发表论文 - Publications

我的发表论文和引用等可以在 Google学术查阅。

All my papers and citations can be found at Google Scholar

2024

• Jiaming Cheng, Ni Li, Ban Wang, Shuhui Bu, Ming Zhou, “High-Sample-Efficient Multiagent Reinforcement Learning for Navigation and Collision Avoidance of UAV Swarms in Multitask Environments”, IEEE Internet of Things Journal , vol. 11 (22), pp. 36420-36437, 2024.

• Xuefeng Cao, Xiaoyi Zhang, Anzhu Yu, Wenshuai Yu, Shuhui Bu, “CSStereo: A UAV scenarios stereo matching network enhanced with contrastive learning and feature selection”, International Journal of Applied Earth Observation and Geoinformation , vol. 134, p. 104189, 2024.

• Kuijun Zuo, Zhengyin Ye, Shuhui Bu, Xianxu Yuan, Weiwei Zhang, “Fast simulation of airfoil flow field via deep neural network”, Aerospace Science and Technology , vol. 150, p. 109207, 2024.

• Yizhu Zhang, Shuhui Bu, Yifei Dong, Yu Zhang, Kun Li, Lin Chen, “AutoFusion: Autonomous Visual Geolocation and Online Dense Reconstruction for UAV Cluster”, 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 3913-3919, 2024.

• Boni Hu, Lin Chen, Runjian Chen, Shuhui Bu, Pengcheng Han, Haowei Li, “CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement”, IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1-14, 2024.

• Lean Weng, Wenqing Yang, Boni Hu, Pengcheng Han, Shaocheng Xue, Yu Zhang, Haowei Li, Jie Jin, Shuhui Bu, “MDINet: Multi-Domain Incremental Network for Change Detection”, IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1-15, 2024.

• Yu Wang, Shuhui Bu, Lin Chen, Yifei Dong, Kun Li, Xuefeng Cao, Ke Li, Jie Jin, “HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion”, IEEE Robotics and Automation Letters , vol. 9, no. 2, pp. 1139-1146, Feb. 2024.

• Kun Li, Shuhui Bu, Yifei Dong, Yu Wang, Xuan Jia, Zhenyu Xia, “UWB-VO: Ultra-Wideband Anchor Assisted Visual Odometry”, 2023 IEEE International Conference on Unmanned Systems (ICUS) , pp. 943-950, 2023.

2023

• Yu Wang, Shuhui Bu, Lin Chen, Yifei Dong, Kun Li, Xuefeng Cao, Ke Li, “HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion,” arXiv preprint arXiv:2304.04508, 2023.
• Yifei Dong, Shuhui Bu, Kun Li, Lin Chen, Zhenyu Xia, Yu Wang, Pengcheng Han, Xuefeng Cao, Ke Li, “ClusterFusion: Real-time Relative Positioning and Dense Reconstruction for UAV Cluster,” arXiv preprint arXiv:2304.04943, 2023.
• Wanyong Zou, Ni Li, Ban Wang, Kaibo Wang, Shuhui Bu, Ming Zhou, He Shen, “Parallel crosschecking neural network based fault-tolerant flight parameter estimation and faulty sensor identification,” Engineering Applications of Artificial Intelligence , vol. 123, p. 106446, 2023.
• Boni Hu, Lin Chen, Runjian Chen, Shuhui Bu, Pengcheng Han, Haowei Li, “CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement,” arXiv preprint arXiv:2311.11604, 2023.

2022

• Kuijun Zuo, Shuhui Bu, Weiwei Zhang, Jiawei Hu, Zhengyin Ye, Xianxu Yuan, “Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture,” Aerospace Science and Technology, vol. 130, pp. 107942, 2022.
• Changhao Chen, Bifeng Song, Shuhui Bu, Lei He, “An improved point feature‐based sparse stereo vision,” IET Image Processing, vol. 16, no. 12, pp. 3284-3299, 2022.
• Pengcheng Han, Cunbao Ma, Jian Chen, Lin Chen, Shuhui Bu, Shibiao Xu, Yong Zhao, Chenhua Zhang, Tatsuya Hagino, “Fast tree detection and counting on UAVs for sequential aerial images with generating orthophoto mosaicing,” Remote Sensing , vol. 14, no.16, p.4113, 2022.

