Yang Liu
Orcid: 0000-0003-3800-3533Affiliations:
- Tsinghua University, Institute for AI Industry Research, Beijing, China
- WeBank, AI Department, Shenzhen, China (former)
- Princeton University, NJ, USA (PhD)
According to our database1,
Yang Liu
authored at least 78 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications.
IEEE Trans. Mob. Comput., May, 2024
IEEE Trans. Parallel Distributed Syst., April, 2024
2023
Knowl. Based Syst., April, 2023
AI Mag., March, 2023
J. Frankl. Inst., 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients.
CoRR, 2023
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training.
CoRR, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2022
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.
IEEE Trans. Signal Process., 2022
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2022
ACM Trans. Intell. Syst. Technol., 2022
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol., 2022
ACM Trans. Intell. Syst. Technol., 2022
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022
ACM Trans. Intell. Syst. Technol., 2022
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation.
CoRR, 2022
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
Proceedings of the Frontiers of Algorithmic Wisdom, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Signal Process., 2021
ACM Trans. Intell. Syst. Technol., 2021
J. Mach. Learn. Res., 2021
CoRR, 2021
AI Mag., 2021
2020
Proceedings of the Federated Learning - Privacy and Incentive, 2020
A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields.
IEEE Trans. Inf. Theory, 2020
Multi-component transfer metric learning for handling unrelated source domain samples.
Knowl. Based Syst., 2020
IEEE Intell. Syst., 2020
CoRR, 2020
CoRR, 2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.
CoRR, 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
CoRR, 2020
Proceedings of the 2020 USENIX Annual Technical Conference, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01585-4, 2019
ACM Trans. Intell. Syst. Technol., 2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018