I am Simon, Han YANG! Currently I am a Ph.D. Candidate majored in Computer and Information Engineering(CIE) at Medical Micro Robotics Lab(MMRL), The Chinese University of Hong Kong, Shenzhen(CUHKsz) supervised by Prof. Zhuoran Zhang and Prof. Jiangfan Yu.

Before that, I received my B.S. degree from Hong Kong Baptist University and worked as a research assistant at Key Laboratory for Artificial Intelligence and Multi-Modal Data Processing of Department of Education of Guangdong Province in Beijing Normal-Hong Kong Baptist University(BNBU) working with Prof. Amy Hui Zhang until 2023.

My research interests include robotics micromanipulation system, cell surgery, 3D Visual Perception.

You can email me at hayang12 [at] link [dot] cuhk [dot] edu [dot] cn.

News

[2025/01]
Starting research assistant at Institute of Robotics and Intelligent Systems(IRIS) in Dalian University of Technology working with Prof. Zhuoran Zhang!
[2025/01]
One paper is accepted to ICRA2025. See you in Atlanta at ICRA25!
[2024/09]
[2024/01]
Starting peer reviewer at T-ASE, R-AL and ICRA.
[2024/01]
One paper is accepted to ICRA2024. See you in Yokohama at ICRA24!
[2024/01]
Starting teaching assistant at Calculus II.
[2023/09]
Starting teaching assistant at Calculus I.

Publications

Weakly-Supervised Depth Completion during Robotic Micromanipulation from a Monocular Microscopic Image

International Conference on Robotics and Automation (ICRA) Jan 2024

This paper aims to address the challenge of acquiring dense depth information during robotic cell micromanipulation. A weakly-supervised depth completion network is proposed to take cell images and sparse depth data obtained by contact detection as input to generate a dense depth map.

Depth Estimation for Motile Cell under Monocular Microscopy Based on Fine-grained Classification

IEEE International Conference on Micro/Nano Sensors for AI, Healthcare and Robotics[IEEE-NSENS 24], Best Paper Feb 2024

This paper models depth estimation as a multi-class classification task and introduces a fine-grained feature extraction block to discern subtle distinctions between focal planes.

HQNet: An Efficient Convolutional Neural Network for Cervical Cancer Classification

IEEE on International Conference on Biomedical Imaging, Signal Processing (ICBSP) Sep 2022

In this paper, an efficient deformable convolutional neural network system(HQNet) was constructed to identify Cervical Cancer cells with different degrees of development. A framework for bringing children's drawings of human figures to life.

WTBNeRF: Wind Turbine Blade 3D Reconstruction by Neural Radiance Fields

International conference on the Efficiency and Performance Engineering Network (TEPEN) Aug 2022

The method we use, called WTBNeRF is a network dedicated to wind turbine scene rendering and 3D reconstruction of wind turbines.

Experience

Jan 2025 — Present
Dalian, China

Robotic Micromanipulation System, IVF, Cell Surgery, 3D Visual Perception

3D Reconstruction and Computer Vision.

Jun 2022 — Sep 2022
Remote

Research on Medical Image Processing for Cervical Cancer image classification.

Python Engineer Intern

Jun 2021 — Sep 2021
Beijing, China

Python Data Analysis, NLP, Cloud Database.

Posts

Helpful Resources

Helpful Resources

A growing resource list that might be useful to researchers and graduate students. I plan to update this frequently.

Media Coverage

Contact

The Chinese University of Hong Kong, Shenzhen, 2001 Longxiang Blvd., Longgang District, Shenzhen