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Chao Huang 0028
Person information
- affiliation: UC Davis, Department of Computer Science, CA, USA
- affiliation: Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
Other persons with the same name
- Chao Huang — disambiguation page
- Chao Huang 0001
— University of Hong Kong, Department of Computer Science, Data Mining and Intelligence Lab@HKU, Hong Kong (and 2 more)
- Chao Huang 0002
- Chao Huang 0003 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Chao Huang 0004
- Chao Huang 0005
- Chao Huang 0006
- Chao Huang 0007
- Chao Huang 0008
- Chao Huang 0009
- Chao Huang 0010
- Chao Huang 0011 — Microsoft Research Asia, Beijing, China
- Chao Huang 0012
- Chao Huang 0013
- Chao Huang 0014
- Chao Huang 0015
- Chao Huang 0016 — Tencent Hippocrates Research Lab, Palo Alto, CA, USA (and 2 more)
- Chao Huang 0017
- Chao Huang 0018
- Chao Huang 0019
- Chao Huang 0020
- Chao Huang 0021
- Chao Huang 0022
- Chao Huang 0023
- Chao Huang 0024
- Chao Huang 0025
- Chao Huang 0026 — Alibaba Group (and 1 more)
- Chao Huang 0027 — Kent State University, Cognitive Robotics and AI Lab, CRAI, College of Aeronautics and Engineering, OH, USA
- Chao Huang 0029 — University of Illinois, Urbana-Champaign, Department of Computer Science, Thomas M.Siebel Center, Department of Computer Science, Urbana, IL, USA
- Chao Huang 0030
- Chao Huang 0031
- Chao Huang 0032
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2020 – today
- 2024
- [j9]Chao Huang, Ming Tang, Qian Ma, Jianwei Huang, Xin Liu:
Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities. IEEE Commun. Mag. 62(4): 82-88 (2024) - [j8]Chao Huang
When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation. IEEE Internet Things J. 11(16): 27409-27420 (2024) - [j7]Yizhou Yan
Incentivizing Efficient Label Denoising in Federated Learning. IEEE Internet Things J. 11(23): 38012-38022 (2024) - [j6]Chao Huang
Duopoly Business Competition in Cross-Silo Federated Learning. IEEE Trans. Netw. Sci. Eng. 11(1): 340-351 (2024) - [c10]Chao Huang, Justin Dachille, Xin Liu:
An Accuracy-Shaping Mechanism for Competitive Distributed Learning. ICANN (6) 2024: 143-158 - [c9]Pengchao Han, Chao Huang, Xingyan Shi, Jianwei Huang, Xin Liu:
Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning. ICDCS 2024: 846-856 - [i8]Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu:
Convergence Analysis of Split Federated Learning on Heterogeneous Data. CoRR abs/2402.15166 (2024) - 2023
- [j5]Chao Huang, Haoran Yu
An Online Inference-Aided Incentive Framework for Information Elicitation Without Verification. IEEE J. Sel. Areas Commun. 41(4): 1167-1185 (2023) - [j4]Chao Huang
Strategic Information Revelation Mechanism in Crowdsourcing Applications Without Verification. IEEE Trans. Mob. Comput. 22(5): 2989-3003 (2023) - [j3]Chao Huang, Haoran Yu
Online Crowd Learning Through Strategic Worker Reports. IEEE Trans. Mob. Comput. 22(9): 5406-5417 (2023) - [c8]Chao Huang, Pengchao Han, Jianwei Huang:
Incentive Mechanism Design for Distributed Ensemble Learning. GLOBECOM 2023: 344-350 - [c7]Chenxi Sun, Chao Huang, Biying Shou, Jianwei Huang:
Federated Learning in Competitive EV Charging Market. ISGT EUROPE 2023: 1-5 - [c6]Kexin Chen, Chao Huang, Jianwei Huang:
Information Elicitation from Decentralized Crowd Without Verification. WiOpt 2023: 1-8 - [c5]Shuqi Ke, Chao Huang, Xin Liu:
On the Impact of Label Noise in Federated Learning. WiOpt 2023: 183-190 - [i7]Chao Huang, Pengchao Han, Jianwei Huang:
Incentive Mechanism Design for Distributed Ensemble Learning. CoRR abs/2310.08792 (2023) - [i6]Chenxi Sun, Chao Huang, Biying Shou, Jianwei Huang:
Federated Learning in Competitive EV Charging Market. CoRR abs/2310.08794 (2023) - [i5]Kexin Chen, Chao Huang, Jianwei Huang:
Information Elicitation from Decentralized Crowd Without Verification. CoRR abs/2310.11751 (2023) - 2022
- [j2]Chao Huang
Using Truth Detection to Incentivize Workers in Mobile Crowdsourcing. IEEE Trans. Mob. Comput. 21(6): 2257-2270 (2022) - [j1]Chao Huang
Eliciting Information From Heterogeneous Mobile Crowdsourced Workers Without Verification. IEEE Trans. Mob. Comput. 21(10): 3551-3564 (2022) - [i4]Chao Huang, Huanle Zhang, Xin Liu:
Incentivizing Data Contribution in Cross-Silo Federated Learning. CoRR abs/2203.03885 (2022) - [i3]Chao Huang, Jianwei Huang, Xin Liu:
Cross-Silo Federated Learning: Challenges and Opportunities. CoRR abs/2206.12949 (2022) - [i2]Shuqi Ke
Quantifying the Impact of Label Noise on Federated Learning. CoRR abs/2211.07816 (2022) - 2021
- [c4]Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry:
Strategic Information Revelation in Crowdsourcing Systems Without Verification. INFOCOM 2021: 1-10 - [i1]Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry:
Strategic Information Revelation in Crowdsourcing Systems Without Verification. CoRR abs/2104.03487 (2021) - 2020
- [c3]Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry:
Online Crowd Learning with Heterogeneous Workers via Majority Voting. WiOpt 2020: 41-48
2010 – 2019
- 2019
- [c2]Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry
Incentivizing Crowdsourced Workers via Truth Detection. GlobalSIP 2019: 1-5 - [c1]Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry
Crowdsourcing with Heterogeneous Workers in Social Networks. GLOBECOM 2019: 1-6
Coauthor Index
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last updated on 2024-12-23 19:28 CET by the dblp team
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