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ORCIDWei Zhao 0019
- > Home > Persons > Wei Zhao 0019
Publications
- 2025
[j35]Weigang Lu
, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for graph-based semi-supervised learning. Neurocomputing 624: 129375 (2025)- [j33]Liyun Yu, Ziyu Guan, Wei Zhao, Yaming Yang, Jiale Tan:
Adaptive Task-Aware Refining Network for Few-Shot Fine-Grained Image Classification. IEEE Trans. Circuits Syst. Video Technol. 35(3): 2301-2314 (2025) - [c35]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao:
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. AAAI 2025: 19143-19151 - [i30]Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Xinyan Huang, Xiaofei He:
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree. CoRR abs/2502.10044 (2025) - [i28]Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu:
Discrepancy-Aware Graph Mask Auto-Encoder. CoRR abs/2506.19343 (2025) - [i27]Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu:
Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. CoRR abs/2506.20980 (2025) - [i26]Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyi Zhang, Yishan Song, Jiwei Chen:
H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance. CoRR abs/2507.13370 (2025) - [i25]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao:
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. CoRR abs/2507.19031 (2025) - 2024
- [j22]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) - [c32]Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu:
Entropy Induced Pruning Framework for Convolutional Neural Networks. AAAI 2024: 3918-3926 - [c31]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin:
NodeMixup: Tackling Under-Reaching for Graph Neural Networks. AAAI 2024: 14175-14183 - [c25]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang:
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. KDD 2024: 2060-2071 - [i21]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang:
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. CoRR abs/2405.14307 (2024) - [i18]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) - [i16]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao:
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. CoRR abs/2412.08144 (2024) - 2023
- [j21]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) - [j17]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) - [j16]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) - [c22]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 - [i15]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) - [i12]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin:
NodeMixup: Tackling Under-Reaching for Graph Neural Networks. CoRR abs/2312.13032 (2023) - 2022
- [c16]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 - [i9]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) - [i8]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
- [i5]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
- [i4]Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang:
Interpretable and Efficient Heterogeneous Graph Convolutional Network. CoRR abs/2005.13183 (2020) - 2019
- [c11]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
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