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ORCIDTie Luo
Tony T. Luo
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- affiliation: Computer Science Department, Missouri University of Science and Technology, Rolla, MO, USA
- affiliation (former): Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore
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Journal Articles
- 2024
[j24]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): 1097-1114 (2024)- 2023
- [j23]Xiaohui Chen, Tie Luo:
Catching Elusive Depression via Facial Micro-Expression Recognition. IEEE Commun. Mag. 61(10): 30-36 (2023) - [j22]Raja Sunkara, Tie Luo:
YOGA: Deep object detection in the wild with lightweight feature learning and multiscale attention. Pattern Recognit. 139: 109451 (2023) - [j21]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: 2250005:1-2250005:17 (2023) - 2022
- [j20]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): 4:1-4:23 (2022) - 2020
- [j19]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: 105-115 (2020) - [j18]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): 6:1-6:25 (2020) - 2019
- [j17]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): 5651-5664 (2019) - [j16]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): 2129-2146 (2019) - 2017
- [j15]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): 68-74 (2017) - [j14]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): 2675-2686 (2017) - 2016
- [j13]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): 20 (2016) - [j12]Tingting Chen, Fan Wu, Tony T. Luo, Mea Wang, Qirong Ho:
Big Data Management and Analytics for Mobile Crowd Sensing. Mob. Inf. Syst. 2016: 8731802:1-8731802:2 (2016) - [j11]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): 35:1-35:26 (2016) - [j10]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): 2234-2246 (2016) - [j9]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): 2987-2999 (2016) - 2015
- [j8]Chen-Khong Tham, Tie Luo:
Quality of Contributed Service and Market Equilibrium for Participatory Sensing. IEEE Trans. Mob. Comput. 14(4): 829-842 (2015) - 2014
- [j7]Chen-Khong Tham, Tie Luo:
Fairness and social welfare in service allocation schemes for participatory sensing. Comput. Networks 73: 58-71 (2014) - 2013
- [j6]Chen-Khong Tham, Tie Luo:
Sensing-Driven Energy Purchasing in Smart Grid Cyber-Physical System. IEEE Trans. Syst. Man Cybern. Syst. 43(4): 773-784 (2013) - 2012
- [j5]Tie Luo, Hwee-Pink Tan, Tony Q. S. Quek:
Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks. IEEE Commun. Lett. 16(11): 1896-1899 (2012) - [j4]Tie Luo, Mehul Motani, Vikram Srinivasan:
Energy-Efficient Strategies for Cooperative Multichannel MAC Protocols. IEEE Trans. Mob. Comput. 11(4): 553-566 (2012) - 2010
- [j3]Tie Luo, Vikram Srinivasan, Mehul Motani:
A Metric for DISH Networks: Analysis, Implications, and Applications. IEEE Trans. Mob. Comput. 9(3): 376-389 (2010) - 2009
- [j2]Tie Luo, Mehul Motani, V. Srinivasan:
Cooperative Asynchronous Multichannel MAC: Design, Analysis, and Implementation. IEEE Trans. Mob. Comput. 8(3): 338-352 (2009) - 1996
- [j1]George J. Fix, Chih-Ping Hsu, Tie Luo:
Implicitization of Rational Parametric Surfaces. J. Symb. Comput. 21(3): 329-336 (1996)
Conference and Workshop Papers
- 2024
- [c55]Tao Wu, Tie Luo, Donald C. Wunsch II:
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. AAAI 2024: 6135-6143 - [c54]Tao Wu, Tie Luo, Donald C. Wunsch II:
CR-SAM: Curvature Regularized Sharpness-Aware Minimization. AAAI 2024: 6144-6152 - [c53]Yasmine Mustafa, Tie Luo:
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. PAKDD (3) 2024: 75-90 - [c52]Xiaohui Chen, Tie Luo:
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. PKDD (4) 2024: 335-349 - [c51]Mohamed Elmahallawy, Tie Luo:
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. PerCom 2024: 80-89 - 2023
- [c50]Ronit Das, Tie Luo:
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. EDGE 2023: 150-158 - [c49]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: 5727-5732 - [c48]Yasmine Mustafa, Tie Luo:
