An overview of multi-antenna technologies for space-ground integrated networks. - Lei Gao; Shuo Zhang 012; Ziyao Liu; Jinyong Lin; Shuai Wang 013; Chengwen Xing (Sci. China Inf. Sci., 2016)

Parallel Symbol Timing Recovery Using FPGA for 600 Msps QPSK. - Di Huang; Zhijie Wang; Jun Wang; Ziyao Liu (ChinaCom (1), 2017)

LUT-Based Efficient Impulse Shaping for Direct Synthesizing Digital Communication Signals at Arbitrary Symbol Rate. - Ziyao Liu; Zhijie Wang; Jun Wang; Di Huang; Nangen Zhang (ChinaCom (2), 2017)

Differential coherent accumulation acquisition algorithm for DSSS signals on FPGA platform. - Nangen Zhang; Xinyu Gao; Fei Gao; Ziyao Liu (ICCC, 2017)

A Survey on Blockchain: A Game Theoretical Perspective. - Ziyao Liu; Nguyen Cong Luong 001; Wenbo Wang 004; Dusit Niyato; Ping Wang 001; Ying-Chang Liang; Dong In Kim (IEEE Access, 2019)

A Survey on Applications of Game Theory in Blockchain. - Ziyao Liu; Nguyen Cong Luong 001; Wenbo Wang 004; Dusit Niyato; Ping Wang 001; Ying-Chang Liang; Dong In Kim (CoRR, 2019)

MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack. - Ziyao Liu; Ivan Tjuawinata; Chaoping Xing; Kwok-Yan Lam (CoRR, 2020)

Secure Weighted Aggregation in Federated Learning. - Jiale Guo; Ziyao Liu; Kwok-Yan Lam; Jun Zhao 007; Yiqiang Chen 001; Chaoping Xing (CoRR, 2020)

Privacy-Enhanced Federated Learning with Weighted Aggregation. - Jiale Guo; Ziyao Liu; Kwok-Yan Lam; Jun Zhao 007; Yiqiang Chen 001 (SocialSec, 2021)

Privacy-Preserving Aggregation in Federated Learning: A Survey. - Ziyao Liu; Jiale Guo; Wenzhuo Yang; Jiani Fan; Kwok-Yan Lam; Jun Zhao 007 (CoRR, 2022)

Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer. - Shiyao Ma; Jiangtian Nie; Jiawen Kang 001; Lingjuan Lyu; Ryan Wen Liu; Ruihui Zhao; Ziyao Liu; Dusit Niyato (IEEE Trans. Ind. Informatics, 2022)

A Practical Intrusion Detection System Trained on Ambiguously Labeled Data for Enhancing IIoT Security. - Wenzhuo Yang; Zhaowei Chu; Jiani Fan; Ziyao Liu; Kwok-Yan Lam (CPSS@AsiaCCS, 2023)

Privacy-Enhanced Knowledge Transfer with Collaborative Split Learning over Teacher Ensembles. - Ziyao Liu; Jiale Guo; Mengmeng Yang 002; Wenzhuo Yang; Jiani Fan; Kwok-Yan Lam (SecTL@AsiaCCS, 2023)

A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles. - Jiani Fan; Minrui Xu; Ziyao Liu; Huanyi Ye; Chaojie Gu; Dusit Niyato; Kwok-Yan Lam (VTC Fall, 2023)

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions. - Ziyao Liu; Yu Jiang; Jiyuan Shen; Minyi Peng; Kwok-Yan Lam; Xingliang Yuan (CoRR, 2023)

Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning. - Ziyao Liu; Jiale Guo; Kwok-Yan Lam; Jun Zhao 007 (IEEE Trans. Inf. Forensics Secur., 2023)

Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning. - Ziyao Liu; Hsiao-Ying Lin; Yamin Liu (IEEE Trans. Inf. Forensics Secur., 2023)

MPC-enabled privacy-preserving machine learning - Ziyao Liu (2023)

Understanding Security in Smart City Domains From the ANT-Centric Perspective. - Jiani Fan; Wenzhuo Yang; Ziyao Liu; Jiawen Kang 001; Dusit Niyato; Kwok-Yan Lam; Hongyang Du (IEEE Internet Things J., 2023)

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation. - Yu Jiang; Xindi Tong; Ziyao Liu; Huanyi Ye; Chee-Wei Tan 001; Kwok-Yan Lam (IEEE Big Data, 2024)

LEO Satellite-Enabled Networks: A Privacy-Preserving Framework for Spectrum Pricing and Power Control Optimization. - Bowen Shen; Kwok-Yan Lam; Wenzhuo Yang; Ziyao Liu; Feng Li 008 (MSN, 2024)

