2021 The National Science Fund for Distinguished Young Scholars

[1] Tao, F., Huang, Y., Hungate, B.A. ... , Huang, X(*), Luo YX(*). (2023). Microbial carbon use efficiency promotes global soil carbon storage. Nature. https://doi.org/10.1038/s41586-023-06042-3

[2] Wang, M., Wang, D., Xiang, Y., Liang, Y., Xia, R., Yang, J., ... & Huang, X(*). (2023). Fusion of ocean data from multiple sources using deep learning: Utilizing sea temperature as an example. Frontiers in Marine Science.

[3]   Chen, Y., Huang, X.(*), Luo, J. J., Lin, Y., Wright, J. S., Lu, Y., ... & Lin, P. (2023). Prediction of ENSO using multivariable deep learning. Atmospheric and Oceanic Science Letters, 100350.

[4] Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., ... & Huang, X(*). (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin.

[5] Zhang, B., Ma, M., Wang, M., Hong, D., Yu, L., Wang, J., ... & Huang, X.(*) (2022). Enhanced Resolution of FY4 Remote Sensing Visible Spectrum Images Utilizing Super-Resolution and Transfer Learning Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 7391-7399.

[6]   Huang, P., Chen, Q., Wang, D., Wang, M., Wu, X., & Huang, X.(*). (2022). TripleConvTransformer: A deep learning vessel trajectory prediction method fusing discretized meteorological data. Frontiers in Environmental Science, 1720.

[7] Chen, Q., Ding, W., Huang, X.(*), & Wang, H. (2022). Generalized interval type ii fuzzy rough model based feature discretization for mixed pixels. IEEE Transactions on Fuzzy Systems.

[8]   Liao, C., Huang, W., Wells, J., Zhao, R., Allen, K., Hou, E., …, Huang, X. & Luo, Y. (2022). Microbe-iron interactions control lignin decomposition in soil. Soil Biology and Biochemistry, 173, 108803.

[9] Liao, C., Chen, Y., Wang, J., Liang, Y., Huang, Y., Lin, Z., ... Huang, X. & Luo, Y. (2022). Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP). Ecological Processes, 11(1), 1-16.

[10] Lei Lin, Hao Liu, Xiaomeng Huang, Qingjun Fu, and Xinyu Guo. Effect of tides on river water behavior over the eastern shelf seas of China. Hydrol. Earth Syst. Sci., 26, 5207–5225, 2022

[11]   Jin, W., Luo, Y., Wu, T., Huang, X., Xue, W., & Yu, C. (2022). Deep Learning for Seasonal Precipitation Prediction over China. Journal of Meteorological Research, 36(2), 271-281.

[12] Tang, Q., Huang, X.(*), Lin, L., Xiong, W., Wang, D., Wang, M. and Huang, X.(2021). MERF v3.0, a highly computationally efficient non-hydrostatic ocean model with implicit parallelism: algorithms and validation experiments. Ocean Modelling. https://doi.org/10.1016/j.ocemod.2021.101877.

[13] Wang J.M., Li W., Ciais P., Li L., Chang J., Goll D., Gasser T., Huang X., Devaraju N., Bouche O. (2021). Global cooling induced by biophysical effects of bioenergy crop cultivation. Nature Communications. 12(1):7255. doi: 10.1038/s41467-021-27520-0.

[14] Huang X.(*), Lin Lin, Yuwen Chen, Yue Chen, Xing Huang, Mingqing Wang, Jonathon S. Wright.(2021).  Improving machine learning-based weather forecast post-processing with clustering and transfer learning. CLIVAR Exchanges (Special Issue: Advances in Climate Prediction Using Artificial Intelligence ). No.81, Nov. 2021 

[15] Hu J. , Tian C. , Ge B., Huang X.(*), Wu X.(*)(2021). A climate downscaling method based on deep back-projection neural network. CLIVAR Exchanges (Special Issue: Advances in Climate Prediction Using Artificial Intelligence ). No.81, Nov. 2021

[16] Li X., Zhang L., Wang J., Huang X., Zhong Q., Wu X.(2021). Forecasting of Time Series Significant Wave Height based on ConvLSTM. CLIVAR Exchanges (Special Issue: Advances in Climate Prediction Using Artificial Intelligence ). No.81, Nov. 2021

[17] Li L., Zhang H,, Wang J. , Huang X.(*), Zhong Q. , Wu X.(*). (2021). Forecasting Significant Wave Height based on Transformer. CLIVAR Exchanges (Special Issue: Advances in Climate Prediction Using Artificial Intelligence ). No.81, Nov. 2021

[18] Shi, P., Lu, H., Leung, L.R., He, Y., Wang, B., Yang, K., Yu, L., Liu, L., Huang, W., Xu, S. , Liu, J., Huang, X., Li, L. and Lin, Y.(2021). Significant land contributions to interannual predictability of East Asian summer monsoon rainfall. Earth's Future, 9(2), p.e2020EF001762.