2021

• Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, “HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 11500-11507, 2021.
• Pengcheng Han, Qing Li, Cunbao Ma, Shibiao Xu, Shuhui Bu, Yong Zhao, Ke Li, “HMMN: Online metric learning for human re-identification via hard sample mining memory network,” Engineering Applications of Artificial Intelligence, vol. 106, p. 104489, 2021.
• Yong Zhao, Lin Chen, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan, “RTSfM: Real-Time Structure From Motion for Mosaicing and DSM Mapping of Sequential Aerial Images With Low Overlap,” IEEE Transactions on Geoscience and Remote Sensing.
• Pinmo Tong, Pengcheng Han, Suicheng Li, Ni Li, Shuhui Bu, Qing Li, Ke Li, “Counting trees with point-wise supervised segmentation network,” Engineering Applications of Artificial Intelligence, vol. 100, p. 104172, 2021.
• Xiong You, Qin Li, Ke Li, Anzhu Yu, Shuhui Bu, “PL‐VSCN: Patch‐level vision similarity compares network for image matching,” IET Computer Vision, vol. 15, no. 2, pp. 122-135, 2021.
• Pinmo Tong, Xishan Zhang, Pengcheng Han, Shuhui Bu, “Point in: Counting Trees with Weakly Supervised Segmentation Network,” 2020 25th International Conference on Pattern Recognition (ICPR), pp. 9546-9552, 2021.

2020

• Suicheng Li, Pengcheng Han, Shuhui Bu, Pinmo Tong, Qing Li, Ke Li, Gang Wan, “Change detection in images using shape-aware siamese convolutional network,” Engineering Applications of Artificial Intelligence, vol. 94, p. 103819, 2020.
• Yong Zhao, Guochen Liu, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Gang Wan, “Fast Georeferenced Aerial Image Stitching with Absolute Rotation Averaging and Planar-Restricted Pose Graph,” IEEE Transactions on Geoscience and Remote Sensing, pp. 1-16, 2020.
• Shuhui Bu, Qing Li, Pengcheng Han, Pengyu Leng, Ke Li, “Mask-CDNet: A mask based pixel change detection network,” Neurocomputing, vol. 378, pp. 166-178, 2020.
• Yong Zhao, Yuqi Cheng, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan, “Real-Time Orthophoto Mosaicing on Mobile Devices for Sequential Aerial Images with Low Overlap,” Remote Sensing, vol. 12, no. 22, p. 3739, 2020.
• Lin Chen, Yong Zhao, Shibiao Xu, Shuhui Bu, Pengcheng Han and Gang Wan, “DenseFusion: Large-Scale Online Dense Pointcloud and DSM Mapping for UAVs,” IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020.

2019

• Pengcheng Han, Cunbao Ma, Qing Li, Pengyu Leng, Shuhui Bu, Ke Li, “Aerial image change detection using dual regions of interest networks,” Neurocomputing, vol. 349, pp. 190-201, 2019.
• Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, “GSLAM: A General SLAM Framework and Benchmark,” ICCV, 2019.
• Wei Wang, Yong Zhao, Pengcheng Han, Pengcheng Zhao, and Shuhui Bu, “TerrainFusion: Real-time Digital Surface Model Reconstruction based on Monocular SLAM,” IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019.
• Hao Long, Yinung Chung, Zhenbao Liu, Shuhui Bu, “Object Detection in Aerial Images Using Feature Fusion Deep Networks,” IEEE Access, vol. 7, pp. 30980-30990, 2019.
• Bodi Ma, Zhenbao Liu, Feihong Jiang, Yuehao Yan, Jinbiao Yuan, Shuhui Bu, “Vehicle Detection in Aerial Images Using Rotation-Invariant Cascaded Forest,” IEEE Access, vol. 7, pp. 59613-59623, 2019.
• Zhizhong Han, Zhenbao Liu, Junwei Han, Chiman Vong, Shuhui Bu, C L Philip Chen, “Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 49, no. 2, pp. 481-494, 2019.

