Publications

74. Chang, P., Zhang, S., Danabasoglu, G., Yeager, S. G., Fu, H., Wang, H., ... & Wu, L. (2020). 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, 12(12), e2020MS002298.
73. Zhang, S., Fu, H., Wu, L., Li, Y., Wang, H., Zeng, Y., ... & Guo, Y. (2020). Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform. Geoscientific Model Development, 13(10), 4809-4829.
72. Li, Y., Chen, M., Chen, Y., Lu, H., Gan, L., Lu, C., ...Fu, H., Yang, G. (2020). Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight. arXiv preprint arXiv:2009.01177.（preprint）
71. Gan, L., Fu, H., & Yang, G. (2020). Translating novel HPC techniques into efficient geoscience solutions. Journal of Computational Science, 101212.
70. Zheng, J., Fu, H., Li, W., Wu, W., Zhao, Y., Dong, R., & Yu, L. (2020). Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network. ISPRS Journal of Photogrammetry and Remote Sensing, 167, 154-177.
69. Yang, J., Li, Y. E., Liu, Y., Wei, Y., & Fu, H. (2020). Mitigating the cycle-skipping of full-waveform inversion by random gradient sampling. Geophysics, 85(6), R493-R507.
68. Lin, Y., Huang, X., Liang, Y., Qin, Y., Xu, S., Huang, W., ... & Gong, P. (2020). Community Integrated Earth System Model (CIESM): Description and Evaluation. Journal of Advances in Modeling Earth Systems, 12(8), e2019MS002036.
67. Iwasawa, M., Namekata, D., Sakamoto, R., Nakamura, T., Kimura, Y., Nitadori, K., ... & Yang, G. (2020). Implementation and performance of Barnes-hut n-body algorithm on extreme-scale heterogeneous many-core architectures. The International Journal of High Performance Computing Applications, 34(6), 615-628.
66. Gao, P., Duan, X., Zhang, T., Zhang, M., Schmidt, B., Zhang, X., ... & Yang, G. (2020). Millimeter-Scale and Billion-Atom Reactive Force Field Simulation on Sunway Taihulight. IEEE Transactions on Parallel and Distributed Systems, 31(12), 2954-2967.
65. Fu, H., Xue, W., Tan, G., & Xu, X. (2020). Editorial for the special issue on HPC algorithms and applications.
64. Duan, X., Zhang, M., Liu, W., Fu, H., Gan, L., Xue, W., & Yang, G. (2020). Tuning a general purpose software cache library for TaihuLight’s SW26010 processor. CCF Transactions on High Performance Computing, 2, 164-182.
63. Dong, R., Li, C., Fu, H., Wang, J., Li, W., Yao, Y., ... & Gong, P. (2020). Improving 3-m Resolution Land Cover Mapping through Efficient Learning from an Imperfect 10-m Resolution Map. Remote Sensing, 12(9), 1418.
62. Li, L., Fang, J., Jiang, J., Gan, L., Zheng, W., Fu, H., & Yang, G. (2020). Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach. Journal of Parallel and Distributed Computing, 138, 178-189.
61. Liu, H., Ren, H., Gu, H., Gao, F., & Yang, G. (2020). UNAT: UNstructured Acceleration Toolkit on SW26010 many-core processor. Engineering Computations.
60. Shi, W., Fu, H., Wang, P., Chen, C., & Xiong, J. (2020). Climatechange vs. Globalwarming: Characterizing Two Competing Climate Discourses on Twitter with Semantic Network and Temporal Analyses. International journal of environmental research and public health, 17(3), 1062.
59. Li, W., Dong, R., Fu, H., Wang, J., Yu, L., & Gong, P. (2020). Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping. Remote Sensing of Environment, 237, 111563.
58. Zhang, W., Zhang, Z., Fu, H., Li, Z., & Chen, X. (2019). Importance of spatial resolution in ground motion simulations with 3‐D basins: An example using the Tangshan earthquake. Geophysical Research Letters, 46(21), 11915-11924.
57. Liu, Z., Chu, X., Lv, X., Meng, H., Shi, S., Han, W., ... & Yang, G. (2019, May). Sunwaylb: Enabling extreme-scale lattice boltzmann method based computing fluid dynamics simulations on sunway taihulight. In 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (pp. 557-566). IEEE.
56. Fang, J., Fu, H., Yang, G., & Hsieh, C. J. (2019). RedSync: reducing synchronization bandwidth for distributed deep learning training system. Journal of Parallel and Distributed Computing, 133, 30-39.
55. Chen, B., Xu, B., Zhu, Z., Yuan, C., Suen, H. P., Guo, J., ... & Fu, H. (2019). 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. Bulletin, 64(6), 370-373.
54. Xu, J., Fu, H., Luk, W., Gan, L., Shi, W., Xue, W., ... & Yang, G. (2019). Optimizing finite volume method solvers on NVIDIA GPUS. IEEE Transactions on Parallel and Distributed Systems, 30(12), 2790-2805.
