| 2024 | |
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Yumeng Yang, Chenyue Jiao, Xin Gao, Xiaoxin Tian, and Chongke Bi, “Adaptive Volumetric Data Compression Based on Implicit Neural Representation,” in Proceedings of The 17th International Symposium on Visual Information Communication and Interaction (VINCI 2024), pp. 1:1 – 8, 2024. (Best Paper Award，最佳论文奖) |
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Lu Yang, Cong Chen, Rong Guo, Chongke Bi, Yinghua Li, and Xiaobin Qiu”D-Markov: A Sparse Sample-based Model for Interannual Precipitation Prediction during the Rainy Season,” in Proceedings of The 17th International Symposium on Visual Information Communication and Interaction (VINCI 2024), pp. 8:1 – 8, 2024. |
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Mengmeng Yu, and Chongke Bi, “Adaptive 360° video timeline exploration in VR environment,” Computers & Graphics, vol.125, no. 104108, pp. 1 – 16, 2024. |
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Lu Yang, Cong Chen, Chongke Bi, Xiaobin Qiu, and Yunlong Li, “A ConvGRU-Based Visual Analysis System for Air Pollution Prediction,” Journal of Computer-Aided Design & Computer Graphics, vol.36, no. 6, pp. 928 – 936, 2024. |
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Zhilei Liu, Xiaoxing Liu, Sen Chen, Jiaxing Liu, Longbiao Wang, and Chongke Bi, “Multimodal Fusion for Talking Face Generation Utilizing Speech-related Facial Action Units,” ACM Transactions on Multimedia Computing Communications and Applications, vol. 20, no. 9, pp. 292:1 – 24, 2024. |
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Chongke Bi, Jiayang Li, Qing Feng, Chun-Cheng Lin, and Wen-Chieh Su, “Optimal Deployment of Vehicular Cloud Computing Systems with Remote Microclouds,” Wireless Networks, vol. 30, pp. 5305 – 5317, 2024. |
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Xiaoxian Tian, Chongke Bi, Jun Han, and Ce Yu, “EasyRP-R-CNN: A Fast Cyclone Detection Model,” The Visual Computer, vol. 2024, no. 40, pp. 4829 – 4841, 2024. |
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Yan Hao, Chongke Bi, Lu Yang, Xiaobin Qiu, Yunlong Li, and Ce Yu, “Tracing-U-Net: An Attention Based U-Net model for Air Pollution Source Tracing from Sparse Dataset,” in Proceedings of The 2024 International Conference on Information Technology, Data Science, and Optimization (I-DO 2024), pp. 83 – 90, 2024. |
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Yilong Li, Lu Yang, Xiaobin Qiu, and Chongke Bi, “Interactive Cloud Detection Based on Dynamic Mode Decomposition,” in Proceedings of The 2024 International Conference on Information Technology, Data Science, and Optimization (I-DO 2024), pp. 91 – 98, 2024. |
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Lu Yang, Rongrong Li, Xiaobin Qiu, and Chongke Bi, “BLCM: A BP-LGBM based Atmospheric Visibility Forecasting Model,” Journal of Visualization, vol. 27, no. 5, pp. 997 – 1014, 2024. |
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Keyuan Liu, Chenyue jiao, Xin Gao, and Chongke Bi, “UGINR: Large Scale Unstructured Grid Reduction via Implicit Neural Representation,” Journal of Visualization, vol. 27, no. 5, pp. 983 – 996, 2024. |
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Xiao Xue, Xiangning Yu, Deyu Zhou, Xiao Wang, Chongke Bi, Shufang Wang, and Feiyue Wang, “Computational Experiments for Complex Social Systems : Integrated Design of AI-driven Artificial Society,” IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 5, pp. 1175 – 1189, 2024. |
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Lu Yang, Kai Zhang, Jiaqi Liu, and Chongke Bi, “Location IoU: A New Evaluation and Loss for Bounding Box Regression in Object Detection,” in Proceedings of International Joint Conference on Neural Networks (IJCNN 2024), pp. 1 – 8, 2024. |