[19] Dou, X., Liao, C., Wang, H., Huang, Y., Tu, Y., Huang, X., Peng, Y., Zhu, B., Tan, J., Deng, Z. and Wu, N.(2021). Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means. Advances in Applied Energy, 2, p.100017.

[20] Xiao, Q., Geng, G., Cheng, J., Liang, F., Li, R., Meng, X., Xue, T., Huang, X., Kan, H., Zhang, Q. and He, K.(2021). Evaluation of gap-filling approaches in satellite-based daily PM2. 5 prediction models. Atmospheric Environment, 244, p.117921.

[21] Tao, F., Huang, Y., Hungate, B. A., Lu, X., Hocking, T. D., Mishra, U., Hugelius, G., Huang, X., and Luo, Y.(2021). PROcess-guided deep learning and DAta-driven modelling (PRODA) uncovers key mechanisms underlying global soil carbon storage, 3rd ISMC Conference ─ Advances in Modeling Soil Systems, online, 18–22 May 2021, ISMC2021-10.

[22] Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K. and Zhang, Q. (2021). Separating emission and meteorological contributions to long-term PM 2.5 trends over eastern China during 2000–2018. Atmospheric Chemistry and Physics, 21(12), pp.9475-9496.

[23] Wang, J., Li, W., Ciais, P., Ballantyne, A., Goll, D., Huang, X., Zhao, Z. and Zhu, L.(2021). Changes in biomass turnover times in tropical forests and their environmental drivers from 2001 to 2012. Earth's Future, 9(1).

[24] Lin, Y., Huang, X., Liang, Y., Qin, Y., Xu, S., Huang, W., Xu, F., Liu, L., Wang, Y., Peng, Y., Wang, L., Xue, W., Fu, H., Zhang, G., Wang, B., Li, R., Zhang, C., Lu, H., Yang, K., Luo, Y., Bai, Y., Song, Z., Wang, M., Zhao, W., Zhang, F., Xu, J., Zhao, X., Lu, C., Chen, Y., Luo, Y., Hu, Y., Tang, Q., Chen, D., Yang, G. and Gong, P.(2020). Community Integrated Earth System Model (CIESM): Description and Evaluation. Journal of Advances in Modeling Earth Systems, 12(8), p.e2019MS002036.

[25] Han, Y., Zhang, G.J.(*), Huang, X(*). and Wang, Y.(2020). A moist physics parameterization based on deep learning. Journal of Advances in Modeling Earth Systems, 12(9), p.e2020MS002076. 

[26] Tao, F., Zhou, Z., Huang, Y., Li, Q., Lu, X., Ma, S., Huang, X., Liang, Y., Hugelius, G., Jiang, L. and Doughty, R.(2020). Deep learning optimizes data-driven representation of soil organic carbon in Earth system model over the conterminous United States. Frontiers in big Data, 3, p.17.

[27] He, Y., Wang, B., Liu, L., Huang, W., Xu, S., Liu, J., Wang, Y., Li, L., Huang, X., Peng, Y. and Lin, Y.(2020). A DRP‐4DVar‐based coupled data assimilation system with a simplified off‐line localization technique for decadal predictions. Journal of Advances in Modeling Earth Systems, 12(4).

[28] Yao, P., Lu, H., Wang, W., Shao, C., Yang, K., Gianotti, D., Liu, Z., Huang, X. and Entekhabi, D.(2020). Soil Moisture Retrieval Only Using Smap L-Band Radar Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4586-4589). IEEE.

[29] He, Q., Yue, S., Lu, H., Liu, Z., Huang, X. and Entekhabi, D.(2020). Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4570-4573). IEEE.

[30] He, Y., Wang, B., Huang, W., Xu, S., Wang, Y., Liu, L., Li, L., Liu, J., Yu, Y., Lin, Y. and Huang, X.(2020). A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique. Climate Dynamics, 54(7), pp.3541-3559.

[31] Xiao, Q., Geng, G., Liang, F., Wang, X., Lv, Z., Lei, Y., Huang, X., Zhang, Q., Liu, Y. and He, K.(2020). Changes in spatial patterns of PM2. 5 pollution in China 2000–2018: Impact of clean air policies. Environment international, 141, p.105776.

[32] Zhao, J., Yu, L., Xu, Y., Li, X., Zhou, Y., Peng, D., Liu, H., Huang, X., Zhou, Z., Wang, D. and Ren, C.(2020). Exploring difference in land surface temperature between the city centres and urban expansion areas of China’s major cities. International Journal of Remote Sensing, 41(23), pp.8965-8985.

[33] Dong, W. H. , Lin, Y. L. , Zhang, M. H.  and Huang, X.(2020). Footprint of tropical mesoscale convective system variability on stratospheric water vapor. Geophysical Research Letters, 47(5), e2019GL086320.