2018

• Shibiao Xu, Xingjia Pan, Er Li, Baoyuan Wu, Shuhui Bu, Weiming Dong, Shiming Xiang, Xiaopeng Zhang, “Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 12, 2018.
• Zhenbao Liu, Zhen Jia, Chi‐Man Vong, Shuhui Bu, Michael G Pecht, “Analysis of PHM Patents for Electronics,” Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things, 2018.
• Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, CL Philip Chen, “Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax,” IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 3049-3063, 2018.
• Zeyu Wang, Yanxia Wu, Shuhui Bu, Pengcheng Han, Guoyin Zhang, “Structural inference embedded adversarial networks for scene parsing,” PloS one, vol. 13, no. 4, 2018.
• Ke Li, Gong Cheng, Shuhui Bu, Xiong You, “Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 4, pp. 2337-2348, 2018.
• Ke Li, Changqing Zou, Shuhui Bu, Yun Liang, Jian Zhang, Minglun Gong, “Multi-modal feature fusion for geographic image annotation,” Pattern Recognition, vol. 73, pp. 1-14, 2018.

2017

• Ke Li, Changqing Zou, Shuhui Bu, Yun Liang, Jian Zhang, Minglun Gong, “Multi-modal feature fusion for geographic image annotation,” Pattern Recognition, vol. 73, pp. 1-14, 2017.
• Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, Chun Lung Philip Chen, “Mesh convolutional restricted Boltzmann machines for unsupervised learning of features with structure preservation on 3-D meshes,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2268-2281, 2017.
• Zhenbao Liu, Jinxin Huang, Junwei Han, Shuhui Bu, Jianfeng Lv, “Human motion tracking by multiple RGBD cameras,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 9, pp. 2014-2027, 2017.
• Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, CL Philip Chen, “BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation,” IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3707-3720, 2017.
• Zhenbao Liu, Zhen Jia, Chi-Man Vong, Shuhui Bu, Junwei Han, Xiaojun Tang, “Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning,” IEEE Transactions on Industrial Informatics, vol. 13, no. 3, pp. 1213-1226, 2017.
• Zhenbao Liu, Jinxin Huang, Shuhui Bu, Junwei Han, Xiaojun Tang, Xuelong Li, “Template deformation-based 3-d reconstruction of full human body scans from low-cost depth cameras,” IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 695-708, 2017.
• Shuhui Bu, Lei Wang, Pengcheng Han, Zhenbao Liu, Ke Li, “3D shape recognition and retrieval based on multi-modality deep learning,” Neurocomputing, vol. 259, pp. 183-193, 2017.
• Zhenbao Liu, Gaoyuan Sun, Shuhui Bu, Junwei Han, Xiaojun Tang, Michael Pecht, “Particle learning framework for estimating the remaining useful life of lithium-ion batteries,” IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 2, pp. 280-293, 2017.
• Zhenbao Liu, Taimin Liu, Junwei Han, Shuhui Bu, Xiaojun Tang, Michael Pecht, “Signal model-based fault coding for diagnostics and prognostics of analog electronic circuits,” IEEE Transactions on Industrial Electronics, vol. 64, no. 1, pp. 605-614, 2017.

2016

• Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, Xuelong Li, “Unsupervised 3d local feature learning by circle convolutional restricted boltzmann machine,” IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 5331-5344, 2016.
• Zhenbao Liu, Xiao Wang, Shuhui Bu, “Human-centered saliency detection,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1150-1162, 2016.
• Shuhui Bu, Yong Zhao, Gang Wan, and Zhenbao Liu, “Map2DFusion: Real-time Incremental UAV Image Mosaicing based on Monocular SLAM,” IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016.
• Shuhui Bu, Pengcheng Han, Zhenbao Liu, Junwei Han, “Scene parsing using inference Embedded Deep Networks,” Pattern Recognition, 2016.
• Qing Li, Ke Li, Xiong You, Shuhui Bu, Zhenbao Liu, “Place recognition based on deep feature and adaptive weighting of similarity matrix,” Neurocomputing, vol. 199, pp. 114-127, 2016.
• Zhenbao Liu, Jinxin Huang, Junwei Han, Shuhui Bu, Jianfeng Lv, “Human Motion Tracking by Multiple RGBD Cameras,” IEEE Transactions on Circuits and Systems for Video Technology, 2016.
• Shuhui Bu, Yong Zhao, Gang Wan, Ke Li, Gong Cheng, Zhenbao Liu, “Semi-direct tracking and mapping with RGB-D camera for MAV,” Multimedia Tools and Applications, 2016.

