| 2026 | PAKDD | What Helps - and What Hurts: Bidirectional Explanations for Vision Transformers. | Qin Su, Tie Luo |
| 2025 | ECAI | When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks. | Mohamed Elmahallawy, Tie Luo |
| 2025 | PAKDD | Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. | Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo |
| 2025 | PAKDD | Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks. | Tao Wu, Tie Luo |
| 2024 | AAAI | LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. | Tao Wu, Tie Luo, Donald C. Wunsch II |
| 2024 | AAAI | CR-SAM: Curvature Regularized Sharpness-Aware Minimization. | Tao Wu, Tie Luo, Donald C. Wunsch II |
| 2024 | PAKDD | Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. | Xiaohui Chen, Tie Luo |
| 2024 | PAKDD | Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. | Yasmine Mustafa, Tie Luo |
| 2024 | PERCOM | Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. | Mohamed Elmahallawy, Tie Luo |
| 2023 | GLOBECOM | Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. | Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem |
| 2023 | HealthCom | Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. | Yasmine Mustafa, Tie Luo |
| 2023 | ICIP | GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty. | Tao Wu, Tie Luo, Donald C. Wunsch |
| 2023 | MDM | One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. | Mohamed Elmahallawy, Tie Luo |
| 2023 | PAKDD | TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. | Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo |
| 2023 | TrustCom | Crowdsourcing-based Model Testing in Federated Learning. | Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui |
| 2022 | ESORICS | Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. | Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das |
| 2021 | WiOpt | Data-Free Evaluation of User Contributions in Federated Learning. | Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv |
| 2020 | AAAI | Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. | Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen |
| 2020 | AAAI | COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. | Leonid Zeynalvand, Tie Luo, Jie Zhang |
| 2020 | GLOBECOM | Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. | Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek |
| 2020 | ICDCS | Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. | Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek |
| 2018 | AAIM | Achieving Location Truthfulness in Rebalancing Supply-Demand Distribution for Bike Sharing. | Hongtao Lv, Fan Wu, Tie Luo, Xiaofeng Gao, Guihai Chen |
| 2017 | GLOBECOM | Reshaping Mobile Crowd Sensing Using Cross Validation to Improve Data Credibility. | Tie Luo, Leonid Zeynalvand |
| 2016 | GLOBECOM | The Privacy Exposure Problem in Mobile Location-Based Services. | Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen, Tie Luo |
| 2016 | IWQoS | Selecting most informative contributors with unknown costs for budgeted crowdsensing. | Shuo Yang, Fan Wu, Shaojie Tang, Tie Luo, Xiaofeng Gao, Linghe Kong, Guihai Chen |
| 2015 | GLOBECOM | EndorTrust: An Endorsement-Based Reputation System for Trustworthy and Heterogeneous Crowdsourcing. | Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen |
| 2015 | INFOCOM | Crowdsourcing with Tullock contests: A new perspective. | Tie Luo, Salil S. Kanhere, Hwee-Pink Tan, Fan Wu, Hongyi Wu |
| 2015 | INFOCOM | Resisting three-dimensional manipulations in distributed wireless spectrum auctions. | Dan Peng, Shuo Yang, Fan Wu, Guihai Chen, Shaojie Tang, Tie Luo |
| 2015 | INFOCOM | An endorsement-based reputation system for trustworthy crowdsourcing. | Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen |
| 2014 | INFOCOM | Profit-maximizing incentive for participatory sensing. | Tie Luo, Hwee-Pink Tan, Lirong Xia |
| 2014 | MASS | Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. | Tie Luo, Salil S. Kanhere, Hwee-Pink Tan |
| 2014 | MASS | WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-Based Incentive. | Fang-Jing Wu, Tie Luo |
| 2014 | SECON | SEW-ing a Simple Endorsement Web to incentivize trustworthy participatory sensing. | Tie Luo, Salil S. Kanhere, Hwee-Pink Tan |
| 2013 | CCS | Comparative study of multicast authentication schemes with application to wide-area measurement system. | Yee Wei Law, Zheng Gong, Tie Luo, Slaven Marusic, Marimuthu Palaniswami |
| 2013 | DCOSS | Quality of Contributed Service and Market Equilibrium for Participatory Sensing. | Chen-Khong Tham, Tie Luo |
| 2012 | SECON | Fairness and social welfare in incentivizing participatory sensing. | Tie Luo, Chen-Khong Tham |
| 2011 | UCC | Participatory Cyber Physical System in Public Transport Application. | John Kah Soon Lau, Chen-Khong Tham, Tie Luo |
| 2009 | SECON | Cognitive DISH: Virtual Spectrum Sensing Meets Cooperation. | Tie Luo, Mehul Motani |
| 2008 | MOBIHOC | Analyzing DISH for multi-channel MAC protocols in wireless networks. | Tie Luo, Mehul Motani, Vikram Srinivasan |
| 2007 | MOBICOM | Altruistic cooperation for energy-efficient multi-channel MAC protocols. | Tie Luo, Mehul Motani, Vikram Srinivasan |
| 2006 | Broadnets | CAM-MAC: A Cooperative Asynchronous Multi-Channel MAC Protocol for Ad Hoc Networks. | Tie Luo, Mehul Motani, Vikram Srinivasan |
| 2003 | GLOBECOM | Analyses and improvements of link management protocol for GMPLS-based networks. | Tie Luo, Geng-Sheng Kuo |