Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About me
About me
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
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
Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks
Published in Neural Networks, 2024
Zhengyang Shen*, Yeqing Qiu*, Jialun Liu, Lingshen He, 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
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
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
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
talks
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems
Published:
Presenting the ICML paper.
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
Published:
Present the GLOBECOM 2024 paper in the MIMO Seminar
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.