Hi there 👋
I’m Shengli Zhou, a third-year undergraduate in Computer Science and Technology at Southern University of Science and Technology (SUSTech). My research interest mainly focuses on Multi-modal Perception and Embodied Intelligence.
📫 How to reach me: zhousl2022@mail.sustech.edu.cn
Education
Undergraduate: Sep. 2022 - Jul. 2026 (Expected)
Southern University of Science and Technology (SUSTech)
Department of Computer Science and Engineering (CSE)
Major: Computer Science and Technology (GPA: 3.97 / 4.00, rank: 1 / 162)
Member of Turing Class (designated for elite CS students at SUSTech)
Affiliation: Visual Intelligence and Perception (VIP) Lab
Supervisor: Prof. Feng Zheng | Advisor: Prof. Jin Zhang
Research & Visiting Experience
May 2024 - Jul. 2024
National University of Singapore (NUS)
School of Computing (SoC) Summer Workshop (SWS) 2024
Visual Computing | Lecturer: Prof. Terence Sim | Poster
Feb. 2025 - Aug. 2025 (Expected)
Wangxuan Institute of Computer Technology (WICT)
Supervisor: Prof. Yang Liu
Projects
When Active Learning and Data Augmentation meet at Object Detection
- Autonomous driving systems face challenges in real-time object detection due to high labeling costs and limited dataset diversity, prompting optimization of the RT-DETR-v2 model.
- Integrated active learning (AL) and data augmentation to enhance detection accuracy while minimizing labeling efforts, focusing on evaluating AL strategies (random, entropy-based, information gain) and augmentation levels (e.g., motion blur, noise).
- Achieved 75.4% mAP (6% improvement) on KITTI, validating entropy-based AL as optimal and medium-strength augmentation for balancing accuracy and real-world alignment, enabling efficient data utilization. Github
Masked-Unmasked Face Recognition
- Face recognition struggles with brightness, angle, expression, and occlusion variations.
- This project uses a non-deep learning approach to develop a classifier inspired by human recognition. It focuses on selecting high-quality local features to improve accuracy and reliability in face recognition. The classifier adaptively selects features based on current conditions, excluding less relevant local features to enhance recognition accuracy.
- A mask detector with 100% accuracy on the Georgia Tech Dataset and maintaining high accuracies on harder datasets.
Image Steganography
An algorithm for performing image steganography based on Discrete Cosine Transform, Hamming Code and Least Significant Bit Steganography with prime radix. Github
Click here to see the full list.
Selected Awards
- Gold Medal (Championship) for China Collegiate Programming Contest - Guangdong Provincial Collegiate Programming Contest
- Provincial First Prize for The 15th Chinese Mathematics Competitions
- Third Prize in Visual Computing Track, National University of Singapore School of Computing Summer Workshop
Selected Honors
- China National Scholarship for Undergraduates
- The “Qiushi” (Truth) Scholarship, SUSTech (6 out of 5000)
- The Nomination Prize of “Student of the Year”, SUSTech (6 out of 5000)
News Reports
[Feb. 2025] 大学生开始感到孤独？如何破解高校“陌生人现象”
- Mentioned by the official WeChat account of China Comment (半月谈) under Xinhua News Agency (57k views).
[Dec. 2024] 今夜，共赴音乐与青春之约
- The National Scholarship Awarding Ceremony on SUSTech 2025 New Year Reception Gala, reported by SUSTech Official WeChat Account (5000+ views).
[Nov. 2024] 祝贺！南科大2024年本科生先进集体及优秀个人
- Reported by SUSTech Official WeChat Account (12k views).
[Oct. 2024] 优秀！他们获得校训奖学金
- Reported by SUSTech Official WeChat Account (21k views).
[May 2023] 2023年（第二十届）广东省大学生程序设计竞赛成功举办
- Reported by the official WeChat account of Guangdong Computer Federation.