Liyao Xiang - RankMe

81 papers A* 16A 4B 6Misc 1Journal 50Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepFP: Deep-Unfolded Fractional Programming for MIMO Beamforming. CoRR Jianhang Zhu, Tsung-Hui Chang, Liyao Xiang, Kaiming Shen
2026	J	`jnl`	DeepFP: Deep-Unfolded Fractional Programming for MIMO Beamforming. IEEE Trans. Commun. Jianhang Zhu, Tsung-Hui Chang, Liyao Xiang, Kaiming Shen
2026	J	`jnl`	Faster Than Ever: A New Lightweight Private Set Intersection and Its Variants. IACR Cryptol. ePrint Arch. Guowei Ling, Peng Tang, Jinyong Shan, Liyao Xiang, Weidong Qiu
2026	A*	`conf`	FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions. AAAI Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu
2026	A*	`conf`	PrivSniffer: Graph-based Contextual Privacy Leakage Detection for User-Generated Texts. WWW Hangyu Ye, Liyao Xiang, Naixuan Huang, Dongyue Yu, Lijun Zhang, Gang Wang
2025	J	`jnl`	CodeMark: Contextual and Natural Watermarking for Tracing Code Snippet Provenance. IEEE Trans. Dependable Secur. Comput. Wei Li, Borui Yang, Yujie Sun, Suyu Chen, Yuting Chen, Liyao Xiang
2025	—	`conf`	DeepFP: Deep-Unfolded Fractional Programming for Massive MIMO Beamforming. SPAWC Jianhang Zhu, Tsung-Hui Chang, Liyao Xiang, Kaiming Shen
2025	J	`jnl`	FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions. CoRR Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu
2025	J	`jnl`	Graph Unlearning via Embedding Reconstruction - A Range-Null Space Decomposition Approach. CoRR Hang Yin, Zipeng Liu, Xiaoyong Peng, Liyao Xiang
2025	J	`jnl`	Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Hao Zhang, Yiting Chen, Qihan Ren, Jie Ren, Xu Cheng, Liyao Xiang
2025	J	`jnl`	MNEs' innovation spillover effects on emerging markets' suppliers and buyers along global supply chain. Int. J. Technol. Manag. Liyao Xiang, Yurong Xu, Jinglun Li, Rui Ding, Rongjian Yu
2025	J	`jnl`	Mitigating Unfairness in Differentially-Private Federated Learning. ACM Trans. Model. Perform. Evaluation Comput. Syst. Bingqian Du, Liyao Xiang, Chuan Wu
2025	J	`jnl`	PVMark: Enabling Public Verifiability for LLM Watermarking Schemes. CoRR Haohua Duan, Liyao Xiang, Xin Zhang
2025	J	`jnl`	Privacy-Preserving Authorized Set Matching via Dishonest Majority Multiparty Computation. IEEE Trans. Dependable Secur. Comput. Guowei Ling, Peng Tang, Fei Tang, Shifeng Sun, Jinyong Shan, Liyao Xiang, Weidong Qiu
2025	J	`jnl`	Shuffling for Semantic Secrecy. CoRR Fupei Chen, Liyao Xiang, Haoxiang Sun, Hei Victor Cheng, Kaiming Shen
2025	J	`jnl`	Shuffling for Semantic Secrecy. IEEE Trans. Inf. Forensics Secur. Fupei Chen, Liyao Xiang, Haoxiang Sun, Hei Victor Cheng, Kaiming Shen
2024	A*	`conf`	A Principled Approach to Natural Language Watermarking. ACM Multimedia Zhe Ji, Qiansiqi Hu, Yicheng Zheng, Liyao Xiang, Xinbing Wang
2024	J	`jnl`	A Verifiable and Privacy-Preserving Federated Learning Training Framework. IEEE Trans. Dependable Secur. Comput. Haohua Duan, Zedong Peng, Liyao Xiang, Yuncong Hu, Bo Li
2024	J	`jnl`	AceMap: Knowledge Discovery through Academic Graph. CoRR 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
2024	Misc	`conf`	CROSSWORD: A Semantic Approach To Text Compression Via Masking. ICASSP Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui
2024	J	`jnl`	Certified Distributional Robustness on Smoothed Classifiers. IEEE Trans. Dependable Secur. Comput. Jungang Yang, Liyao Xiang, Pengzhi Chu, Xinbing Wang, Chenghu Zhou
2024	A*	`conf`	Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models. NDSS Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li
2024	J	`jnl`	Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models. CoRR Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li
2024	A*	`conf`	Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power. CCS Shiming Wang, Liyao Xiang, Bowei Cheng, Zhe Ji, Tianran Sun, Xinbing Wang
2024	J	`jnl`	Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power. CoRR Shiming Wang, Liyao Xiang, Bowei Cheng, Zhe Ji, Tianran Sun, Xinbing Wang
