Tie Luo

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 90

Top Venues

CoRR

ICC

GLOBECOM

IEEE Trans. Mob. Comput.

Publications

Xiaohui Chen, Tie Luo
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. CoRR (2024)
Xiaohui Chen, Tie Luo
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. PKDD (4) (2024)
Yasmine Mustafa, Tie Luo
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. PAKDD (3) (2024)
Mohamed Elmahallawy, Tie Luo, Khaled Ramadan
Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM. IEEE J. Sel. Areas Commun. 42 (5) (2024)
Tao Wu, Tie Luo, Donald C. Wunsch II
CR-SAM: Curvature Regularized Sharpness-Aware Minimization. AAAI (2024)
Tao Wu, Tie Luo, Donald C. Wunsch II
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. AAAI (2024)
Mohamed Elmahallawy, Tie Luo
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. CoRR (2024)
Yasmine Mustafa, Tie Luo
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. CoRR (2024)
Mohamed Elmahallawy, Tie Luo
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. PerCom (2024)
Mohamed Elmahallawy, Tie Luo, Khaled Ramadan
Communication-Efficient Federated Learning for LEO Constellations Integrated with HAPs Using Hybrid NOMA-OFDM. CoRR (2024)
Yasmine Mustafa, Tie Luo
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. CoRR (2023)
Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. CoRR (2023)
Mohamed Elmahallawy, Tie Luo
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. ICC (2023)
Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation. CoRR (2023)
Tao Wu, Tie Luo, Donald C. Wunsch
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty. CoRR (2023)
Ronit Das, Tie Luo
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. EDGE (2023)
Xiaohui Chen, Tie Luo
Catching Elusive Depression via Facial Micro-Expression Recognition. IEEE Commun. Mag. 61 (10) (2023)
Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo
TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. PAKDD (1) (2023)
Yasmine Mustafa, Tie Luo
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. HealthCom (2023)
Raja Sunkara, Tie Luo
YOGA: Deep object detection in the wild with lightweight feature learning and multiscale attention. Pattern Recognit. 139 (2023)
Mohamed Elmahallawy, Tie Luo
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. CoRR (2023)
Xiaohui Chen, Tie Luo
Catching Elusive Depression via Facial Micro-Expression Recognition. CoRR (2023)
Tao Wu, Tie Luo, Donald C. Wunsch
Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability. World Sci. Annu. Rev. Artif. Intell. 1 (2023)
Tao Wu, Tie Luo, Donald C. Wunsch
GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty. ICIP (2023)
Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks. CoRR (2023)
Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. MetroXRAINE (2023)
Tao Wu, Tie Luo, Donald C. Wunsch
CR-SAM: Curvature Regularized Sharpness-Aware Minimization. CoRR (2023)
Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui
Crowdsourcing-based Model Testing in Federated Learning. TrustCom (2023)
Mohamed Elmahallawy, Tie Luo
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. MDM (2023)
Jiadi Du, Tie Luo
Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World. CoRR (2023)
Mohamed Elmahallawy, Tie Luo
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. CoRR (2023)
Ronit Das, Tie Luo
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. CoRR (2023)
Raja Sunkara, Tie Luo
YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention. CoRR (2023)
Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem
Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. GLOBECOM (2023)
Tao Wu, Tie Luo, Donald C. Wunsch
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. CoRR (2023)
Raja Sunkara, Tie Luo
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects. ECML/PKDD (3) (2022)
Mohamed Elmahallawy, Tie Luo
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. Big Data (2022)
Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. CoRR (2022)