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Lu Yang, Yiwen Bai, Fenglei Ren, Chongke Bi, and Ronghui Zhang, “LCFNets: Compensation Strategy for Real-time Semantic Segmentation of Autonomous Driving,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 4, pp. 4715 – 4729, 2024. |
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Xinyi Zhao, Yu Zhang, Chongke Bi, and Siming Chen, “Viewpoint Recommendation for Point Cloud Labeling through Interaction Cost Modeling,” IEEE Transactions on Visualization and Computer Graphics, vol. xx, no.xx, pp. xx – xx, 2024. |
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Ting Liu, Dong Sun, Chongke Bi, Yi Sun, and Siming Chen, “Dynamic-Scene-Graph-Supported Visual Understanding of Autonomous Driving Scenarios,” in Proceedings of IEEE 17th Pacific Visualization Symposium (PacificVis 2024), pp. 82 – 91, 2024. |
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Jun Han, Hao Zheng, and Chongke Bi, “KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-based Implicit Neural Representation,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 10, pp. 6826 – 6838, 2024. |
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Chongke Bi, Xin Gao, Baofeng Fu, Yuheng Zhao, Siming Chen, Ying Zhao, and Yunhai Wang, “PCLVis: Visual Analytics of Process Communication Latency in Large-Scale Simulation,” Computational Visual Media, vol. xx, no.xx, pp. xx – xx, 2024. |
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Chongke Bi, Xiaoxing Liu, and Zhilei Liu, “NERF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis,” in Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (icassp 2024), pp. 3490 – 3494, 2024. |
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Chenyue Jiao, Chongke Bi, and Lu Yang, “FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution,” Journal of Visualization, vol. 27, no. 1, pp. 273 – 289, 2024. (Honorable Mention Award in ChinaVis 2023，最佳论文提名奖) |
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Mengyu Wang, Chongke Bi, Lu Yang, Xiaobin Qiu, Yunlong Li, and Ce Yu, “PMIM: Generating High-Resolution Air Pollution Data via Masked Image Modeling,” Journal of Visualization, vol. 27, no. 3, pp. 383 – 399, 2024. |
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Jialu Dong, Huijie Zhang, Meiqi Cui, Yiming Lin, Hsiang-Yun Wu, and Chongke Bi, “TCEVis: Visual Analytics of Traffic Congestion Influencing Factors based on Explainable Machine Learning,” Visual Informatics, vol. 8, no. 1, pp. 56 – 66, 2024. |
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Razil Tahir, Jorji Nonaka, Ken Iwata, Taisei Matsushima, Naohisa Sakamoto, Chongke Bi, Masahiro Nakao, and Hitoshi Murai, “Analysis Towards Energy-Aware Image-based In Situ Visualization on the Fugaku,” in Proceedings of The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2024), pp. 154 – 163, 2024. |
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Taisei Matsushima, Ken Iwata, Naohisa Sakamoto, Jorji Nonaka, and Chongke Bi, “Information Entropy-based Camera Focus Point and Zoom Level Adjustment for Smart In-Situ Visualization,” in Proceedings of The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2024), pp. 164 – 173, 2024. |
| 2023 | |
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Mengmeng Yu, and Chongke Bi, “Timeline Exploration in 360° Video,” in Proceedings of the 2023 ACM Symposium on Spatial User Interaction (ACM SUI 2023), pp. 24:1 – 24:12, 2023. |
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Chenyue Jiao, Chongke Bi, Lu Yang, Zhen Wang, Zijun Xia, and Kenji Ono, “ESRGAN-Based Visualization for Large-Scale Volume Data,” Journal of Visualization, vol. 26, no. 3, pp. 649 – 655, 2023. (Honorable Mention Award in ChinaVis 2022，最佳论文提名奖) |
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Jiayang Li, and Chongke Bi, “Visual Analysis of Air Pollution Spatio-temporal Patterns,” The Visual Computer, vol. 2023, no. 39, pp. 3715 – 3726, 2023. |
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Mingyu Yue, Xifeng Gao, and Chongke Bi, “3D Low-Poly Mesh Generation for Building Models,” Journal of Graphics, vol. 44, no. 4, pp. 764 – 774, 2023. |
