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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.
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About me
Posts
Information Theory - Chapter 1: Entropy
Published:
This chapter introduce the definition of entropy, joint entropy, conditional entropy, relative entropy(divergence), conditional divergence, mutual information and conditional mutual information.
Information Theory - Chapter 2 Property of Entropy
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In this chapter, we will further discover the properties of Entropy.
Information Theory - Chapter 3 Important Inequality
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In this section, we will introduce some important inequalities (data processing inequality and fano’s inequality).
Information Theory - Chapter 4 Asympotic Equipartition Property(AEP)
Published:
Informal statement of AEP: Let $X_1,\cdots,X_n$ be i.i.d. Then almost all realizations $(x_1, \cdots,x_n)$ have probability close to $2^{-nH(X)}$. The set of all these realizations is called the typical set.
Information Theory - Chapter X Lempel-Ziv coding
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This chaper is to talk about LZ78 and its asympotic optimaling.
Information Theory - Chapter X+1 Shannon-Fano-Elias Codes and Arithmetic Codeing
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This chapter we will introduce Shnnon-Fano-Elias codes and arithmetic coding.
Information Theory - Chapter X+3 Slepian-Wolf Coding
Published:
Slepian-Wolf Coding is a fixed-length and almost lossless compression with some side information, which is to deal with the sequence of the source.
Information Theory - Chpter X+5 Achievability of BSC(p)
Published:
Informal discussion of Shannon’s channel coding theorem for Binary Symmetry Coding.
Information Theory - Chapter X+6 Information Capacity
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In this chapter, we will introduce the information capacity of the channel.
PyTorch Implementation of Convolutional Neural Network
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PyTorch Implementation of Convolutional Neural Network
PyTorch Implementation of Softmax Multi-Classifier
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PyTorch Implementation of Softmax Multi-Classifier
ABY - A Framework for efficient Mixed-Protocol Secure Two-Party Computation 阅读笔记 Part I
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ABY - A Framework for efficient Mixed-Protocol Secure Two-Party Computation 阅读笔记 Part I
ABY - A Framework for efficient Mixed-Protocol Secure Two-Party Computation 阅读笔记（Arithmetic部分）
Published:
今天看了秘密分享架构中的ABY架构，尤其看了Arithmetic sharing部分，对于该秘密分享机制下的加法与乘法的计算有了一定的了解，而且了解了如何通过Pailler同态加密方法产生c=axb的三元组。但是对于OT-Base产生三元组的方法不太了解，明天会对非对称加密体系，安全分享公钥的方法还有Diffie-Hellman算法进行学习以求更加熟悉OT-Base办法
大二上学期滴流水账
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虽然说学期开始的时候就预感到这是最累的一个学期，但是还是没有没有想到这个学期会有那么的累。压缩的教学周，消失的复习周，消失的国庆假期，大创院、校级中期答辩、ICPC、MIT项目的ddl全部堆积在期末使得本不充足的睡眠雪上加霜。（相形之下，五天早八似乎已经微不足道了哈哈哈。不论如何，最为困难的日子应该已经过去了（吧）希望2021年变得更好！
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
Relaxed Gradient Projection for PCI Assignment in 5G Network
Published in IEEE/CIC International Conference on Communications in China, 2025
Yeqing Qiu, Ye Xue, Zhipeng Jiang, Qingjiang Shi
Projective Equivariant Networks via Second-order Fundamental Differential Invariants
Published in The Thirty-ninth Annual Conference on Neural Information Processing Systems (spotlight), 2025
Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Lexiang Hu, Zhouchen Lin
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