[34] Chen, Y., Huang, X., Li, Y., Chen, Y., Xu, Z. and Huang X.(2020). Ensemble Learning for Bias Correction of Station Temperature Forecast Based on ECMWF Products. Journal of Applied Meteorological Science,31(4): 494-503. 

[35] Liu, X., Yu, L., Dong, Q., Peng, D., Wu, W., Yu, Q., Cheng, Y., Xu, Y., Huang, X., Zhou, Z. and Wang, D.(2020). Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s). PeerJ, 8, p.e9835.

[36] Zhang Y., Li J., Yu R., Liu Z., Zhou Y., Li X. and Huang X. (2020). A multiscale dynamical model in a dry-mass coordinate for weather and climate modeling: Moist dynamics and its coupling to physics. Monthly Weather Review, v 148, n 7, p 2671-2699.

[37] Xu, L., Wang, A., Wang, C., Chen, Y., Chen, Y., Zhou, Z., Chen, X., Xing, J., Liu, K. and Huang, X.(*).(2020). Research on correction method of marine environment prediction based on machine learning. Marine Science Bulletin. 39(6):695-704.

[38] Huang, X.(*), Huang, X., Wang, D., Wu, Q., Li, Y., Zhang, S., Chen, Y., Wang, M., Gao, Y., Tang, Q. and Chen, Y.(2019). OpenArray v1. 0: a simple operator library for the decoupling of ocean modeling and parallel computing. Geoscientific Model Development, 12(11), pp.4729-4749. 

[39] Chen, D., Guo, J., Yao, D., Lin, Y., Zhao, C., Min, M., Xu, H., Liu, L., Huang, X., Chen, T. and Zhai, P.(2019). Mesoscale convective systems in the Asian monsoon region from Advanced Himawari Imager: Algorithms and preliminary results. Journal of Geophysical Research: Atmospheres, 124(4), pp.2210-2234.

[40] Xu, Y., Yu, L., Feng, D., Peng, D., Li, C., Huang, X., Lu, H. and Gong, P.(2019). Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30. International Journal of Remote Sensing, 40(16), pp.6185-6202.

[41] Zhao, J., Yu, L., Xu, Y., Ren, H., Huang, X. and Gong, P.(2019). Exploring the addition of Landsat 8 thermal band in land-cover mapping. International Journal of Remote Sensing, 40(12), pp.4544-4559.

[42] Yu, C., Huang, X., Chen, H., Godfray, H.C.J., Wright, J.S., Hall, J.W., Gong, P., Ni, S., Qiao, S., Huang, G., Xiao, Y., Zhang, J., Feng, Z., Ju, X., Philippe C. Nils S., Dag H., Sun, Z., Yu, L., Cai, W., Fu, H., Huang, X., Zhang, C. and Liu, H.(2019). Managing nitrogen to restore water quality in China. Nature, 567(7749), pp.516-520.

[43] Chen, Y., Lu, Y., Zhao, P., Xu, F., Huang, X. and Huang, X.(*)(2019). Seasonal and interannual variations of sea temperature influenced by Galápagos Islands in eastern tropical Pacific Ocean. Journal of Geophysical Research: Oceans, 124(5), pp.3007-3020.

[44] Li, Y., Wang, W., Lu, H., Khem, S., Yang, K. and Huang, X.(2019). Evaluation of three satellite-based precipitation products over the lower mekong river basin using rain gauge observations and hydrological modeling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), pp.2357-2373.

[45] Lin, Y., Huang, X. , Liang, Y. , Qin, Y. , Xu, S., Huang, W., Xu, F., Liu, L., Wang, Y., Peng, Y., Wang,L., Xue, W., Fu, H., Zhang, G., Wang, B., Li, R., Zhang, C., Lu, H., Yang, K., Luo, Y., Bai, Y., Song, Z., Wang, M., Zhao, W., Zhang, F., Xu, J., Zhao, X., Lu, C., Luo, Y., Chen, Y., Hu, Y., Tang, Q., Chen, D., Yang, G. and Gong, P. (2019). The community integrated Earth system model(CIESM)from tsinghua university and its plan for cmip6 experiments. Climate Change Research. 15(5): 545-550.

[46] Wu, Q., Ni, Y. and Huang X.(*)(2019). Regional Ocean Model Parallel Optimization in "Sunway TaihuLight". Journal of Computer Research and Development. 56(7):1556-1566.

[47] Huang, X.(*), Hu, C., Huang, X., Chu, Y., Tseng, Y.H., Zhang, G.J. and Lin, Y.(*) (2018). A long-term tropical mesoscale convective systems dataset based on a novel objective automatic tracking algorithm. Climate dynamics, 51(7), pp.3145-3159.

