Yang, Qiang
33 papers on CoChatORCID 0000-0001-5059-8360
Most cited papers
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A survey on transfer learning
Pan, S. J., & Yang, Q. (2010) · IEEE Transactions on Knowledge and Data Engineering
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 23,387
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Advances and Open Problems in Federated Learning
Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 7,857
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Federated Machine Learning: Concept and Applications
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · ACM Transactions on Intelligent Systems and Technology
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 6,322
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Top 10 algorithms in data mining
Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems
Data Mining Algorithms and ApplicationsData Mining and Machine Learning Applications
Cited by 5,667
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A Survey on Evaluation of Large Language Models
Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2024) · ACM Transactions on Intelligent Systems and Technology
Topic ModelingNatural Language Processing Techniques
Cited by 4,254
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A Survey on Evaluation of Large Language Models
Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3,159
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A Survey on Multi-Task Learning
Zhang, Y., & Yang, Q. (2017) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 2,910
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Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 2,565
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One-Class Collaborative Filtering
Pan, R., Zhou, Y., Cao, B., Liu, N. N., Lukose, R., Scholz, M., & Yang, Q. (2008) · 2008 Eighth IEEE International Conference on Data Mining
Recommender Systems and TechniquesAdvanced Bandit Algorithms Research
Cited by 1,015
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SecureBoost: A Lossless Federated Learning Framework
Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2021) · IEEE Intelligent Systems
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 669
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SecureBoost: A Lossless Federated Learning Framework
Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2019) · arXiv
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 668
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A secure federated transfer learning framework
Liu, Y., Kang, Y., Xing, C., Chen, T., & Yang, Q. (2020) · IEEE Intelligent Systems
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 645
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Secure Federated Transfer Learning
Liu, Y., Kang, Y., Xing, C., Chen, T., & Yang, Q. (2018) · arXiv
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 645
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Federated Machine Learning: Concept and Applications
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · arXiv
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 600
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Privacy and Robustness in Federated Learning: Attacks and Defenses
Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 548
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Threats to Federated Learning
Lyu, L., Yu, H., Zhao, J., & Yang, Q. (2020) · Lecture Notes in Computer Science
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 444
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FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Liu, Y., Huang, A., Luo, Y., Huang, H., Liu, Y., Chen, Y., Feng, L., Chen, T., Yu, H., & Yang, Q. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Privacy-Preserving Technologies in DataAdvanced Neural Network Applications
Cited by 310
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Data science and AI in FinTech: an overview
Cao, L., Yang, Q., & Yu, P. S. (2021) · International Journal of Data Science and Analytics
FinTech, Crowdfunding, Digital FinanceDigital Transformation in Financial Services
Cited by 238
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Threats to federated learning A survey
Lyu, L., Yu, H., & Yang, Q. (2020) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 221
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Building Ethics into Artificial Intelligence
Yu, H., Shen, Z., Miao, C., Leung, C., Lesser, V. R., & Yang, Q. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Ethics and Social Impacts of AIEthics in Business and Education
Cited by 210
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Learning action models from plan examples using weighted MAX-SAT
Yang, Q., Wu, K., & Jiang, Y. (2007) · Artificial Intelligence
AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge
Cited by 206
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Federated Recommendation Systems
Yang, L., Tan, B., Zheng, V. W., Chen, K., & Yang, Q. (2020) · Lecture Notes in Computer Science
Privacy-Preserving Technologies in DataRecommender Systems and Techniques
Cited by 191
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Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Zhong, E., Fan, W., Yang, Q., Verscheure, O., & Ren, J. (2010) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification
Cited by 132
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Federated Transfer Reinforcement Learning for Autonomous Driving
Liang, X., Liu, Y., Chen, T., Liu, M., & Yang, Q. (2019) · arXiv
Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety
Cited by 131
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