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ORCIDYaming Yang 0002
Person information
- affiliation: Xidian University, Xi'an, China
Other persons with the same name
- Yaming Yang (aka: Ya-Ming Yang) — disambiguation page
- Yaming Yang 0001
![[0009-0005-8744-7693]](https://dblp.org/img/orcid-mark.12x12.png "0009-0005-8744-7693")
— Microsoft Research Asia - Yaming Yang 0003 (aka: Ya-Ming Yang 0003) — Chengdu University of Technology, Chengdu, China
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Journal Articles
- 2024
[j7]Guochen Ma, Xiaopeng Jiao, Jianjun Mu, Hui Han, Yaming Yang:
Deep Learning-Based Detection for Marker Codes Over Insertion and Deletion Channels. IEEE Trans. Commun. 72(10): 5945-5959 (2024)- [j6]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 36(11): 7030-7043 (2024) - 2023
- [j5]Yaming Yang, Hongchang Wu, Ziyu Guan, Jianxin Li, Wei Zhao, Cai Xu, Hao Li, Qingyu Cao, Yuanhai Lv:
Distributed dominance graph-based neural multi-objective evolutionary strategy for sponsored search real-time bidding. Knowl. Based Syst. 279: 110921 (2023) - [j4]Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang:
Interpretable and Efficient Heterogeneous Graph Convolutional Network. IEEE Trans. Knowl. Data Eng. 35(2): 1637-1650 (2023) - [j3]Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Bo Zong:
Graph Substructure Assembling Network With Soft Sequence and Context Attention. IEEE Trans. Knowl. Data Eng. 35(5): 4894-4907 (2023) - 2020
- [j2]Yaming Yang, Hongmin Liu, Ziyu Guan, Xiaofei He, Gaoliang Liu:
CoHomo: A cluster-attribute correlation aware graph clustering framework. Neurocomputing 412: 327-338 (2020) - 2019
- [j1]Jianbin Huang, Qingquan Bian, Heli Sun, Yaming Yang, Yu Zhou:
Parameter-free Community Detection through Distance Dynamic Synchronization. Comput. J. 62(11): 1625-1638 (2019)
Conference and Workshop Papers
- 2024
- [c6]Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu:
Entropy Induced Pruning Framework for Convolutional Neural Networks. AAAI 2024: 3918-3926 - [c5]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin:
NodeMixup: Tackling Under-Reaching for Graph Neural Networks. AAAI 2024: 14175-14183 - [c4]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang:
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. KDD 2024: 2060-2071 - 2023
- [c3]Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song:
Progressive Deep Multi-View Comprehensive Representation Learning. AAAI 2023: 10557-10565 - 2022
- [c2]Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang:
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering. NeurIPS 2022 - 2019
- [c1]Hongchang Wu, Ziyu Guan, Tao Zhi, Wei Zhao, Cai Xu, Hong Han, Yaming Yang:
Adversarial Graph Attention Network for Multi-modal Cross-Modal Retrieval. ICBK 2019: 265-272
Informal and Other Publications
- 2024
- [i9]Guochen Ma, Xiaopeng Jiao, Jianjun Mu, Hui Han, Yaming Yang:
Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels. CoRR abs/2401.01155 (2024) - [i8]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang:
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. CoRR abs/2405.14307 (2024) - [i7]Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang:
Aligning Multiple Knowledge Graphs in a Single Pass. CoRR abs/2408.00662 (2024) - 2023
- [i6]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. CoRR abs/2302.09532 (2023) - [i5]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin:
NodeMixup: Tackling Under-Reaching for Graph Neural Networks. CoRR abs/2312.13032 (2023) - 2022
- [i4]Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng:
Entropy Induced Pruning Framework for Convolutional Neural Networks. CoRR abs/2208.06660 (2022) - [i3]Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang:
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering. CoRR abs/2210.10462 (2022) - 2021
- [i2]Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR abs/2112.11628 (2021) - 2020
- [i1]Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang:
Interpretable and Efficient Heterogeneous Graph Convolutional Network. CoRR abs/2005.13183 (2020)
Coauthor Index
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