[48] Li, C., Lu, H., Yang, K., Han, M., Wright, J.S., Chen, Y., Yu, L., Xu, S., Huang, X. and Gong, W.(2018). The evaluation of SMAP enhanced soil moisture products using high-resolution model simulations and in-situ observations on the Tibetan Plateau. Remote Sensing, 10(4), p.535.

[49] Xu, S., Xu, Y., Xue, W., Shen, X., Zheng, F., Huang, X. and Yang, G.(2018). Taming the" Monster": Overcoming program optimization challenges on SW26010 through precise performance modeling. In 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (pp. 763-773). IEEE.

[50] Huang, X., Yu, C., Fang, J., Huang, G., Ni, S., Hall, J., Zorn, C., Huang, X. and Zhang, W.(2018). A dynamic agricultural prediction system for large-scale drought assessment on the Sunway TaihuLight supercomputer. Computers and electronics in agriculture, 154, pp.400-410.

[51] Huang, X., Ni, S., Yu, C., Hall, J., Zorn, C. and Huang, X.(2018). Identifying precipitation uncertainty in crop modelling using Bayesian total error analysis. European Journal of Agronomy, 101, pp.248-258.

[52] Lv, M., Lu, H., Yang, K., Xu, Z., Lv, M. and Huang, X. (2018). Assessment of runoff components simulated by GLDAS against UNH–GRDC dataset at global and hemispheric scales. Water, 10(8), 969.

[53] Xu, Y., Yu, L., Peng, D., Cai, X., Cheng, Y., Zhao, J., Zhao, Y., Feng, D., Hackman, K., Huang, X. and Lu, H.(2018). Exploring the temporal density of Landsat observations for cropland mapping: experiments from Egypt, Ethiopia, and South Africa. International Journal of Remote Sensing, 39(21), pp.7328-7349.

[54] Wang, X., Gan, L., Xu, J., Yang, J., Xia, M., Fu, H., Huang, X. and Yang, G.(2018). PLZMA: a parallel data compression method for cloud computing. In International Conference on Algorithms and Architectures for Parallel Processing (pp. 504-518). Springer, Cham.

[55] Cui, W., Zhang, J., Schmidt, F., Cui, D., Huang, X., Li, T. and Tian, F.(2018). Simultaneous characterization of the atmospheres, surfaces, and exomoons of nearby rocky exoplanets. Earth and Planetary Physics, 2(3), pp.247-256.

[56] Tseng, Y. H.(*), Ding, R. and Huang, X.(*)(2017). The warm blob in the northeast pacific—the bridge leading to the 2015/16 El Niño. Environmental Research Letters, 12(5), 054019.

[57] Liu, F., Guo, J., Huang, X. and Lui, J. C. S. (2017). eBA: efficient bandwidth guarantee under traffic variability in datacenters. IEEE/ACM Transactions on Networking, 25(1), 506-519.

[58] Li, C., Lu, H., Yang, K., Wright, J. S., Yu, L., Chen, Y., Huang, X. and Xu, S. (2017). Evaluation of the common land model (CoLM) from the perspective of water and energy budget simulation: towards inclusion in CMIP6. Atmosphere, 8.

[59] Fu, H., Gan, L., Yang, C., Xue, W., Wang, L.,  Wang, X.,Huang,X. and Yang, G. (2017). Solving global shallow water equations on heterogeneous supercomputers. Plos One, 12(3), e0172583.

[60] Zhao, J., Tian, F., Ni, Y. and Huang, X. (2017). DR-induced escape of O and C from early MARS. Icarus, 284.

[61] Huang, X. (*), Tang, Q., Tseng, Y., Hu, Y., Baker, A. H., Bryan, F. O., Dennis, J., Fu, H., and Yang, G. (2016). P-CSI v1.0, an accelerated barotropic solver for the high-resolution ocean model component in the Community Earth System Model v2.0, Geosci. Model Dev., 9, 4209-4225, doi:10.5194/gmd-9-4209-2016, 2016.

[62] Huang, X. (*), Ni, Y., Chen, D., Liu, S., Fu, H. and Yang, G. (2016). Czip: a fast lossless compression algorithm for climate data. International Journal of Parallel Programming, 44(6), 1-20.

[63] Baker, A. H., Hu, Y., Hammerling, D. M., Tseng, Y.-H., Xu, H., Huang, X., Bryan, F. O., and Yang, G.(2016). Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0), Geosci. Model Dev., 9, 2391-2406, doi:10.5194/gmd-9-2391-2016.

[64] Qiao, F., Zhao, W., Yin, X., Huang, X., Liu, X., Shu, Q., Wang, G., Song, Z., Li, X., Liu, H., Yang, G. and Yuan, Y.(2016). A highly effective global surface wave numerical simulation with ultra-high resolution. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016). IEEE Press. November 13-18, Salt Lake City, USA.

