Xinyi Gao

57 papers A* 12A 2Misc 1Journal 39Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive survey on imbalanced data learning.
Frontiers Comput. Sci.
Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Chong Chen, Conghui He, Hongzhi Yin, Wentao Zhang
2026 J jnl
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Wenjie Li, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts.
CoRR
Haiyang Jiang, Tong Chen, Xinyi Gao, Guansong Pang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
Relational Database Distillation: From Structured Tables to Condensed Graph Data.
WWW
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2025 J jnl
A Comprehensive Survey on Imbalanced Data Learning.
CoRR
Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin, Wentao Zhang
2025 J jnl
Acceleration Algorithms in GNNs: A Survey.
IEEE Trans. Knowl. Data Eng.
Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui
2025 — conf
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
KDD (2)
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 A* conf
Efficient Traffic Prediction Through Spatio-Temporal Distillation.
AAAI
Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin
2025 J jnl
Efficient Traffic Prediction Through Spatio-Temporal Distillation.
CoRR
Qianru Zhang, Xinyi Gao, Haixin Wang, Siu-Ming Yiu, Hongzhi Yin
2025 A* conf
Epidemiology-informed Network for Robust Rumor Detection.
WWW
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2025 A* conf
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.
AAAI
Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu
2025 J jnl
Graph Condensation: A Survey.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 — conf
Graph Condensation: Foundations, Methods and Prospects.
WWW (Companion Volume)
Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang
2025 A conf
HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning.
CIKM
Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin
2025 A* conf
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.
SIGIR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2025 Misc conf
Norm Augmented Graph AutoEncoders for Link Prediction.
ICASSP
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He
2025 J jnl
Norm Augmented Graph AutoEncoders for Link Prediction.
CoRR
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Tao Zheng, Tieke He
2025 — conf
Progressive Stacking for Scalable Graph Condensation.
KDD (2)
Yibing Bai, Min Gao, Zongwei Wang, Xinyi Gao, Wentao Li
2025 J jnl
Relational Database Distillation: From Structured Tables to Condensed Graph Data.
CoRR
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2025 A* conf
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
WWW
Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025 J jnl
RobGC: Towards Robust Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2025 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2025 A* conf
Training-Free Heterogeneous Graph Condensation via Data Selection.
ICDE
Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2024 A* conf
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
ICDE
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2024 J jnl
Acceleration Algorithms in GNNs: A Survey.
CoRR
Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui
2024 A* conf
BIM: Improving Graph Neural Networks with Balanced Influence Maximization.
ICDE
Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
2024 A* conf
Challenging Low Homophily in Social Recommendation.
WWW
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Challenging Low Homophily in Social Recommendation.
CoRR
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
CoRR
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2024 J jnl
Epidemiology-informed Network for Robust Rumor Detection.
CoRR
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2024 J jnl
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis.
CoRR
Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu
2024 A* conf
Graph Condensation for Inductive Node Representation Learning.
ICDE
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 A* conf
Graph Condensation for Open-World Graph Learning.
KDD
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024 J jnl
Graph Condensation for Open-World Graph Learning.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024 J jnl
Graph Condensation: A Survey.
CoRR
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
2024 J jnl
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
RobGC: Towards Robust Graph Condensation.
CoRR
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2024 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Training-free Heterogeneous Graph Condensation via Data Selection.
CoRR
Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2023 J jnl
A novel two-level embedding pattern for grayscale-invariant reversible data hiding.
Multim. Tools Appl.
Xiaoran Zhang, Zhibin Pan, Quan Zhou, Erdun Gao, Xinyi Gao, Guojun Fan
2023 J jnl
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
CoRR
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2023 J jnl
Graph Condensation for Inductive Node Representation Learning.
CoRR
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2023 J jnl
Local feature-based mutual complexity for pixel-value-ordering reversible data hiding.
Signal Process.
Xinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin
2023 A conf
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
CIKM
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 J jnl
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
CoRR
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2022 J jnl
Efficient Graph Neural Network Inference at Large Scale.
CoRR
Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2021 J jnl
A comparative study between PVO-based framework and multi-predictor mechanism in reversible data hiding.
J. Vis. Commun. Image Represent.
Guojun Fan, Zhibin Pan, Quan Zhou, Xinyi Gao, Xiaoran Zhang
2021 J jnl
Multiple histogram based adaptive pairwise prediction-error modification for efficient reversible image watermarking.
Inf. Sci.
Guojun Fan, Zhibin Pan, Quan Zhou, Xinyi Gao, Xiaoran Zhang
2021 J jnl
Reversible data hiding method based on combining IPVO with bias-added Rhombus predictor by multi-predictor mechanism.
Signal Process.
Guojun Fan, Zhibin Pan, Erdun Gao, Xinyi Gao, Xiaoran Zhang
2020 J jnl
Adaptive Complexity for Pixel-Value-Ordering Based Reversible Data Hiding.
IEEE Signal Process. Lett.
Zhibin Pan, Xinyi Gao, Erdun Gao, Guojun Fan
2020 J jnl
Effective reversible data hiding using dynamic neighboring pixels prediction based on prediction-error histogram.
Multim. Tools Appl.
Zhibin Pan, Xinyi Gao, Lingfei Wang, Erdun Gao
2020 J jnl
Reversible data hiding for high dynamic range images using two-dimensional prediction-error histogram of the second time prediction.
Signal Process.
Xinyi Gao, Zhibin Pan, Erdun Gao, Guojun Fan
2019 J jnl
Adaptive Embedding Pattern for Grayscale-Invariance Reversible Data Hiding.
CoRR
Erdun Gao, Zhibin Pan, Xinyi Gao
2019 J jnl
Reversible data hiding based on novel pairwise PVO and annular merging strategy.
Inf. Sci.
Erdun Gao, Zhibin Pan, Xinyi Gao