Analyses and improvements of link management protocol for GMPLS-based networks. - Tie Luo 001; Geng-Sheng Kuo (GLOBECOM, 2003)

CAM-MAC: A Cooperative Asynchronous Multi-Channel MAC Protocol for Ad Hoc Networks. - Tie Luo 001; Mehul Motani; Vikram Srinivasan (BROADNETS, 2006)

Altruistic cooperation for energy-efficient multi-channel MAC protocols. - Tie Luo 001; Mehul Motani; Vikram Srinivasan (MobiCom, 2007)

Analyzing DISH for multi-channel MAC protocols in wireless networks. - Tie Luo 001; Mehul Motani; Vikram Srinivasan (MobiHoc, 2008)

Cognitive DISH: Virtual Spectrum Sensing Meets Cooperation. - Tie Luo 001; Mehul Motani (SECON, 2009)

Cooperative Asynchronous Multichannel MAC: Design, Analysis, and Implementation. - Tie Luo 001; Mehul Motani; V. Srinivasan (IEEE Trans. Mob. Comput., 2009)

A Metric for DISH Networks: Analysis, Implications, and Applications. - Tie Luo 001; Vikram Srinivasan; Mehul Motani (IEEE Trans. Mob. Comput., 2010)

Participatory Cyber Physical System in Public Transport Application. - John Kah Soon Lau; Chen-Khong Tham; Tie Luo 001 (UCC, 2011)

Enhancing responsiveness and scalability for OpenFlow networks via control-message quenching. - Tie Luo 001; Hwee-Pink Tan; Philip C. Quan; Yee Wei Law; Jiong Jin (ICTC, 2012)

Network architecture and QoS issues in the internet of things for a smart city. - Jiong Jin; Jayavardhana Gubbi; Tie Luo 001; Marimuthu Palaniswami (ISCIT, 2012)

Fairness and social welfare in incentivizing participatory sensing. - Tie Luo 001; Chen-Khong Tham (SECON, 2012)

Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks. - Tie Luo 001; Hwee-Pink Tan; Tony Q. S. Quek (IEEE Commun. Lett., 2012)

Energy-Efficient Strategies for Cooperative Multichannel MAC Protocols. - Tie Luo 001; Mehul Motani; Vikram Srinivasan (IEEE Trans. Mob. Comput., 2012)

Comparative study of multicast authentication schemes with application to wide-area measurement system. - Yee Wei Law; Zheng Gong; Tie Luo 001; Slaven Marusic; Marimuthu Palaniswami (AsiaCCS, 2013)

Sensing-Driven Energy Purchasing in Smart Grid Cyber-Physical System. - Chen-Khong Tham; Tie Luo 001 (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Multi-channel Directional Medium Access Control for ad hoc networks: A cooperative approach. - Yu Wang 024; Mehul Motani; Hari Krishna Garg; Qian Chen 005; Tie Luo 001 (ICC, 2014)

Profit-maximizing incentive for participatory sensing. - Tie Luo 001; Hwee-Pink Tan; Lirong Xia (INFOCOM, 2014)

A generic participatory sensing framework for multi-modal datasets. - Fang-Jing Wu; Tie Luo 001 (ISSNIP, 2014)

Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. - Tie Luo 001; Salil S. Kanhere; Hwee-Pink Tan (MASS, 2014)

WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-Based Incentive. - Fang-Jing Wu; Tie Luo 001 (MASS, 2014)

SEW-ing a Simple Endorsement Web to incentivize trustworthy participatory sensing. - Tie Luo 001; Salil S. Kanhere; Hwee-Pink Tan (SECON, 2014)

Fairness and social welfare in service allocation schemes for participatory sensing. - Chen-Khong Tham; Tie Luo 001 (Comput. Networks, 2014)

Energy-Efficient Strategies for Cooperative Multi-Channel MAC Protocols. - Tie Luo 001; Mehul Motani; Vikram Srinivasan (CoRR, 2014)

EndorTrust: An Endorsement-Based Reputation System for Trustworthy and Heterogeneous Crowdsourcing. - Chunchun Wu; Tie Luo 001; Fan Wu 006; Guihai Chen (GLOBECOM, 2015)

An efficient and truthful pricing mechanism for team formation in crowdsourcing markets. - Qing Liu 020; Tie Luo 001; Ruiming Tang; Stéphane Bressan (ICC, 2015)

Infrastructureless signal source localization using crowdsourced data for smart-city applications. - Fang-Jing Wu; Tie Luo 001 (ICC, 2015)

Crowdsourcing with Tullock contests: A new perspective. - Tie Luo 001; Salil S. Kanhere; Hwee-Pink Tan; Fan Wu 006; Hongyi Wu (INFOCOM, 2015)

Resisting three-dimensional manipulations in distributed wireless spectrum auctions. - Dan Peng; Shuo Yang 001; Fan Wu 006; Guihai Chen; Shaojie Tang 001; Tie Luo 001 (INFOCOM, 2015)