[65] Li T., Tian, F., Wang, Y., Wan, W. and Huang, X.(2016). Distinguishing a Hypothetical Abiotic Planet-Moon System from a Single Inhabited Planet. The Astrophysical Journal Letters. 817, L15.

[66] Fu, H., Liao, J., Xue, W., Wang, L., Chen, D., Gu, L., Xu J., Ding, N., Wang, X., He, C., Xu, S., Liang, Y., Fang, J., Xu, Y., Zheng, W., Xu, J., Zheng Z., Wei, W., Ji, X., Zhang, H., Cheng, B., Li, K., Huang, X., Chen, W., and Yang, G. (2016). 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 (SC 2016). IEEE Press, November 13-18, Salt Lake City, USA.

[67] Fu, H., Liao, J., Yang, J., Wang, L., Song, Z., and Huang, X., Yang, C., Xue, W., Liu, F., Qiao, F., Zhao, W., Yin, X., Hou, C., Zhang, C., Ge, W., Zhang, J., Wang, Y., Zhou, C. and Yang, G. (2016). The sunway taihulight supercomputer: system and applications. Science China Information Sciences, 59(7), 1-16.

[68] Wang, X., Wang, G. and Huang X. (2016). The application of scientific big data in the research of global climate change. Climate Change Research, 12(4), 313-321.

[69] Xu, S., Huang, X. (*), Oey, L. Y., Xu, F., Fu, H., Zhang, Y. and Yang, G. (2015). Pom.gpu-v1.0: a gpu-based princeton ocean model. Geoscientific Model Development, 8(9), 2815-2827.

[70] Hu, Y., Huang, X. (*), Baker, A.H., Tseng, Y.H., Bryan, F.O., Dennis, J.M. and Yang, G. (2015). Improving the scalability of the ocean barotropic solver in the community earth system model. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2015). IEEE Press, Austin, TX, USA.

[71] Liu, S., Huang, X., Fu, H., Yang, G. and Song, Z. (2015). Data reduction analysis for climate data sets. International Journal of Parallel Programming, 43(3), 508-527.

[72] Gan, L., Fu, H., Luk, W., Yang, C., Xue, W., Huang, X., Zhang, Y. and Yang, G.(2015). Solving the global atmospheric equations through heterogeneous reconfigurable platforms. ACM Transactions on Reconfigurable Technology & Systems, 8(2), 1-16.

[73] Fu, H., Wang, Y., Um, E. S., Fang, J., Wei, T., Huang, X. and Yang, G. (2015). A parallel finite-element time-domain method for transient electromagnetic simulation. Geophysics, 80(4), E213-E224.

[74] Huang, X. (*), Wang, W., Fu, H., Yang, G., Wang, B. and Zhang, C. (2014). A fast input/output library for high-resolution climate models. Geoscientific Model Development, 7(1), 93-103.

[75] Ruan, H., Huang, X., Fu, H. and  Yang, G. (2014). A fully pipelined probability density function engine for gaussian copula model. Tsinghua Science and Technology, 19(2), 194-202.

[76] Xu, S., Huang, X. (*), Zhang, Y., Hu, Y. and Yang, G. (2014). A customized GPU acceleration of the princeton ocean model. In Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors (ASAP 2014). IEEE press. Zurich, Switzerland.

[77] Zhang, C., Huang, X. (*), Hu, Y., Xu, S., Fu, H. and Yang, G. (2014). CFIO2: Overlapping Communications and I/O with Computations Using RDMA Technology. In Proceedings of the Network and Parallel Computing. Springer Berlin Heidelberg. Ilan, September 18-20, Taiwan, China.

[78] Guo, J., Liu, F., Huang, X., Lui, J., Hu, M., Gao, Q. and Jin, H. (2014). On efficient bandwidth allocation for traffic variability in datacenters. In Proceedings of the IEEE Conference on Computer Communications (INFOCOM 2014). IEEE Press. Toronto, Canada. April 27-May 2, Toronto, Canada.

[79] Xu, S., Huang, X. (*), Zhang, Y., Hu, Y., Fu, H. and Yang, G. (2014). Porting the Princeton Ocean Model to GPUs. In Proceedings of the International Conference for Algorithms and Architectures for Parallel Processing (ICA3PP 2014). Springer International Publishing. August 24-27, Dalian, China. 

[80] Geng, Y., Huang, X. and Yang, G. (2014). SwiftArray: Accelerating queries on multidimensional arrays. Tsinghua Science and Technology, 19(5), 521-530. 

[81] Geng, Y., Huang, X. (*) and Yang, G. (2014). Adaptive Indexing for Distributed Array Processing. In Big Data. In Proceedings of the IEEE International Congress on Big Data (BigData 2014). IEEE. , June 27-July 2, Anchorage, Alaska, USA. 

[82] Liu, S., Huang, X. (*), Ni, Y., Fu, H. and Yang, G. (2014). A high performance compression method for climate data. In Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2014). IEEE Press. August 26-28, Milan, Italy. 