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. HealthCom 2023: 49-55 - [c47]Mohamed Elmahallawy, Tie Luo:
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. ICC 2023: 3444-3449 - [c46]Tao Wu, Tie Luo, Donald C. Wunsch:
GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty. ICIP 2023: 3110-3114 - [c45]Mohamed Elmahallawy, Tie Luo:
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. MDM 2023: 45-54 - [c44]Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly:
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. MetroXRAINE 2023: 799-804 - [c43]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: 39-54 - [c42]Yunpeng Yi, Hongtao Lv, Tie Luo, Junfeng Yang, Lei Liu, Lizhen Cui:
Crowdsourcing-based Model Testing in Federated Learning. TrustCom 2023: 207-213 - 2022
- [c41]Mohamed Elmahallawy, Tie Luo:
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. IEEE Big Data 2022: 5478-5487 - [c40]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: 445-465 - [c39]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: 443-459 - [c38]Tao Wu, Tie Luo, Donald C. Wunsch:
Learning Deep Representations via Contrastive Learning for Instance Retrieval. SSCI 2022: 1501-1506 - [c37]Mohamed Elmahallawy, Tie Luo:
FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs. WCSP 2022: 888-893 - 2021
- [c36]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: 1707-1708 - [c35]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: 81-88 - 2020
- [c34]Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. AAAI 2020: 2144-2151 - [c33]Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. AAAI 2020: 7317-7324 - [c32]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: 1-6 - [c31]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: 1227-1230 - 2018
- [c30]Hongtao Lv, Fan Wu, Tie Luo, Xiaofeng Gao, Guihai Chen:
Achieving Location Truthfulness in Rebalancing Supply-Demand Distribution for Bike Sharing. AAIM 2018: 256-267 - [c29]Leonid Zeynalvand, Jie Zhang, Shuo Chen, Tony T. Luo:
MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things. FUSION 2018: 2013-2020 - [c28]Tie Luo, Sai G. Nagarajan:
Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT. ICC 2018: 1-6 - 2017
- [c27]Tie Luo, Leonid Zeynalvand:
Reshaping Mobile Crowd Sensing Using Cross Validation to Improve Data Credibility. GLOBECOM 2017: 1-7 - 2016
- [c26]Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen, Tie Luo:
The Privacy Exposure Problem in Mobile Location-Based Services. GLOBECOM 2016: 1-7 - [c25]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: 1-6 - 2015
- [c24]Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen:
EndorTrust: An Endorsement-Based Reputation System for Trustworthy and Heterogeneous Crowdsourcing. GLOBECOM 2015: 1-6 - [c23]Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan:
An efficient and truthful pricing mechanism for team formation in crowdsourcing markets. ICC 2015: 567-572 - [c22]Fang-Jing Wu, Tie Luo:
Infrastructureless signal source localization using crowdsourced data for smart-city applications. ICC 2015: 586-591 - [c21]Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen:
An endorsement-based reputation system for trustworthy crowdsourcing. INFOCOM Workshops 2015: 89-90 - [c20]Dan Peng, Shuo Yang, Fan Wu, Guihai Chen, Shaojie Tang, Tie Luo:
Resisting three-dimensional manipulations in distributed wireless spectrum auctions. INFOCOM 2015: 2056-2064 - [c19]Tie Luo, Salil S. Kanhere, Hwee-Pink Tan, Fan Wu, Hongyi Wu:
Crowdsourcing with Tullock contests: A new perspective. INFOCOM 2015: 2515-2523 - [c18]Fang-Jing Wu, Tie Luo, Jason Cheah Jia Liang:
A crowdsourced WiFi sensing system with an endorsement network in smart cities. ISSNIP 2015: 1-2 - 2014
- [c17]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: 53-58 - [c16]Tie Luo, Hwee-Pink Tan, Lirong Xia:
Profit-maximizing incentive for participatory sensing. INFOCOM 2014: 127-135 - [c15]Fang-Jing Wu, Tie Luo:
