Decision Tree Design for Classification in Crowdsourcing Systems. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (ACSSC, 2018)

A Truthful Mechanism For Mobility Management In Unmanned Aerial Vehicles Networks. - Baocheng Geng; Swastik Brahma; Pramod K. Varshney (ACSSC, 2019)

Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach. - Shan Zhang 007; Baocheng Geng; Pramod K. Varshney; Muralidhar Rangaswamy (FUSION, 2019)

On Amelioration Of Human Cognitive Biases In Binary Decision Making. - Baocheng Geng; Pramod K. Varshney; Muralidhar Rangaswamy (GlobalSIP, 2019)

On Decision Making In Human-Machine Networks. - Baocheng Geng; Pramod K. Varshney (MASS, 2019)

Optimal Auction Design With Quantized Bids for Target Tracking via Crowdsensing. - Nianxia Cao; Swastik Brahma; Baocheng Geng; Pramod K. Varshney (IEEE Trans. Comput. Soc. Syst., 2019)

Asymptotic Performance In Heterogeneous Human-machine Inference Networks. - Chen Quan; Baocheng Geng; Pramod K. Varshney (ACSSC, 2020)

On Human Assisted Decision Making for Machines Using Correlated Observations. - Nandan Sriranga; Baocheng Geng; Pramod K. Varshney (ACSSC, 2020)

A Novel Spectrally-Efficient Uplink Hybrid-Domain NOMA System. - Chen Quan; Animesh Yadav; Baocheng Geng; Pramod K. Varshney; H. Vincent Poor (IEEE Commun. Lett., 2020)

Prospect Theoretic Utility Based Human Decision Making in Multi-Agent Systems. - Baocheng Geng; Swastik Brahma; Thakshila Wimalajeewa; Pramod K. Varshney; Muralidhar Rangaswamy (IEEE Trans. Signal Process., 2020)

Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (IEEE Trans. Signal Process., 2020)

Cognitive Memory Constrained Human Decision Making based on Multi-source Information. - Baocheng Geng; Quan Chen; Pramod K. Varshney (ICASSP, 2021)

On Strategic Jamming in Distributed Detection Networks. - Chen Quan; Baocheng Geng; Pramod K. Varshney (ICASSP, 2021)

Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (IEEE Internet Things J., 2021)

Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks. - Xiancheng Cheng; Baocheng Geng; Prashant Khanduri; Baixiao Chen; Pramod K. Varshney (IEEE Signal Process. Lett., 2021)

Loss Attitude Aware Energy Management for Signal Detection. - Baocheng Geng; Chen Quan; Tianyun Zhang; Makan Fardad; Pramod K. Varshney (IEEECONF, 2022)

Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantines. - Chen Quan; Yunghsiang S. Han; Baocheng Geng; Pramod K. Varshney (IEEECONF, 2022)

Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. - Baocheng Geng; Pramod K. Varshney (CIC, 2022)

Human Decision Making with Bounded Rationality. - Baocheng Geng; Qunwei Li; Pramod K. Varshney (ICASSP, 2022)

Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine. - Chen Quan; Yunghsiang S. Han; Baocheng Geng; Pramod K. Varshney (CoRR, 2022)

Collaborative Human Decision Making With Heterogeneous Agents. - Baocheng Geng; Xiancheng Cheng; Swastik Brahma; David Kellen; Pramod K. Varshney (IEEE Trans. Comput. Soc. Syst., 2022)

Taking a Deeper Look at the Brain: Predicting Visual Perceptual and Working Memory Load From High-Density fNIRS Data. - Jiyang Wang; Trevor Grant; Senem Velipasalar; Baocheng Geng; Leanne M. Hirshfield (IEEE J. Biomed. Health Informatics, 2022)

Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks. - Chen Quan; Baocheng Geng; Yunghsiang S. Han; Pramod K. Varshney (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks. - Chen Quan; Baocheng Geng; Yunghsiang S. Han; Pramod K. Varshney (CISS, 2023)

Sequential Processing of Observations in Human Decision-Making Systems. - Nandan Sriranga; Baocheng Geng; Pramod K. Varshney (FUSION, 2023)

Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks. - Chen Quan; Nandan Sriranga; Haodong Yang; Yunghsiang S. Han; Baocheng Geng; Pramod K. Varshney (IEEE Signal Process. Lett., 2023)

On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks. - Chen Quan; Saikiran Bulusu; Baocheng Geng; Yunghsiang S. Han; Nandan Sriranga; Pramod K. Varshney (IEEE Trans. Signal Process., 2023)

A Hypothesis Testing-based Framework for Cyber Deception with Sludging. - Abhinav Kumar; Swastik Brahma; Baocheng Geng; Charles A. Kamhoua; Pramod K. Varshney (Allerton, 2024)

Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. - Mengchen Fan; Baocheng Geng; Keren Li; Xueqian Wang 001; Pramod K. Varshney (FUSION, 2024)

Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. - Mengchen Fan; Baocheng Geng; Keren Li; Xueqian Wang 002; Pramod K. Varshney (CoRR, 2024)

Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks. - Chen Quan; Yunghsiang S. Han; Baocheng Geng; Pramod K. Varshney (IEEE Trans. Signal Process., 2024)

Deep Multimodal Data Fusion. - Fei Zhao 003; Chengcui Zhang; Baocheng Geng (ACM Comput. Surv., 2024)

Robust Multi-task Adversarial Attacks Using Min-max Optimization. - Jiacheng Guo; Lei Li; Haochen Yang; Baocheng Geng; Hongkai Yu; Minghai Qin; Tianyun Zhang (ICASSP, 2025)

A unified DNN weight compression framework using reweighted optimization methods. - Mengchen Fan; Tianyun Zhang; Xiaolong Ma; Jiacheng Guo; Zheng Zhan 001; Shanglin Zhou; Minghai Qin; Caiwen Ding; Baocheng Geng; Makan Fardad; Yanzhi Wang (Intell. Syst. Appl., 2025)

A Copula-Guided In-Model Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images. - Weiming Li; Xueqian Wang 002; Gang Li 008; Baocheng Geng; Pramod K. Varshney (IEEE Trans. Geosci. Remote. Sens., 2025)

Measuring Heterogeneity in Machine Learning with Distributed Energy Distance. - Mengchen Fan; Baocheng Geng; Roman Shterenberg; Joseph A. Casey; Zhong Chen; Keren Li (CoRR, 2025)

PFedDST: Personalized Federated Learning with Decentralized Selection Training. - Mengchen Fan; Keren Li; Tianyun Zhang; Qing Tian; Baocheng Geng (CoRR, 2025)