Publications

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Recent Publications Highlight

Journal Publications

  1. Bingwei Chen, Haohuan Fu*, Wayne Luk, Guangwen Yang, “A fully-customized dataflow engine for 3D earthquake simulation with a complex topography”, Information Sciences, Vol. 65, no. 152103, pp. 1-152103, 2022.
  3. Ping Gao, Xiaohui Duan, Jiaxu Guo, Jin Wang, Zhenya Song, Lizhen Cui, Xiangxu Meng, Xin Liu, Wusheng Zhang, Ming Ma, Guohui Li, Dexun Chen, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang, “LMFF: efficient and scalable layered materials force field on heterogeneous many-core processors”, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-14, 2021.
  5. Yong Liu, Xin Liu, Fang Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao, Zhen Wang, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, Dexun Chen, “Closing the “quantum supremacy” gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer”, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp, 1-12, 2021 (2021 ACM Gordon Bell Prize).
  7. Yanwen Wei, Yunyue Elita Li, Jingjing Zong, Jizhong Yang, Haohuan Fu, Mengyao Sun, “Deep learning-based P-and S-wave separation for multi-component Vertical Seismic Profiling”, IEEE Transactions on Geoscience and Remote Sensing, 2021.
  9. Xiaoxuan Liu, Juepeng Zheng, Le Yu, Pengyu Hao, Bin Chen, Qinchuan Xin, Haohuan Fu, Peng Gong, “Annual dynamic dataset of global cropping intensity from 2001 to 2019”, Scientific data, Vol. 8, no. 1, pp. 1-9, 2021.
  11. Chang-Feng Chen, Wen Shi, Jing Yang, HaoHuan Fu, “Social bots’ role in climate change discussion on Twitter: Measuring standpoints, topics, and interaction strategies”, Advances in Climate Change Research, 2021.
  13. Yuxuan Li, Lin Gan, Mingcheng Chen, Yaojian Chen, Haitian Lu, Chaoyang Lu, Jianwei Pan, Haohuan Fu, Guangwen Yang, “Benchmarking 50-photon gaussian boson sampling on the sunway taihulight”, IEEE Transac- tions on Parallel and Distributed Systems, Vol. 33, no. 6, pp. 1357-1372, 2021.
  15. Wei Xue, Haohuan Fu, Weile Jia, Guangming Tan, “Editorial for the special issue on large-scale AI in classical HPC environment and AI for science”, CCF Transactions on High Performance Computing, Vol.3, no. 3, pp. 221-223, 2021.
  17. Juepeng Zheng, Wenzhao Wu, Shuai Yuan, Yi Zhao, Weijia Li, Lixian Zhang, Runmin Dong, Haohuan Fu*, “A Two-Stage Adaptation Network (TSAN) for Remote Sensing Scene Classification in Single-Source-Mixed- Multiple-Target Domain Adaptation (S²M²T DA) Scenarios”, IEEE Transactions on Geoscience and Remote Sensing, 2021.
  19. Zhehao Ren, Lixian Zhang, Bin Chen, Haohuan Fu, Bing Xu, “Sectoral Energy-Consumption Estimation by Unmixed Nighttime Light in Shanghai, China”, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 6948-6951, 2021.
  21. Ping Gao, Xiaohui Duan, Bertil Schmidt, Wusheng Zhang, Lin Gan, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang, “Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions”, IEEE Transactions on Parallel and Distributed Systems, 2021.
  23. Lin Gan, Haohuan Fu, Guangwen Yang, “Translating novel HPC techniques into efficient geoscience solutions”, Journal of Computational Science, Vol. 52, pp. 101212, 2021.
  25. Runmin Dong, Weizhen Fang, Haohuan Fu*, Lin Gan, Jie Wang, Peng Gong, “High-Resolution Land Cover Mapping Through Learning With Noise Correction”, IEEE Transactions on Geoscience and Remote Sensing, 2021.
  27. Juepeng Zheng, Wenzhao Wu, Shuai Yuan, Haohuan Fu*, Weijia Li, Le Yu, “Multisource-Domain Generalization- Based Oil Palm Tree Detection Using Very-High-Resolution (VHR) Satellite Images”, IEEE Geoscience and Remote Sensing Letters, 2021.
  29. Yuxuan Li, Xiaohui Duan, Lin Gan, Wubin Wan, Yuhu Chen, Kai Xu, Jinzhe Yang, Weiguo Liu, Wei Xue, Haohuan Fu, Guangwen Yang, “Enabling Large-scale Simulation of CAM on the Sunway TaihuLight Supercomputer”, IEEE Transactions on Computers, 2021.