Tao Wu, Tie Luo, Donald Wunsch
Learning Deep Representations via Contrastive Learning for Instance Retrieval. CoRR (2022)
Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das
Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. ESORICS (3) (2022)
Mohamed Elmahallawy, Tie Luo
FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs. WCSP (2022)
Tao Wu, Tie Luo, Donald C. Wunsch
Learning Deep Representations via Contrastive Learning for Instance Retrieval. SSCI (2022)
Mohamed Elmahallawy, Tie Luo
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. CoRR (2022)
Mao V. Ngo, Tie Luo, Tony Q. S. Quek
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. ACM Trans. Internet Things 3 (1) (2022)
Raja Sunkara, Tie Luo
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects. CoRR (2022)
Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang
A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. AAMAS (2021)
Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
Data-Free Evaluation of User Contributions in Federated Learning. WiOpt (2021)
Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
Data-Free Evaluation of User Contributions in Federated Learning. CoRR (2021)
Mao V. Ngo, Tie Luo, Tony Q. S. Quek
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach. CoRR (2021)
Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. GLOBECOM (2020)
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. AAAI (2020)
Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. CoRR (2020)
Hongtao Lv, Fan Wu, Tie Luo, Xiaofeng Gao, Guihai Chen
Hardness of and approximate mechanism design for the bike rebalancing problem. Theor. Comput. Sci. 803 (2020)
Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. CoRR (2020)
Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. ICDCS (2020)
Leonid Zeynalvand, Tie Luo, Jie Zhang
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. AAAI (2020)
Fang-Jing Wu, Tie Luo
CrowdPrivacy: Publish More Useful Data with Less Privacy Exposure in Crowdsourced Location-Based Services. ACM Trans. Priv. Secur. 23 (1) (2020)
Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. CoRR (2020)
Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. CoRR (2019)
Shuo Yang, Dan Peng, Tong Meng, Fan Wu, Guihai Chen, Shaojie Tang, Zhenhua Li, Tie Luo
On Designing Distributed Auction Mechanisms for Wireless Spectrum Allocation. IEEE Trans. Mob. Comput. 18 (9) (2019)
Tie Luo, Jianwei Huang, Salil S. Kanhere, Jie Zhang, Sajal K. Das
Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. IEEE Internet Things J. 6 (3) (2019)
Leonid Zeynalvand, Tie Luo, Jie Zhang
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment. CoRR (2019)
Tie Luo, Sai G. Nagarajan
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT. CoRR (2018)
Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets. CoRR (2018)
Hongtao Lv, Fan Wu, Tie Luo, Xiaofeng Gao, Guihai Chen
Achieving Location Truthfulness in Rebalancing Supply-Demand Distribution for Bike Sharing. AAIM (2018)
Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen, Tie Luo
The Privacy Exposure Problem in Mobile Location-based Services. CoRR (2018)
Fang-Jing Wu, Tie Luo
WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-based Incentive. CoRR (2018)
Tie Luo, Sai G. Nagarajan
Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT. ICC (2018)
Tie Luo, Salil S. Kanhere, Sajal K. Das, Hwee-Pink Tan
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. CoRR (2018)
Tie Luo, Leonid Zeynalvand
Reshaping Mobile Crowd Sensing using Cross Validation to Improve Data Credibility. CoRR (2017)
Tie Luo, Salil S. Kanhere, Jianwei Huang, Sajal K. Das, Fan Wu
Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems. IEEE Commun. Mag. 55 (3) (2017)
Yu Wang, Mehul Motani, Hari Krishna Garg, Qian Chen, Tie Luo
Cooperative Multichannel Directional Medium Access Control for Ad Hoc Networks. IEEE Syst. J. 11 (4) (2017)
Tie Luo, Salil S. Kanhere, Hwee-Pink Tan, Fan Wu, Hongyi Wu