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Lu Yang, Yiwen Bai, Fenglei Ren, Shiyu Zhang, and Chongke Bi, “LCFNet: Loss Compensation Fusion Network for Real-time Semantic Segmentation of Urban Road Scenes,” in Proceedings of 26th IEEE International Conference on Intelligent Transportation Systems, pp. 347 – 354, 2023. |
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Yan Hao, Chongke Bi, Lu Yang, Xiaobin Qiu, Yunlong Li, and Ce Yu, “Visual Analytics of Air Pollutant Propagation Path and Pollution Source,” in Proceedings of The 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023), pp. 5:1 – 5:8, 2023. |
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Mengmeng Yu, Chongke Bi, and Dong Han, “CRVideo: Cross-reality 360° Video Social Systems Exploration,” in Proceedings of 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VR2023), pp. 319 – 323, 2023. |
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Peiru Pan, Chongke Bi, Jizeng Wei, Naohisa Sakamoto, and Jorji Nonaka, “Flow Field Feature Extraction and Tracking Based on Spatial Similarity Metrics,” in Proceedings of NICOGRAPH International 2023, pp. 30 – 37, 2023. |
| 2022 | |
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Chongke Bi, Jiamin Wang, Yulin Duan, Baofeng Fu, Jia-Rong Kang, and Yun Shi, “MobileNet Based Apple Leaf Diseases Identification,” Mobile Networks & Applications, vol. 27, no. 1, pp. 172 – 180, 2022. |
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Christophe Haikal, Pegah Alizadeh, Christophe Rodrigues, and Chongke Bi, “Place Embedding across Cities in Location-based Social Networks,” in Proceedings of The 37th ACM/SIGAPP Symposium On Applied Computing (SAC2022), pp. 539 – 546, 2022. |
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Liang Deng, Wenchun Bao, Yueqing Wang, Zhigong Yang, Dan Zhao, Fang Wang, Chongke Bi, and Yang Guo, “Vortex-U-Net: An Efficient and Effective Vortex Detection Approach based on U-Net Structure,” Applied Soft Computing, vol. 115, no. 108229, pp. 1 – 34, 2022. |
| 2021 | |
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Jiamin Wang, Chongke Bi, Liang Deng, Fang Wang, Yang Liu, and Yueqing Wang, “A Composition-Free Parallel Volume Rendering Method,” Journal of Visualization, vol. 24, no. 3, pp. 531 – 544, 2021. DOI:https://doi.org/10.1007/s12650-020-00719-x |
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Min Hou, Chongke Bi, Fang Wang, Liang Deng, Gang Zheng, and Xiangfei Meng, “mSwap: A Large-Scale Image-Compositing Method with Optimal m-ary Tree,” Advances in Aerodynamics, 3, 3(2021):1-17, 2021. DOI: https://doi.org/10.1186/s42774-020-00056-5 |
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Xiaolin Shi, Chongke Bi, Yuanqi Huang, Liang Deng, Yueqing Wang, and Fang Wang, “Virtual Viewpoint Based Interactive In-situ Visualization of Large-Scale Simulation,” Frontiers of Data & Computing, vol 3. , no. 4 :30-43, 2021. |
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Ce Yu, Kun Li, Yanxia Zhang, Jian Xiao, Chenzhou Cui, Yihan Tao, Shanjiang Tang, Chao Sun, and Chongke Bi, “A Survey on Machine Learning Based Light Curve Analysis for Variable Astronomical Sources,” WIREs Data Mining and Knowledge Discovery, vol. 11, no. 5, pp. 1-25, 2021. |
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Theo Demessance, Chongke Bi, Sonia Djebali, Guillaume Guerard，“Hidden Markov Model for Tourist Recommendation”， in Proceedings of The 22nd IEEE International Conference on Mobile Data Management （MDM2021），pp. 209-216, 2021. |
| 2020 | |
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Baofeng Fu, Chongke Bi, Jiayang Li, and Lu Yang, “Interpolation of Diffusion Tensor Field Based on Local Features,” Journal of Computer-Aided Design & Computer Graphics, vol. 32, no. 10, pp. 1637-1644, 2020. DOI: 10.3724/SP.J.1089.2020.18468 |