  31. Juepeng Zheng, Haohuan Fu, Weijia Li, Wenzhao Wu, Le Yu, Shuai Yuan, Wai Yuk William Tao, Tan Kian Pang, Kasturi Devi Kanniah, “Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images”, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 173, pp. 95-121, 2021.
  33. Runmin Dong, Lixian Zhang, Haohuan Fu*, “RRSGAN: Reference-Based Super-Resolution for Remote Sensing Image”, IEEE Transactions on Geoscience and Remote Sensing, 2021.
  35. Lixian Zhang, Runmin Dong, Shuai Yuan, Weijia Li, Juepeng Zheng, Haohuan Fu*. “Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction”, Remote Sensing, Vol. 13, no. 15, pp. 2872, 2021.
  37. Ping Chang, Shaoqing Zhang, Gokhan Danabasoglu, Stephen G Yeager, Haohuan Fu, et al., “An unprecedented set of high-resolution earth system simulations for understanding multiscale interactions in climate variability and change”, Journal of Advances in Modeling Earth Systems, Vol. 12, no. 12, pp. e2020MS002298, 2020.
  39. Xiaohui Duan, Ping Gao, Meng Zhang, Tingjian Zhang, Hongsong Meng, Yuxuan Li, Bertil Schmidt, Haohuan Fu, Lin Gan, Wei Xue, Weiguo Liu, Guangwen Yang, “Cell-list based molecular dynamics on many-core processors: a case study on sunway TaihuLight supercomputer”, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-12, 2020.
  41. Jizhong Yang, Yunyue Elita Li, Yuzhu Liu, Yanwen Wei, Haohuan Fu, “Mitigating the cycle-skipping of full- waveform inversion by random gradient sampling”, Geophysics, Vol. 85, no. 6, pp. R493-R507, 2020.
  43. Masaki Iwasawa, Daisuke Namekata, Ryo Sakamoto, Takashi Nakamura, Yasuyuki Kimura, Keigo Nitadori, Long Wang, Miyuki Tsubouchi, Jun Makino, Zhao Liu, Haohuan Fu, Guangwen Yang, “Implementation and performance of Barnes-hut n-body algorithm on extreme-scale heterogeneous many-core architectures”, The International Journal of High Performance Computing Applications, Vol. 34, no. 6, pp. 615-628, 2020.
  45. Huiyu Zhu, Mengyao Sun, Haohuan Fu, Nianmao Du, Jie Zhang, “Training a Seismogram Discriminator Based on ResNet”, IEEE Transactions on Geoscience and Remote Sensing, 2020.
  47. Shaoqing Zhang, Haohuan Fu, Lixin Wu, et al., “Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform”, Geoscientific Model Development, Vol. 13, no. 10, pp. 4809-4829, 2020.
  49. Juepeng Zheng, Haohuan Fu, Weijia Li, Wenzhao Wu, Yi Zhao, Runmin Dong, Le Yu, “Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network”, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 167, pp. 154-177, 2020.
  51. Yanluan Lin, Xiaomeng Huang, Yishuang Liang, Yi Qin, Shiming Xu, Wenyu Huang, Fanghua Xu, Li Liu, Yong Wang, Yiran Peng, Lanning Wang, Wei Xue, Haohuan Fu, et al., “Community Integrated Earth System Model (CIESM): Description and Evaluation”, Journal of Advances in Modeling Earth Systems, Vol. 12, no. 8, pp. e2019MS002036, 2020.
  53. Ping Gao, Xiaohui Duan, Tingjian Zhang, Meng Zhang, Bertil Schmidt, Xun Zhang, Hongliang Sun, Wusheng Zhang, Lin Gan, Wei Xue, Haohuan Fu, Weiguo Liu, Guangwen Yang“Millimeter-scale and billion-atom reac- tive force field simulation on Sunway Taihulight”, IEEE Transactions on Parallel and Distributed Systems, Vol. 31, no. 12, pp. 2954-2967, 2020.
  55. Haohuan Fu, Wei Xue, Guangming Tan, Xiaowen Xu“Editorial for the special issue on HPC algorithms and applications”, CCF Transactions on High Performance Computing, Vol. 2, pp. 81-83, 2020.
  57. Xiaohui Duan, Meng Zhang, Weiguo Liu, Haohuan Fu, Lin Gan, Wei Xue, Guangwen Yang, “Tuning a general purpose software cache library for TaihuLight’s SW26010 processor”, CCF Transactions on High Performance Computing, Vol. 2, pp. 164-182, 2020.
