Big Data Platform Architecture under The Background of Financial Technology: In The Insurance Industry As An Example. - Yi Liu 057; Jiawen Peng; Zhihao Yu (BDET, 2018)

PPGAN: Privacy-Preserving Generative Adversarial Network. - Yi Liu 057; Jialiang Peng; James Jian Qiao Yu; Yi Wu 021 (ICPADS, 2019)

Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. - Chenhan Zhang; James Jian Qiao Yu; Yi Liu 057 (IEEE Access, 2019)

Big Data Platform Architecture Under The Background of Financial Technology. - Yi Liu 057; Jiawen Peng; Zhihao Yu (CoRR, 2019)

Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework. - Jiawen Kang 001; Zehui Xiong; Chunxiao Jiang; Yi Liu 057; Song Guo 001; Yang Zhang 025; Dusit Niyato; Cyril Leung; Chunyan Miao (BlockSys, 2020)

Communication-Efficient Federated Learning for Anomaly Detection in Industrial Internet of Things. - Yi Liu 057; Neeraj Kumar 001; Zehui Xiong; Wei Yang Bryan Lim; Jiawen Kang 001; Dusit Niyato (GLOBECOM, 2020)

Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. - Yuanshao Zhu; Shuyu Zhang 003; Yi Liu 057; Dusit Niyato; James J. Q. Yu (ICPADS, 2020)

FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. - Yi Liu 057; Shuyu Zhang 003; Chenhan Zhang; James J. Q. Yu (ITSC, 2020)

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions. - Yi Liu 057; Xingliang Yuan; Zehui Xiong; Jiawen Kang 001; Xiaofei Wang 001; Dusit Niyato (CoRR, 2020)

RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System. - Yi Liu 057; Xingliang Yuan; Ruihui Zhao; Yifeng Zheng; Yefeng Zheng 001 (CoRR, 2020)

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach. - Yi Liu 057; James J. Q. Yu; Jiawen Kang 001; Dusit Niyato; Shuyu Zhang 003 (IEEE Internet Things J., 2020)

Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation. - Yi Wu 021; Yi Liu 057; Syed Hassan Ahmed; Jialiang Peng; Ahmed A. Abd El-Latif 001 (IEEE Internet Things J., 2020)

A Secure Federated Learning Framework for 5G Networks. - Yi Liu 057; Jialiang Peng; Jiawen Kang 001; Abdullah M. Iliyasu; Dusit Niyato; Ahmed A. Abd El-Latif 001 (IEEE Wirel. Commun., 2020)

Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism. - Yi Liu 057; Leijie Wu; Yufeng Zhan; Song Guo 001; Zicong Hong (ICDCS, 2021)

Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach. - Yi Liu 057; Sahil Garg; Jiangtian Nie; Yang Zhang 025; Zehui Xiong; Jiawen Kang 001; M. Shamim Hossain (IEEE Internet Things J., 2021)

Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms. - Yi Liu 057; Jiangtian Nie; Xuandi Li; Syed Hassan Ahmed; Wei Yang Bryan Lim; Chunyan Miao (IEEE Internet Things J., 2021)

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. - Wangjie Jiang; Zhihao Ye; Zijing Ou; Ruihui Zhao; Jianguang Zheng; Yi Liu 057; Bang Liu; Siheng Li; Yujiu Yang; Yefeng Zheng 001 (CIKM, 2022)

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism. - Leijie Wu; Song Guo 001; Yi Liu 057; Zicong Hong; Yufeng Zhan; Wenchao Xu 001 (ICDCS, 2022)

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining. - Yi Liu 057; Lei Xu 019; Xingliang Yuan; Cong Wang 001; Bo Li 001 (INFOCOM, 2022)

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. - Qihua Zhou; Song Guo 001; Yi Liu 057; Jie Zhang 076; Jiewei Zhang; Tao Guo 004; Zhenda Xu; Xun Liu; Zhihao Qu (NeurIPS, 2022)

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Qihua Zhou; Yingchun Wang; Xiaohan Zhao (CoRR, 2022)

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. - Qihua Zhou; Ruibin Li; Song Guo 001; Yi Liu 057; Jingcai Guo; Zhenda Xu (CoRR, 2022)

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. - Yingchun Wang; Song Guo 001; Jingcai Guo; Weizhan Zhang; Richard Yida Xu; Jie Zhang 076; Yi Liu 057 (CoRR, 2022)

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. - Yuanshao Zhu; Yi Liu 057; James J. Q. Yu; Xingliang Yuan (IEEE Trans. Intell. Transp. Syst., 2022)

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. - Yuanshao Zhu; Yongchao Ye; Yi Liu 057; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things. - Jiawen Kang 001; Xuandi Li; Jiangtian Nie; Yi Liu 057; Minrui Xu; Zehui Xiong; Dusit Niyato; Qiang Yan 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis. - Yi Liu 057; Yuanshao Zhu; James J. Q. Yu (IEEE Trans. Netw. Sci. Eng., 2022)

Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things. - Yi Liu 057; Ruihui Zhao; Jiawen Kang 001; Abdulsalam Yassine; Dusit Niyato; Jialiang Peng (ACM Trans. Internet Techn., 2022)

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. - Yixin Zhang; Yong Liu 020; Hao Xiong; Yi Liu 057; Fuqiang Yu; Wei He 020; Yonghui Xu; Lizhen Cui; Chunyan Miao (ICDE, 2023)

SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. - Yingchun Wang; Jingcai Guo; Yi Liu 057; Song Guo 001; Weizhan Zhang; Xiangyong Cao; Qinghua Zheng (CoRR, 2023)

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization. - Yifeng Zheng; Shangqi Lai; Yi Liu 057; Xingliang Yuan; Xun Yi; Cong Wang 001 (IEEE Trans. Dependable Secur. Comput., 2023)

BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. - Yi Liu 057; Cong Wang 001; Xingliang Yuan (KDD, 2024)

Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts. - Yi Liu 057; Chengjun Cai; Xiaoli Zhang 003; Xingliang Yuan; Cong Wang 001 (ACM Multimedia, 2024)

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization. - Yingchun Wang; Jingcai Guo; Song Guo 001; Yi Liu 057; Jie Zhang 076; Weizhan Zhang (ACM Multimedia, 2024)

BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. - Yi Liu 057; Cong Wang 001; Xingliang Yuan (CoRR, 2024)

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting. - Leijie Wu; Song Guo 001; Zicong Hong; Yi Liu 057; Wenchao Xu 001; Yufeng Zhan (IEEE Trans. Mob. Comput., 2024)

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. - Yi Liu 057; Song Guo 001; Yufeng Zhan; Leijie Wu; Zicong Hong; Qihua Zhou (IEEE Trans. Mob. Comput., 2024)

CALM: Curiosity-Driven Auditing for Large Language Models. - Xiang Zheng; Longxiang Wang; Yi Liu 057; Xingjun Ma; Chao Shen 001; Cong Wang 001 (AAAI, 2025)

FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities. - Yi Liu 057; Cong Wang 001; Xingliang Yuan (WWW, 2025)

Collaborative Neural Architecture Search for Personalized Federated Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Zicong Hong; Yufeng Zhan; Qihua Zhou (IEEE Trans. Computers, 2025)

Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning. - Yi Liu 057; Song Guo 001; Jie Zhang 076; Yufeng Zhan; Qihua Zhou; Yingchun Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)