René's URL Explorer Experiment


Title: Xingjian Shi

direct link

Domain: sxjscience.github.io

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Links:

https://github.com/sxjscience
My Githubhttps://github.com/sxjscience
My Google Scholarhttps://scholar.google.com.hk/citations?user=P4G6H7oAAAAJ&hl=en
Boson AIhttps://boson.ai/
Higgs-Llamahttps://www.boson.ai/blog/higgs-v2
Higgs-Audiohttps://github.com/boson-ai/higgs-audio
AutoGluon Multimodalhttps://github.com/autogluon/autogluon
DeepEarthhttps://www.amazon.science/publications/earthformer-exploring-space-time-transformers-for-earth-system-forecasting
Hong Kong University of Science and Technologyhttp://cse.ust.hk
Prof. Dit-Yan Yeunghttp://www.cse.ust.hk/~dyyeung/
Shanghai Jiao Tong Universityhttp://www.sjtu.edu.cn/
Apache/MXNethttps://github.com/apache/incubator-mxnet
paperhttps://arxiv.org/abs/2404.01260
paperhttps://arxiv.org/abs/2307.10422
project pagehttps://github.com/gaozhihan/PreDiff
Amazon Sciencehttps://www.amazon.science/publications/prediff-precipitation-nowcasting-with-latent-diffusion-models
paperhttps://arxiv.org/abs/2302.04476
project pagehttps://github.com/mmendiet/GFM
paperhttps://www.amazon.science/publications/earthformer-exploring-space-time-transformers-for-earth-system-forecasting
project pagehttps://github.com/amazon-science/earth-forecasting-transformer
Amazon Sciencehttps://www.amazon.science/publications/prediff-precipitation-nowcasting-with-latent-diffusion-models
Book Previewhttps://books.google.es/books?id=5P5DzgEACAAJ&dq=%22Deep+learning+for+the+Earth+Sciences%22&hl=en&sa=X&ved=2ahUKEwimm8GygYXwAhW4BGMBHWpJDf8Q6AEwAHoECAIQAg
paperhttp://papers.nips.cc/paper/7145-deep-learning-for-precipitation-nowcasting-a-benchmark-and-a-new-model
project pagehttps://github.com/sxjscience/HKO-7
posterhttps://sxjscience.github.io/data/nips2017_hko7_poster.pdf
pdfhttps://papers.nips.cc/paper/5955-convolutional-lstm-network-a-machine-learning-approach-for-precipitation-nowcasting.pdf
supplementaryhttps://papers.nips.cc/paper/5955-convolutional-lstm-network-a-machine-learning-approach-for-precipitation-nowcasting-supplemental.zip
code and datahttp://www.wanghao.in/code/SPARNN-release.zip
paperhttps://arxiv.org/abs/2305.09651
project pagehttps://github.com/twinkle0331/LGTM
paperhttps://arxiv.org/pdf/2305.06090.pdf
project pagehttps://github.com/bingzhaozhu/xtab
paperhttps://openreview.net/forum?id=XSRSWxyJIC
project pagehttps://github.com/amazon-science/peft-design-spaces
paperhttps://openreview.net/forum?id=6SRDbbvU8s
project pagehttps://github.com/lzcemma/LeMDA
paperhttps://openreview.net/forum?id=Q0zOIaec8HF
project pagehttps://github.com/sxjscience/automl_multimodal_benchmark
paperhttps://arxiv.org/abs/2410.21533
paperhttps://arxiv.org/pdf/2302.08908.pdf
project pagehttps://github.com/cplusx/layout_diffuse
paperhttps://assets.amazon.science/36/e6/95f355a24df983dfcd2fe6b5ad2a/symbolic-music-generation-with-transformer-gans.pdf
project pagehttps://sxjscience.github.io/TBA
paperhttp://jmlr.org/papers/v21/19-429.html
paperhttps://arxiv.org/pdf/1803.07294.pdf
paperhttp://openaccess.thecvf.com/content_iccv_2017/html/Xiong_Spatiotemporal_Modeling_for_ICCV_2017_paper.html
Hong Kong PhD Fellowshiphttps://cerg1.ugc.edu.hk/hkpfs/index.html
National Scholarshiphttp://www.moe.gov.cn/jyb_xwfb/xw_zt/moe_357/jyzt_2015nztzl/2015_zt06/15zt06_gxzzzc/gxzz_bzks/201508/t20150810_199202.html
Project Pagehttps://github.com/autogluon/neurips2022-autogluon-workshop
Project Pagehttps://github.com/jwmueller/KDD20-tutorial
Download Slidehttps://sxjscience.github.io/data/Xingjian_Shi_NIPS.pdf
Videohttps://www.facebook.com/nipsfoundation/videos/1553634558061111/
Download Slidehttp://mac.xmu.edu.cn/valse2017/ppt/Webinar/valse2017_sxj.pdf
Download Slidehttps://www.slideshare.net/awskorea/2-mx-net
Project Pagehttps://github.com/sxjscience/aws-summit-2017-seoul
Download Slidehttps://sxjscience.github.io/data/MXNet.pdf
Download Slidehttps://sxjscience.github.io/data/valse-20160323.pptx
Printhttps://sxjscience.github.io
To top https://sxjscience.github.io#top

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URLs of crawlers that visited me.