Yi Liu

According to our database, Yi Liu authored at least 35 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning.

Yi Liu, Song Guo, Yufeng Zhan, Leijie Wu, Zicong Hong, Qihua Zhou

IEEE Trans. Mob. Comput., August, 2024

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting.

Leijie Wu, Song Guo, Zicong Hong, Yi Liu, Wenchao Xu, Yufeng Zhan

IEEE Trans. Mob. Comput., May, 2024

Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts.

Yi Liu, Chengjun Cai, Xiaoli Zhang, Xingliang Yuan, Cong Wang

CoRR, 2024

BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning.

Yi Liu, Cong Wang, Xingliang Yuan

CoRR, 2024

<i>BadSampler: </i> Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning.

Yi Liu, Cong Wang, Xingliang Yuan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization.

Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang

IEEE Trans. Dependable Secur. Comput., 2023

SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization.

Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng

CoRR, 2023

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.

Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things.

Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng

ACM Trans. Internet Techn., 2022

Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis.

Yi Liu, Yuanshao Zhu, James J. Q. Yu

IEEE Trans. Netw. Sci. Eng., 2022

Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things.

Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong, Dusit Niyato, Qiang Yan

IEEE Trans. Netw. Sci. Eng., 2022

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.

Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu

IEEE Trans. Intell. Transp. Syst., 2022

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories.

Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan

IEEE Trans. Intell. Transp. Syst., 2022

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning.

Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu

CoRR, 2022

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming.

Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu

CoRR, 2022

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning.

Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao

CoRR, 2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.

Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining.

Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li

Proceedings of the IEEE INFOCOM 2022, 2022

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism.

Leijie Wu, Song Guo, Yi Liu, Zicong Hong, Yufeng Zhan, Wenchao Xu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.

Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms.

Yi Liu, Jiangtian Nie, Xuandi Li, Syed Hassan Ahmed, Wei Yang Bryan Lim, Chunyan Miao

IEEE Internet Things J., 2021

Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach.

Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain

IEEE Internet Things J., 2021

Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism.

Yi Liu, Leijie Wu, Yufeng Zhan, Song Guo, Zicong Hong

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

A Secure Federated Learning Framework for 5G Networks.

Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif

IEEE Wirel. Commun., 2020

Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation.

Yi Wu, Yi Liu, Syed Hassan Ahmed, Jialiang Peng, Ahmed A. Abd El-Latif

IEEE Internet Things J., 2020

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach.

Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang

IEEE Internet Things J., 2020

RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System.

Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng

CoRR, 2020

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions.

Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato

CoRR, 2020

FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning.

Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories.

Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Communication-Efficient Federated Learning for Anomaly Detection in Industrial Internet of Things.

Yi Liu, Neeraj Kumar, Zehui Xiong, Wei Yang Bryan Lim, Jiawen Kang, Dusit Niyato

Proceedings of the IEEE Global Communications Conference, 2020

Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework.

Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao

Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019

Big Data Platform Architecture Under The Background of Financial Technology.

Yi Liu, Jiawen Peng, Zhihao Yu

CoRR, 2019

Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting.

Chenhan Zhang, James Jian Qiao Yu, Yi Liu

IEEE Access, 2019

PPGAN: Privacy-Preserving Generative Adversarial Network.

Yi Liu, Jialiang Peng, James Jian Qiao Yu, Yi Wu

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019