Adaptive synchronization of multi-agent systems with unknown nonlinear dynamics. - Gaoyang Liu; Hui Yu 003; Xiaohua Xia (ICCA, 2013)

Adaptive Consensus of Multi-agents in Jointly Connected Networks. - Gaoyang Liu; Hui Yu 003; Yi Zhang (ICICA (1), 2013)

Understanding Mobility via Deep Multi-Scale Learning. - Rui Zhang 066; Peng Xie; Chen Wang 011; Gaoyang Liu; Shaohua Wan 001 (IIKI, 2018)

Synchronization-Free GPS Spoofing Detection with Crowdsourced Air Traffic Control Data. - Gaoyang Liu; Rui Zhang 066; Chen Wang 011; Ling Liu 001 (MDM, 2019)

Classifying transportation mode and speed from trajectory data via deep multi-scale learning. - Rui Zhang 066; Peng Xie; Chen Wang 011; Gaoyang Liu; Shaohua Wan 001 (Comput. Networks, 2019)

On the Performance of $k$ -Anonymity Against Inference Attacks With Background Information. - Ping Zhao 001; Hongbo Jiang 001; Chen Wang 011; Haojun Huang; Gaoyang Liu; Yang Yang 060 (IEEE Internet Things J., 2019)

SocInf: Membership Inference Attacks on Social Media Health Data With Machine Learning. - Gaoyang Liu; Chen Wang 011; Kai Peng 001; Haojun Huang; Yutong Li; Wenqing Cheng (IEEE Trans. Comput. Soc. Syst., 2019)

Blockchain consensuses and incentives. - Meijun Li; Gaoyang Liu; Jialin Tian; Chen Wang 011; Yang Yang 060; Shaohua Wan 001 (Blockchains for Network Security, 2020)

AFA: Adversarial fingerprinting authentication for deep neural networks. - Jingjing Zhao; Qingyue Hu; Gaoyang Liu; Xiaoqiang Ma; Fei Chen 014; Mohammad Mehedi Hassan (Comput. Commun., 2020)

Federated Unlearning. - Gaoyang Liu; Yang Yang 060; Xiaoqiang Ma; Chen Wang 011; Jiangchuan Liu (CoRR, 2020)

A survey of local differential privacy for securing internet of vehicles. - Ping Zhao 001; Guanglin Zhang; Shaohua Wan 001; Gaoyang Liu; Tariq Umer (J. Supercomput., 2020)

MIASec: Enabling Data Indistinguishability Against Membership Inference Attacks in MLaaS. - Chen Wang 011; Gaoyang Liu; Haojun Huang; Weijie Feng; Kai Peng 001; Lizhe Wang 001 (IEEE Trans. Sustain. Comput., 2020)

Recent advances in consensus protocols for blockchain: a survey. - Shaohua Wan 001; Meijun Li; Gaoyang Liu; Chen Wang 011 (Wirel. Networks, 2020)

FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models. - Gaoyang Liu; Xiaoqiang Ma; Yang Yang 060; Chen Wang 011; Jiangchuan Liu (IWQoS, 2021)

ML-Stealer: Stealing Prediction Functionality of Machine Learning Models with Mere Black-Box Access. - Gaoyang Liu; Shijie Wang 007; Borui Wan; Zekun Wang; Chen Wang 011 (TrustCom, 2021)

Design and analysis of a fair, efficient and stable multi-server adaptive streaming protocol. - Shengkai Zhang; Gaoyang Liu; Ji Xu; Shaohua Wan 001 (Comput. Electr. Eng., 2021)

GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data. - Gaoyang Liu; Rui Zhang 066; Yang Yang 060; Chen Wang 011; Ling Liu 001 (Distributed Parallel Databases, 2021)

Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing. - Gaoyang Liu; Chen Wang 011; Xiaoqiang Ma; Yang Yang 060 (IEEE Netw., 2021)

Physical design of fusion based on generative adversarial networks. - Wenbin Xiong; Pan Liu; Zhangchun Tang; Yan Shi 014; Chencheng Liu; Fanyu Qu; Gaoyang Liu; Qiang Gao (ACAI, 2022)

Physical design for driven device of Z-FFR based on Machine Learning. - Wenbin Xiong; Zhangchun Tang; Pan Liu; Gaoyang Liu; Fanyu Qu; Qiang Gao; Chencheng Liu (ISCID, 2022)

Safeguarding cross-silo federated learning with local differential privacy. - Chen Wang 011; Xinkui Wu; Gaoyang Liu; Tianping Deng; Kai Peng 001; Shaohua Wan 001 (Digit. Commun. Networks, 2022)

Your Model Trains on My Data? Protecting Intellectual Property of Training Data via Membership Fingerprint Authentication. - Gaoyang Liu; Tianlong Xu; Xiaoqiang Ma; Chen Wang 011 (IEEE Trans. Inf. Forensics Secur., 2022)

Natural Language Processing Combined with Digital Twins to Drive Fusion Physics Design. - Zilong Yuan; Pan Liu; Huan Mao; Gaoyang Liu; Wenbin Xiong; Zhangchun Tang (AIBDF, 2023)

Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data. - Chunming Liu; Daniyal M. Alghazzawi; Li Cheng 007; Gaoyang Liu; Chen Wang 011; Cheng Zeng; Yang Yang 060 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity. - Zhen Wang; Daniyal M. Alghazzawi; Li Cheng 007; Gaoyang Liu; Chen Wang 011; Zeng Cheng; Yang Yang 060 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary. - Min Chen; Weizhuo Gao; Gaoyang Liu; Kai Peng 001; Chen Wang 011 (CVPR, 2023)

AIoT-Empowered Smart Grid Energy Management with Distributed Control and Non-Intrusive Load Monitoring. - Linfeng Shen; Feng Wang 001; Miao Zhang 003; Jiangchuan Liu; Gaoyang Liu; Xiaoyi Fan 001 (IWQoS, 2023)

Equivalence of MTS and CMR methods associated with the normal form of Hopf bifurcation for delayed reaction-diffusion equations. - Yuting Ding; Gaoyang Liu; Liyuan Zheng (Commun. Nonlinear Sci. Numer. Simul., 2023)

Boundary Unlearning. - Min Chen; Weizhuo Gao; Gaoyang Liu; Kai Peng 001; Chen Wang 011 (CoRR, 2023)

Membership Inference Attacks Against Machine Learning Models via Prediction Sensitivity. - Lan Liu; Yi Wang 150; Gaoyang Liu; Kai Peng 001; Chen Wang 011 (IEEE Trans. Dependable Secur. Comput., 2023)

TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks Against Federated Learning. - Gaoyang Liu; Zehao Tian; Jian Chen 046; Chen Wang 011; Jiangchuan Liu (IEEE Trans. Inf. Forensics Secur., 2023)

Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary. - Zehao Tian; Zixiong Wang; Ahmed M. Abdelmoniem; Gaoyang Liu; Chen Wang 011 (IEEE Trans. Inf. Forensics Secur., 2023)

Few-Shot Camouflaged Object Segmentation. - Ziqiu Wang; Yuying Li; Yang Yang 060; Yamin Li; Gaoyang Liu (IJCNN, 2024)

A Continuous Verification Mechanism for Clients in Federated Unlearning to Defend the Right to be Forgotten. - Shanshan Chen; Jun Liu; Yuying Li; Yamin Li; Yang Yang 060; Gaoyang Liu; Chen Wang 011 (ISPA, 2024)

A Contribution Assessment Method Based on Model Performance Gains in Federated Learning. - Zixuan Zhao; Jun Liu; Yuyin Li; Gaoyang Liu; Yamin Li; Yang Yang 060 (ISPA, 2024)

United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories. - Tianlong Xu; Chen Wang 011; Gaoyang Liu; Yang Yang 060; Kai Peng 001; Wei Liu 004 (NeurIPS, 2024)

Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation. - Yuying Li; Gaoyang Liu; Yang Yang 060; Chen Wang 011 (CoRR, 2024)

Membership Inference Attack against Long-Context Large Language Models. - Zixiong Wang; Gaoyang Liu; Yang Yang 060; Chen Wang 011 (CoRR, 2024)

Shielding sensitive medical imaging data. - Gaoyang Liu; Chen Wang 011; Tian Xia (Nat. Mac. Intell., 2024)

Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning. - Jian Chen 046; Yuan Gao; Gaoyang Liu; Ahmed M. Abdelmoniem; Chen Wang 011 (IEEE Trans. Inf. Forensics Secur., 2024)

Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models. - Gaoyang Liu; Tianlong Xu; Rui Zhang 066; Zixiong Wang; Chen Wang 011; Ling Liu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

EgoMUIL: Enhancing Spatio-Temporal User Identity Linkage in Location-Based Social Networks With Ego-Mo Hypergraph. - Haojun Huang; Fengxiang Ding; Hao Yin; Gaoyang Liu; Chen Wang 011; Dapeng Oliver Wu (IEEE Trans. Mob. Comput., 2024)

Accurate Prediction of Network Distance via Federated Deep Reinforcement Learning. - Haojun Huang; Yiming Cai; Geyong Min; Haozhe Wang 001; Gaoyang Liu; Dapeng Oliver Wu (IEEE/ACM Trans. Netw., 2024)

Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models. - Lishuai Hou; Zixiong Wang; Gaoyang Liu; Chen Wang 011; Wei Liu 004; Kai Peng 001 (ACL (Findings), 2025)

Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation. - Yuying Li; Gaoyang Liu; Chen Wang 011; Yang Yang 060 (ICASSP, 2025)

A real-time welding defect detection framework based on RT-DETR deep neural network. - Gaoyang Liu; Duanrui Yang; Jun Ye; Hongjia Lu; Zhen Wang; Yang Zhao (Adv. Eng. Informatics, 2025)

A transformer neural network based framework for steel defect detection under complex scenarios. - Gaoyang Liu; Yi Chen; Jun Ye; Yan Jiang; Hongchuan Yu; Jing Tang; Yang Zhao (Adv. Eng. Softw., 2025)

Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models. - Gaoyang Liu; Tianlong Xu; Yang Yang 060; Ahmed M. Abdelmoniem; Chen Wang 011; Jiangchuan Liu (IEEE Trans. Dependable Secur. Comput., 2025)

Mitigating malicious model fusion in federated learning via confidence-aware defense. - Qilei Li; Pantelis Papageorgiou; Gaoyang Liu; Mingliang Gao 001; Linlin You; Chen Wang 011; Ahmed M. Abdelmoniem (Inf. Fusion, 2026)