Yi Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 33

Top Topics

Hierarchical Reinforcement Learning

Affine Transformation

Heterogeneous Data

Top Venues

IEEE Internet Things J.

IEEE Trans. Mob. Comput.

Publications

Yi Liu, Cong Wang, Xingliang Yuan
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. CoRR (2024)
Yi Liu, Cong Wang, Xingliang Yuan
Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. KDD (2024)
Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, Qihua Zhou
Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. IEEE Trans. Mob. Comput. 23 (8) (2024)
Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, Yufeng Zhan
Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting. IEEE Trans. Mob. Comput. 23 (5) (2024)
Yi Liu, Chengjun Cai, Xiaoli Zhang, Xingliang Yuan, Cong Wang
Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts. CoRR (2024)
Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Yi Liu, Yuanshao Zhu, James J. Q. Yu
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Leijie Wu, Song Guo, Yi Liu, Zicong Hong, Yufeng Zhan, Wenchao Xu
Sustainable Federated Learning with Long-term Online VCG Auction Mechanism. ICDCS (2022)
Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong, Dusit Niyato, Qiang Yan
Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu
Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng
Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things. ACM Trans. Internet Techn. 22 (3) (2022)
Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach. IEEE Internet Things J. 8 (8) (2021)
Yi Liu, Yuanshao Zhu, James J. Q. Yu
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis. CoRR (2021)
Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms. IEEE Internet Things J. 8 (12) (2021)
Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach. CoRR (2020)
Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif
A Secure Federated Learning Framework for 5G Networks. IEEE Wirel. Commun. 27 (4) (2020)
Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao
Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework. BlockSys (2020)
Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach. IEEE Internet Things J. 7 (8) (2020)
Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework. CoRR (2020)
Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. ICPADS (2020)
Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach. CoRR (2020)
Yi Wu, Yi Liu, Syed Hassan Ahmed, Jialiang Peng, Ahmed A. Abd El-Latif
Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation. IEEE Internet Things J. 7 (5) (2020)
Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu
FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. ITSC (2020)
Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions. CoRR (2020)
Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif
A Secure Federated Learning Framework for 5G Networks. CoRR (2020)
Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things. CoRR (2020)
Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms. CoRR (2020)
Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System. CoRR (2020)
Yi Liu, Jialiang Peng, James Jian Qiao Yu, Yi Wu
PPGAN: Privacy-Preserving Generative Adversarial Network. ICPADS (2019)
Yi Liu, Jiawen Peng, Zhihao Yu
Big Data Platform Architecture Under The Background of Financial Technology. CoRR (2019)
Yi Liu, Jialiang Peng, James Jian Qiao Yu, Yi Wu
PPGAN: Privacy-preserving Generative Adversarial Network. CoRR (2019)
Chenhan Zhang, James Jian Qiao Yu, Yi Liu
Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. IEEE Access 7 (2019)