[83] You, Y., Fu, H., Song, S. L., Dehnavi, M. M., Gan, L., Huang, X. and Yang, G. (2014). Evaluating multi-core and many-core architectures through accelerating the three-dimensional Lax–Wendroff correction stencil. International Journal of High Performance Computing Applications, 28(3), 301-318. 

[84] Fu, H., Gan, L., Clapp, R. G., Ruan, H., Pell, O., Mencer, O., Flynn M., Huang, X.  and Yang, G. (2014). Scaling Reverse Time Migration Performance through Reconfigurable Dataflow Engines. IEEE Micro, 34(1), 30-40. 

[85] Hu, Y., Huang, X., Wang, X., Fu, H., Xu, S., Ruan, H., Xue, W., and Yang, G. (2013). A scalable barotropic mode solver for the parallel ocean program. In Proceedings of the International Conference on Euro-Par Parallel Processing (Euro-Par 2013). Springer Berlin Heidelberg. August 26-30, Aachen, Germany.

[86] Ruan, H., Huang, X. (*), Fu, H., Yang, G., Luk, W., Racaniere, S., Pell, O. and Han, W. (2013). An FPGA-Based Data Flow Engine for Gaussian Copula Model. In Proceedings of the International Symposium on the Field-Programmable Custom Computing Machines (FCCM 2013). IEEE Press. April 28-30, Seattle, Washington, USA.

[87] Liu, S., Huang, X. (*), Fu, H. and Yang, G. (2013). Understanding data characteristics and access patterns in a cloud storage system. In Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013). IEEE Press. May 13-16, Delft, The Netherlands.

[88] Huang, X. (*), Pan, T., Ruan, H., Fu, H. and Yang, G. (2013). Parallel Buffer Generation Algorithm for GIS. Journal of Geology & Geosciences, 2(115), 2.

[89] Zhu, M., Huang, X. (*), Liu, S., Fu, H., Fang, Q. and Yang, G. (2013). Optimize Multidimensional Arrays Queries with Heterogeneous Replica Method. In Proceedings of the International Conference on Networking, Architecture and Storage (NAS 2013). IEEE Press. July 17-19, Xi’An, China. 

[90] Wang, W., Huang, X. (*), Fu, H., Hu, Y., Xu, S. and Yang, G. (2013). CFIO: A Fast I/O Library for Climate Models. In Proceedings of the IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2013). IEEE Press. July 16-18, Melbourne, Australia. 

[91] Geng, Y., Huang, X. (*), Zhu, M., Ruan, H. and Yang, G. (2013). SciHive: Array-based query processing with HiveQL. In Proceedings of the IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2013). IEEE Press. July 16-18, Melbourne, Australia. 

[92] Liu, S., Huang, X. (*), Ni, Y., Fu, H. and Yang, G. (2013). A Versatile Compression Method for Floating-Point Data Stream. In Proceedings of the IEEE International Conference on Networking and Distributed Computing (ICNDC 2013). IEEE Press. December 21, Hong kong, China.

[93] Gong, P.,  Wang, J., Yu, L.,  Zhao,  Y., Zhao, Y.,  Liang, L.,  Niu, Z.,  Huang, X., Fu, H.,  Liu, S., Li, C., Li, W., Fu, W., Liu, C., Xu, Y., Wang, X., Cheng, Q., Hu, L., Yao, W., Zhang, H., Zhu, P., Zhao, Z.,  Zhang, H., Zheng, Y., Ji, L., Zhang, Y., Chen, H., Yan. A., Guo, J., Yu, L., Wang, L., Liu, X., Shi, T.,  Zhu, M., Chen, Y., Yang, G., Tang, P., Xu, B., Giri, C., Clinton, N., Zhu, Z., Chen, J. and Chen, C. (2013). Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7), 2607-2654.

[94] Wang, B., Liu, M., Yu, Y., Li, L., Lin, P., Dong, L., Liu, L., Liu, J., Huang, W., Xu, S. and Shen, S., Pu, Y., Xue, W., Xia, K., Wang, Y., Sun, W., Hu, N., Huang, X., Liu, H., Zheng, W.,Wu, B., Zhou, T. and Guangwen Yang. (2013). Preliminary evaluations of FGOALS-g2 for decadal predictions. Advances in Atmospheric Sciences, 30, 674-683. 

[95] Li, L., Lin, P., Yu, Y., Wang, B., Zhou, T., Liu, L., Liu, J., Bao, Q., Xu, S., Huang, W. and Xia, K., Pu, Y., Dong, L., Shen, S., Liu, Y., Hu, N., Liu, M., Sun, W., Shi, S., Zheng, W., Wu, B., Song, M., Liu, H., Zhang, X., Wu, G., Xue, W., Huang, X., Yang, G., Song, Z. and Qiao, F. (2013). The flexible global ocean-atmosphere-land system model, Grid-point Version 2: FGOALS-g2. Advances in Atmospheric Sciences, 30, 543-560. 