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Lu Yang, Pengli Xie, Chongke Bi, Ronghui Zhang, Bowen Cai, Xiaowei Shao, and Rongben Wang, “Household Power Consumption Pattern Modeling through a Single Power Sensor,” Renewable Energy, vol. 155, no. 2020, pp. 121 – 133, 2020. DOI: https://doi.org/10.1016/j.renene.2020.03.118 |
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Yulin Duan, Dandan Li, and Chongke Bi, Deep Learning Based Pest Identification on Mobile, in Proceedings of Smart Grid and Internet of Things. SGIoT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 324. Springer, pp. 123 – 128, 2020. DOI: https://doi.org/10.1007/978-3-030-49610-4_10 |
| 2019 | |
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Chongke Bi, Guosheng Pan, Lu Yang, Chun-Cheng Lin, Min Hou, and Yuanqi Huang, “Evacuation Route Recommendation Using Auto-Encoder and Markov Decision Process,” Applied Soft Computing, vol. 84, no. 105741, pp. 1 – 11, 2019. DOI:https://doi.org/10.1016/j.asoc.2019.105741 |
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Ce Yu, Bingyao Li, Jian Xiao, Chao Sun, Shanjiang Tang, Chongke Bi, Chenzhou Cui, and Dongwei Fan, “Astronomical data fusion: recent progress and future prospects — a survey,” Experimental Astronomy, vol. 47, no. 3, pp. 359 – 380, 2019. |
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Zhen Wang, Luoxuan Li, and Chongke Bi, “Image-based Facial Pore Detection and Visualization in Skin Health Evaluation,” Journal of Visualization, vol. 22, no. 5, pp. 1039 – 1055, 2019. |
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Chongke Bi, Bairan Fu, Jian Chen, Yudong Zhao, Lu Yang, Yulin Duan and Yun Shi, ” Machine learning based fast multi-layer liquefaction disaster assessment,” World Wide Web: Internet and Web Information Systems, Vol. 22, no. 5, pp. 1935–1950, 2019. DOI: https://doi.org/10.1007/s11280-018-0632-8 |
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Chongke Bi, Lu Yang, Yulin Duan, and Yun Shi, “A Survey on Visualization of Tensor Field,” Journal of Visualization, vol. 22, no. 3, pp. 641 – 660, 2019. DOI: https://doi.org/10.1007/s12650-019-00555-8 |
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Cuicui Zhang, Hao Wei, Chongke Bi, and Zhilei Liu, “Helmholtz-Hodge Decomposition based 2D and 3D Ocean Surface Current Visualization for Mesoscale Eddy Detection”, Journal of Visualization, vol. 22, no.2 pp. 231 – 243, 2019. |
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Xiaohan Zhang, Chongke Bi, Kiyoshi Honda, Wenhuan Lu, and Jianguo Wei, Individual Difference of Relative Tongue Size and its Acoustic Effects, in Proceedings of the 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019, pp. 126 – 130, 2019. DOI: 10.21437/Interspeech.2019-2452 |
| 2018 | |
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Cuicui Zhang, Zhilei Liu, Chongke Bi, and Shuai Chang, ” Dependent Motion Segmentation in Moving Camera Videos: A Survey,” IEEE Access, vol. 6, pp. 55963-55975, 2018. |
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Chongke Bi, Ye Yuan, Jiawan Zhang, Yun Shi, Yuehuan Wang, and Ronghui Zhang, ” Dynamic Mode Decomposition Based Video Shot Detection,” IEEE Access, vol. 6, pp. 21397-21407, 2018. DOI: 10.1109/ACCESS.2018.2825106. |
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Jieling Wang, Quan Yu, Zan Li and Chongke Bi, “Distributed Space Time Block Transmission and QRD Based Diversity Detector in Asynchronous Cooperative Communications Systems,” IEEE Transactions on Vehicular Technology, vol. 67, no. 6, pp. 5111-5125, 2018. |
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Qi Luo, Jian Xiao, Ce Yu, Chongke Bi, Yiming Ji, Jizhou Sun, Bo Zhang and Hao Wang, HyGrid: A CPU-GPU Hybrid Convolution-based Gridding Algorithm in Radio Astronomy, in Proceedings of 18th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2018), pp. 621 – 635, 2018. |
| 2017 | |