2015

• Zhenbao Liu, Xiao Wang, Shuhui Bu, “Human-Centered Saliency Detection,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1150-1162, 2015.
• Xiwen Yao, Junwei Han, Lei Guo, Shuhui Bu, Zhenbao Liu, “A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF”, Neurocomputing, vol. 164, pp. 162-172, 2015.
• Gong Cheng, Junwei Han, Lei Guo, Zhenbao Liu, Shuhui Bu, Jinchang Ren, “Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 8, pp. 4238-4249, 2015.
• Shuhui Bu, Pengcheng Han, Zhenbao Liu, Junwei Han, Hongwei Ling, “Local Deep Feature Learning Framework for 3D Shape”, Computer & Graphics, vol. 46, pp. 117-129, 2015.
• Zhenbao Liu, Hongliang Qin, Shuhui Bu, Meng Yan, Jinxin Huang, Xiaojun Tang, Junwei Han, “3D real human reconstruction via multiple low-cost depth cameras,” Signal Processing, vol. 112, pp. 162-179, 2015.
• Yang Li, Shuhui Bu, Zhenbao Liu, Chao Zhang, “Mechanical fault diagnosis of rolling bearing based on locality-constrained sparse coding”, Prognostics and Health Management (PHM), 2015 IEEE Conference on, 2015.
• Zhenbao Liu, Dasen Fan, Shuhui Bu, Chao Zhang, “Prediction of remaining useful life of battery cell using logistic regression based on strong tracking particle filter”, Prognostics and Health Management (PHM), 2015 IEEE Conference on, 2015.
• Zhenbao Liu, Gaoyuan Sun, Shuhui Bu, Chao Zhang, “Remaining useful life estimation of lithium-ion battery using exemplar-based conditional particle filter”, Prognostics and Health Management (PHM), 2015 IEEE Conference on, 2015.

2014

• Shuhui Bu, Zhenbao Liu, Junwei Han, Jun Wu, Rongrong Ji, “Learning High-level Feature by Deep Belief Networks for 3D Model Retrieval and Recognition,” IEEE Transactions on Multimedia, vol. 16, no. 8, pp. 2151-2167, 2014.
• Shuhui Bu, Shaoguang Cheng, Zhenbao Liu, Junwei Han, “Multi-modal Feature Fusion for 3D Shape Recognition and Retrieval,” IEEE Multimedia, vol. 21, no. 4, pp. 38-46, 2014.
• Shuhui Bu, Pengcheng Han, Zhenbao Liu, Ke Li, Junwei Han, “Shift-Invariant Ring Feature for 3D Shape,” The Visual Computer, vol. 30, no. 5, pp. 867-876, 2014.
• Zhenbao Liu, Shuhui Bu, Junwei Han, “Locality-constrained sparse patch coding for 3D shape retrieval,” Neurocomputing, vol. 151, part 2, pp. 583-592, 2014.
• Zhenbao Liu, Sicong Tang, Weiwei Xu, Shuhui Bu, Junwei Han, Kun Zhou, “Automatic 3D Indoor Scene Updating with RGBD Cameras,” Computer Graphics Forum, vol. 33, no. 7, 2014.
• Zhenbao Liu, CailiXie, Shuhui Bu, Xiao Wang, Junwei Han, Hongwei Ling, “Indirect Shape Analysis for 3D Shape Retrieval”, Computer & Graphics, vol. 46, pp. 110-116, 2014.
• Zhizhong Han, Zhenbao Liu, Junwei Han, Shuhui Bu, “3D Shape Creation by Style Transfer,” The Visual Computer, vol. 30, no. 7, 2014.
• Zhenbao Liu, Shuhui Bu, Junwei Han, “Human-Centered 3D Home Applications via Low-Cost RGBD Cameras,” chapter 6 of book “Computer Vision and Machine Learning with RGB-D Sensors”, 2014.
• Dingwen Zhang, Junwei Han, Gong Cheng, Zhenbao Liu, Shuhui Bu, Lei Guo, “Weakly Supervised Learning for Target Detection in Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, 2014.
• Junwei Han, Peicheng Zhou, Dingwen Zhang, Gong Cheng, Lei Guo, Zhenbao Liu, Shuhui Bu, Jun Wu, “Efficient, Simultaneous Detection of Multi-class Geospatial Targets based on Visual Saliency Modeling and Discriminative Learning of Sparse Coding,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 89, no. 3, pp. 37-48, 2014.
• Zhenbao Liu, Shaoguang Cheng, Shuhui Bu, Ke Li, “High-level Semantic Feature for 3D Shape Based on Deep Belief Networks,” IEEE Conference on Multimedia & Expo (ICME), 2014.
• D. Pickup, X. Sun, P.L. Rosin, R.R. Martin, Z. Cheng, Z. Lian, M. Aono, A. Ben Hamza, A. Bronstein, M. Bronstein, S. Bu, U. Castellani, S. Cheng, V. Garro, A. Giachetti, A. Godil, J. Han, H. Johan, L. Lai, B. Li, C. Li, H. Li, R. Litman, X. Liu, Z. Liu, Y. Lu, A. Tatsuma, J. Ye, “SHREC’14 Track: Shape Retrieval of Non-Rigid 3D Human Models,” Eurographics Workshop on 3D Object Retrieval, 2014.
• Jun Wu, Wenjing Qiao, Cailiang Kuang, Zhenbao Liu, Shuhui Bu, Junwei Han, “A 3D Fingertips Detecting and Tracking Algorithm based on the Sliding Window,” 2014 ACM Multimedia, 2014.