[96] Gan, L., Fu, H., Luk, W., Yang, C., Xue, W., Huang, X., Zhang, Y.  and Yang, G. (2013). Accelerating solvers for global atmospheric equations through mixed-precision data flow engine. In Proceedings of the International Conference on Field Programmable Logic and Applications (FPL 2013). IEEE Press. September 2-4, Porto, Portugal.

[97] You, Y., Fu, H., Huang, X., Song, G., Gan, L., Yu, W. and Yang, G. (2013). Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC. In Proceedings of the International Conference on Parallel and Distributed Processing Symposium Workshops (IPDPSW 2013). IEEE Press. May 20-24, Boston, USA.

[98] Chen, C. Huang, X. (*), Fu, H. and Yang, G. (2012). The Chunk-Locality Index: An Efficient Query Method for Climate Datasets. In Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International(pp. 2104 - 2110). IEEE. May 20-24, Boston, USA. 

[99] Wen, H., Lin, C., Ren, F., Zhou, J., Yue, Y. and Huang, X. (2012). Retransmission or redundancy: Transmission reliability study in wireless sensor networks. Science China Information Sciences, 55(4), 737-746.

[100] Yang, G., Jiang, J. and Huang, X.(2012). Data Management in the Cloud: System and Practice. e-Science Technology & Application, 3, 18-25.

[101] Xu, P., Wu, Y., Huang, X., Yang, G. and Zheng, W. (2011). Optimizing write operation on replica in data grid. Science China Information Sciences, 54(1), 1-11. 

[102] Wu, Y., Gang, C., Liu, J., Fang, R., Huang, X., Yang, G. and Zheng, W. (2011). Automatically constructing trusted cluster computing environment. The Journal of Supercomputing, 55(1), 51-68.

[103] Wang, Y., Lin, C., Ungsunan, P. D. and Huang, X. (2011). Modeling and survivability analysis of service composition using Stochastic Petri Nets. The Journal of Supercomputing, 56(1), 79-105. 

[104] Huang, X. (*), Wu, Y., Yang, G., Zheng, W. and Jiang, J. (2010). Distributed bandwidth allocation based on alternating evolution algorithm. Journal of Parallel and Distributed Computing, 70(5), 547-557. 

[105] Huang, X. (*), Jiang, N. and Yang, G. (2010). A cross-layer flow control algorithm over HSDPA networks. In Proceeding of IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS 2010). IEEE Press. June 25-27, Beijing, China.

[106] Xu, C., Huang, X. (*), Wu, N., Sun, L. and Yang, G. (2010). Performance testing and analysis to storage medium of distributed file system. Chinese Journal of Computers, 33(10), 1873-1880. 

[107] Xu, P., Xu, C., Huang, X. (*), Wu, N., Liu, S. and Yang, G. (2010). CarrierFS: a virtual memory based distributed file system. Journal of Huazhong University of Science & Technology (Natural Science Edition), 38(1), 37-42.

[108] Xu, C., Huang, X. (*), Wu, N., Xu, P. and Yang, G. (2010, November). Using memcached to promote read throughput in massive small-file storage system. In Proceeding of the International Conference on Grid and Cooperative Computing (GCC 2010) IEEE Press. November 1-5, Nanjing, China. 

[109] Zheng, W., Xu, P., Huang, X. (*) and Wu, N. (2010). Design a cloud storage platform for pervasive computing environments. Cluster Computing, 13(2), 141-151. 

[110] Xu, P., Zheng, W., Wu, Y., Huang, X. (*) and Xu, C. (2010). Enabling cloud storage to support traditional applications. In Proceeding of the Annual ChinaGrid Conference (ChinaGrid 2010). IEEE Press. July 16-18, Guangzhou, China.

[111] 100.Wu, Y. and Huang, X. (2009). Cloud Storage. Communications of the CCF, 5(6), 44-52. 

[112] Ni, J., Huang, X. (*), Xu, W. and Yang, G. (2009). FRB: File Resource Broker for Integrating Heterogeneous File Resources. In Proceeding of the International Conference on Grid and Cooperative Computing (GCC 2009). IEEE Press. August 27-29, Lanzhou, China.

[113] Chen, S., Huang, X. (*), Xu, P. and Zheng, W. (2009). Distributed metadata management based on hierarchical bloom filters in data grid. In Proceeding of the Annual ChinaGrid Conference (ChinaGrid 2009). IEEE Press. August 21-22, Yantai, China.

[114] Huang, X. (*), Ren, F., Yang, G., Wu, Y., Zhen, W. and Lin, C. (2008). End-to-end congestion control for high speed networks based on population ecology models. In Proceeding of the International Conference on Distributed Computing Systems (ICDCS 2008). IEEE Press. July 17-20, Beijing, China. 