A generic participatory sensing framework for multi-modal datasets. ISSNIP 2014: 1-6 - [c14]Tie Luo, Salil S. Kanhere, Hwee-Pink Tan:
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. MASS 2014: 136-144 - [c13]Fang-Jing Wu, Tie Luo:
WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-Based Incentive. MASS 2014: 533-534 - [c12]Tie Luo, Salil S. Kanhere, Hwee-Pink Tan:
SEW-ing a Simple Endorsement Web to incentivize trustworthy participatory sensing. SECON 2014: 636-644 - 2013
- [c11]Yee Wei Law, Zheng Gong, Tie Luo, Slaven Marusic, Marimuthu Palaniswami:
Comparative study of multicast authentication schemes with application to wide-area measurement system. AsiaCCS 2013: 287-298 - [c10]Chen-Khong Tham, Tie Luo:
Quality of Contributed Service and Market Equilibrium for Participatory Sensing. DCOSS 2013: 133-140 - 2012
- [c9]Tie Luo, Hwee-Pink Tan, Philip C. Quan, Yee Wei Law, Jiong Jin:
Enhancing responsiveness and scalability for OpenFlow networks via control-message quenching. ICTC 2012: 348-353 - [c8]Jiong Jin, Jayavardhana Gubbi, Tie Luo, Marimuthu Palaniswami:
Network architecture and QoS issues in the internet of things for a smart city. ISCIT 2012: 956-961 - [c7]Tie Luo, Chen-Khong Tham:
Fairness and social welfare in incentivizing participatory sensing. SECON 2012: 425-433 - 2011
- [c6]John Kah Soon Lau, Chen-Khong Tham, Tie Luo:
Participatory Cyber Physical System in Public Transport Application. UCC 2011: 355-360 - 2009
- [c5]Tie Luo, Mehul Motani:
Cognitive DISH: Virtual Spectrum Sensing Meets Cooperation. SECON 2009: 1-9 - 2008
- [c4]Tie Luo, Mehul Motani, Vikram Srinivasan:
Analyzing DISH for multi-channel MAC protocols in wireless networks. MobiHoc 2008: 43-52 - 2007
- [c3]Tie Luo, Mehul Motani, Vikram Srinivasan:
Altruistic cooperation for energy-efficient multi-channel MAC protocols. MobiCom 2007: 322-325 - 2006
- [c2]Tie Luo, Mehul Motani, Vikram Srinivasan:
CAM-MAC: A Cooperative Asynchronous Multi-Channel MAC Protocol for Ad Hoc Networks. BROADNETS 2006 - 2003
- [c1]Tie Luo, Geng-Sheng Kuo:
Analyses and improvements of link management protocol for GMPLS-based networks. GLOBECOM 2003: 2992-2998
Informal and Other Publications
- 2024
- [i44]Mohamed Elmahallawy, Tie Luo, Khaled Ramadan:
Communication-Efficient Federated Learning for LEO Constellations Integrated with HAPs Using Hybrid NOMA-OFDM. CoRR abs/2401.00685 (2024) - [i43]Mohamed Elmahallawy, Tie Luo:
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. CoRR abs/2401.15541 (2024) - [i42]Xiaohui Chen, Tie Luo:
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. CoRR abs/2402.16005 (2024) - [i41]Yasmine Mustafa, Tie Luo:
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision. CoRR abs/2402.16008 (2024) - 2023
- [i40]Mohamed Elmahallawy, Tie Luo:
Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. CoRR abs/2302.13447 (2023) - [i39]Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo:
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks. CoRR abs/2303.12952 (2023) - [i38]Jiadi Du, Tie Luo:
Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World. CoRR abs/2304.10018 (2023) - [i37]Ronit Das, Tie Luo:
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing. CoRR abs/2305.12266 (2023) - [i36]Mohamed Elmahallawy, Tie Luo:
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. CoRR abs/2305.12316 (2023) - [i35]Tao Wu, Tie Luo, Donald C. Wunsch:
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty. CoRR abs/2307.04099 (2023) - [i34]Raja Sunkara, Tie Luo:
YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention. CoRR abs/2307.05945 (2023) - [i33]Xiaohui Chen, Tie Luo:
Catching Elusive Depression via Facial Micro-Expression Recognition. CoRR abs/2307.15862 (2023) - [i32]Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly:
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. CoRR abs/2308.06401 (2023) - [i31]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 abs/2309.01828 (2023) - [i30]Yasmine Mustafa, Tie Luo:
Diagnosing Alzheimer's Disease using Early-Late Multimodal Data Fusion with Jacobian Maps. CoRR abs/2310.16936 (2023) - [i29]Tao Wu, Tie Luo, Donald C. Wunsch:
