A discriminatory pricing double auction for spectrum allocation. - Liyao Xiang; Gaofei Sun; Jing Liu 023; Xinbing Wang; Li Li (WCNC, 2012)

Ready, Set, Go: Coalesced offloading from mobile devices to the cloud. - Liyao Xiang; Shiwen Ye; Yuan Feng 005; Baochun Li; Bo Li 001 (INFOCOM, 2014)

Coalition Formation Towards Energy-Efficient Collaborative Mobile Computing. - Liyao Xiang; Baochun Li; Bo Li 001 (ICCCN, 2015)

Privacy-preserving inference in crowdsourcing systems. - Liyao Xiang; Baochun Li; Bo Li 001 (CNS, 2017)

$Tack: $ Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing. - Liyao Xiang; Tzu-Yin Tai; Baochun Li; Bo Li 001 (IEEE J. Sel. Areas Commun., 2017)

Differentially-Private Deep Learning from an optimization Perspective. - Liyao Xiang; Jingbo Yang; Baochun Li (INFOCOM, 2019)

Complex-Valued Neural Networks for Privacy Protection. - Liyao Xiang; Haotian Ma; Hao Zhang 063; Yifan Zhang; Quanshi Zhang (CoRR, 2019)

Preventing Information Leakage with Neural Architecture Search. - Shuang Zhang 007; Liyao Xiang; Congcong Li; Yixuan Wang; Zeyu Liu; Quanshi Zhang; Bo Li 001 (CoRR, 2019)

Context-Aware Deep Model Compression for Edge Cloud Computing. - Lingdong Wang; Liyao Xiang; Jiayu Xu; Jiaju Chen; Xing Zhao; Dixi Yao; Xinbing Wang; Baochun Li (ICDCS, 2020)

Achieving Consensus in Privacy-Preserving Decentralized Learning. - Liyao Xiang; Lingdong Wang; Shufan Wang; Baochun Li (ICDCS, 2020)

Interpretable Complex-Valued Neural Networks for Privacy Protection. - Liyao Xiang; Hao Zhang 063; Haotian Ma; Yifan Zhang; Jie Ren 018; Quanshi Zhang (ICLR, 2020)

Deep Quaternion Features for Privacy Protection. - Hao Zhang 063; Yiting Chen 003; Liyao Xiang; Haotian Ma; Jie Shi; Quanshi Zhang (CoRR, 2020)

Rotation-Equivariant Neural Networks for Privacy Protection. - Hao Zhang 063; Yiting Chen 003; Haotian Ma; Xu Cheng 005; Qihan Ren; Liyao Xiang; Jie Shi; Quanshi Zhang (CoRR, 2020)

Achieving Adversarial Robustness via Sparsity. - Shufan Wang; Ningyi Liao; Liyao Xiang; Nanyang Ye 001; Quanshi Zhang (CoRR, 2020)

High-Order Relation Construction and Mining for Graph Matching. - Hui Xu 011; Liyao Xiang; Youmin Le; Xiaoying Gan; Yuting Jia; Luoyi Fu; Xinbing Wang (CoRR, 2020)

A Distributional Robustness Certificate by Randomized Smoothing. - Jungang Yang 002; Liyao Xiang; Ruidong Chen; Yukun Wang; Wei Wang; Xinbing Wang (CoRR, 2020)

Speedup Robust Graph Structure Learning with Low-Rank Information. - Hui Xu 011; Liyao Xiang; Jiahao Yu 001; Anqi Cao; Xinbing Wang (CIKM, 2021)

Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior. - Haoxiang Zhang; Xiaoying Gan; Luoyi Fu; Liyao Xiang; Haiming Jin (GLOBECOM, 2021)

Federated Model Search via Reinforcement Learning. - Dixi Yao; Lingdong Wang; Jiayu Xu; Liyao Xiang; Shuo Shao; Yingqi Chen; Yanjun Tong (ICDCS, 2021)

Privacy Budgeting for Growing Machine Learning Datasets. - Weiting Li; Liyao Xiang; Zhou Zhou; Feng Peng (INFOCOM, 2021)

Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. - Mengyuan Li; Bin Guo 001; Jiangshan Zhang; Jiaqi Liu 002; Sicong Liu 005; Zhiwen Yu 001; Zhetao Li; Liyao Xiang (MASS, 2021)

A secure data collection strategy using mobile vehicles joint UAVs in smart city. - Qingyong Deng; Shaobo Huang; Zhetao Li; Bin Guo 001; Liyao Xiang; Rong Ran (Comput. Networks, 2021)

