Xinyi Gao

According to our database, Xinyi Gao authored at least 37 papers between 2019 and 2025.

Collaborative distances:

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

2025

RobGC: Towards Robust Graph Condensation.

Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., August, 2025

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., June, 2025

Graph Condensation: A Survey.

Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., April, 2025

A Comprehensive Survey on Imbalanced Data Learning.

Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin, Wentao Zhang

CoRR, February, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He

CoRR, February, 2025

Graph Condensation: Foundations, Methods and Prospects.

Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Epidemiology-informed Network for Robust Rumor Detection.

Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin

Proceedings of the ACM on Web Conference 2025, 2025

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.

Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin

Proceedings of the ACM on Web Conference 2025, 2025

ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.

Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Training-Free Heterogeneous Graph Condensation via Data Selection.

Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.

Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Efficient Traffic Prediction Through Spatio-Temporal Distillation.

Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.

Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.

Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., December, 2024

Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.

Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin

CoRR, 2024

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.

Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin

CoRR, 2024

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.

Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin

CoRR, 2024

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.

Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2024

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Graph Condensation: A Survey.

Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin

CoRR, 2024

Challenging Low Homophily in Social Recommendation.

Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Graph Condensation for Open-World Graph Learning.

Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

BIM: Improving Graph Neural Networks with Balanced Influence Maximization.

Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.

Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Condensation for Inductive Node Representation Learning.

Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

A novel two-level embedding pattern for grayscale-invariant reversible data hiding.

Xiaoran Zhang, Zhibin Pan, Quan Zhou, Erdun Gao, Xinyi Gao, Guojun Fan

Multim. Tools Appl., September, 2023

Local feature-based mutual complexity for pixel-value-ordering reversible data hiding.

Xinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin

Signal Process., 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.

Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Efficient Graph Neural Network Inference at Large Scale.

Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

CoRR, 2022

2021

Reversible data hiding method based on combining IPVO with bias-added Rhombus predictor by multi-predictor mechanism.

Guojun Fan, Zhibin Pan, Erdun Gao, Xinyi Gao, Xiaoran Zhang

Signal Process., 2021

A comparative study between PVO-based framework and multi-predictor mechanism in reversible data hiding.

Guojun Fan, Zhibin Pan, Quan Zhou, Xinyi Gao, Xiaoran Zhang

J. Vis. Commun. Image Represent., 2021

Multiple histogram based adaptive pairwise prediction-error modification for efficient reversible image watermarking.

Guojun Fan, Zhibin Pan, Quan Zhou, Xinyi Gao, Xiaoran Zhang

Inf. Sci., 2021

2020

Adaptive Complexity for Pixel-Value-Ordering Based Reversible Data Hiding.

Zhibin Pan, Xinyi Gao, Erdun Gao, Guojun Fan

IEEE Signal Process. Lett., 2020

Reversible data hiding for high dynamic range images using two-dimensional prediction-error histogram of the second time prediction.

Xinyi Gao, Zhibin Pan, Erdun Gao, Guojun Fan

Signal Process., 2020

Effective reversible data hiding using dynamic neighboring pixels prediction based on prediction-error histogram.

Zhibin Pan, Xinyi Gao, Lingfei Wang, Erdun Gao

Multim. Tools Appl., 2020

2019

Reversible data hiding based on novel pairwise PVO and annular merging strategy.

Erdun Gao, Zhibin Pan, Xinyi Gao

Inf. Sci., 2019

Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding.

Erdun Gao, Zhibin Pan, Xinyi Gao

CoRR, 2019