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. CoRR abs/2312.13118 (2023) - [i28]Tao Wu, Tie Luo, Donald C. Wunsch:
CR-SAM: Curvature Regularized Sharpness-Aware Minimization. CoRR abs/2312.13555 (2023) - 2022
- [i27]Mohamed Elmahallawy, Tony T. Luo:
Federated learning for LEO constellations via inter-HAP links. CoRR abs/2205.07216 (2022) - [i26]Raja Sunkara, Tie Luo:
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects. CoRR abs/2208.03641 (2022) - [i25]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 abs/2208.10273 (2022) - [i24]Tao Wu, Tie Luo, Donald Wunsch:
Learning Deep Representations via Contrastive Learning for Instance Retrieval. CoRR abs/2209.13832 (2022) - [i23]Mohamed Elmahallawy, Tie Luo:
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. CoRR abs/2212.11522 (2022) - 2021
- [i22]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 abs/2108.03872 (2021) - [i21]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 abs/2108.10623 (2021) - 2020
- [i20]Mao V. Ngo, Hakima Chaouchi, Tie Luo, Tony Q. S. Quek:
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing. CoRR abs/2001.03314 (2020) - [i19]Mao V. Ngo, Tie Luo, Hakima Chaouchi, Tony Q. S. Quek:
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing. CoRR abs/2004.06896 (2020) - [i18]Mao V. Ngo, Tie Luo, Hieu T. Hoang, Tony Q. S. Quek:
Coordinated Container Migration and Base Station Handover in Mobile Edge Computing. CoRR abs/2009.05682 (2020) - 2019
- [i17]Hongtao Lv, Chaoli Zhang, Zhenzhe Zheng, Tie Luo, Fan Wu, Guihai Chen:
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems. CoRR abs/1911.07706 (2019) - [i16]Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment. CoRR abs/1912.08446 (2019) - 2018
- [i15]Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen, Tie Luo:
The Privacy Exposure Problem in Mobile Location-based Services. CoRR abs/1808.01010 (2018) - [i14]Fang-Jing Wu, Tie Luo:
WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-based Incentive. CoRR abs/1808.03988 (2018) - [i13]Tie Luo, Salil S. Kanhere, Sajal K. Das, Hwee-Pink Tan:
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. CoRR abs/1812.04848 (2018) - [i12]Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan:
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets. CoRR abs/1812.04865 (2018) - [i11]Tie Luo, Sai G. Nagarajan:
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT. CoRR abs/1812.04872 (2018) - 2017
- [i10]Tony T. Luo, Salil S. Kanhere, Jianwei Huang, Sajal K. Das, Fan Wu:
Sustainable Incentives for Mobile Crowdsensing. CoRR abs/1701.00248 (2017) - [i9]Tie Luo, Salil S. Kanhere, Hwee-Pink Tan, Fan Wu, Hongyi Wu:
Crowdsourcing with Tullock contests: A new perspective. CoRR abs/1701.01216 (2017) - [i8]Tie Luo, Leonid Zeynalvand:
Reshaping Mobile Crowd Sensing using Cross Validation to Improve Data Credibility. CoRR abs/1709.03495 (2017) - 2016
- [i7]Pankesh Patel, Tie Luo, Umesh Bellur:
Evaluating a Development Framework for Engineering Internet of Things Applications. CoRR abs/1606.02119 (2016) - 2015
- [i6]Ramgopal Venkat, Thirumoorthy Divagar, Tie Luo, Hwee Pink Tan:
Participatory Sensing for Government-Centric Applications: A Singapore Case Study. CoRR abs/1508.05021 (2015) - [i5]Tony T. Luo:
Achieving Energy Efficiency for Altruistic DISH: Three Properties. CoRR abs/1509.00554 (2015) - 2014
- [i4]Tie Luo, Chen-Khong Tham:
Fairness and Social Welfare in Incentivizing Participatory Sensing. CoRR abs/1411.5795 (2014) - [i3]Tie Luo, Mehul Motani, Vikram Srinivasan:
Energy-Efficient Strategies for Cooperative Multi-Channel MAC Protocols. CoRR abs/1411.6521 (2014) - [i2]Tie Luo, Mehul Motani, Vikram Srinivasan:
Analyzing DISH for Multi-Channel MAC Protocols in Wireless Networks. CoRR abs/1411.6749 (2014) - [i1]Tie Luo, Vikram Srinivasan, Mehul Motani:
A Metric for DISH Networks: Analysis, Implications, and Applications. CoRR abs/1411.6791 (2014)
Coauthor Index
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