Privacy-Preserving Federated Learning on Partitioned Attributes. - Shuang Zhang 007; Liyao Xiang; Xi Yu; Pengzhi Chu; Yingqi Chen; Chen Cen; Li Wang 057 (CoRR, 2021)

Improved Matrix Gaussian Mechanism for Differential Privacy. - Jungang Yang 002; Liyao Xiang; Weiting Li; Wei Liu; Xinbing Wang (CoRR, 2021)

Privacy Threats Analysis to Secure Federated Learning. - Yuchen Li; Yifan Bao; Liyao Xiang; Junhan Liu; Cen Chen 001; Li Wang 057; Xinbing Wang (CoRR, 2021)

Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud. - Dixi Yao; Liyao Xiang; Zifan Wang; Jiayu Xu; Chao Li; Xinbing Wang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

MGRec: Multi-Graph Fusion for Recommendation. - Haoyang Ren; Jiaqi Liu 002; Bin Guo 001; Chen Qiu 002; Liyao Xiang; Zhetao Li (BigCom, 2022)

Privacy-Preserving Split Learning via Patch Shuffling over Transformers. - Dixi Yao; Liyao Xiang; Hengyuan Xu; Hangyu Ye; Yingqi Chen (ICDM, 2022)

CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications. - Sicong Liu 005; Yungang Wu; Bin Guo 001; Yuzhan Wang; Ke Ma; Liyao Xiang; Zhetao Li; Zhiwen Yu 001 (IEEE Internet Things J., 2022)

Achieving adversarial robustness via sparsity. - Ningyi Liao; Shufan Wang; Liyao Xiang; Nanyang Ye 001; Shuo Shao; Pengzhi Chu (Mach. Learn., 2022)

Differential Privacy for Tensor-Valued Queries. - Jungang Yang 002; Liyao Xiang; Ruidong Chen; Weiting Li; Baochun Li (IEEE Trans. Inf. Forensics Secur., 2022)

Privacy-Preserving Split Learning via Pareto Optimal Search. - Xi Yu; Liyao Xiang; Shiming Wang; Chengnian Long (ESORICS (4), 2023)

Deep Learning Enabled Semantic-Secure Communication with Shuffling. - Fupei Chen; Liyao Xiang; Hei Victor Cheng; Kaiming Shen (GLOBECOM, 2023)

Mixup Training for Generative Models to Defend Membership Inference Attacks. - Zhe Ji; Qiansiqi Hu; Liyao Xiang; Chenghu Zhou (INFOCOM, 2023)

Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases. - Hui Xu 011; Liyao Xiang; Femke Huang; Yuting Weng; Ruijie Xu 005; Xinbing Wang; Chenghu Zhou (KDD, 2023)

Adaptive Beamforming for Non-Line-of-Sight IRS-Assisted Communications without CSI. - Wenyu Wang; Wenhai Lai; Shuyi Ren; Liyao Xiang; Xin Li 112; Shaobo Niu; Kaiming Shen (PIMRC, 2023)

Crossword: A Semantic Approach to Data Compression via Masking. - Mingxiao Li; Rui Jin; Liyao Xiang; Kaiming Shen; Shuguang Cui (CoRR, 2023)

Shuffled Transformer for Privacy-Preserving Split Learning. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CoRR, 2023)

Towards Tracing Code Provenance with Code Watermarking. - Wei Li 254; Borui Yang; Yujie Sun; Suyu Chen; Ziyun Song; Liyao Xiang; Xinbing Wang; Chenghu Zhou (CoRR, 2023)

Towards Code Watermarking with Dual-Channel Transformations. - Borui Yang; Wei Li 254; Liyao Xiang; Bo Li 005 (CoRR, 2023)

A New Zero Knowledge Argument for General Circuits and Its Application. - Haohua Duan; Liyao Xiang; Xinbing Wang; Pengzhi Chu; Chenghu Zhou (IEEE Trans. Inf. Forensics Secur., 2023)

DPlanner: A Privacy Budgeting System for Utility. - Weiting Li; Liyao Xiang; Bin Guo 001; Zhetao Li; Xinbing Wang (IEEE Trans. Inf. Forensics Secur., 2023)

Matrix Gaussian Mechanisms for Differentially-Private Learning. - Jungang Yang 002; Liyao Xiang; Jiahao Yu 001; Xinbing Wang; Bin Guo 001; Zhetao Li; Baochun Li (IEEE Trans. Mob. Comput., 2023)