  59. Wenzhao Wu, Juepeng Zheng, Weijia Li, Haohuan Fu, Shuai Yuan, Le Yu, “Domain adversarial neural network- based oil palm detection using high-resolution satellite images”, Automatic Target Recognition XXX, Vol. 11394, pp. 1139406, 2020.
  61. Shuai Yuan, Runmin Dong, Juepeng Zheng, Wenzhao Wu, Lixian Zhang, Weijia Li,Haohuan Fu, “Long time-series analysis of urban development based on exective building extraction”, Geospatial Informatics X, Vol. 11398, pp. 113980M, 2020.
  63. Liandeng Li, Jiarui Fang, Jinlei Jiang, Lin Gan, Weijie Zheng, Haohuan Fu, Guangwen Yang, “Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach”, Journal of Parallel and Dis-tributed Computing, Vol. 138, pp. 178-189, 2020.
  65. Runmin Dong, Haohuan Fu, “How to improve 3-m resolution land cover mapping from imperfect 10-m resolu-tion land cover mapping product?”, EGU2020, Vol. EGU2020-3814, 2020.
  67. Runmin Dong, Weijia Li, Haohuan Fu, Lin Gan, Le Yu, Juepeng Zheng, Maocai Xia, “Oil palm plantation mapping from high-resolution remote sensing images using deep learning”, International Journal of Remote Sensing, Vol. 41, no. 5, pp. 2022-2046, 2020.
  69. Shaoqing Zhang, Haohuan Fu, Lixin Wu, et al., “Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform (CESM-HR sw1.0)”, Geoscientific Model Development Discussions, Vol. 2020, pp. 1-38, 2020.
  71. Xiaohui Duan, Ping Gao, Meng Zhang, Tingjian Zhang, Hongsong Meng, Yuxuan Li, Bertil Schmidt, Haohuan Fu, Lin Gan, Wei Xue, Guangwen Yang, Weiguo Liu, “Neighbor-list-free molecular dynamics on sunway taihulight supercomputer”, Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 413-414, 2020.
  73. Weijia Li, Runmin Dong, Haohuan Fu, Jie Wang, Le Yu, Peng Gong“Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping”, Remote Sensing of Environment, Vol. 237, pp. 111563, 2020.
  75. Xiaohui Duan, Ping Gao, Meng Zhang, Tingjian Zhang, Hongsong Meng, Yuxuan Li, Bertil Schmidt, Haohuan Fu, “POSTER: Neighbor-list-free Molecular Dynamics on Sunway TaihuLight Supercomputer”, 2020.
  77. Wenzhao Wu, Juepeng Zheng, Haohuan Fu, Weijia Li, Le Yu, “Cross-regional oil palm tree detection”, Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 56-57, 2020.
  79. Runmin Dong, Cong Li, Haohuan Fu, Jie Wang, Weijia Li, Yi Yao, Lin Gan, Le Yu, Peng Gong. “Improving 3-m resolution land cover mapping through efficient learning from an imperfect 10-m resolution map”, Remote Sensing, Vol. 12, no. 9, pp. 1418, 2020.
  81. Wen Shi, Haohuan Fu, Peinan Wang, Changfeng Chen, Jie Xiong“# Climatechange vs.# Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses”, International journal of environmental research and public health, Vol. 17, no. 3, pp. 1062, 2020.
  83. Gokhan Danabasoglu, Ping Chang, Shaoqing Zhang, Lixin Wu, Haohuan Fu, et al., “International Laboratory for High-Resolution Earth System Prediction (iHESP): An Unprecedented Set of High-Resolution Simulations”, AGU Fall Meeting Abstracts, Vol. 2019, pp. A13F-06, 2019.
  85. Teng Yu, Wenlai Zhao, Pan Liu, Vladimir Janjic, Xiaohan Yan, Shicai Wang, Haohuan Fu, Guangwen Yang, John Thomson, “Large-Scale Automatic K-Means Clustering for Heterogeneous Many-Core Supercomputer”, IEEE Transactions on Parallel and Distributed Systems, Vol. 31, no. 5, pp. 997-1008, 2019.
  87. Liang Qiao, Hongkun Yu, Kunpeng Wang, Ruixin Sun, Wenlai Zhao, Haohuan Fu, Guangwen Yang, “Large- scale Parallel Design for Cryo-EM Structure Determination on Heterogeneous Many-core Architectures”, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 711-716, 2019.
