Cuiying Huo

21 papers A* 10Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks.
AAAI
Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin
2026 A* conf
IVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization.
WWW
Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang, Yawen Li
2025 J jnl
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang
2025 A* conf
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.
AAAI
Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025 J jnl
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
ACM Trans. Intell. Syst. Technol.
Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Witold Pedrycz, Lingfei Wu, Weixiong Zhang
2025 A* conf
LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.
WWW
Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025 J jnl
PEPT: Expert Finding Meets Personalized Pre-Training.
ACM Trans. Inf. Syst.
Qiyao Peng, Hongyan Xu, Yinghui Wang, Hongtao Liu, Cuiying Huo, Wenjun Wang
2024 A* conf
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.
AAAI
Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng
2024 J jnl
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang
2024 J jnl
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning.
World Wide Web (WWW)
Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen
2024 A* conf
Graph Collaborative Expert Finding with Contrastive Learning.
IJCAI
Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao
2024 J jnl
TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.
IEEE Trans. Neural Networks Learn. Syst.
Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu
2023 A* conf
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
WWW
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 J jnl
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
CoRR
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 — conf
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.
KSEM (4)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
2023 A* conf
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
AAAI
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
2022 J jnl
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
CoRR
Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
2022 J jnl
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
CoRR
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
2022 J jnl
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature.
CoRR
Cuiying Huo, Di Jin, Chundong Liang, Dongxiao He, Tie Qiu, Lingfei Wu
2021 A* conf
Heterogeneous Graph Neural Network via Attribute Completion.
WWW
Di Jin, Cuiying Huo, Chundong Liang, Liang Yang
2021 A* conf
Universal Graph Convolutional Networks.
NeurIPS
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han