Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Pose2Seg: Detection Free Human Instance Segmentation
Published in Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Detection Free Human Instance Segmentation.
Recommended citation: Song-Hai Zhang, Ruilong Li, Xin Dong, Paul Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, and Shi-Min Hu, "Pose2seg: Detection free human instance segmentation", In Proceedings of the 2019 IEEE/CVF Conference on Computer Vision And Pattern Recognition (CVPR), 2019.
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UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
Published in Proceedings of the 41st International Conference on Machine Learning (ICML), 2024
UGrid is a fast-and-rirorous multigrid solver for linear Partial Differential Equations (PDEs).
Recommended citation: Xi Han, Fei Hou and Hong Qin, "UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs", In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.
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2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
Published in Proceedings of 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
2DMamba is an efficient state space model for image representation, which extends 1D Mamba into 2D while maintaining its modeling capabilities, high parallelism, and memory access efficiency. Jingwei Zhang, Anh Tien Nguyen and Xi Han contributed equally to this paper.
Recommended citation: Jingwei Zhang*, Anh Tien Nguyen*, Xi Han*, Vincent Quoc-Huy Trinh, Hong Qin, Dimitris Samaras, and Mahdi S. Hosseini, "2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification", In Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
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GeoMaNO: Geometric Mamba Neural Operator for Partial Differential Equations
Published in arXiv preprint arXiv:2505.12020, 2025
GeoMaNO is a geometry-aware Mamba neural operator for solving partial differential equations (PDEs). Xi Han and Jingwei Zhang contributed equally to this paper.
Recommended citation: Xi Han*, Jingwei Zhang*, Dimitris Samaras, Fei Hou, Hong Qin, "GeoMaNO: Geometric Mamba Neural Operator for Partial Differential Equations", arXiv preprint arXiv:2505.12020, 2025.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
CSE 320 Fundamentals of Computer Graphics
Undergraduate course, Department of Computer Science, Stony Brook University, 2019
This course introduces C programming and essential concepts of operating systems, compilers, concurrency, and performance analysis, focused around several cross-cutting examples, such as memory management, error handling, and threaded programming. In this course, operating systems concepts are considered from the point of view of the application programmer, and the focus is on APIs for interacting with an operating system.
CSE 328 Fundamentals of Computer Graphics
Undergraduate course, Department of Computer Science, Stony Brook University, 2021
CSE 328 is an undergraduate course which covers the basic concepts, mathematical foundations, fundamental theories and algorithms, software techniques, hardware and system issues, and application examples of computer graphics. The main topics will center on modeling, rendering, interaction, and animation. I served as a Teaching Assistant for Spring 2021.
CSE 528 Computer Graphics
Graduate course, Department of Computer Science, Stony Brook University, 2021
CSE 528 is a graduate course which provide graduate students a comprehensive knowledge on computer graphics concepts, theories, algorithms, techniques, and applications for modeling, simulation, rendering, animation, human-computer interactions, and other key elements of visual computing. It also demonstrates the significance of these mathematical and computational tools and graphics algorithms in visual computing and relevant areas. I served as a Teaching Assistant for Spring 2021.
CSE 528 Computer Graphics
Graduate course, Department of Computer Science, Stony Brook University, 2021
CSE 528 is a graduate course which provide graduate students a comprehensive knowledge on computer graphics concepts, theories, algorithms, techniques, and applications for modeling, simulation, rendering, animation, human-computer interactions, and other key elements of visual computing. It also demonstrates the significance of these mathematical and computational tools and graphics algorithms in visual computing and relevant areas. I served as a Teaching Assistant for Fall 2021.
CSE 328 Fundamentals of Computer Graphics
Undergraduate course, Department of Computer Science, Stony Brook University, 2022
CSE 328 is an undergraduate course which covers the basic concepts, mathematical foundations, fundamental theories and algorithms, software techniques, hardware and system issues, and application examples of computer graphics. The main topics will center on modeling, rendering, interaction, and animation. I served as a Teaching Assistant for Spring 2022.
CSE 328 Fundamentals of Computer Graphics
Undergraduate course, Department of Computer Science, Stony Brook University, 2023
CSE 328 is an undergraduate course which covers the basic concepts, mathematical foundations, fundamental theories and algorithms, software techniques, hardware and system issues, and application examples of computer graphics. The main topics will center on modeling, rendering, interaction, and animation. I served as a Teaching Assistant for Spring 2023.
CSE 328 Fundamentals of Computer Graphics
Undergraduate course, Department of Computer Science, Stony Brook University, 2024
CSE 328 is an undergraduate course which covers the basic concepts, mathematical foundations, fundamental theories and algorithms, software techniques, hardware and system issues, and application examples of computer graphics. The main topics will center on modeling, rendering, interaction, and animation. I served as a Teaching Assistant for Spring 2024.
CSE 528 Computer Graphics
Graduate course, Department of Computer Science, Stony Brook University, 2024
CSE 528 is a graduate course which provide graduate students a comprehensive knowledge on computer graphics concepts, theories, algorithms, techniques, and applications for modeling, simulation, rendering, animation, human-computer interactions, and other key elements of visual computing. It also demonstrates the significance of these mathematical and computational tools and graphics algorithms in visual computing and relevant areas. I served as a Teaching Assistant for Fall 2024.