2024	J	`jnl`	Distributional Learning for Network Alignment with Global Constraints. ACM Trans. Knowl. Discov. Data Hui Xu, Liyao Xiang, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2024	J	`jnl`	Entity Alignment with Unlabeled Dangling Cases. CoRR Hang Yin, Dong Ding, Liyao Xiang, Yuheng He, Yihan Wu, Xinbing Wang, Chenghu Zhou
2024	A*	`conf`	Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. IJCAI Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu
2024	J	`jnl`	Hufu: A Modality-Agnositc Watermarking System for Pre-Trained Transformers via Permutation Equivariance. CoRR Hengyuan Xu, Liyao Xiang, Xingjun Ma, Borui Yang, Baochun Li
2024	A*	`conf`	Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases. NeurIPS Hang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu, Pengzhi Chu, Xinbing Wang, Chenghu Zhou
2024	J	`jnl`	Learning to Prevent Input Leakages in the Mobile Cloud Inference. IEEE Trans. Mob. Comput. Liyao Xiang, Shuang Zhang, Quanshi Zhang
2024	J	`jnl`	MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps. IEEE Trans. Dependable Secur. Comput. Wei Li, Borui Yang, Hangyu Ye, Liyao Xiang, Qingxiao Tao, Xinbing Wang, Chenghu Zhou
2024	J	`jnl`	Open-World Graph Active Learning for Node Classification. ACM Trans. Knowl. Discov. Data Hui Xu, Liyao Xiang, Junjie Ou, Yuting Weng, Xinbing Wang, Chenghu Zhou
2024	A*	`conf`	Permutation Equivariance of Transformers and its Applications. CVPR Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li
2024	A*	`conf`	SrcMarker: Dual-Channel Source Code Watermarking via Scalable Code Transformations. SP Borui Yang, Wei Li, Liyao Xiang, Bo Li
2024	J	`jnl`	Weights Shuffling for Improving DPSGD in Transformer-based Models. CoRR Jungang Yang, Zhe Ji, Liyao Xiang
2023	J	`jnl`	A New Zero Knowledge Argument for General Circuits and Its Application. IEEE Trans. Inf. Forensics Secur. Haohua Duan, Liyao Xiang, Xinbing Wang, Pengzhi Chu, Chenghu Zhou
2023	B	`conf`	Adaptive Beamforming for Non-Line-of-Sight IRS-Assisted Communications without CSI. PIMRC Wenyu Wang, Wenhai Lai, Shuyi Ren, Liyao Xiang, Xin Li, Shaobo Niu, Kaiming Shen
2023	J	`jnl`	Crossword: A Semantic Approach to Data Compression via Masking. CoRR Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui
2023	J	`jnl`	DPlanner: A Privacy Budgeting System for Utility. IEEE Trans. Inf. Forensics Secur. Weiting Li, Liyao Xiang, Bin Guo, Zhetao Li, Xinbing Wang
2023	B	`conf`	Deep Learning Enabled Semantic-Secure Communication with Shuffling. GLOBECOM Fupei Chen, Liyao Xiang, Hei Victor Cheng, Kaiming Shen
2023	J	`jnl`	Differentially-Private Deep Learning With Directional Noise. IEEE Trans. Mob. Comput. Liyao Xiang, Weiting Li, Jungang Yang, Xinbing Wang, Baochun Li
2023	A*	`conf`	Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related Biases. KDD Hui Xu, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou
2023	J	`jnl`	Matrix Gaussian Mechanisms for Differentially-Private Learning. IEEE Trans. Mob. Comput. Jungang Yang, Liyao Xiang, Jiahao Yu, Xinbing Wang, Bin Guo, Zhetao Li, Baochun Li
2023	A*	`conf`	Mixup Training for Generative Models to Defend Membership Inference Attacks. INFOCOM Zhe Ji, Qiansiqi Hu, Liyao Xiang, Chenghu Zhou
2023	—	`conf`	Privacy-Preserving Split Learning via Pareto Optimal Search. ESORICS (4) Xi Yu, Liyao Xiang, Shiming Wang, Chengnian Long
2023	J	`jnl`	Shuffled Transformer for Privacy-Preserving Split Learning. CoRR Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li
2023	J	`jnl`	Towards Code Watermarking with Dual-Channel Transformations. CoRR Borui Yang, Wei Li, Liyao Xiang, Bo Li
2023	J	`jnl`	Towards Tracing Code Provenance with Code Watermarking. CoRR Wei Li, Borui Yang, Yujie Sun, Suyu Chen, Ziyun Song, Liyao Xiang, Xinbing Wang, Chenghu Zhou
2022	J	`jnl`	Achieving adversarial robustness via sparsity. Mach. Learn. Ningyi Liao, Shufan Wang, Liyao Xiang, Nanyang Ye, Shuo Shao, Pengzhi Chu
2022	J	`jnl`	CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications. IEEE Internet Things J. Sicong Liu, Yungang Wu, Bin Guo, Yuzhan Wang, Ke Ma, Liyao Xiang, Zhetao Li, Zhiwen Yu
2022	J	`jnl`	Differential Privacy for Tensor-Valued Queries. IEEE Trans. Inf. Forensics Secur. Jungang Yang, Liyao Xiang, Ruidong Chen, Weiting Li, Baochun Li