  89. Tingjian Zhang, Yuxuan Li, Ping Gao, Qi Shao, Mingshan Shao, Meng Zhang, Jinxiao Zhang, Xiaohui Duan, Zhao Liu, Lin Gan, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang, “SW GROMACS: accelerate GRO- MACS on Sunway TaihuLight”, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-14, 2019.
  91. Wenqiang Zhang, Zhenguo Zhang, Haohuan Fu, Zhengbo Li, Xiaofei Chen, “Importance of spatial resolution in ground motion simulations with 3-D basins: An example using the Tangshan earthquake”, Geophysical Research Letters, Vol. 46, no. 21, 11915-11924, 2019.
  93. Jiarui Fang, Haohuan Fu, Guangwen Yang, Cho-Jui Hsien, “RedSync: reducing synchronization bandwidth for distributed deep learning training system”, Journal of Parallel and Distributed Computing, Vol. 133, pp. 33-39, 2019.
  95. Nan Ding, Wei Xue, Zhenya Song, Haohuan Fu, Shiming Xu, Weimin Zheng, “An automatic performance model-based scheduling tool for coupled climate system models”, Journal of Parallel and Distributed Computing, Vol. 132, pp. 204-216, 2019.
  97. Mengyao Sun, Huiyu Zhu, Jie Zhang, Haohuan Fu, Xiao Tian, “Ground Motion from 1.5 to 3.9 Aftershocks of the 2014 6.2 Jinggu Earthquake at Hypocentral Distances ¡45 km in Yunnan, China”, Seismological Research Letters, Vol. 90, no. 5, pp. 1876-1888, 2019.
  99. Wei Gao, Jiarui Fang, Wenlai Zhao, Jinzhe Yang, Long Wang, Lin Gan, Haohuan Fu, Guangwen Yang, “swATOP: Automatically Optimizing Deep Learning Operators on SW26010 Many-Core Processor”, Proceedings of the 48th International Conference on Parallel Processing, pp. 1-10, 2019.
  101. Juepeng Zheng, Weijia Li, Maocai Xia, Runmin Dong, Haohuan Fu, Shuai Yuan, “Large-scale oil palm tree detection from high-resolution remote sensing images using faster-rcnn”, IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 1422-1425, 2019.
  103. Jingheng Xu, Haohuan Fu, Wayne Luk, Lin Gan, Wen Shi, Wei Xue, Chao Yang, Yong Jiang, Conghui He, Guangwen Yang, “Optimizing finite volume method solvers on Nvidia GPUs”, IEEE Transactions on Parallel and Distributed Systems, Vol. 30, no. 12, pp. 2790-2805, 2019.
  105. Kunpeng Wang, Shizhen Xu, Haohuan Fu, Hongkun Yu, Wenlai Zhao, Guangwen Yang, “Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model”, Proceedings of the ACM International Conference on Supercomputing, pp. 13-23, 2019.
  107. Ouyi Li, Wenlai Zhao, Xuancheng Huang, Yushu Chen, Lin Gan, Hongkun Yu, Jiacheng Zhang, Yang Liu, Haohuan Fu, Guangwen Yang, “Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer”, International Conference on Computational Science, pp. 427-440, 2019.
  109. Zhao Liu, XueSen Chu, Xiaojing Lv, Hongsong Meng, Shupeng Shi, Wenji Han, Jingheng Xu, Haohuan Fu, Guangwen Yang, “Sunwaylb: Enabling extreme-scale lattice boltzmann method based computing fluid dynamics simulations on sunway taihulight”, 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 557-566, 2019.
  111. Lin Gan, Jingheng Xu, Xin Wang, Sihai Wu, Xiaohui Duan, Yuxuan Li, Haohuan Fu, Guangwen Yang, “Million-core-scalable simulation of the elastic migration Algorithm on Sunway TaihuLight Supercomputer”, 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 62-69, 2019.
  113. Maocai Xia, Weijia Li, Haohuan Fu, Le Yu, Runmin Dong, Juepeng Zheng, “Fast and robust detection of oil palm trees using high-resolution remote sensing images”, In Automatic Target Recognition XXIX, International Society for Optics and Photonics, Vol. 10988, pp. 109880C, 2019.
  115. Runmin Dong, Weijia Li, Haohuan Fu, Maocai Xia, Juepeng Zheng, Le Yu, “Semantic segmentation based large-scale oil palm plantation detection using high-resolution satellite images”, Automatic Target Recognition XXIX, Vol. 10988, pp. 109880D, 2019.
