Scholar
I am Yongqing Liang, a Ph.D. candidate in Computer Science at Texas A&M University (TAMU), where I am advised by Prof. Xin Li and co-advised by Prof. Wenping Wang. I am also a member of Aggie Graphics Group. I earned my master's degree in Electrical and Computer Engineering from Louisiana State University (LSU), under the guidance of Prof. Xin Li. I completed my undegraduate study in Computer Science and Technology at Fudan University, advised by Prof. Jin Cheng. I have gained valuable industry experience as a Research Intern at NVIDIA (Applied Deep Learning Research, Summer 2022) and as a Machine Learning Software Engineering Intern at Google (Advanced Video Preprocessing Team, YouTube, Summer 2021).
My research focuses on Visual Data Understanding and Intelligence, intersecting the fields of computer vision, computer graphics, and machine learning.
I am actively seeking a full-time position in Postdoc, TTAP or Research Scientist starting in Fall 2025. Please feel free to reach out to me if you have any opportunities.
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Research Projects
Neural Representation and Reconstruction
Neural Parametric Surfaces for Shape Modeling
Lei Yang†, Yongqing Liang†, Xin Li, Congyi Zhang, Guying Lin, Alla Sheffer, Scott Schaefer, John Keyser and Wenping Wang
submitted to ACM TOG (under review)
(†: Equal contributions)
ArXiv
Video Object Segmentation
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
Yongqing Liang, Xin Li, Navid Jafari and Qin Chen
Advances in neural information processing systems (NeurIPS), 2020
The first paper segments appearance-volatile objects over long video sequences.
Paper Code Project Long Video Dataset
Digital Human Modeling
A Discriminative Multi-Channel Facial Shape Representation and Feature Extraction for 3D Human Faces
Xun Gong, Xin Li, Tianrui Li and Yongqing Liang
Computer Graphics Forum (CGF), 2020
PaperFeature Matching and Fragmented Object Reassembly
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
Jiaxin Lu†, Yongqing Liang†, Huijun Han†, Jiacheng Hua†, Junfeng Jiang, Xin Li and Qixing Huang
The 46th Annual Conference of the European Association for Computer Graphics, Eurographics (EG) 2025, STARs.
(†: Equal contributions)
ArXiv
CLAP: Concave Linear APproximation for Quadratic Graph Matching
Yongqing Liang, Huijun Han and Xin Li
The 19th International Symposium on Visual Computing (ISVC 2024, Oral Paper)
Springer Best Paper Award, $500 sponsored by Springer
Paper (Coming soon) Long Paper Slides Code
Talks
- 2023/07, Visual Data Representation and Modeling at Department of Compute Science and Technology, Tsinghua University (Host: Prof. Kun Xu).
- 2023/07, Visual Data Representation and Modeling at Department of Compute Science and Technology, Fudan University (Host: Wei Zhang).
Service
Journals
- Reviewer for IEEE Transactions on Image Processing (TIP), Transactions on Pattern Analysis and Machine Intelligence (TPAMI), and Transactions on Circuits and Systems for Video Technology (TCSVT).
- Reviewer for Elsevier on Journal Data in Brief, Environmental Modelling and Software, and Measurement.
- Reviewer for Springer on Journal of Combinatorial Optimization (JOCO), Multimedia Systems.
- Reviewer for Taylor and Francis Online on Journal Big Earth Data.
- Reviewer for Institute of Advanced Engineering and Science on Indonesian Journal on Electrical Engineering and Computer Science (IJEECS).
Conferences
- Reviewer for IEEE/CVF Computer Vision and Pattern Recognition (CVPR 2025), European Conference on Computer Vision (ECCV 2024), Winter Conference on Applications of Computer Vision (WACV 2024, 2025).
- Reviewer for Pacific Graphics IPC (PG 2023).
- Reviewer for Computer Graphics International (CGI 2023).
- Reviewer for International Symposium on Solid and Physical Modeling (SPM-19).
Teaching Assistant
- CSCE 313 Introduction to Computer Systems, TAMU, 2024 Spring.
- CSCE 447 / VIST 476 Data Visualization, TAMU, 2023 Fall.
- CSCE 641 / VIST 672 Computer Graphics, TAMU, 2023 Spring.
- VIST 375 Foundations of Visualization, TAMU, 2022 Fall.