Hello World

Bio

Nice to meet you! I’m Yeqing Qiu, a second year PhD student supervised by Prof. Zhi-Quan Luo in the Chinese University of Hong Kong, Shenzhen.

Before joining CUHKSZ, I obtained my Bachelor’s degree at Beijing Jiaotong University. During my undergraduate studies, I had the opportunity to work as an intern researcher at Pingan Tech, focusing on data privacy and Federated Learning. Subsequently, I pursued another internship at ZeroLab, under the guidance of Professor Zhouchen Lin at Peking University, where I delved into equivariant neural networks. Additionally, I had the privilege of working as an intern researcher at Baidu AR team, where I explored the exciting world of computer vision.

I am currently a collaborative PhD student, jointly affiliated with the Shenzhen Research Institute of Big Data and CUHKSZ. My academic interests primarily revolve around Optimization and Deep Learning. This blog is mainly about my learning note and some gossip essay lol.

Curriculum Vitae:

Period	Position	Institution	Research Focus
2023.09-now	PhD Student (Supervisor: Zhi-quan Luo)	School of Science and Engineering, the Chinese University of Hong Kong, Shenzhen	Optimization, 5G, Deep Learning
2023.09-now	Collaborative PhD Student (Supervisor: Qingjiang Shi, Ye Xue)	Shenzhen Research Institute of Big Data	Optimization, 5G, Deep Learning
2022.01-now	Co-supervision Student (Supervisor: Zhouchen Lin)	ZEROLab, Peking University	Deep Learning
2022.08-2023.06	Intern	Baidu Inc.	Computer Vision and Image Processing
2021.08-2022.06	Intern	Pingan Tech.	Data Privacy and Federated Learning
2019.09-2023.06	Undergraduate Candidate	School of Mathemetics and Statistics, Beijing Jiaotong Univeristy	Computational Mathematics

Papers:

3.Zhengyang Shen*, Yeqing Qiu*, Jialun Liu, Lingshen He, and Zhouchen Lin, Efficient Learning of Scale-Adaptive Nearly Affine Invariant Networks, Neural Networks, 2024.
2.Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, and Zhouchen Lin, Affine Equivariant Networks Based on Differential Invariants, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.
1.Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, and Jing Xiao, A privacy-preserving subgraph-level federated graph neural network via differential privacy, International Conference on Knowledge Science, Engineering and Management, 2022.

Chinese Patents(Those marked by ‘*’ have been granted):

1.(202310288277.8)分布式训练方法、装置、终端设备及计算机可读介质
2.(202410162884.4)基于微分不变量的仿射等变网络模型的图像分类方法

Award:

1.中国运筹学会数学规划分会第10届研究生论坛，优秀报告奖

Friends:

lornd’s blog
DOFY’s blog
kalorona’s blog
zxilly’s blog
xg_zepto’s blog
reta’s blog
LiYou’s blog
QunfengJiang’s blog
LSY!’s blog
CrazyDave’s blog
Glis’s blog