  117. Haohuan Fu, Bingwei Chen, Wenqiang Zhang, Zhenguo Zhang, Wei Zhang, Guangwen Yang, Xiaofei Chen, “Extreme-scale earthquake simulations on Sunway TaihuLight”, CCF Transactions on High Performance Computing, Vol. 1, no. 1, pp. 14-24, 2019.
  119. ChaoQing Yu, Xiao Huang, Han Chen, H Charles J Godfray, Jonathon S Wright, Jim W Hall, Peng Gong, ShaoQiang Ni, ShengChao Qiao, GuoRui Huang, YuChen Xiao, Jie Zhang, Zhao Feng, XiaoTang Ju, Philippe Ciais, Nils Chr Stenseth, Dag O Hessen, ZhanLi Sun, Le Yu, WenJia Cai,Haohuan Fu, XiaoMeng Huang, Chi Zhang, HongBin Liu, James Taylor, “Managing nitrogen to restore water quality in China”, Nature, Vol. 567, no. 7749, pp. 516-520, 2019.
  121. Jizhong Yang, Yunyue Elita Li, Yanwen Wei, Haohuan Fu, Yuzhu Liu, “Full-waveform inversion with random- ized space shift”, The Leading Edge, Vol. 38, no. 3, 197-203, 2019.
  123. Kunpeng Wang, Shizhen Xu, Hongkun Yu, Haohuan Fu, Guangwen Yang, “GPU-based 3D cryo-EM reconstruction with key-value streams: poster”, Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming, pp. 421-422 2019.
  125. Weijia Li, Conghui He, Haohuan Fu, Juepeng Zheng, Runmin Dong, Maocai Xia, Le Yu, Wayne Luk, “A real-time tree crown detection approach for large-scale remote sensing images on FPGAs”, Remote Sensing, Vol. 11, no.9, pp. 1025, 2019.
  127. Wen Shi, Changfeng Chen, Jie Xiong, Haohuan Fu, “What framework promotes saliency of climate change issues on online public Agenda: A quantitative study of online knowledge community Quora”, Sustainability, Vol. 11, no. 6, pp. 1619, 2019.
  129. B Chen, B Xu, Z Zhu, C Yuan, H Ping Suen, J Guo, N Xu, W Li, Y Zhao, J Yang, C Yu, X Wang, Haohuan Fu, et al., “Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017”, Sci. Bull, Vol. 67, pp. 370-373, 2019.
  131. Jiarui Fang, Liandeng Li, Haohuan Fu, Jinlei Jiang, Wenlai Zhao, Conghui He, Xin You, Guangwen Yang, “swCa↵e: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight”, 2018 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, pp. 413-422, 2018.
  133. Weijia Li, Conghui He, Jiarui Fang, Juepeng Zheng, Haohuan Fu, Le Yu, “Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data”, Remote Sensing, Vol. 11, no. 4, pp. 403, 2018.
  135. Weijia Li, Runmin Dong, Haohuan Fu, Le Yu“Large-scale oil palm tree detection from high-resolution satellite images using two-stage convolutional neural networks”, Remote Sensing, Vol. 11, no. 1, pp. 11, 2018.
  137. Weijia Li, Maocai Xia, Haohuan Fu, Le Yu, “A deep learning based end-to-end oil palm tree detection approach using large-scale high-resolution UAV images”, AGU Fall Meeting Abstracts, 2018.
  139. Xin Wang, Lin Gan, Jingheng Xu, Jinzhe Yang, Maocai Xia, Haohuan Fu, Xiaomeng Huang, Guangwen Yang, “PLZMA: a parallel data compression method for cloud computing”, International Conference on Algorithms and Architectures for Parallel Processing, pp. 504-518, 2018.
  141. Xiaohui Duan, Ping Gao, Tingjian Zhang, Meng Zhang, Weiguo Liu, Wusheng Zhang, Wei Xue, Haohuan Fu, Lin Gan, Dexun Chen, Xiangxu Meng, Guangwen Yang, “Redesigning LAMMPS for peta-scale and hundred- billion-atom simulation on Sunway TaihuLight”, SC18: International conference for high performance computing, networking, storage and analysis, pp. 148-159, 2018.
  143. Bingwei Chen, Haohuan Fu, Yanwen Wei, Conghui He, Wenqiang Zhang, Yuxuan Li, Wubin Wan, Wei Zhang, Lin Gan, Zhenguo Zhang, Guangwen Yang, Xiaofei Chen, “Simulating the Wenchuan earthquake with accurate surface topography on Sunway TaihuLight”, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 517-528, 2018.
