Liyao Xiang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 53

Top Topics

Text Compression

Indoor Localization

Information Leakage

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Liyao Xiang, Shuang Zhang, Quanshi Zhang
Learning to Prevent Input Leakages in the Mobile Cloud Inference. IEEE Trans. Mob. Comput. 23 (7) (2024)
Hui Xu, Liyao Xiang, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
Distributional Learning for Network Alignment with Global Constraints. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Hui Xu, Liyao Xiang, Junjie Ou, Yuting Weng, Xinbing Wang, Chenghu Zhou
Open-World Graph Active Learning for Node Classification. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui
CROSSWORD: A Semantic Approach To Text Compression Via Masking. ICASSP (2024)
Hengyuan Xu, Liyao Xiang, Xingjun Ma, Borui Yang, Baochun Li
Hufu: A Modality-Agnositc Watermarking System for Pre-Trained Transformers via Permutation Equivariance. CoRR (2024)
Wei Li, Borui Yang, Hangyu Ye, Liyao Xiang, Qingxiao Tao, Xinbing Wang, Chenghu Zhou
MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Jungang Yang, Zhe Ji, Liyao Xiang
Weights Shuffling for Improving DPSGD in Transformer-based Models. CoRR (2024)
Hang Yin, Dong Ding, Liyao Xiang, Yuheng He, Yihan Wu, Xinbing Wang, Chenghu Zhou
Entity Alignment with Unlabeled Dangling Cases. CoRR (2024)
Jungang Yang, Liyao Xiang, Pengzhi Chu, Xinbing Wang, Chenghu Zhou
Certified Distributional Robustness on Smoothed Classifiers. IEEE Trans. Dependable Secur. Comput. 21 (2) (2024)
Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models. CoRR (2024)
Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou
AceMap: Knowledge Discovery through Academic Graph. CoRR (2024)
Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui
Crossword: A Semantic Approach to Data Compression via Masking. CoRR (2023)
Weiting Li, Liyao Xiang, Bin Guo, Zhetao Li, Xinbing Wang
DPlanner: A Privacy Budgeting System for Utility. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Hui Xu, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou
Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases. KDD (2023)
Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li
Shuffled Transformer for Privacy-Preserving Split Learning. CoRR (2023)
Wei Li, Borui Yang, Yujie Sun, Suyu Chen, Ziyun Song, Liyao Xiang, Xinbing Wang, Chenghu Zhou
Towards Tracing Code Provenance with Code Watermarking. CoRR (2023)
Wenyu Wang, Wenhai Lai, Shuyi Ren, Liyao Xiang, Xin Li, Shaobo Niu, Kaiming Shen
Adaptive Beamforming for Non-Line-of-Sight IRS-Assisted Communications without CSI. PIMRC (2023)
Jungang Yang, Liyao Xiang, Jiahao Yu, Xinbing Wang, Bin Guo, Zhetao Li, Baochun Li
Matrix Gaussian Mechanisms for Differentially-Private Learning. IEEE Trans. Mob. Comput. 22 (2) (2023)
Zhe Ji, Qiansiqi Hu, Liyao Xiang, Chenghu Zhou
Mixup Training for Generative Models to Defend Membership Inference Attacks. INFOCOM (2023)
Liyao Xiang, Weiting Li, Jungang Yang, Xinbing Wang, Baochun Li
Differentially-Private Deep Learning With Directional Noise. IEEE Trans. Mob. Comput. 22 (5) (2023)
Haohua Duan, Liyao Xiang, Xinbing Wang, Pengzhi Chu, Chenghu Zhou
A New Zero Knowledge Argument for General Circuits and Its Application. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Borui Yang, Wei Li, Liyao Xiang, Bo Li
Towards Code Watermarking with Dual-Channel Transformations. CoRR (2023)
Xi Yu, Liyao Xiang, Shiming Wang, Chengnian Long
Privacy-Preserving Split Learning via Pareto Optimal Search. ESORICS (4) (2023)
Fupei Chen, Liyao Xiang, Hei Victor Cheng, Kaiming Shen
Deep Learning Enabled Semantic-Secure Communication with Shuffling. GLOBECOM (2023)
Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen
Privacy-Preserving Split Learning via Patch Shuffling over Transformers. ICDM (2022)
Jungang Yang, Liyao Xiang, Ruidong Chen, Weiting Li, Baochun Li
Differential Privacy for Tensor-Valued Queries. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Sicong Liu, Yungang Wu, Bin Guo, Yuzhan Wang, Ke Ma, Liyao Xiang, Zhetao Li, Zhiwen Yu