Differentially-Private Deep Learning With Directional Noise. - Liyao Xiang; Weiting Li; Jungang Yang 002; Xinbing Wang; Baochun Li (IEEE Trans. Mob. Comput., 2023)

Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power. - Shiming Wang; Liyao Xiang; Bowei Cheng; Zhe Ji; Tianran Sun; Xinbing Wang (CCS, 2024)

Permutation Equivariance of Transformers and its Applications. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CVPR, 2024)

CROSSWORD: A Semantic Approach To Text Compression Via Masking. - Mingxiao Li; Rui Jin; Liyao Xiang; Kaiming Shen; Shuguang Cui (ICASSP, 2024)

Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. - Ke Hu; Liyao Xiang; Peng Tang; Weidong Qiu (IJCAI, 2024)

A Principled Approach to Natural Language Watermarking. - Zhe Ji; Qiansiqi Hu; Yicheng Zheng; Liyao Xiang; Xinbing Wang (ACM Multimedia, 2024)

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models. - Shiming Wang; Zhe Ji; Liyao Xiang; Hao Zhang 063; Xinbing Wang; Chenghu Zhou; Bo Li 115 (NDSS, 2024)

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases. - Hang Yin 009; Liyao Xiang; Dong Ding; Yuheng He; Yihan Wu; Pengzhi Chu; Xinbing Wang; Chenghu Zhou (NeurIPS, 2024)

SrcMarker: Dual-Channel Source Code Watermarking via Scalable Code Transformations. - Borui Yang; Wei Li 254; Liyao Xiang; Bo Li 001 (SP, 2024)

AceMap: Knowledge Discovery through Academic Graph. - Xinbing Wang; Luoyi Fu; Xiaoying Gan; Ying Wen 001; Guanjie Zheng; Jiaxin Ding 001; Liyao Xiang; Nanyang Ye 001; Meng Jin 002; Shiyu Liang; Bin Lu 005; Haiwen Wang; et al. (CoRR, 2024)

Hufu: A Modality-Agnositc Watermarking System for Pre-Trained Transformers via Permutation Equivariance. - Hengyuan Xu; Liyao Xiang; Xingjun Ma; Borui Yang; Baochun Li (CoRR, 2024)

Entity Alignment with Unlabeled Dangling Cases. - Hang Yin 009; Dong Ding; Liyao Xiang; Yuheng He; Yihan Wu; Xinbing Wang; Chenghu Zhou (CoRR, 2024)

Weights Shuffling for Improving DPSGD in Transformer-based Models. - Jungang Yang 002; Zhe Ji; Liyao Xiang (CoRR, 2024)

A Verifiable and Privacy-Preserving Federated Learning Training Framework. - Haohua Duan; Zedong Peng; Liyao Xiang; Yuncong Hu; Bo Li 001 (IEEE Trans. Dependable Secur. Comput., 2024)

MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps. - Wei Li 254; Borui Yang; Hangyu Ye; Liyao Xiang; Qingxiao Tao; Xinbing Wang; Chenghu Zhou (IEEE Trans. Dependable Secur. Comput., 2024)

Certified Distributional Robustness on Smoothed Classifiers. - Jungang Yang 002; Liyao Xiang; Pengzhi Chu; Xinbing Wang; Chenghu Zhou (IEEE Trans. Dependable Secur. Comput., 2024)

Open-World Graph Active Learning for Node Classification. - Hui Xu 011; Liyao Xiang; Junjie Ou; Yuting Weng; Xinbing Wang; Chenghu Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Distributional Learning for Network Alignment with Global Constraints. - Hui Xu 011; Liyao Xiang; Xiaoying Gan; Luoyi Fu; Xinbing Wang; Chenghu Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Learning to Prevent Input Leakages in the Mobile Cloud Inference. - Liyao Xiang; Shuang Zhang 007; Quanshi Zhang (IEEE Trans. Mob. Comput., 2024)

Shuffling for Semantic Secrecy. - Fupei Chen; Liyao Xiang; Haoxiang Sun; Hei Victor Cheng; Kaiming Shen (IEEE Trans. Inf. Forensics Secur., 2025)

Mitigating Unfairness in Differentially-Private Federated Learning. - Bingqian Du; Liyao Xiang; Chuan Wu 001 (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2025)

Graph Unlearning via Embedding Reconstruction - A Range-Null Space Decomposition Approach. - Hang Yin 009; Zipeng Liu; Xiaoyong Peng; Liyao Xiang (CoRR, 2025)