I am Yongqing Liang, a Ph.D. student in Computer Science at Texas A&M University (TAMU), supervised by Prof. Xin Li. I'm also a research student in the Aggie Graphic Group. I obtained my master degree in Electrical Computer & Engineering at Louisiana State University (LSU), advised by Prof. Xin Li. I finished my undegraduate study in Computer Science at Fudan University, advised by Prof. Jin Cheng. I was a Research Intern in NVIDIA (Applied Deep Learning Research (ADLR), 2022 Summer) and a Machine Learning Software Engineering Intern in Google (Advanced Video Preprocessing Team, YouTube, 2021 Summer). My research interests are computer vision, computer graphics and machine learning.

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Selected Publications


V-FloodNet: A Video Segmentation System for Urban Flood Detection and Quantification

Yongqing Liang, Xin Li, Brian Tsai, Qin Chen, Navid Jafari

Environmental Modelling & Software, Elsevier, 2023

Paper   Code Project


Real-time Water Level Monitoring Using Live Cameras and Computer Vision Techniques

Navid H Jafari, Xin Li, Qin Chen, Can-Yu Le, Logan P Betzer, Yongqing Liang

Computers and Geosciences, Vol. 147, Article 104642, 2021

Paper   Code   Project


Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement

Yongqing Liang, Xin Li, Navid Jafari, Qin Chen

Advances in neural information processing systems (NeurIPS), 2020

Paper   Code   Project


WaterNet: An Adaptive Matching Pipeline for Segmenting Water With Volatile Appearance

Yongqing Liang, Navid Jafari, Xing Luo, Qin Chen, Yanpeng Cao, Xin Li

Computational Visual Media (CVM), 1-14, 2020

Paper   Code   Project


A Discriminative Multi-Channel Facial Shape (MCFS) Representation and Feature Extraction for 3D Human Faces

Xun Gong, Xin Li, Tianrui Li, Yongqing Liang

Computer Graphics Forum (CGF), 2020



Reassembling Shredded Document Stripes Using Word-path Metric and Greedy Composition Optimal Matching Solver

Yongqing Liang and Xin Li

IEEE Transactions on Multimedia (TMM), 2019

Paper   Code   Project


Salient Object Detection with Convex Hull Overlap

Yongqing Liang

IEEE International Conference on Big Data (Big Data), workshop, 2018

Paper   Code  




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