Proof of Work can Work. - Debin Liu; L. Jean Camp (WEIS, 2006)

Phishing IQ Tests Measure Fear, Not Ability. - Vivek Anandpara; Andrew Dingman; Markus Jakobsson; Debin Liu; Heather Roinestad (Financial Cryptography, 2007)

Mental Models of Security Risks. - Farzaneh Asgharpour; Debin Liu; L. Jean Camp (Financial Cryptography, 2007)

Mental Models of Computer Security Risks. - Farzaneh Asgharpour; Debin Liu; L. Jean Camp (WEIS, 2007)

Game-theoretic modeling and analysis of insider threats. - Debin Liu; XiaoFeng Wang 001; L. Jean Camp (Int. J. Crit. Infrastructure Prot., 2008)

Mitigating Inadvertent Insider Threats with Incentives. - Debin Liu; XiaoFeng Wang 001; L. Jean Camp (Financial Cryptography, 2009)

Using Budget-Based Access Control to Manage Operational Risks Caused by Insiders. - Debin Liu; L. Jean Camp; XiaoFeng Wang 001; Lusha Wang (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2010)

Beyond Risk-Based Access Control: Towards Incentive-Based Access Control. - Debin Liu; Ninghui Li; XiaoFeng Wang 001; L. Jean Camp (Financial Cryptography, 2011)

Security Risk Management Using Incentives. - Debin Liu; Ninghui Li; XiaoFeng Wang 001; L. Jean Camp (IEEE Secur. Priv., 2011)

Fuzzy data envelopment analysis models with assurance regions: A note. - Zhongbao Zhou; Siya Lui; Chaoqun Ma; Debin Liu; Wenbin Liu (Expert Syst. Appl., 2012)

Game Cross Efficiency for Systems with Two-Stage Structures. - Chaoqun Ma; Debin Liu; Zhongbao Zhou; Wei Zhao; Wenbin Liu (J. Appl. Math., 2014)

Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA. - Ye Wang 006; Yuanjiang Huang; Wu Zheng; Zhi Zhou 006; Debin Liu; Mi Lu (ICIT, 2017)

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)

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)

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 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Plug-and-Play Multi-class Lane Detection Module. - Qiankun Li; Huabao Chen; Debin Liu; Zengyu Qiu; Zengfu Wang (AMC-SME, 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)

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)

TD3D: Tensor-based Discrete Diffusion Process for 3D Shape Generation. - Jinglin Zhao; Debin Liu; Laurence T. Yang; Ruonan Zhao; Zheng Wang; Zhe Li 038 (ICME, 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 (PRCV (11), 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)

An Efficient Tensor-Based Transformer for Industrial Internet of Things. - Debin Liu; Laurence T. Yang; Ruonan Zhao; Jinhua Cui 001; Xiangli Yang (IEEE Trans. Netw. Sci. Eng., 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., 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., 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., 2024)

Dual-Grained Lightweight Strategy. - Debin Liu; Xiang Bai; Ruonan Zhao; Xianjun Deng; Laurence T. Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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 001; Jieming Yang (Inf. Fusion, 2025)

Panther: Practical Secure Two-Party Neural Network Inference. - Jun Feng 007; Yefan Wu; Hong Sun; Shunli Zhang; Debin Liu (IEEE Trans. Inf. Forensics Secur., 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)

Bayesian Nonnegative Tensor Completion With Automatic Rank Determination. - Zecan Yang; Laurence T. Yang; Huaimin Wang; Honglu Zhao; Debin Liu (IEEE Trans. Image Process., 2025)

Tensor-Empowered Hardware-Friendly Lightweight Deep Neural Networks for Vehicular Edge Computing. - Debin Liu; Laurence T. Yang; Ruonan Zhao; Xiaokang Wang 001; Zhe Li 038; Honglu Zhao; Jinhua Cui 001 (IEEE Trans. Consumer Electron., 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., 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, 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, 2025)