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Ziyuan Ye
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2020 – today
- 2024
- [c6]Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Hypergraph Transformer for Semi-Supervised Classification. ICASSP 2024: 7515-7519 - 2023
- [c5]Jiaqi Wu, Ziyuan Ye, Lin He, Tong Wang, Lin Gao:
A Multi-Layer Deep Reinforcement Learning Approach for Joint Task Offloading and Scheduling in Vehicular Edge Networks. ICC 2023: 3872-3877 - [c4]Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu:
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations. NeurIPS 2023 - [i4]Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang:
Hypergraph Transformer for Semi-Supervised Classification. CoRR abs/2312.11385 (2023) - 2022
- [j1]Wenxing Lan
, Ziyuan Ye
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. IEEE Trans. Evol. Comput. 26(4): 704-718 (2022) - [c3]Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu:
Immunofluorescence Capillary Imaging Segmentation: Cases Study. ACM Multimedia 2022: 4830-4838 - [i3]Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu:
Immunofluorescence Capillary Imaging Segmentation: Cases Study. CoRR abs/2207.06861 (2022) - [i2]Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu:
Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network. CoRR abs/2210.05713 (2022) - 2021
- [c2]Ziyuan Ye:
A Data Slicing Method to Improve Machine Learning Model Accuracy in Bankruptcy Prediction. ICDLT 2021: 32-39 - [i1]Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu:
Deep Auto-encoder with Neural Response. CoRR abs/2111.15309 (2021)
2010 – 2019
- 2019
- [c1]Xiaofeng Wang, Qilin Zhang, Zhenni Shi, Ziyuan Ye:
Design and Implementation of Medical Dispute Governance Based on Blockchain. SocialSec 2019: 203-222
Coauthor Index
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