Hello World

Bio

I’m Yeqing Qiu (邱烨卿), 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:

4.Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin, Affine Steerable Equivariant Layer for Canonicalization of Neural Networks, ICLR, 2025.
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, CVPR, 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, KSEM, 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:

1.2019-2020学年本科生国家奖学金，2020
2.全国大学生数学竞赛数学 A 组三等奖，2020
3.全国（部分地区）大学生物理竞赛非物理组三等奖，2020
4.2020-2021学年本科生国家奖学金，2021
5.北京交通大学知行奖学金单项奖勤学奖提名人，2021
3.第45届国际大学生程序设计竞赛南京站铜牌，2021
7.2021-2022学年本科生国家奖学金，2022
8.北京交通大学知行奖学金，2022
9.北京交通大学三好学生标兵，2022
10.美国大学生数学建模竞赛杰出论文提名奖（Finalist Medal），2022
11.蓝桥杯程序设计竞赛全国总决赛二等奖，2022
12.北京市三好学生，2023
13.北京市优秀毕业生，2023
14.2023-2024学年深圳市大数据研究院联合培养博士奖学金金奖，2024
15.中国运筹学会数学规划分会第十届研究生论坛优秀报告，2024

Friends:

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