An endorsement-based reputation system for trustworthy crowdsourcing. - Chunchun Wu; Tie Luo 001; Fan Wu 006; Guihai Chen (INFOCOM Workshops, 2015)

A crowdsourced WiFi sensing system with an endorsement network in smart cities. - Fang-Jing Wu; Tie Luo 001; Jason Cheah Jia Liang (ISSNIP, 2015)

Achieving Energy Efficiency for Altruistic DISH: Three Properties. - Tony T. Luo (CoRR, 2015)

Participatory Sensing for Government-Centric Applications: A Singapore Case Study. - Ramgopal Venkat; Thirumoorthy Divagar; Tie Luo 001; Hwee Pink Tan (CoRR, 2015)

Quality of Contributed Service and Market Equilibrium for Participatory Sensing. - Chen-Khong Tham; Tie Luo 001 (IEEE Trans. Mob. Comput., 2015)

The Privacy Exposure Problem in Mobile Location-Based Services. - Fang-Jing Wu; Matthias R. Brust; Yan-Ann Chen; Tie Luo 001 (GLOBECOM, 2016)

Selecting most informative contributors with unknown costs for budgeted crowdsensing. - Shuo Yang 001; Fan Wu 006; Shaojie Tang 001; Tie Luo 001; Xiaofeng Gao 001; Linghe Kong; Guihai Chen (IWQoS, 2016)

Evaluating a Development Framework for Engineering Internet of Things Applications. - Pankesh Patel; Tie Luo 001; Umesh Bellur (CoRR, 2016)

Cloud-Enhanced Robotic System for Smart City Crowd Control. - Akhlaqur Rahman; Jiong Jin; Antonio L. Cricenti; Ashfaqur Rahman; Marimuthu Palaniswami; Tie Luo 001 (J. Sens. Actuator Networks, 2016)

Big Data Management and Analytics for Mobile Crowd Sensing. - Tingting Chen 001; Fan Wu 006; Tony T. Luo; Mea Wang; Qirong Ho (Mob. Inf. Syst., 2016)

Incentive Mechanism Design for Crowdsourcing: An All-Pay Auction Approach. - Tie Luo 001; Sajal K. Das 001; Hwee Pink Tan; Lirong Xia (ACM Trans. Intell. Syst. Technol., 2016)

Competition-Based Participant Recruitment for Delay-Sensitive Crowdsourcing Applications in D2D Networks. - Yanyan Han; Tie Luo 001; Deshi Li; Hongyi Wu (IEEE Trans. Mob. Comput., 2016)

Incentive Mechanism Design for Heterogeneous Crowdsourcing Using All-Pay Contests. - Tie Luo 001; Salil S. Kanhere; Sajal K. Das 001; Hwee-Pink Tan (IEEE Trans. Mob. Comput., 2016)

Reshaping Mobile Crowd Sensing Using Cross Validation to Improve Data Credibility. - Tie Luo 001; Leonid Zeynalvand (GLOBECOM, 2017)

Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems. - Tie Luo 001; Salil S. Kanhere; Jianwei Huang 001; Sajal K. Das 001; Fan Wu 006 (IEEE Commun. Mag., 2017)

Sustainable Incentives for Mobile Crowdsensing. - Tony T. Luo; Salil S. Kanhere; Jianwei Huang 001; Sajal K. Das 001; Fan Wu 006 (CoRR, 2017)

Cooperative Multichannel Directional Medium Access Control for Ad Hoc Networks. - Yu Wang 024; Mehul Motani; Hari Krishna Garg; Qian Chen 005; Tie Luo 001 (IEEE Syst. J., 2017)

Achieving Location Truthfulness in Rebalancing Supply-Demand Distribution for Bike Sharing. - Hongtao Lv; Fan Wu 006; Tie Luo 001; Xiaofeng Gao 001; Guihai Chen (AAIM, 2018)

MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things. - Leonid Zeynalvand; Jie Zhang 002; Shuo Chen 006; Tony T. Luo (FUSION, 2018)

Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT. - Tie Luo 001; Sai G. Nagarajan (ICC, 2018)

Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. - Tie Luo 001; Salil S. Kanhere; Sajal K. Das 001; Hwee-Pink Tan (CoRR, 2018)

Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. - Tie Luo 001; Jianwei Huang 001; Salil S. Kanhere; Jie Zhang 002; Sajal K. Das 001 (IEEE Internet Things J., 2019)

On Designing Distributed Auction Mechanisms for Wireless Spectrum Allocation. - Shuo Yang 001; Dan Peng; Tong Meng; Fan Wu 006; Guihai Chen; Shaojie Tang 001; Zhenhua Li 001; Tie Luo 001 (IEEE Trans. Mob. Comput., 2019)

Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. - Hongtao Lv; Chaoli Zhang 003; Zhenzhe Zheng; Tie Luo 001; Fan Wu 006; Guihai Chen (AAAI, 2020)

COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. - Leonid Zeynalvand; Tie Luo 001; Jie Zhang 002 (AAAI, 2020)

Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. - Mao V. Ngo; Tie Luo 001; Hieu T. Hoang; Tony Q. S. Quek (GLOBECOM, 2020)

Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. - Mao V. Ngo; Tie Luo 001; Hakima Chaouchi; Tony Q. S. Quek (ICDCS, 2020)

Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. - Mao V. Ngo; Hakima Chaouchi; Tie Luo 001; Tony Q. S. Quek (CoRR, 2020)

Hardness of and approximate mechanism design for the bike rebalancing problem. - Hongtao Lv; Fan Wu 006; Tie Luo 001; Xiaofeng Gao 001; Guihai Chen (Theor. Comput. Sci., 2020)

CrowdPrivacy: Publish More Useful Data with Less Privacy Exposure in Crowdsourced Location-Based Services. - Fang-Jing Wu; Tie Luo 001 (ACM Trans. Priv. Secur., 2020)

A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. - Leonid Zeynalvand; Tie Luo 001; Ewa Andrejczuk; Dusit Niyato; Sin G. Teo; Jie Zhang 002 (AAMAS, 2021)

Data-Free Evaluation of User Contributions in Federated Learning. - Hongtao Lv; Zhenzhe Zheng; Tie Luo 001; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Rongfei Jia; Chengfei Lv (WiOpt, 2021)

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. - Mohamed Elmahallawy; Tie Luo 001 (IEEE Big Data, 2022)

Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. - Ashish Gupta 012; Tie Luo 001; Mao V. Ngo; Sajal K. Das 001 (ESORICS (3), 2022)

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects. - Raja Sunkara; Tie Luo 001 (ECML/PKDD (3), 2022)

Learning Deep Representations via Contrastive Learning for Instance Retrieval. - Tao Wu 021; Tie Luo 001; Donald C. Wunsch (SSCI, 2022)

FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs. - Mohamed Elmahallawy; Tie Luo 001 (WCSP, 2022)

Federated learning for LEO constellations via inter-HAP links. - Mohamed Elmahallawy; Tony T. Luo (CoRR, 2022)

Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. - Mao V. Ngo; Tie Luo 001; Tony Q. S. Quek (ACM Trans. Internet Things, 2022)

LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. - Ronit Das; Tie Luo 001 (EDGE, 2023)

Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. - Mohamed Elmahallawy; Tie Luo 001; Mohamed I. Ibrahem (GLOBECOM, 2023)

Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. - Yasmine Mustafa; Tie Luo 001 (HealthCom, 2023)

Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. - Mohamed Elmahallawy; Tie Luo 001 (ICC, 2023)

GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty. - Tao Wu 021; Tie Luo 001; Donald C. Wunsch (ICIP, 2023)

One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. - Mohamed Elmahallawy; Tie Luo 001 (MDM, 2023)

A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. - Yasmine Mustafa; Mohamed Elmahallawy; Tie Luo 001; Seif Eldawlatly (MetroXRAINE, 2023)

TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. - Shyam Sundar Saravanan; Tie Luo 001; Mao Van Ngo (PAKDD (1), 2023)

Crowdsourcing-based Model Testing in Federated Learning. - Yunpeng Yi; Hongtao Lv; Tie Luo 001; Junfeng Yang; Lei Liu 003; Lizhen Cui (TrustCom, 2023)

Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World. - Jiadi Du; Tie Luo 001 (CoRR, 2023)

Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability. - Tao Wu 021; Tie Luo 001; Donald C. Wunsch (World Sci. Annu. Rev. Artif. Intell., 2023)

YOGA: Deep object detection in the wild with lightweight feature learning and multiscale attention. - Raja Sunkara; Tie Luo 001 (Pattern Recognit., 2023)

Catching Elusive Depression via Facial Micro-Expression Recognition. - Xiaohui Chen; Tie Luo 001 (IEEE Commun. Mag., 2023)

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. - Tao Wu 021; Tie Luo 001; Donald C. Wunsch II (AAAI, 2024)

CR-SAM: Curvature Regularized Sharpness-Aware Minimization. - Tao Wu 021; Tie Luo 001; Donald C. Wunsch II (AAAI, 2024)

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations. - Yasmine Mustafa; Mohamed Elmahallawy; Tie Luo 001 (IEEE Big Data, 2024)

Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. - Xiaohui Chen; Tie Luo 001 (PKDD (4), 2024)

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. - Yasmine Mustafa; Tie Luo 001 (PAKDD (3), 2024)

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. - Mohamed Elmahallawy; Tie Luo 001 (PerCom, 2024)

Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM. - Mohamed Elmahallawy; Tie Luo 001; Khaled Ramadan (IEEE J. Sel. Areas Commun., 2024)

Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. - Yasmine Mustafa; Mohamed Elmahallawy; Tie Luo 001 (PAKDD (Workshops), 2025)

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks. - Tao Wu 021; Tie Luo 001 (PAKDD (4), 2025)