Baocheng Geng

Proceedings of the 26th International Conference on Information Fusion, 2023

Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2022

Taking a Deeper Look at the Brain: Predicting Visual Perceptual and Working Memory Load From High-Density fNIRS Data.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Collaborative Human Decision Making With Heterogeneous Agents.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine.

[BibT_eX]

[DOI]

CoRR, 2022

Human Decision Making with Bounded Rationality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantines.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Loss Attitude Aware Energy Management for Signal Detection.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

On Strategic Jamming in Distributed Detection Networks.

[BibT_eX]

[DOI]

Chen Quan

Proceedings of the IEEE International Conference on Acoustics, 2021

Cognitive Memory Constrained Human Decision Making based on Multi-source Information.

[BibT_eX]

[DOI]

Quan Chen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Prospect Theoretic Utility Based Human Decision Making in Multi-Agent Systems.

[BibT_eX]

[DOI]

Swastik Brahma

Thakshila Wimalajeewa

Muralidhar Rangaswamy

IEEE Trans. Signal Process., 2020

A Novel Spectrally-Efficient Uplink Hybrid-Domain NOMA System.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2020

On Human Assisted Decision Making for Machines Using Correlated Observations.

[BibT_eX]

[DOI]

Nandan Sriranga

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Asymptotic Performance In Heterogeneous Human-machine Inference Networks.

[BibT_eX]

[DOI]

Chen Quan

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Optimal Auction Design With Quantized Bids for Target Tracking via Crowdsensing.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2019

On Decision Making In Human-Machine Networks.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

On Amelioration Of Human Cognitive Biases In Binary Decision Making.

[BibT_eX]

[DOI]

Muralidhar Rangaswamy

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach.

[BibT_eX]

[DOI]

Shan Zhang

Muralidhar Rangaswamy

Proceedings of the 22th International Conference on Information Fusion, 2019

A Truthful Mechanism For Mobility Management In Unmanned Aerial Vehicles Networks.

[BibT_eX]

[DOI]

Swastik Brahma

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Decision Tree Design for Classification in Crowdsourcing Systems.

[BibT_eX]

[DOI]