2022	—	`conf`	MGRec: Multi-Graph Fusion for Recommendation. BigCom Haoyang Ren, Jiaqi Liu, Bin Guo, Chen Qiu, Liyao Xiang, Zhetao Li
2022	A*	`conf`	Privacy-Preserving Split Learning via Patch Shuffling over Transformers. ICDM Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen
2021	J	`jnl`	A secure data collection strategy using mobile vehicles joint UAVs in smart city. Comput. Networks Qingyong Deng, Shaobo Huang, Zhetao Li, Bin Guo, Liyao Xiang, Rong Ran
2021	J	`jnl`	Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Dixi Yao, Liyao Xiang, Zifan Wang, Jiayu Xu, Chao Li, Xinbing Wang
2021	B	`conf`	Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. MASS Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
2021	J	`jnl`	Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards. CoRR Mengyuan Li, Bin Guo, Jiangshan Zhang, Jiaqi Liu, Sicong Liu, Zhiwen Yu, Zhetao Li, Liyao Xiang
2021	A	`conf`	Federated Model Search via Reinforcement Learning. ICDCS Dixi Yao, Lingdong Wang, Jiayu Xu, Liyao Xiang, Shuo Shao, Yingqi Chen, Yanjun Tong
2021	J	`jnl`	Improved Matrix Gaussian Mechanism for Differential Privacy. CoRR Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang
2021	A*	`conf`	Privacy Budgeting for Growing Machine Learning Datasets. INFOCOM Weiting Li, Liyao Xiang, Zhou Zhou, Feng Peng
2021	J	`jnl`	Privacy Threats Analysis to Secure Federated Learning. CoRR Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang
2021	J	`jnl`	Privacy-Preserving Federated Learning on Partitioned Attributes. CoRR Shuang Zhang, Liyao Xiang, Xi Yu, Pengzhi Chu, Yingqi Chen, Chen Cen, Li Wang
2021	B	`conf`	Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior. GLOBECOM Haoxiang Zhang, Xiaoying Gan, Luoyi Fu, Liyao Xiang, Haiming Jin
2021	A	`conf`	Speedup Robust Graph Structure Learning with Low-Rank Information. CIKM Hui Xu, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang
2020	J	`jnl`	A Distributional Robustness Certificate by Randomized Smoothing. CoRR Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang
2020	J	`jnl`	Achieving Adversarial Robustness via Sparsity. CoRR Shufan Wang, Ningyi Liao, Liyao Xiang, Nanyang Ye, Quanshi Zhang
2020	A	`conf`	Achieving Consensus in Privacy-Preserving Decentralized Learning. ICDCS Liyao Xiang, Lingdong Wang, Shufan Wang, Baochun Li
2020	A	`conf`	Context-Aware Deep Model Compression for Edge Cloud Computing. ICDCS Lingdong Wang, Liyao Xiang, Jiayu Xu, Jiaju Chen, Xing Zhao, Dixi Yao, Xinbing Wang, Baochun Li
2020	J	`jnl`	Deep Quaternion Features for Privacy Protection. CoRR Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang
2020	J	`jnl`	High-Order Relation Construction and Mining for Graph Matching. CoRR Hui Xu, Liyao Xiang, Youmin Le, Xiaoying Gan, Yuting Jia, Luoyi Fu, Xinbing Wang
2020	A*	`conf`	Interpretable Complex-Valued Neural Networks for Privacy Protection. ICLR Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang
2020	J	`jnl`	Rotation-Equivariant Neural Networks for Privacy Protection. CoRR Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang
2019	J	`jnl`	Complex-Valued Neural Networks for Privacy Protection. CoRR Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang
2019	A*	`conf`	Differentially-Private Deep Learning from an optimization Perspective. INFOCOM Liyao Xiang, Jingbo Yang, Baochun Li
2019	J	`jnl`	Preventing Information Leakage with Neural Architecture Search. CoRR Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Zeyu Liu, Quanshi Zhang, Bo Li
2017	J	`jnl`	$Tack: $ Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing. IEEE J. Sel. Areas Commun. Liyao Xiang, Tzu-Yin Tai, Baochun Li, Bo Li
2017	—	`conf`	Privacy-preserving inference in crowdsourcing systems. CNS Liyao Xiang, Baochun Li, Bo Li
2015	B	`conf`	Coalition Formation Towards Energy-Efficient Collaborative Mobile Computing. ICCCN Liyao Xiang, Baochun Li, Bo Li
2014	A*	`conf`	Ready, Set, Go: Coalesced offloading from mobile devices to the cloud. INFOCOM Liyao Xiang, Shiwen Ye, Yuan Feng, Baochun Li, Bo Li
2012	B	`conf`	A discriminatory pricing double auction for spectrum allocation. WCNC Liyao Xiang, Gaofei Sun, Jing Liu, Xinbing Wang, Li Li