Crowdsourcing with Tullock contests: A new perspective. CoRR (2017)
Tie Luo, Leonid Zeynalvand
Reshaping Mobile Crowd Sensing Using Cross Validation to Improve Data Credibility. GLOBECOM (2017)
Yanyan Han, Tie Luo, Deshi Li, Hongyi Wu
Competition-Based Participant Recruitment for Delay-Sensitive Crowdsourcing Applications in D2D Networks. IEEE Trans. Mob. Comput. 15 (12) (2016)
Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen, Tie Luo
The Privacy Exposure Problem in Mobile Location-Based Services. GLOBECOM (2016)
Pankesh Patel, Tie Luo, Umesh Bellur
Evaluating a Development Framework for Engineering Internet of Things Applications. CoRR (2016)
Shuo Yang, Fan Wu, Shaojie Tang, Tie Luo, Xiaofeng Gao, Linghe Kong, Guihai Chen
Selecting most informative contributors with unknown costs for budgeted crowdsensing. IWQoS (2016)
Tie Luo, Salil S. Kanhere, Sajal K. Das, Hwee-Pink Tan
Incentive Mechanism Design for Heterogeneous Crowdsourcing Using All-Pay Contests. IEEE Trans. Mob. Comput. 15 (9) (2016)
Tie Luo, Sajal K. Das, Hwee Pink Tan, Lirong Xia
Incentive Mechanism Design for Crowdsourcing: An All-Pay Auction Approach. ACM Trans. Intell. Syst. Technol. 7 (3) (2016)
Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Marimuthu Palaniswami, Tie Luo
Cloud-Enhanced Robotic System for Smart City Crowd Control. J. Sens. Actuator Networks 5 (4) (2016)
Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen
EndorTrust: An Endorsement-Based Reputation System for Trustworthy and Heterogeneous Crowdsourcing. GLOBECOM (2015)
Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen
An endorsement-based reputation system for trustworthy crowdsourcing. INFOCOM Workshops (2015)
Fang-Jing Wu, Tie Luo
Infrastructureless signal source localization using crowdsourced data for smart-city applications. ICC (2015)
Dan Peng, Shuo Yang, Fan Wu, Guihai Chen, Shaojie Tang, Tie Luo
Resisting three-dimensional manipulations in distributed wireless spectrum auctions. INFOCOM (2015)
Tie Luo, Salil S. Kanhere, Hwee-Pink Tan, Fan Wu, Hongyi Wu
Crowdsourcing with Tullock contests: A new perspective. INFOCOM (2015)
Chen-Khong Tham, Tie Luo
Quality of Contributed Service and Market Equilibrium for Participatory Sensing. IEEE Trans. Mob. Comput. 14 (4) (2015)
Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan
An efficient and truthful pricing mechanism for team formation in crowdsourcing markets. ICC (2015)
Ramgopal Venkat, Thirumoorthy Divagar, Tie Luo, Hwee Pink Tan
Participatory Sensing for Government-Centric Applications: A Singapore Case Study. CoRR (2015)
Fang-Jing Wu, Tie Luo, Jason Cheah Jia Liang
A crowdsourced WiFi sensing system with an endorsement network in smart cities. ISSNIP (2015)
Tie Luo, Mehul Motani, Vikram Srinivasan
Energy-Efficient Strategies for Cooperative Multi-Channel MAC Protocols. CoRR (2014)
Yu Wang, Mehul Motani, Hari Krishna Garg, Qian Chen, Tie Luo
Multi-channel Directional Medium Access Control for ad hoc networks: A cooperative approach. ICC (2014)
Chen-Khong Tham, Tie Luo
Fairness and social welfare in service allocation schemes for participatory sensing. Comput. Networks 73 (2014)
Fang-Jing Wu, Tie Luo
WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-Based Incentive. MASS (2014)
Tie Luo, Salil S. Kanhere, Hwee-Pink Tan
SEW-ing a Simple Endorsement Web to incentivize trustworthy participatory sensing. SECON (2014)
Fang-Jing Wu, Tie Luo
A generic participatory sensing framework for multi-modal datasets. ISSNIP (2014)
Tie Luo, Hwee-Pink Tan, Lirong Xia
Profit-maximizing incentive for participatory sensing. INFOCOM (2014)
Tie Luo, Vikram Srinivasan, Mehul Motani
A Metric for DISH Networks: Analysis, Implications, and Applications. CoRR (2014)
Tie Luo, Salil S. Kanhere, Hwee-Pink Tan
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. MASS (2014)
Tie Luo, Mehul Motani, Vikram Srinivasan
Analyzing DISH for Multi-Channel MAC Protocols in Wireless Networks. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tie Luo