Liyao Xiang

According to our database, Liyao Xiang authored at least 51 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distributional Learning for Network Alignment with Global Constraints.

Hui Xu, Liyao Xiang, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, May, 2024

Open-World Graph Active Learning for Node Classification.

Hui Xu, Liyao Xiang, Junjie Ou, Yuting Weng, Xinbing Wang, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, February, 2024

Certified Distributional Robustness on Smoothed Classifiers.

Jungang Yang, Liyao Xiang, Pengzhi Chu, Xinbing Wang, Chenghu Zhou

IEEE Trans. Dependable Secur. Comput., 2024

Entity Alignment with Unlabeled Dangling Cases.

Hang Yin, Dong Ding, Liyao Xiang, Yuheng He, Yihan Wu, Xinbing Wang, Chenghu Zhou

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

AceMap: Knowledge Discovery through Academic Graph.

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

CoRR, 2024

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models.

Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li

CoRR, 2024

2023

Differentially-Private Deep Learning With Directional Noise.

Liyao Xiang, Weiting Li, Jungang Yang, Xinbing Wang, Baochun Li

IEEE Trans. Mob. Comput., May, 2023

Matrix Gaussian Mechanisms for Differentially-Private Learning.

Jungang Yang, Liyao Xiang, Jiahao Yu, Xinbing Wang, Bin Guo, Zhetao Li, Baochun Li

IEEE Trans. Mob. Comput., 2023

DPlanner: A Privacy Budgeting System for Utility.

Weiting Li, Liyao Xiang, Bin Guo, Zhetao Li, Xinbing Wang

IEEE Trans. Inf. Forensics Secur., 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

Towards Code Watermarking with Dual-Channel Transformations.

Borui Yang, Wei Li, Liyao Xiang, Bo Li

CoRR, 2023

Towards Tracing Code Provenance with Code Watermarking.

Wei Li, Borui Yang, Yujie Sun, Suyu Chen, Ziyun Song, Liyao Xiang, Xinbing Wang, Chenghu Zhou

CoRR, 2023

Shuffled Transformer for Privacy-Preserving Split Learning.

Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li

CoRR, 2023

Crossword: A Semantic Approach to Data Compression via Masking.

Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui

CoRR, 2023

Adaptive Beamforming for Non-Line-of-Sight IRS-Assisted Communications without CSI.

Wenyu Wang, Wenhai Lai, Shuyi Ren, Liyao Xiang, Xin Li, Shaobo Niu, Kaiming Shen

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases.

Hui Xu, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mixup Training for Generative Models to Defend Membership Inference Attacks.

Zhe Ji, Qiansiqi Hu, Liyao Xiang, Chenghu Zhou

Proceedings of the IEEE INFOCOM 2023, 2023

Deep Learning Enabled Semantic-Secure Communication with Shuffling.

Fupei Chen, Liyao Xiang, Hei Victor Cheng, Kaiming Shen

Proceedings of the IEEE Global Communications Conference, 2023

Privacy-Preserving Split Learning via Pareto Optimal Search.

Xi Yu, Liyao Xiang, Shiming Wang, Chengnian Long

Proceedings of the Computer Security - ESORICS 2023, 2023

2022

Differential Privacy for Tensor-Valued Queries.

Jungang Yang, Liyao Xiang, Ruidong Chen, Weiting Li, Baochun Li

IEEE Trans. Inf. Forensics Secur., 2022

Achieving adversarial robustness via sparsity.

Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu

Mach. Learn., 2022

CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications.

Sicong Liu, Yungang Wu, Bin Guo, Yuzhan Wang, Ke Ma, Liyao Xiang, Zhetao Li, Zhiwen Yu

IEEE Internet Things J., 2022

Privacy-Preserving Split Learning via Patch Shuffling over Transformers.

Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

MGRec: Multi-Graph Fusion for Recommendation.

Haoyang Ren, Jiaqi Liu, Bin Guo, Chen Qiu, Liyao Xiang, Zhetao Li

Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

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

Privacy Threats Analysis to Secure Federated Learning.

Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang

CoRR, 2021

Improved Matrix Gaussian Mechanism for Differential Privacy.

Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang

CoRR, 2021

Privacy-Preserving Federated Learning on Partitioned Attributes.

Shuang Zhang, Liyao Xiang, Xi Yu, Pengzhi Chu, Yingqi Chen, Chen Cen, Li Wang

CoRR, 2021

A secure data collection strategy using mobile vehicles joint UAVs in smart city.

Qingyong Deng, Shaobo Huang, Zhetao Li, Bin Guo, Liyao Xiang, Rong Ran

Comput. Networks, 2021

Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards.

Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Privacy Budgeting for Growing Machine Learning Datasets.

Weiting Li, Liyao Xiang, Zhou Zhou, Feng Peng

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Federated Model Search via Reinforcement Learning.

Dixi Yao, Lingdong Wang, Jiayu Xu, Liyao Xiang, Shuo Shao, Yingqi Chen, Yanjun Tong

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior.

Haoxiang Zhang, Xiaoying Gan, Luoyi Fu, Liyao Xiang, Haiming Jin

Proceedings of the IEEE Global Communications Conference, 2021

Speedup Robust Graph Structure Learning with Low-Rank Information.

Hui Xu, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Distributional Robustness Certificate by Randomized Smoothing.

Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

CoRR, 2020

High-Order Relation Construction and Mining for Graph Matching.

Hui Xu, Liyao Xiang, Youmin Le, Xiaoying Gan, Yuting Jia, Luoyi Fu, Xinbing Wang

CoRR, 2020

Achieving Adversarial Robustness via Sparsity.

Shufan Wang, Ningyi Liao, Liyao Xiang, Nanyang Ye, Quanshi Zhang

CoRR, 2020

Rotation-Equivariant Neural Networks for Privacy Protection.

Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang

CoRR, 2020

Deep Quaternion Features for Privacy Protection.

Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang

CoRR, 2020

Interpretable Complex-Valued Neural Networks for Privacy Protection.

Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Achieving Consensus in Privacy-Preserving Decentralized Learning.

Liyao Xiang, Lingdong Wang, Shufan Wang, Baochun Li

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

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

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Preventing Information Leakage with Neural Architecture Search.

Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Zeyu Liu, Quanshi Zhang, Bo Li

CoRR, 2019

Complex-Valued Neural Networks for Privacy Protection.

Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang

CoRR, 2019

Differentially-Private Deep Learning from an optimization Perspective.

Liyao Xiang, Jingbo Yang, Baochun Li

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2017

$Tack: $ Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing.

Liyao Xiang, Tzu-Yin Tai, Baochun Li, Bo Li

IEEE J. Sel. Areas Commun., 2017

Privacy-preserving inference in crowdsourcing systems.

Liyao Xiang, Baochun Li, Bo Li

Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017

2015

Coalition Formation Towards Energy-Efficient Collaborative Mobile Computing.

Liyao Xiang, Baochun Li, Bo Li

Proceedings of the 24th International Conference on Computer Communication and Networks, 2015

2014

Ready, Set, Go: Coalesced offloading from mobile devices to the cloud.

Liyao Xiang, Shiwen Ye, Yuan Feng, Baochun Li, Bo Li

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

2012

A discriminatory pricing double auction for spectrum allocation.

Liyao Xiang, Gaofei Sun, Jing Liu, Xinbing Wang, Li Li

Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012