Personal Academic Homepage
Undergraduate Student · Deep Learning · Computer Vision · Intelligent Systems
Hi! I am Liu Hui, welcome to my website!
I am currently studying at Beijing Union University. My recent work focuses on how learning-based methods can support perception, prediction, and system design in real-world tasks.
I have worked on long-term sports prediction, intelligent robot tracking under complex lighting, flood-rescue UAV systems, and distributed underwater acoustic sensor research.
During my undergraduate study, I developed strong interests in foundational machine learning and deep learning models, including CNNs, GANs, diffusion models, and related computer vision applications.
I enjoy connecting algorithm design, experiments, and engineering implementation, and I hope to keep building research-oriented systems with practical value.
Submitted to Expert Systems with Applications (ESWA)
TM2 is proposed for long-term sports prediction. The method combines MODWT-based multiscale potential change-point detection, momentum encoding, LLSA decomposition, MLP-based trend prediction, and wavelet attention for seasonal dynamics.
Accepted by the 28th Annual Conference on New Network Technologies and Applications
This work presents an intelligent robot tracking control method under complex lighting environments. The system uses a modular architecture and combines CLAHE-based preprocessing with a learning-based vision pipeline for real-time path planning and obstacle avoidance.
Built a high-performance UAV flood-rescue system for GPS-denied scenarios, combining satellite-UAV cross-view localization and multimodal intelligent navigation for reliable rescue operations.
Designed an intelligent robot tracking system under complex lighting conditions, using CLAHE-enhanced preprocessing for robust path recognition and navigation.
Worked on edge-side distributed underwater acoustic sensor research, focusing on signal processing algorithms, experimental data analysis, and technical reporting.
2 representative papers in sports prediction and robot vision, with ongoing work in intelligent systems.
3 selected research and engineering experiences, including UAV rescue, robot tracking, and underwater sensing.
Multiple competition awards in Challenge Cup, Internet+, Siemens Cup, and programming contests.
Hands-on experience with C/C++, Python, Matlab, LaTeX, OpenCV, TensorFlow, and technical writing.