  145. Liandeng Li, Teng Yu, Wenlai Zhao, Haohuan Fu, Chenyu Wang, Li Tan, Guangwen Yang, John Thomson“Large-scale hierarchical k-means for heterogeneous many-core supercomputers”, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 160-170, 2018.
  146. P84 Jizhong Yang, Yunyue Elita Li, Yanwen Wei, Haohuan Fu, Yuzhu Liu: “Full-waveform inversion based on gradient sampling algorithm with randomized space shift”, 2018 SEG International Exposition and Annual Meeting, 2018.
  148. Jingheng Xu,Haohuan Fu, Wen Shi, Lin Gan, Yuxuan Li, Wayne Luk, Guangwen Yang, “Performance tuning and analysis for stencil-based applications on POWER8 processor”, ACM Transactions on Architecture and Code Optimization (TACO), Vol. 15, no. 4, pp. 1-25, 2018.
  150. Guangwen Yang, Haohuan Fu, “Application software beyond exascale: challenges and possible trends”, Fron- tiers of Information Technology Electronic Engineering, vol. 19, no. 10, pp. 1267-1272, 2018.
  152. Liandeng Li, Jiarui Fang, Haohuan Fu, Jinlei Jiang, Wenlai Zhao, Conghui He, Xin You, Guangwen Yang, “swca↵e: A parallel framework for accelerating deep learning applications on sunway taihulight”, 2018 IEEE International Conference on Cluster Computing (CLUSTER), pp. 413-422, 2018.
  154. Xinliang Wang, Ping Xu, Wei Xue, Yulong Ao, Chao Yang, Haohuan Fu, Lin Gan, Guangwen Yang, Weimin Zheng, “A fast sparse triangular solver for structured-grid problems on sunway many-core processor SW26010”, in Proceedings of the 47th International Conference on Parallel Processing, pp. 1-11, 2018.
  156. Geng Chen, Lei Zhao, Wenhua Yu, Hu Ren, Haohuan Fu, “A novel acceleration method for DGTD algorithm on sunway TaihuLight”, 2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP), pp. 153- 154, 2018.
  158. Masaki Iwasawa, Long Wang, Keigo Nitadori, Daisuke Namekata, Takayuki Muranushi, Miyuki Tsubouchi, Junichiro Makino, Zhao Liu, Haohuan Fu, Guangwen Yang, “Global simulation of planetary rings on Sunway TaihuLight”, International Conference on Computational Science, pp. 483-495, 2018.
  160. Wenlai Zhao, Haohuan Fu, Jiarui Fang, Weijie Zheng, Lin Gan, Guangwen Yang, “Optimizing convolutional neural networks on the sunway taihulight supercomputer”, ACM Transactions on Architecture and Code Opti- mization (TACO), Vol. 15, no. 1, pp. 1-26, 2018.
  162. Weijia Li, Conghui He, Jiarui Fang, Haohuan Fu, “Semantic segmentation based building extraction method using multi-source gis map datasets and satellite imagery”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.238-241, 2018.
  164. Yongbing Zhao, Chen Sun, Dongyu Zhao, Yadong Zhang, Yang You, Ximiao Jia, Junhui Yang, Lingping Wang, Jinyue Wang, Haohuan Fu, et al., “PGAP-X: extension on pan-genome analysis pipeline”, BMC genomics, Vol. 19, no. 1, pp. 115-124, 2018.
  166. Haohuan Fu, Conghui He, Bingwei Chen, Zekun Yin, et al., “18.9-Pflops Nonlinear Earthquake Simulation on Sunway TaihuLight: Enabling Depiction of 18-Hz and 8-Meter Scenarios”, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), 12 pages, 2017 (2017 ACM Gordon Bell Prize).
  168. Haohuan Fu, Junfeng Liao, Nan Ding, et al., “Redesigning CAM-SE for Peta-Scale Climate Modeling Perfor- mance and Ultra-High Resolution on Sunway TaihuLight”, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), 12 pages, 2017 (ACM Gordon Bell finalist, one out of the three in the world).
  170. Lin Gan, Haohuan Fu, Oskar Mencer, Wayne Luk, and Guangwen Yang, “Chapter Four - Data Flow Computing in Geoscience Applications”, Editor(s): Ali R. Hurson, Veljko Milutinovi´c, In Advances in Computers, Elsevier, Volume 104, 2017, Pages 125-158, ISSN 0065-2458, ISBN 9780128119556.
