详见个人主页，2021年前部分论文信息如下：
[1]X. Yang, D. Xia, T. Kin, T. Igarashi, “Surface-based 3D Deep Learning Framework for Segmentation of Intracranial Aneurysms from TOF-MRA Images”, arXiv preprint,arXiv:2006.16161, 2020.
[2]C. Zhang, X. Lu, K. Hotta, X. Yang, “G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data”, Computational Visual Media, 10 pages, 2020.
[3]X.Yang, K. Konno, F. Chiba, S. Yokoyama, “Visualization of Flake Knapping Sequence with Analyzing Assembled Chipped Stone Tools”, The Journal of Art and Science, Vol.18, No.1, pp.40-50, 2019.
[4]X.Yang, K. Matsuyama, K. Konno: “A New Method of Refitting Mixture Lithic Materials by Geometric Matching of Flake Surfaces”, The Journal of Art and Science, Vol.15, No. 4, pp.167-176, 2016. NICOGRAPH 2016 優秀論文賞
[5]X. Yang, K. Matsuyama, K. Konno, Y. Tokuyama: “A Feature Preserving Simplification of Point Cloud by Using Clustering Approach Based on Mean Curvature”, The Journal of Art and Science, Vol.14, No.4, pp.117-128, 2015.
[6]Zhang Zhiyi*, Yang Xi: “Interactively Controlled Generation Method for Class A Bezier Curve”, Computer Applications and Software, Vol.31, No.2, Feb. 2014.
[7]Koki Endo, Seung-Tak Noh, Kazutaka Nakashima, Xi Yang, Takeo Igarashi, “A Suggestive Interface for Designing Dance Formations”, SIGGRAPH 2021 poster. (accepted)
[8]Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi, “Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps”, 2021 IEEE International Symposium on Biomedical Imaging (ISBI) (ISBI 2021), April 13-16, 2021.
[9]Yi He, Haoran Xie, Chao Zhang, Xi Yang, Kazunori Miyata, Sketch-based Normal Map Generation with Geometric Sampling, International Workshop on Advanced Image Technology 2021, 2021.01.
[10]I. Orito, X. Yang, K. Nakashima, T. Fukusato, T. Igarashi, “Distorted Perspective for the Forward Camera Dolly”, ACM SIGGRAPH ASIA 2020 Technical Communications, 2020.
[11]Chunzhi Gu, Zhengyu Huang, Sicheng Li, Haoran Xie, Xi Yang, Chao Zhang. Apparel Generation via Cluster-Indexed Global and Local Feature Representations. IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), short paper, Kobe, 2020.10.
[12 ]X. Yang, D. Xia, T. Kin, T. Igarashi, “IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, June 16 - 18, 2020. Oral
[13]X. Yang, B. Wu, I. Sato, T. Igarashi, “Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping”, CVPR-19 Workshop on Explainable AI, Long Beach, CA, June 16th - 20th, 2019.
[14]Y. Wang, Xi Yang, T. Fukusato, T. Igarashi, “Computational Design and Fabrication of 3D Wire Bending Art”, ACM SIGGRAPH ASIA 2019 Poster, Brisbane, 11.17-20, 2019.
[15]T. Lin, X. Yang, K. Konno: “A Method of Searching Lithic Cores by Average Linkage Clustering”, NICOGRAPH International 2018, 2018.
[16]T. Batbold, X. Yang, K. Konno: “A Study of Finding Target Objects for Visualizing Stone Tool Assembly”, NICOGRAPH International 2018, 2018.
[17]T. Lin, X. Yang, K. Matsuyama, K. Konno: “An Edge Optimization Method Based on Segmented Surfaces of Stone Flakes”, International Workshop on Advanced Image Technology 2018 (IWAIT 2018), 2018.
[18]X. Yang, K. Matsuyama, K. Konno: “Pairwise Matching of Stone Tools Based on Flake-Surface Contour Points and Normals”, Eurographics Workshop on Graphics and cultural Heritage (GCH), The Eurographics Association, 2017.
[19]X. Yang, K. Matsuyama, K. Konno: “Interactive Visualization of Assembly Instruction for Stone Tools Restoration”, The 10th IEEE Pacific Visualization Symposium (PacificVis 2017), pp.270-274, 2017.
[20]折登 樹, 楊 溪, 中島一崇, 福里 司, 五十嵐健夫: “奥行方向への移動に対する非写実的なパースのインタラクティブな設計手法”, 第28回 Visual Computing (VC2020), 27, オンライン, 2020.12.2-4. 優秀研究発表賞
[21]X. Yang, K. Matsuyama, K. Konno, F. Chiba, S. Yokoyama: “Analysis and Visualization Instruction by Flake Knapping Sequence for Chipped Stone Tools”, NICOGRAPH 2017, pp.1-8, 2017.
[22]X. Yang, K. Matsuyama, K. Konno, Y. Tokuyama: “A Feature Preserving Simplification of Point Cloud by Using Clustering Approach Based on Mean Curvature”, NICOGRAPH 2014, pp.9-16, 優秀論文賞，11 月 2-4 日，2014．
[23]楊渓，松山克胤，今野晃市：“曲率に基づくグループ化による計測点群の軽量化”, 平成 25 年度第４回 芸術科学会東北支部研究会，3 月 29 日，2014．
