Relaxation-Free Min-\(k\)-Partition for PCI Assignment in 5G Networks
Published in IEEE Transactions on Signal Processing, 2025
Yeqing Qiu, Chengpiao Huang, Ye Xue, Zhipeng Jiang, Qingjiang Shi, Dong Zhang, Zhi-Quan Luo
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks
Published in Neural Networks, 2024
Zhengyang Shen*, Yeqing Qiu*, Jialun Liu, Lingshen He, Zhouchen Lin
Conference Papers
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-\(k\)-Cut Problems
Published in Forty-Second International Conference on Machine Learning, 2025
Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo
Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
Published in The Thirteenth International Conference on Learning Representations, 2025
Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin
Affine Equivariant Networks Based on Differential Invariants
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Zhouchen Lin
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Published in Knowledge Science, Engineering and Management, 2022
Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, Jing Xiao