Malicious Unlearning in Ensemble Models. - Huanyi Ye; Ziyao Liu; Yu Jiang; Jiale Guo; Kwok-Yan Lam (PST, 2024)

Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer. - Weifei Jin; Yuxin Cao; Junjie Su; Qi Shen; Kai Ye; Derui Wang; Jie Hao 001; Ziyao Liu (SecTL@AsiaCCS, 2024)

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security. - Yihe Fan; Yuxin Cao; Ziyu Zhao; Ziyao Liu; Shaofeng Li 001 (SMC, 2024)

LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. - Yuxin Qi; Xi Lin 003; Ziyao Liu; Gaolei Li; Jingyu Wang 005; Jianhua Li 001 (WWW (Companion Volume), 2024)

Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. - Jingyu Wang 005; Niantai Jing; Ziyao Liu; Jie Nie; Yuxin Qi; Chi-Hung Chi; Kwok-Yan Lam (WWW (Companion Volume), 2024)

3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder. - Haoxin Xu; Zezheng Zhao; Yuxin Cao; Chunyu Chen; Hao Ge; Ziyao Liu (WWW (Companion Volume), 2024)

Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning. - Yu Jiang; Jiyuan Shen; Ziyao Liu; Chee Wei Tan 001; Kwok-Yan Lam (CoRR, 2024)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey. - Ziyao Liu; Huanyi Ye; Chen Chen 037; Kwok-Yan Lam (CoRR, 2024)

Trustworthy, Responsible, and Safe AI: A Comprehensive Architectural Framework for AI Safety with Challenges and Mitigations. - Chen Chen 037; Ziyao Liu; Weifeng Jiang; Goh Si Qi; Kwok-Yan Lam (CoRR, 2024)

Compact Lifting for NTT-Unfriendly Modulus. - Ying Liu; Xianhui Lu; Yu Zhang; Ruida Wang; Ziyao Liu; Kunpeng Wang 001 (ACISP (2), 2025)

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System. - Yongsen Zheng; Zongxuan Xie; Guohua Wang; Ziyao Liu; Liang Lin; Kwok-Yan Lam (ACL (Findings), 2025)

Enhancing AI safety of machine unlearning for ensembled models. - Huanyi Ye; Jiale Guo; Ziyao Liu; Yu Jiang; Kwok-Yan Lam (Appl. Soft Comput., 2025)

MUSE-VFL: Multi-party Unified System for Private and Communication Efficient Backpropagation in Vertical Federated Learning. - Ivan Tjuawinata; Yann Fraboni; Ziyao Liu; Jun Zhao 007; Pu Duan; Kwok-Yan Lam (IACR Cryptol. ePrint Arch., 2025)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey. - Ziyao Liu; Huanyi Ye; Chen Chen 115; Yongsen Zheng; Kwok-Yan Lam (IEEE Open J. Comput. Soc., 2025)

Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation. - Ziyao Liu; Yu Jiang; Weifeng Jiang; Jiale Guo; Jun Zhao 007; Kwok-Yan Lam (IEEE Trans. Dependable Secur. Comput., 2025)

Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning. - Yu Jiang; Jiyuan Shen; Ziyao Liu; Chee-Wei Tan 001; Kwok-Yan Lam (IEEE Trans. Inf. Forensics Secur., 2025)

Privacy-Preserving Federated Unlearning With Certified Client Removal. - Ziyao Liu; Huanyi Ye; Yu Jiang; Jiyuan Shen; Jiale Guo; Ivan Tjuawinata; Kwok-Yan Lam (IEEE Trans. Inf. Forensics Secur., 2025)

An Investigation into Value Misalignment in LLM-Generated Texts for Cultural Heritage. - Fan Bu; Zheng Wang; Siyi Wang; Ziyao Liu (CoRR, 2025)

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions. - Ziyao Liu; Yu Jiang; Jiyuan Shen; Minyi Peng; Kwok-Yan Lam; Xingliang Yuan; Xiaoning Liu 002 (ACM Comput. Surv., 2025)

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions. - Jiani Fan; Lwin Khin Shar; Ruichen Zhang; Ziyao Liu; Wenzhuo Yang; Dusit Niyato; Bomin Mao; Kwok-Yan Lam (CoRR, 2025)

Improving Security in IoT-Based Human Activity Recognition: A Correlation-Based Anomaly Detection Approach. - Jiani Fan; Ziyao Liu; Hongyang Du; Jiawen Kang 001; Dusit Niyato; Kwok-Yan Lam (IEEE Internet Things J., 2025)