  172. Conghui He,Haohuan Fu, Wayne Luk, Weijia Li, and Guangwen Yang, “Exploring the potential of reconfig- urable platforms for order book update”, in Proceedings of the 27th IEEE International Conference on Field Programmable Logic and Applications (FPL), pp. 1-8, 2017.
  174. Weijia Li, Haohuan Fu, Yang You, et al., “Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and Many-Core Architectures”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, June 2017, DOI: 10.1109/JSTARS.2017.2713126.
  176. Conghui He, Haohuan Fu, Ce Guo, Wayne Luk, and Guangwen Yang, “A Fully-Pipelined Hardware Design for Gaussian Mixture Models”, IEEE Transactions on Computers, 66.11 (2017): 1837-1850.
  178. Lin Gan, Haohuan Fu, Wayne Luk, Chao Yang, and Wei Xue, “Solving Mesoscale Atmospheric Dynamics Using a Reconfigurable Dataflow Architecture”, IEEE Micro 37.4 (2017): 40-50.
  180. Conghui He, Haohuan Fu, Yi Shen, Robert G. Clapp, and Guangwen Yang, “Approximating Q Propagations for Elastic Modeling on GPUs”, In 79th EAGE Conference and Exhibition 2017.
  182. Yulong Ao, Chao Yang, Xinliang Wang, Wei Xue, Haohuan Fu, et al., “26 PFLOPS Stencil Computations for Atmospheric Modeling on Sunway TaihuLight”, in Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 535-544, May, 2017.
  184. Jiarui Fang, Haohuan Fu, Wenlai Zhao, Bingwei Chen, Weijie Zheng, and Guangwen Yang, “swDNN: A Li- brary for Accelerating Deep Learning Applications on Sunway TaihuLight”, in Proceedings of the IEEE Inter- national Parallel and Distributed Processing Symposium (IPDPS), pp. 615-624, May, 2017.
  186. Haohuan Fu, Conghui He, Wayne Luk, Weijia Li, and Guangwen Yang, “A Nanosecond–Level Hybrid Table Design for Financial Market Data Generators”, in Proceedings of the IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 227-234, April, 2017.
  188. Haohuan Fu, Lin Gan, Chao Yang*, Wei Xue, Lanning Wang, Xinliang Wang, Xiaomeng Huang, Guangwen Yang, “Solving global shallow water equations on heterogeneous supercomputers”, PLoS ONE 12(3):e0172583, March 2017.
  190. Weijia Li, Haohuan Fu, Le Yu, and Arthur Cracknell, “Deep learning based oil palm tree detection and counting for high-resolution remote sensing images”, Remote Sensing, 9(1):22, January 2017.
  192. Yingsheng Ji, Yushu Chen, Haohuan Fu, et al. “An EnKF-based scheme to optimize hyper-parameters and features for SVM classifier”, Pattern Recognition, 2017, 62: 202-213.
  194. You Yang, Haohuan Fu, David Bader, Guangwen Yang, “Designing and implementing a heuristic cross- architecture combination for graph traversal”, Volume 108, 2017, Pages 95-105, ISSN 0743-7315.
  196. Evan Schankee Um, Seung-Sep Kim, Haohuan Fu, “A Tetrahedral Mesh Generation Approach for 3D Marine Controlled-Source Electromagnetic Modeling”, Computers & Geosciences, vol. 100, pp. 1-9, 2017.
  198. Le Yu, Xuecao Li, Congcong Li, Yuanyuan Zhao, Zhenguo Niu, Huabing Huang, Jie Wang, Yuqi Cheng, Hui Lu, Yali Si, Chaoqing Yu, Haohuan Fu, and Peng Gong, “Using a global reference sample set and a cropland map for area estimation in China”, Science China Earth Sciences, vol. 60, no. 2, pp. 277-285, 2017.
  200. Haohuan Fu*, Bingwei Chen, “Ensemble source encoding full-waveform inversion with self-adaptive regular- ization”, 2016 SEG International Exposition and Annual Meeting. OnePetro, 2016.
  202. Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, et al., “Refactoring and Optimizing the Community Atmosphere Model (CAM) on the Sunway TaihuLight Supercomputer”, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC16), pp. 969-980, Salt Lake City, Utah, US, 2016.
  204. Yang Chao*, Xue Wei*, Haohuan Fu, Hongtao You, et al., “10M-Core scalable fully-implicit solver for non- hydrostatic atmospheric dynamics”, in Proceedings of the International Conference for High Performance Com- puting, Networking, Storage and Analysis (SC16), pp. 57-68, Salt Lake City, Utah, US, 2016 (ACM Gordon Bell Prize).