53. Dong, R., Li, W., Fu, H., Gan, L., Yu, L., Zheng, J., & Xia, M. (2020). Oil palm plantation mapping from high-resolution remote sensing images using deep learning. International Journal of Remote Sensing, 41(5), 2022-2046.
52. Sun, M., Zhu, H., Zhang, J., Fu, H., & Tian, X. (2019). Ground Motion from Mw 1.5 to 3.9 Aftershocks of the 2014 Mw 6.2 Jinggu Earthquake at Hypocentral Distances< 45 km in Yunnan, China. Seismological Research Letters, 90(5), 1876-1888.
51. Shi, W., Chen, C., Xiong, J., & Fu, H. (2019). What Framework Promotes Saliency of Climate Change Issues on Online Public Agenda: A Quantitative Study of Online Knowledge Community Quora. Sustainability, 11(6), 1619.
50. Fu, H., Chen, B., Zhang, W., Zhang, Z., Zhang, W., Yang, G., & Chen, X. (2019). Extreme-scale earthquake simulations on Sunway TaihuLight. CCF Transactions on High Performance Computing, 1(1), 14-24.
49. Li, W., He, C., Fu, H., Zheng, J., Dong, R., Xia, M., ... & Luk, W. (2019). A Real-Time Tree Crown Detection Approach for Large-Scale Remote Sensing Images on FPGAs. Remote Sensing, 11(9), 1025.
48. Li, W., Dong, R., Fu, H., & Yu, L. (2019). Large-scale oil palm tree detection from high-resolution satellite images using two-stage convolutional neural networks. Remote Sensing, 11(1), 11.
47. Li, W., He, C., Fang, J., Zheng, J., Fu, H., & Yu, L. (2019). Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data. Remote Sensing, 11(4), 403.
46. Yang, Jizhong and Li, Yunyue Elita and Wei, Yanwen and Fu, Haohuan and Liu, Yuzhu, Full-waveform inversion based on gradient sampling algorithm with randomized space shiftm, The Leading Edge 38 (3): 197-203, 2019.
45. Ding, N., Xue, W., Song, Z., Fu, H., Xu, S., & Zheng, W. (2019). An automatic performance model-based scheduling tool for coupled climate system models. Journal of Parallel and Distributed Computing, 132, 204-216.
44. Xu, Jingheng and Fu, Haohuan* and Shi, Wen and Gan, Lin and Li, Yuxuan and Luk, Wayne and Yang, Guangwen，Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor，ACM Transactions on Architecture and Code Optimization.
43. Zhao, W., Fu, H., Fang, J., Zheng, W., Gan, L., & Yang, G. (2018). Optimizing convolutional neural networks on the sunway taihulight supercomputer. ACM Transactions on Architecture and Code Optimization (TACO), 15(1), 1-26.
42. Lu, Y., Qian, D., Fu, H., & Chen, W. (2018). Will supercomputers be super-data and super-AI machines?. Communications of the ACM, 61(11), 82-87. 41. Yang, G., & Fu, H. (2018). Application software beyond exascale: challenges and possible trends. Frontiers of Information Technology & Electronic Engineering, 19(10), 1267-1272.
40. Gan, L., Fu, H., Mencer, O., Luk, W., & Yang, G. (2017). Data flow computing in geoscience applications. In Advances in Computers (Vol. 104, pp. 125-158). Elsevier.
39. He, C., Fu, H., Guo, C., Luk, W., & Yang, G. (2017). A fully-pipelined hardware design for gaussian mixture models. IEEE Transactions on Computers, 66(11), 1837-1850.
38. Gan, L., Fu, H., Luk, W., Yang, C., Xue, W., & Yang, G. (2017). Solving mesoscale atmospheric dynamics using a reconfigurable dataflow architecture. IEEE Micro, 37(4), 40-50.
37. Fu, H., Gan, L., Yang, C., Xue, W., Wang, L., Wang, X., ... & Yang, G. (2017). Solving global shallow water equations on heterogeneous supercomputers. PloS one, 12(3), e0172583.
36. Li, W., Fu, H., You, Y., Yu, L., & Fang, J. (2017). 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, 10(10), 4387-4398.
35. Li, W., Fu, H., Yu, L., & Cracknell, A. (2017). Deep learning based oil palm tree detection and counting for high-resolution remote sensing images. Remote Sensing, 9(1), 22.
34. Ji, Y., Chen, Y., Fu, H., & Yang, G. (2017). An EnKF-based scheme to optimize hyper-parameters and features for SVM classifier. Pattern Recognition, 62, 202-213.
33. Yu, L., Fu, H., Wu, B., Clinton, N., & Gong, P. (2016). Exploring the potential role of feature selection in global land-cover mapping. International Journal of Remote Sensing, 37(23), 5491-5504.
32. Le Yu, Xuecao Li, Congcong Li, Yuanyuan Zhao, Zhenguo Niu, Huabing Huang, Jie Wang, Yuqi Cheng, Hui Lu, Yali Si, Chaoqing Yu, Haohuan Fu, Peng Gong, “Using a global reference sample set and a cropland map for area estimation in China”, Science China Earth Sciences, December, 2016.