2013

• Zhenbao Liu, Sicong Tang, Shuhui Bu, Hao Zhang, “New evaluation metrics for mesh segmentation,” Computer & Graphics, vol. 37, no. 6, pp. 553-564, 2013.
• Zhenbao Liu, Shuhui Bu, Kun Zhou, Shuming Gao, Junwei Han, Jun Wu, “A survey on partial retrieval of 3D shapes,” Journal of Computer Science and Technology, vol. 28, no. 5, pp. 836-851, 2013.
• Shuhui Bu, Zhenbao Liu, Junwei Han, Jun Wu, “Superpixel segmentation based structural scene recognition,” 2013 ACM Multimedia, pp. 681-684, Barcelona, Spain, 2013.
• Chengliang Li, Zhongsheng Wang, Shuhui Bu, Hongkai Jiang, and Zhenbao Liu, “A Novel Method based on Least Squares Support Vector Regression Combing with Strong Tracking Particle Filter for Machinery Condition Prognosis,” Journal of Mechanical engineering Science, vol. 228, no. 6, pp. 1048-1062, 2014.
• Zhenbao Liu, Shuhui Bu, Junwei Han, Jun Wu, “Sparse Patching Coding for 3D Model Retrieval,” MulitiMedia Modeling, pp. 116-127, 2013.
• Zhenbao Liu, Feng Zhang, Shuhui Bu, “Spectral Classification of 3D Articulated Shapes,” MultiMedia Modeling, pp. 315-322, 2013.

2012

• Shuhui Bu, Zhenbao Liu, Tsuyoshi Shiina, Kengo Kondo, Makoto Yamakawa, Kazuhiko Fukutani, Yasuhiro Sommeda, and Yasufumi Asao, “Model-based reconstruction integrated with fluence compensation for photoacoustic tomography,” IEEE Transactions on Biomedical Engineering, vol. 59, no.5, pp.1354-1363, 2012.
• Shuhui Bu, Zhenbao Liu, Tsuyoshi Shiina, Kazuhiko Fukutani, “Matrix compression and compressed sensing reconstruction for photoacoustic tomography,” Electronics and Electrical Engineering, vol. 18, no. 9, pp.101-104, 2012.
• Pei Yao, Zhenbao Liu, Zhongsheng Wang, Shuhui Bu, “Fault signal classification using adaptive boosting algorithm,” Electronics and Electrical Engineering, vol. 18, no.8, pp. 97-100, 2012.
• Chengliang Li, Zhongsheng Wang, Shuhui Bu, Zhenbao Liu, “Semi-supervised adaptive parzen gentleboost algorithm for fault diagnosis,” 21st International Conference on Pattern Recognition (ICPR), pp.2290-2293, Tsukuba, Japan, 2012.
• Zhenbao Liu, Shicong Tang, Hongliang Qin, Shuhui Bu, “Evaluating user’s energy consumption using Kinect based skeleton tracking,” 2012 ACM Multimedia, pp. 1373-1374, Nara, Japan, 2012.

