Yaming Yang

According to our database, Yaming Yang authored at least 28 papers between 2019 and 2025.

Collaborative distances:

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

2025

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs.

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao

CoRR, July, 2025

H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance.

Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyi Zhang, Yishan Song, Jiwei Chen

CoRR, July, 2025

Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs.

Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu

CoRR, June, 2025

Discrepancy-Aware Graph Mask Auto-Encoder.

Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu

CoRR, June, 2025

Adaptive Task-Aware Refining Network for Few-Shot Fine-Grained Image Classification.

Liyun Yu, Ziyu Guan, Wei Zhao, Yaming Yang, Jiale Tan

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree.

Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Xinyan Huang, Xiaofei He

CoRR, February, 2025

Pseudo Contrastive Learning for graph-based semi-supervised learning.

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, Dacheng Tao

Neurocomputing, 2025

G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels.

Ziyu Guan, Beilei Ling, Weigang Lu, Meng Yan, Yaming Yang, Wei Zhao, Yibing Zhan, Dapeng Tao

Neurocomputing, 2025

A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment.

Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv

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

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract).

Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao

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

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification.

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao

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

2024

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.

Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao

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

Deep Learning-Based Detection for Marker Codes Over Insertion and Deletion Channels.

Guochen Ma, Xiaopeng Jiao, Jianjun Mu, Hui Han, Yaming Yang

IEEE Trans. Commun., October, 2024

Aligning Multiple Knowledge Graphs in a Single Pass.

Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang

CoRR, 2024

AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation.

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang

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

NodeMixup: Tackling Under-Reaching for Graph Neural Networks.

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Entropy Induced Pruning Framework for Convolutional Neural Networks.

Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distributed dominance graph-based neural multi-objective evolutionary strategy for sponsored search real-time bidding.

Yaming Yang, Hongchang Wu, Ziyu Guan, Jianxin Li, Wei Zhao, Cai Xu, Hao Li, Qingyu Cao, Yuanhai Lv

Knowl. Based Syst., November, 2023

Graph Substructure Assembling Network With Soft Sequence and Context Attention.

Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Bo Zong

IEEE Trans. Knowl. Data Eng., May, 2023

Interpretable and Efficient Heterogeneous Graph Convolutional Network.

Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang

IEEE Trans. Knowl. Data Eng., 2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning.

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao

CoRR, 2023

Progressive Deep Multi-View Comprehensive Representation Learning.

Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Entropy Induced Pruning Framework for Convolutional Neural Networks.

Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng

CoRR, 2022

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.

Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.

Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao

CoRR, 2021

2020

CoHomo: A cluster-attribute correlation aware graph clustering framework.

Yaming Yang, Hongmin Liu, Ziyu Guan, Xiaofei He, Gaoliang Liu

Neurocomputing, 2020

2019

Parameter-free Community Detection through Distance Dynamic Synchronization.

Jianbin Huang, Qingquan Bian, Heli Sun, Yaming Yang, Yu Zhou

Comput. J., 2019

Adversarial Graph Attention Network for Multi-modal Cross-Modal Retrieval.

Hongchang Wu, Ziyu Guan, Tao Zhi, Wei Zhao, Cai Xu, Hong Han, Yaming Yang

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019