31. Li, W., Fu, H., Yu, L., Gong, P., Feng, D., Li, C., & Clinton, N. (2016). Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping. International journal of remote sensing, 37(23), 5632-5646.
30. Evan Schankee Um, Seung-Sep Kim, Haohuan Fu*, “A TETRAHEDRAL MESH GENERATION APPROACH FOR 3D MARINE CONTROLLED-SOURCE ELECTROMAGNETIC MODELING”, Computers & Geosciences, 2016.
29. Fu, H., Liao, J., Yang, J., Wang, L., Song, Z., Huang, X., ... & Yang, G. (2016). The Sunway TaihuLight supercomputer: system and applications. Science China Information Sciences, 59(7), 1-16.
28. Guo, L., Funie, A. I., Thomas, D. B., Fu, H., & Luk, W. (2016). Parallel genetic algorithms on multiple fpgas. ACM SIGARCH Computer Architecture News, 43(4), 86-93.
27. Huang, X., Ni, Y., Chen, D., Liu, S., Fu, H., & Yang, G. (2016). Czip: A Fast Lossless Compression Algorithm for Climate Data. International Journal of Parallel Programming, 44(6), 1248-1267(1-20).
26. You, Y., Fu, H., Bader, D., & Yang, G. (2017). Designing and implementing a heuristic cross-architecture combination for graph traversal. Journal of Parallel and Distributed Computing, 108, 95-105.
25. Fu, H., Wang, Y., Um, E. S., Fang, J., Wei, T., Huang, X., & Yang, G. (2015). A parallel finite-element time-domain method for transient electromagnetic simulation. Geophysics, 80(4), E213-E224.
24. Xu, S., Huang, X., Oey, L. Y., Xu, F., Fu, H., Zhang, Y., & Yang, G. (2015). POM. gpu-v1. 0: a GPU-based Princeton Ocean Model. Geoscientific Model Development, 8(9), 2815-2827.
23. Liu, S., Huang, X., Fu, H., Yang, G., & Song, Z. (2015). Data reduction analysis for climate data sets. International Journal of Parallel Programming, 43(3), 508-527.
22. You, Y., Fu, H., Song, S. L., Randles, A., Kerbyson, D., Marquez, A., ... & Hoisie, A. (2015). Scaling support vector machines on modern HPC platforms. Journal of Parallel and Distributed Computing, 76, 16-31.
21. Gan, L., Fu, H., Luk, W., Yang, C., Xue, W., Huang, X., ... & Yang, G. (2015). Solving the global atmospheric equations through heterogeneous reconfigurable platforms. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 8(2), 1-16.
20. Xue, W., Yang, C., Fu, H., Wang, X., Xu, Y., Liao, J., ... & Wang, L. (2014). Ultra-scalable CPU-MIC acceleration of mesoscale atmospheric modeling on Tianhe-2. IEEE Transactions on Computers, 64(8), 2382-2393.
19. Chen, Y., Song, G., Xue, Z., Jing, H., Fu, H., & Yang, G. (2014). An improved optimal nearly analytical discretized method for 2D scalar wave equation in heterogeneous media based on the modified nearly analytical discrete operatorMNAD method for 2D wave equation. Geophysics, 79(6), T349-T362.
18. Clinton, N., Yu, L., Fu, H., He, C., & Gong, P. (2014). Global-scale associations of vegetation phenology with rainfall and temperature at a high spatio-temporal resolution. Remote Sensing, 6(8), 7320-7338.
17. Huang, X., Wang, W., Fu, H., Yang, G., Wang, B., & Zhang, C. (2014). A fast input/output library for high-resolution climate models. Geoscientific Model Development, 7(1), 93-103.
16. You, Y., Fu, H., Song, S. L., Dehnavi, M. M., Gan, L., Huang, X., & Yang, G. (2014). Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax–Wendroff correction stencil. The International journal of high performance computing applications, 28(3), 301-318. 15. Fu, H., Gan, L., Clapp, R. G., Ruan, H., Pell, O., Mencer, O., ... & Yang, G. (2014). Scaling reverse time migration performance through reconfigurable dataflow engines. IEEE Micro, 34(1), 30-40.
14. Fu, H., Clapp, R. G., Lindtjorn, O., Wei, T., & Yang, G. (2012). Revisiting finite difference and spectral migration methods on diverse parallel architectures. Computers & Geosciences, 43, 187-196.
13. Lindtjorn, O., Clapp, R., Pell, O., Fu, H., Flynn, M., & Mencer, O. (2011). Beyond traditional microprocessors for geoscience high-performance computing applications. Ieee Micro, 31(2), 41-49.
12. Fu, H., Mencer, O., & Luk, W. (2010). FPGA designs with optimized logarithmic arithmetic. IEEE Transactions on Computers, 59(7), 1000-1006.
11. Clapp, R. G., Fu, H., & Lindtjorn, O. (2010). Selecting the right hardware for reverse time migration. The leading edge, 29(1), 48-58.
10. Lin, L., Fu, H., & Jia, W. (2008). An efficient admission control for IEEE 802.11 networks based on throughput analyses of (un) saturated channel. International Journal of Communication Systems, 21(7), 755-771.