  206. Weijie Zheng, Haohuan Fu and Guangwen Yang, “TADE: Tight Adaptive Di↵erential Evolution”, in Pro- ceedings of the 14th International Conference on Parallel Problem Solving from Nature(PPSN), pp. 113-122, Edinburgh, Scotland, UK, 2016.
  208. Wenlai Zhao, Haohuan Fu, Wayne Luk, et al., “F-CNN: An FPGA-based Framework for Training Convolutional Neural Networks”, in Proceedings of the 27th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 107-114, London, UK, 2016.
  210. Jingheng Xu, Haohuan Fu, Lin Gan, Yu Song, et al., “Evaluating the POWER8 Architecture Through Opti- mizing Stencil-Based Algorithms”, in Proceedings of the 14th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 1374-1381, Tianjin, China, 2016.
  212. Jingheng Xu, Haohuan Fu, Lin Gan, Chao Yang, Wei Xue, Shizhen Xu, Lin Gan, Xinliang Wang, Lin Gan, and Guangwen Yang, “Generalized GPU Acceleration for Applications Employing Finite-Volume Methods”, in Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing(CCGrid), pp. 126-135, Cartagena, Colombia, 2016.


Meeting Articles

  1. Yanwen Wei, Yunyue Elita Li, Haohuan Fu, “Building training data set for deep learning-based P-and S-wave separation: Field data case”, SEG/AAPG/SEPM First International Meeting for Applied Geoscience Energy, 2021.
  3. Juepeng Zheng, Wenzhao Wu, Yi Zhao, Haohuan Fu, “Transresnet: Transferable Resnet For Domain Adapta- tion”, 2021 IEEE International Conference on Image Processing (ICIP), pp, 764-768, 2021.
  5. Lixian Zhang, Zhehao Ren, Runmin Dong, Bing Xu, Haohuan Fu, “Monitoring Daily Nighttime Light Based on Modis and Deep Learning: A Belgium Case Study” 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 5032-5035, 2021.
  7. Juepeng Zheng, Wenzhao Wu, Le Yu, Haohuan Fu, “Coconut Trees Detection on the Tenarunga Using High- Resolution Satellite Images and Deep Learning”, 2021 IEEE International Geoscience and Remote Sensing Sym- posium IGARSS, pp. 6512-6515, 2021.
  9. Runmin Dong, Lixian Zhang, Haohuan Fu, “Blind Super-Resolution on Remote Sensing Images with Blur Kernel Prediction”, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 2879- 2882, 2021.
  11. Yanwen Wei, Yunyue Elita Li, Jizhong Yang, Jingjing Zong, Jinwei Fang, Haohuan Fu, “Multi-task learning based P/S wave separation and reverse time migration for VSP”, SEG International Exposition and Annual Meeting, 2020.
  13. Juepeneg Zheng, Wenzhao Wu, Haohuan Fu, Weijia Li, Runmin Dong, Lixian Zhang, Shuai Yuan, “Unsuper- vised Mixed Multi-Target Domain Adaptation for Remote Sensing Images Classification”, IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 1381-1384, 2020.
  15. Mengyao Sun, Huiyu Zhu, Jie Zhang, Haohuan Fu, Xiao Tian, “Ground motion from small aftershocks of 2014 Mw 6.2 Jinggu earthquake at short hypocentral distances in Yunnan, China”, SEG Technical Program Expanded Abstracts 2019, pp. 3131-3135, 2019.
  17. Yanwen Wei, Haohuan Fu, Yunyue Elita Li, Jizhong Yang, “A new P-wave reconstruction method for VSP data using conditional generative adversarial network”, SEG Technical Program Expanded Abstracts 2019, pp. 2528-2532, 2019.
  19. Yanwen Wei, Mengyao Sun, Haohuan Fu, “Training an Inverse Operator on Shingling Seismic Data based on cGANs”, SEG 2018 Workshop: SEG Maximizing Asset Value Through Artificial Intelligence and Machine Learning, Beijing, China, 17-19 September 2018, pp. 1-4, 2018.
  21. Jiarui Fang, Haohuan Fu, and Guangwen Yang, “Cache-friendly Design for Complex Spatially-variable Coeffi- cient Stencils on Many-core Architectures”, in Proceedings of the IEEE 23rd International Conference on High Performance Computing, Data, and Analytics (HiPC), pp. 222-231, Hyderabad, India, 2016.
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