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications. IEEE Internet Things J. 9 (21) (2022)
Haoyang Ren, Jiaqi Liu, Bin Guo, Chen Qiu, Liyao Xiang, Zhetao Li
MGRec: Multi-Graph Fusion for Recommendation. BigCom (2022)
Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu
Achieving adversarial robustness via sparsity. Mach. Learn. 111 (2) (2022)
Shuang Zhang, Liyao Xiang, Xi Yu, Pengzhi Chu, Yingqi Chen, Chen Cen, Li Wang
Privacy-Preserving Federated Learning on Partitioned Attributes. CoRR (2021)
Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. MASS (2021)
Haoxiang Zhang, Xiaoying Gan, Luoyi Fu, Liyao Xiang, Haiming Jin
Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior. GLOBECOM (2021)
Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang
Privacy Threats Analysis to Secure Federated Learning. CoRR (2021)
Dixi Yao, Lingdong Wang, Jiayu Xu, Liyao Xiang, Shuo Shao, Yingqi Chen, Yanjun Tong
Federated Model Search via Reinforcement Learning. ICDCS (2021)
Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. CoRR (2021)
Dixi Yao, Liyao Xiang, Zifan Wang, Jiayu Xu, Chao Li, Xinbing Wang
Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (4) (2021)
Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang
Improved Matrix Gaussian Mechanism for Differential Privacy. CoRR (2021)
Qingyong Deng, Shaobo Huang, Zhetao Li, Bin Guo, Liyao Xiang, Rong Ran
A secure data collection strategy using mobile vehicles joint UAVs in smart city. Comput. Networks 199 (2021)
Hui Xu, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang
Speedup Robust Graph Structure Learning with Low-Rank Information. CIKM (2021)
Weiting Li, Liyao Xiang, Zhou Zhou, Feng Peng
Privacy Budgeting for Growing Machine Learning Datasets. INFOCOM (2021)
Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang
Deep Quaternion Features for Privacy Protection. CoRR (2020)
Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang
Rotation-Equivariant Neural Networks for Privacy Protection. CoRR (2020)
Liyao Xiang, Lingdong Wang, Shufan Wang, Baochun Li
Achieving Consensus in Privacy-Preserving Decentralized Learning. ICDCS (2020)
Shufan Wang, Ningyi Liao, Liyao Xiang, Nanyang Ye, Quanshi Zhang
Achieving Adversarial Robustness via Sparsity. CoRR (2020)
Hui Xu, Liyao Xiang, Youmin Le, Xiaoying Gan, Yuting Jia, Luoyi Fu, Xinbing Wang
High-Order Relation Construction and Mining for Graph Matching. CoRR (2020)
Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang
Interpretable Complex-Valued Neural Networks for Privacy Protection. ICLR (2020)
Lingdong Wang, Liyao Xiang, Jiayu Xu, Jiaju Chen, Xing Zhao, Dixi Yao, Xinbing Wang, Baochun Li
Context-Aware Deep Model Compression for Edge Cloud Computing. ICDCS (2020)
Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang
A Distributional Robustness Certificate by Randomized Smoothing. CoRR (2020)
Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Zeyu Liu, Quanshi Zhang, Bo Li
Preventing Information Leakage with Neural Architecture Search. CoRR (2019)
Liyao Xiang, Jingbo Yang, Baochun Li
Differentially-Private Deep Learning from an optimization Perspective. INFOCOM (2019)
Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang
Complex-Valued Neural Networks for Privacy Protection. CoRR (2019)
Liyao Xiang, Baochun Li, Bo Li
Privacy-preserving inference in crowdsourcing systems. CNS (2017)
Liyao Xiang, Tzu-Yin Tai, Baochun Li, Bo Li
$Tack: $ Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing. IEEE J. Sel. Areas Commun. 35 (4) (2017)
Liyao Xiang, Baochun Li, Bo Li
Coalition Formation Towards Energy-Efficient Collaborative Mobile Computing. ICCCN (2015)
Liyao Xiang, Shiwen Ye, Yuan Feng, Baochun Li, Bo Li
Ready, Set, Go: Coalesced offloading from mobile devices to the cloud. INFOCOM (2014)
Liyao Xiang, Gaofei Sun, Jing Liu, Xinbing Wang, Li Li
A discriminatory pricing double auction for spectrum allocation. WCNC (2012)