[115] Ren, F.,Huang, X., Liu, F. and Lin, C. (2008). Improving TCP throughput over HSDPA networks. IEEE Transactions on Wireless Communications, 7(6), 1993-1998.

[116] Shang, S., Jiang, J., Huang, Z., Huang, X., Yang, G., Zheng, W. and Yu, L. (2008). A Grid Workflow Framework with High Scalability and Usability. In Proceeding of the International Conference on Grid and Cooperative Computing (GCC 2008) IEEE Press. October 24-26, Shenzhen, China. 

[117] 106.Xu, W., Li, J., Wu, Y., Huang, X. and Yang, G. (2008). VDM: virtual database management for distributed databases and file systems. In Proceeding of the International Conference on Grid and Cooperative Computing (GCC 2008) IEEE Press. October 24-26, Shenzhen, China. 

[118] Huang, X. (*), Lin, C., Ren, F., Yang, G., Ungsunan, P. D. and Wang, Y. (2007, October). Improving the convergence and stability of congestion control algorithm. In Proceeding of the IEEE International Conference on Network Protocols (ICNP 2007). IEEE Press. October 16-19, Beijing, China. 

[119] Huang, X. (*), Lin, C. and Ren, F. (2007). A novel high speed transport protocol based on explicit virtual load feedback. Computer Networks, 51(7), 1800-1814. 

[120] Wen, H., Lin, C., Ren, F., Yue, Y. and Huang, X. (2007, October). Retransmission or redundancy: transmission reliability in wireless sensor networks. In Proceeding of the International Conference on Mobile Adhoc and Sensor Systems (MASS 2007). October 8-11, Pisa, Italy.

[121] Ouyang, Y., Lin, C., Ren, F., Yang, H., Huang, X. and Liu, T. (2007). Design and analysis of a backpressure congestion control algorithm in wireless sensor network. In Proceeding of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007). IEEE. December 3-16, Adelaide, Australia.

[122] Huang, X. (*), Lin，C. and Ren, F. (2006). Generalized modeling and stability analysis of highspeed TCP and scalable TCP. IEICE Trans. on Communications, 89(2), 605-608. 

[123] Huang, X. (*), Lin, C. and Ren, F. (2006). Study of high-speed transmission protocol. Chinese Journal of Computers, 29(11), 111-120. 

[124] Ren, F., Lin, C. and Huang, X. (2005). TCC: A two-category classifier for AQM routers supporting TCP flows. IEEE Communications Letters, 9(5), 471-473. 

[125] Ren, F., Lin, C. and Huang, X. (2005). An Explicit Criterion of Adaptive Virtual Queue Algorithm. IEICE Trans. on Communications. E88-B(9):3768-3771. 

[126] Huang, X. (*) and Liu L. (2004). Design and realization of a remote control system based on Web. Computer Engineering & Science, 26(2), 97-98. 

[127] Ren, F., Lin, C., Huang, X. and Liu, W. (2004). A Classifier Implementation for Active Queue Management Algorithm. Acta Electronica Sinica, 32(11), 1796-1800. 

[128] Ren, F., Yin, X., Huang, X. and  Lin, C. Design a Binary Controller to Enhance the End-to-End Congestion Control. IEEE Communications Letters. 2006, 10(12):858-860. 

[129] Yin, H., Lin, C., Cui, T., Huang, X., and Tan, Z. (2004). A novel multiple time scale congestion control scheme for multimedia traffic. In Proceeding of the Advances in Multimedia Information Processing (PCM 2004). Springer Berlin Heidelberg. November 20-December 3, Tokyo, Japan. 

[130] Huang, X. (*), Lin, C., Ren, F. and Yin, H. (2004). Highspeed tcp modeling and analysis. In Proceeding of the International Conference on Broadband Networks (Broadnets 2004). IEEE Press. October 24-29, San Jose, USA.

地球系统数值模拟装置——超级模拟支撑与管理系统,国家发改委

发展通用的地球系统模式高效并行计算框架,国家科学技术部高技术研究发展中心

智能数值模式发展,国家自然科学基金

高分辨率区域海洋模式软件子系统研制,国家科学技术部高技术研究发展中心

高效自动并行的海洋模式计算框架研究,国家自然科学基金

人工智能辅助数值天气预报关键技术研究,国家自然科学基金

面向海洋模式的高效自动并行三维算子库研制,海洋科学与技术试点国家实验室

三维海洋要素场智能化重构技术研究,海洋环境科学与数值模拟重点实验室

高分辨率区域气候动力降尺度预报技术研发与应用,自然资源部北海预报中心

全球大规模高效并行海浪数值模拟技术,自然资源部第一海洋研究所

基于深度学习的ENSO预报模型研究,自然资源部海洋环境预报中心

区域动态高时空分辨率大气污染源排放清单,生态环境部(总理基金项目)