I’m a PhD candidate from VIE Lab and Insight Lab, School of Computer Science, Peking University, supervised by Assoc. Prof. Tingting Jiang. I received my M.S. degree at School of Mathematical Sciences, Peking University in 2021, supervised by Prof. Ming Jiang and Assoc. Prof. Tingting Jiang. I received my B.S. degree from School of Mathematics and Statistics, Xidian University in 2018, supervised by Prof. Shuisheng Zhou.

My research interest includes computer vision and deep learning, especially in the fields of biological and medical image segmentation, 3D reconstruction of connectomics.

🔥 News

2024.07: 🎉🎉 One paper is accepted by ICSI 2024, and won the Best Paper Award.
2024.06: 🎉🎉 One paper is accepted by MICCAI 2024.
2023.12: 🎉🎉 One paper is accepted by AAAI 2024.

📝 AI for Connectomics

MICCAI 2024

ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Ruohua Shi, Qiufan Pang, Lei Ma, Lingyu Duan, Tiejun Huang, Tingting Jiang

INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2024

[Paper] [Code]

AAAI 2024

Evidential Uncertainty-guided Mitochondria Segmentation for 3D EM Images

Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang

Association for the Advancement of Artificial Intelligence (AAAI), 2024

[Paper] [Code]

Bioinformatics 2023

PS-Net: Human perception-guided segmentation network for EM cell membrane

Ruohua Shi, Keyan Bi, Kai Du, Lei Ma, Fang Fang, Lingyu Duan, Tingting Jiang, Tiejun Huang

Bioinformatics, 2023

[Paper] [Code]

J. Chin. Electron Microsc. Soc. 2023

A survey of image processing tools for microscale connectomics

Wenyao Wang, Ruohua Shi, Mingyang Zhao, Yuchen Zhou, Jinsheng Shi, Lei Ma

Journal of Chinese Electron Microscopy Society, 2023, Issue 2, Page 252-274

[Paper] [Project]

Front. Comput. Neurosci. 2022

U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms

Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He, Kaiwen Sheng, Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang

Frontiers in Computational Neuroscience, 2022

[Paper] [Code]

📝 AI for Surgery

ICSI 2024

Amodal Segmentation for Laparoscopic Surgery Video Instruments

Ruohua Shi, Zhaochen Liu, Lingyu Duan, Tingting Jiang

Journal Sensing and Imaging – The International Conference on Sensing and Imaging (ICSI), 2024 (Best Paper)

[Paper] [Code]

📝 General AI

arXiv 2024

Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective

Shenghao Xie, Wenqiang Zu, Mingyang Zhao, Duo Su, Shilong Liu, Ruohua Shi, Guoqi Li, Shanghang Zhang, Lei Ma

arXiv, 2024

[Paper] [Code]

ICASSP 2023

OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation

Zhixuan Li, Ruohua Shi,, Tiejun Huang, Tingting Jiang

International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

[Paper]

🎖 Honors and Awards

2024.10 Leo KoGuan Scholarship, Peking University. 5%
2023.12 Annual Top Ten Student Excellence Award, NELVT, School of Computer Science, Peking University. 5%
2023.10 Merit Student, Peking University. 5%
2023.10 Jiu Kun Scholarship, Peking University. 5%
2021.06 Outstanding Graduates, Peking University. 2%
2020.10 Merit Student, Peking University. 5%
2020.10 2nd Prize of Robust Endoscopic Vision Challenge 2019 (ROBUST-MIS)
2019.10 Excellent Student Cadre, Peking University. 5%
2018.06 Top Ten Outstanding Graduates, Xidian University. 0.1%

📖 Educations

2021.09 - 2024.01 (now), Phd student, School of Computer Science, Peking University
2018.09 - 2021.06, M.S. degree from School of Mathematical Sciences, Peking University
2014.09 - 2018.06, B.S. degree from School of Mathematics and Statistics, Xidian University

💻 Internships

2020.02 - 2023.10, BAAI, China.