficiency for Systems with Two-Stage Structures.

Chaoqun Ma, Debin Liu, Zhongbao Zhou, Wei Zhao, Wenbin Liu

J. Appl. Math., 2014

2012

Fuzzy data envelopment analysis models with assurance regions: A note.

Zhongbao Zhou, Siya Lui, Chaoqun Ma, Debin Liu, Wenbin Liu

Expert Syst. Appl., 2012

2011

Security Risk Management Using Incentives.

Debin Liu, Ninghui Li, XiaoFeng Wang, L. Jean Camp

IEEE Secur. Priv., 2011

Beyond Risk-Based Access Control: Towards Incentive-Based Access Control.

Debin Liu, Ninghui Li, XiaoFeng Wang, L. Jean Camp

Proceedings of the Financial Cryptography and Data Security, 2011

2010

Using Budget-Based Access Control to Manage Operational Risks Caused by Insiders.

Debin Liu, L. Jean Camp, XiaoFeng Wang, Lusha Wang

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2010

2009

Mitigating Inadvertent Insider Threats with Incentives.

Debin Liu, XiaoFeng Wang, L. Jean Camp

Proceedings of the Financial Cryptography and Data Security, 2009

2008

Game-theoretic modeling and analysis of insider threats.

Debin Liu, XiaoFeng Wang, L. Jean Camp

Int. J. Crit. Infrastructure Prot., 2008

2007

Mental Models of Computer Security Risks.

Farzaneh Asgharpour, Debin Liu, L. Jean Camp

Proceedings of the 6th Annual Workshop on the Economics of Information Security, 2007

Mental Models of Security Risks.

Farzaneh Asgharpour, Debin Liu, L. Jean Camp

Proceedings of the Financial Cryptography and Data Security, 2007

Phishing IQ Tests Measure Fear, Not Ability.

Vivek Anandpara, Andrew Dingman, Markus Jakobsson, Debin Liu, Heather Roinestad

Proceedings of the Financial Cryptography and Data Security, 2007

2006

Proof of Work can Work.

Debin Liu, L. Jean Camp

Proceedings of the 5th Annual Workshop on the Economics of Information Security, 2006