Incentivizing Crowdsourced Workers via Truth Detection. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (GlobalSIP, 2019)

Crowdsourcing with Heterogeneous Workers in Social Networks. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (GLOBECOM, 2019)

Online Crowd Learning with Heterogeneous Workers via Majority Voting. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (WiOpt, 2020)

Strategic Information Revelation in Crowdsourcing Systems Without Verification. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (INFOCOM, 2021)

Incentivizing Data Contribution in Cross-Silo Federated Learning. - Chao Huang 028; Huanle Zhang; Xin Liu 002 (CoRR, 2022)

Cross-Silo Federated Learning: Challenges and Opportunities. - Chao Huang 028; Jianwei Huang 001; Xin Liu 002 (CoRR, 2022)

Quantifying the Impact of Label Noise on Federated Learning. - Shuqi Ke; Chao Huang 028; Xin Liu 002 (CoRR, 2022)

Using Truth Detection to Incentivize Workers in Mobile Crowdsourcing. - Chao Huang 028; Haoran Yu 001; Randall A. Berry; Jianwei Huang 001 (IEEE Trans. Mob. Comput., 2022)

Eliciting Information From Heterogeneous Mobile Crowdsourced Workers Without Verification. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (IEEE Trans. Mob. Comput., 2022)

Incentive Mechanism Design for Distributed Ensemble Learning. - Chao Huang 028; Pengchao Han; Jianwei Huang 001 (GLOBECOM, 2023)

Federated Learning in Competitive EV Charging Market. - Chenxi Sun; Chao Huang 028; Biying Shou; Jianwei Huang 001 (ISGT EUROPE, 2023)

Information Elicitation from Decentralized Crowd Without Verification. - Kexin Chen; Chao Huang 028; Jianwei Huang 001 (WiOpt, 2023)

On the Impact of Label Noise in Federated Learning. - Shuqi Ke; Chao Huang 028; Xin Liu 002 (WiOpt, 2023)

An Online Inference-Aided Incentive Framework for Information Elicitation Without Verification. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall Berry (IEEE J. Sel. Areas Commun., 2023)

Strategic Information Revelation Mechanism in Crowdsourcing Applications Without Verification. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (IEEE Trans. Mob. Comput., 2023)

Online Crowd Learning Through Strategic Worker Reports. - Chao Huang 028; Haoran Yu 001; Jianwei Huang 001; Randall A. Berry (IEEE Trans. Mob. Comput., 2023)

An Accuracy-Shaping Mechanism for Competitive Distributed Learning. - Chao Huang 028; Justin Dachille; Xin Liu 002 (ICANN (6), 2024)

Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning. - Pengchao Han; Chao Huang 028; Xingyan Shi; Jianwei Huang 001; Xin Liu 002 (ICDCS, 2024)

Convergence Analysis of Split Federated Learning on Heterogeneous Data. - Pengchao Han; Chao Huang 028; Geng Tian; Ming Tang 006; Xin Liu 002 (CoRR, 2024)

When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation. - Chao Huang 028; Justin Dachille; Xin Liu 002 (IEEE Internet Things J., 2024)

Duopoly Business Competition in Cross-Silo Federated Learning. - Chao Huang 028; Shuqi Ke; Xin Liu 002 (IEEE Trans. Netw. Sci. Eng., 2024)

Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities. - Chao Huang 028; Ming Tang 006; Qian Ma 002; Jianwei Huang 001; Xin Liu 002 (IEEE Commun. Mag., 2024)

Incentivizing Efficient Label Denoising in Federated Learning. - Yizhou Yan; Xinyu Tang; Chao Huang 028; Ming Tang 006 (IEEE Internet Things J., 2024)

An empirical study on impact of label noise on synthetic tabular data generation. - Jeonghoon Kim; Chao Huang 028; Xin Liu 002 (Mach. Learn., 2025)