2011

• Zhenbao Liu and Shuhui Bu, “A Scheme of Real Time Cloud Rendering on the GPU,” Information Journal, vol. 14, no. 6, pp.1983-1992, 2011.
• Shuhui Bu, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina, Kazuhiko Fukutani, Yasuhiro Someda, Yasufumi Asao, “Adaptive and Quantitative Reconstruction Algorithm for Photoacoustic Tomography,” Proceedings of SPIE 7899, 78992G, SPIE Photonics West, BiOS 2011, San Francisco, California, United States, 22 - 27 January 2011.
• Zhenbao Liu, Shuhui Bu, Kun Zhou, Xiaoqian Sun, “Geometrically Attributed Binary Tree for 3D Shape Matching,” 25th IEEE Computer Graphics International Conference, Ottawa, Canada, 2011.

2010

• Shuhui Bu, Makoto Yamakawa, and Tsuyoshi Shiina, “Myocardial Strain Imaging with High-Performance Adaptive Dynamic Grid Interpolation Method,” Japanese Journal of Applied Physics, vol. 49, no.7, pp. 07HF25-1–10, July, 2010.
• Bunichiro Shibazaki, Shuhui Bu, Takanori Matsuzawa, and Hitoshi Hirose, “Modeling the Activity of Short-term Slow Slip Events Along Deep Subduction Interfaces Beneath Shikoku, Southwest Japan,” Journal of Geophysical Research, vol. 115, B00A19, Apr. 2010. (paper)
• Shuhui Bu, Makoto Yamakawa, Tsuyoshi Shiina, “Adaptive Depth Compensation Algorithm for Photoacoustic Tomography,” Proceedings of the 2010 IEEE International Ultrasonics Symposium, San Diego, October 11-14, 2010.
• Zhenbao Liu, Shuhui Bu, Chao Zhang, Xiaojun Tang, “Filter Fourier Coefficients of Shape Projections for 3D Shape Retrieval,” Information Journal, Vol. 13, No. 4, 2010.
• Naotaka Nitta, Kazuhiro Homma, Masaki Misawa, Kazuto Hoshi, Shuhui Bu, Tsuyoshi Shiina, “A Combinational Method of Laser and Hydrophone Measurements in Ultrasound Propagation for Evaluating Elasticity of Regenerating Cartilage Sample,” Proceedings of the 2010 IEEE International Ultrasonics Symposium, San Diego, October 11-14, 2010.

2009

• Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa, “A High Performance Spatio-Temporal Displacement Smoothing Method for Myocardial Strain Imaging,” Proceedings of the 2009 IEEE International Ultrasonics Symposium, pp. 1415-1418, Roma, September 20-23, 2009.

2008

• Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa, Hotaka Takizawa, “Adaptive Dynamic Grid Interpolation: A Robust, High-Performance Displacement Smoothing Filter for Myocardial Strain Imaging,” Proceedings of the 2008 IEEE International Ultrasonics Symposium, pp. 753-756, Beijing, Nov., 2008.
• Makoto Yamakawa, Shuhui Bu, Tsuyoshi Shiina, “Robust Strain Estimation Using Adaptive Dynamic Grid-Interpolation Model,” Proceedings of the 2008 IEEE International Ultrasonics Symposium, pp. 2021-2024, Beijing, Nov., 2008.

2007

• Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa, Hotaka Takizawa, “3D Myocardial Contraction Imaging Based on Dynamic Grid Interpolation: Theory and Simulation Analysis”, IEEJ Transactions on Electronics, Information and Systems, vol.127(c), no.10, 1732–1742, Oct., 2007.
• Shuhui Bu, Tsuyoshi Shiina, Makoto Yamakawa, Hotaka Takizawa, “3D Myocardial Strain Imaging: Improvement of Accuracy and Contrast by Dynamic Grid Interpolation,” Proceedings of the 2007 IEEE International Ultrasonics Symposium, New York, NY, Oct., 2007.