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Chongke Bi, Ye Yuan, Ronghui Zhang, Yiqing Xiang, Yuehuan Wang, and Jiawan Zhang. ” A Dynamic Mode Decomposition Based Edge Detection Method for Art Images.” IEEE Photonics Journal, 2017, 9(6) : 1-13. DOI: 10.1109/JPHOT.2017.2766881. |
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Fan Hong, Chongke Bi, Hanqi Guo, Kenji Ono, Xiaoru Yuan. ” Compression-based integral curve data reuse framework for flow visualization.” Journal of Visualization, 2017, 20(4) : 859-874. |
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Jieling Wang, Yang Xu, Zan Li, Hong Yang, Chongke Bi. ” Decision Directed Multiple-Relay Diversity Detector in Asynchronous Cooperative Communication Systems.” Wireless Personal Communications, 2017, 95(4): 4931-4946. |
| 2015 | |
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Huajian Xue, Ronghui Zhang, Haiwei Wang, Wenxiao Zeng, Chongke Bi. “Modeling Uyghur Speech Phenomena with Morphological Rules.” Recent Patents on Computer Science, 2015,8(1): 58-66. |
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Peng Li, Haiyuan Wu, Qian Chen, and Chongke Bi, “Person Re-Identification Using Color Enhancing Feature,” in Proceedings of 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015), pp. 1-8, Novermber, 2015. |
| 2014 | |
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Ishikawa Shota, Haiyuan Wu, Chongke Bi, Qian Chen, Hirokazu Taki, Kenji Ono. “Fluid Data Compression and ROI Detection Using Run Length Method.” Procedia Computer Science, 2014, 35 : 1284-1291. |
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Chongke Bi, Kenji Ono, Kwan-Liu Ma, Haiyuan Wu, and Toshiyuki Imamura, “Proper Orthogonal Decomposition Based Parallel Compression for Visualizing Big Data on the K Computer,” in Proceedings of Eurographics Symposium on Parallel Graphics and Visualization, pp. 1-8, 2014. |
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Jorji Nonaka, Chongke Bi, Syoyo Fujita, and Kenji Ono, “2-3-4 Decomposition Method for Large-Scale Parallel Image Composition with Arbitrary Number of Nodes,” in Proceedings of IEEE International Conference on Systems Informatics, Modeling and Simulation, pp. 59-64, 2014. |
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Chongke Bi, Kenji Ono, and Lu Yang, “Parallel POD Compression of Time-Varying Big Datasets Using m-Swap on the K Computer,” in Proceedings of IEEE International Congress on Big Data, pp. 438-445, 2014. |
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Chongke Bi and Kenji Ono, “2-3-4 Combination for Parallel Compression on the K Computer,” in Proceedings of IEEE Pacific Visualization Symposium, pp. 281-285, 2014. |
| 2012 | |
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Chongke Bi, Daisuke Sakurai, Shigeo Takahashi, and Kenji Ono, “Interactive Control of Mesh Topology in Quadrilateral Mesh Generation Based on 2D Tensor Fields,” in Proceedings of the 8th International Symposium on Visual Computing (ISVC2012), Part II, Lecture Notes in Computer Science, Springer, Vol. 7432, pp. 726-735, 2012. |
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Chongke Bi, Shigeo Takahashi, and Issei Fujishiro, “Degeneracy-Aware Interpolation of 3D Diffusion Tensor Fields,” in Proceedings of SPIE Visualization and Data Analysis 2012, 2012. |
| 2011 | |
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Shigeo Takahashi, Issei Fujishiro, Yuriko Takeshima, and Chongke Bi, “Previewing Volume Decomposition Through Optimal Viewpoints,” Scientific Visualization: Interactions, Features, Metaphors, Dagstuhl Follow-Ups (ISBN 978-3-939897-26-2), Vol. 2, pp. 346-359, October, 2011. |
| 2010 | |
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Chongke Bi, Shigeo Takahashi, and Issei Fujishiro, “Interpolating 3D Diffusion Tensors in 2D Planar Domain by Locating Degenerate Lines,” in Proceedings of the 6th International Symposium on Visual Computing (ISVC2010), Part I, Lecture Notes in Computer Science, Springer, Vol. 6543, pp. 328-337, November, 2010. |
