Biography
Jingxiang Qu is currently a PhD Student in AIRS Lab from Stony Brook University, advised by Prof. Yi Liu and Prof. Haibin Ling. His research interests include equivariant learning, multimodal/graph learning, and their application in solving engineering problems. He has published multiple papers on top journals and conferences, and is serving as the reviewer of ICLR, ITSC, ICONIP, IEEE SPL, etc.
Interests
- Equivariant Learning
- Multimodal Learning
- Graph Learning
- Computer Vision
Education
PhD in Computer Science, Now
Stony Brook University
MEng in Traffic Information Engineering and Control, 2024
Wuhan University of Technology
BEng in Internet of Things, 2021
Jiangsu University of Science and Technology
Skills
Technical
Python (PyTorch)
Data Science
Software Engineering
Hobbies
Badminton
Table Tennis
Puppy
Feeding a cat and a dog
Working Experience
Algorithm Development Engineer
Zhejiang Sunglory Marine Technology Co., Ltd
Responsibilities include:
- Navigation System Building
- Object Detection Model Training
- Multiple Sensors Fusion Algorithm Developing
Honors
Graduate Student National Scholarship
The Third Prize
The First Prize
The Third Prize
Recent Posts
Projects
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Fusing the multiple sensors to provide accurate and reliable guidance for vessel navigation.
Developing an intelligent monitoring system for navigation locks, which achieves vessel detection, vessel name recognition, vessel draft reading, and vessel identification.
Publications
Quickly discover relevant content by filtering publications.
(2023).
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.
IEEE T-ITS.
(2023).
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance.
IEEE T-ITS.
(2023).
TRACKING AND IDENTIFICATION METHOD, DEVICE, ELECTRONIC DEVICE, AND STORAGE MEDIUM FOR MULTIPLE VESSEL TARGETS.
US-Patent (Under Review).
(2023).
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing.
IEEE/CVF CVPRW.
(2023).
船舶吃水深度的自动检测方法和装置.
CN-Patent.