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Jun Kobayashi, Chongke Bi, and Shigeo Takahashi, “Sophisticated Construction and Search of 2D Motion Graphs for Synthesizing Videos,” in Proceedings of the 4th Pacific-Rim Symposium on Image and Video Technology (PSIVT2010), pp. 487-494, November, 2010. |
Posters:
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Lin Zhu, Ye Yuan, and Chongke Bi, “Visual Analysis of the Cut-Point in Urban Public Service,” in Poster Proceedings of IEEE Pacific Visualization 2018, pp. 31-32, April, 2018. |
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Jie Lin, Ye Yuan, and Chongke Bi, “Visual Analysis of Urban Public Services for Early Warning,” in Poster Proceedings of IEEE Pacific Visualization 2018, pp. 29-30, April, 2018. |
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Chongke Bi, “An m-Swap method for Parallel POD Compression on the K Computer,” in Proceedings of Sparse Modeling High-Dimensional Data-Driven Science, pp. 165-166, December, 2014. |
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Chongke Bi, Kenji Ono, Kwan-Liu Ma, Haiyuan Wu, and Toshiyuki Imamura, “Proper Orthogonal Decomposition Based Parallel Compression for Visualizing Big Data on the K Computer,” in Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization 2013, pp. 121-122, October, 2013. |
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Chongke Bi, and Kenji Ono, “POD-Based Parallel Compression for Visualizing Large-Scale Dataset,” in Proceedings of HPCS2013, pp. 83, January, 2013. |
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Chongke Bi, Shigeo Takahashi, and Issei Fujishiro, “Interpolation of 3D Diffusion Tensor Fields by Locating Degenerate Lines,” in Poster Proceedings of IEEE Pacific Visualization 2011, pp. 9-10, March, 2011. |
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Chongke Bi, Shigeo Takahashi, Haruhisa Ishida, and Issei Fujishiro, “Interpolating 3D Diffusion Tensors Through Optimizing Rotational Transformations of Anisotropic Features,” in Poster Proceedings of IEEE Pacific Visualization 2010, pp. 3-4, March, 2010. Best Poster Award. |
Domestic Conference Paper (in Chinese)
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Chongke Bi, Caiming Zhang, “An Interpolation Algorithm for CT Data,” in Proceedings of China Graph’ 2007, pp. 371-374, August, 2007. |
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Chongke Bi, Caiming Zhang, Xingqiang Yang, “Construct Six-parameter Interpolation Triangular Patches by Quadric Polynomial,” in Proceedings of China Graph’ 2006, pp. 111-115, June, 2006. |
Books in Chapters (in Chinese)
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Ce Yu et. al，“Structured Parallel Computing”, China Machine Press, ISBN: 9787111600640, 2018. |
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Caiming Zhang et. al，”Computer Graphics (Version 2)”, Science Press, ISBN:9787030230775, 7030230779, 2008. |
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Caiming Zhang et. al, “Concise Guide to Computer Graphics (in Chinese),”, High Education Press, ISBN: 9787040196481, 2006. |
Patents
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“一种并行绘制中关于图像合成的方法,” 202010766968.0, 2020 |
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“基于模拟退火的车载远程云分布方法,” 202010388230.5, 2020 |
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“一种基于机器学习的疏散路径推荐方法,” 201911072786.7, 2019 |
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“一种基于超级计算机的大规模流体仿真的原位可视化方法,” 201911073282.7, 2019 |
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“基于局部特征的人脑神经纤维追踪方法,” 201911043684.2, 2019 |
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“一种基于动态模式分解的视频镜头检测方法,” 201810049786.4, 2018（授权） |
Others
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Chongke Bi, Min Hou, Meng Zhang, Xiaoxuan Dong, “Katherine Yelick: More Data, More Science, … and Moore’s Law,” CCF, 2018 |