René's URL Explorer Experiment


Title: Cheng Li

Open Graph Title: Cheng Li

Description: Member of Technical Staff

Open Graph Description: Member of Technical Staff

Tel number
4194967797

Opengraph URL: https://cli99.com/

Generator: Wowchemy 4.8.0 for Hugo

direct link

Domain: cli99.com

Hey, it has json ld scripts: 
{"@context":"https://schema.org","@type":"WebSite","potentialAction":{"@type":"SearchAction","target":"https://cli99.com?q={search_term_string}","query-input":"required name=search_term_string"},"url":"https://cli99.com"}
NoneIE=edge
authorCheng Li
theme-color#2962ff
twitter:cardsummary
og:site_nameCheng Li
og:imagehttps://cli99.com/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png
twitter:imagehttps://cli99.com/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png
og:localeen-us
og:updated_time2024-03-24T00:00:00+00:00

Links:

https://cli99.com
Cheng Lihttps://cli99.com/
Cheng Lihttps://cli99.com/
Homehttps://cli99.com/#about
Experiencehttps://cli99.com/#experience
Publicationshttps://cli99.com/#publications
Talkshttps://cli99.com/#talks
Languageshttps://cli99.com/#languages
Contacthttps://cli99.com/#contact
https://cli99.com
https://cli99.com/#contact
https://scholar.google.com/citations?user=da9Vl6QAAAAJ&hl
https://github.com/cli99
https://linkedin.com/in/cli99
Black Forest Labshttps://blackforestlabs.ai/
Databricks Mosaic AIhttps://www.databricks.com/product/machine-learning
DBRX modelhttps://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm
Building DBRX-class Custom LLMs with Mosaic AI Traininghttps://www.databricks.com/blog/mosaic-ai-training-capabilities
Microsoft DeepSpeedhttps://github.com/microsoft/DeepSpeed
GitHub Copilothttps://github.com/features/copilot
DALL·E2https://openai.com/index/dall-e-2/
llm-analysishttps://github.com/cli99/llm-analysis
filtering publicationshttps://cli99.com/publication/
Zhewei Yaohttps://cli99.com/author/zhewei-yao/
Xiaoxia Wuhttps://cli99.com/author/xiaoxia-wu/
Cheng Lihttps://cli99.com/author/cheng-li/
Stephen Younhttps://cli99.com/author/stephen-youn/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensationhttps://cli99.com/publication/2024_zeroquant_v2/
PDFhttps://cli99.com/pdf/zeroquantv2-aaai24.pdf
Source Documenthttps://ojs.aaai.org/index.php/AAAI/article/view/29908
Conglong Lihttps://cli99.com/author/conglong-li/
Zhewei Yaohttps://cli99.com/author/zhewei-yao/
Xiaoxia Wuhttps://cli99.com/author/xiaoxia-wu/
Minjia Zhanghttps://cli99.com/author/minjia-zhang/
Connor Holmeshttps://cli99.com/author/connor-holmes/
Cheng Lihttps://cli99.com/author/cheng-li/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
Deepspeed data efficiency: Improving deep learning model quality and training efficiency via efficient data sampling and routinghttps://cli99.com/publication/2024_ds_data_efficiency/
PDFhttps://cli99.com/pdf/data-efficiency-aaai24.pdf
Source Documenthttps://ojs.aaai.org/index.php/AAAI/article/view/29810
Zhewei Yaohttps://cli99.com/author/zhewei-yao/
Cheng Lihttps://cli99.com/author/cheng-li/
Xiaoxia Wuhttps://cli99.com/author/xiaoxia-wu/
Stephen Younhttps://cli99.com/author/stephen-youn/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
A Comprehensive Study on Post-Training Quantization for Large Language Modelshttps://cli99.com/publication/2023_ds_w4a16/
PDFhttps://cli99.com/pdf/ds-w4a16-23.pdf
Cheng Lihttps://cli99.com/author/cheng-li/
Xiaoxia Wuhttps://cli99.com/author/xiaoxia-wu/
Reza Yazdani Aminabadihttps://cli99.com/author/reza-yazdani-aminabadi/
Zhewei Yaohttps://cli99.com/author/zhewei-yao/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Caseshttps://cli99.com/publication/2023_ds_w4a4/
PDFhttps://cli99.com/pdf/ds-w4a4-23.pdf
Projecthttps://cli99.com/project/deepspeed
Syed Zawadhttps://cli99.com/author/syed-zawad/
Cheng Lihttps://cli99.com/author/cheng-li/
Zhewei Yaohttps://cli99.com/author/zhewei-yao/
Elton Zhenghttps://cli99.com/author/elton-zheng/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
Feng Yanhttps://cli99.com/author/feng-yan/
DySR: Adaptive Super-Resolution via Algorithm and System Co-designhttps://cli99.com/publication/2022_dysr/
PDFhttps://cli99.com/pdf/dysr-iclr23.pdf
Source Documenthttps://openreview.net/forum?id=Pgtn4l6eKjv
Zhewei Yaohttps://cli99.com/author/zhewei-yao/
Xiaoxia Wuhttps://cli99.com/author/xiaoxia-wu/
Conglong Lihttps://cli99.com/author/conglong-li/
Connor Holmeshttps://cli99.com/author/connor-holmes/
Minjia Zhanghttps://cli99.com/author/minjia-zhang/
Cheng Lihttps://cli99.com/author/cheng-li/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformershttps://cli99.com/publication/2022_ds_random_ltd/
PDFhttps://cli99.com/pdf/random-ltd-22.pdf
Projecthttps://cli99.com/project/deepspeed
Source Documenthttps://www.deepspeed.ai/tutorials/data-efficiency/
Reza Yazdani Aminabadihttps://cli99.com/author/reza-yazdani-aminabadi/
Samyam Rajbhandarihttps://cli99.com/author/samyam-rajbhandari/
Minjia Zhanghttps://cli99.com/author/minjia-zhang/
Ammar Ahmad Awanhttps://cli99.com/author/ammar-ahmad-awan/
Cheng Lihttps://cli99.com/author/cheng-li/
Du Lihttps://cli99.com/author/du-li/
Elton Zhenghttps://cli99.com/author/elton-zheng/
Jeff Rasleyhttps://cli99.com/author/jeff-rasley/
Shaden Smithhttps://cli99.com/author/shaden-smith/
Olatunji Ruwasehttps://cli99.com/author/olatunji-ruwase/
Yuxiong Hehttps://cli99.com/author/yuxiong-he/
Deepspeed inference: Enabling efficient inference of transformer models at unprecedented scalehttps://cli99.com/publication/2022_ds_infer/
PDFhttps://cli99.com/pdf/ds-infer-sc22.pdf
Projecthttps://cli99.com/project/deepspeed
Source Documenthttps://github.com/microsoft/DeepSpeed
Cheng Lihttps://cli99.com/author/cheng-li/
Abdul Dakkakhttps://cli99.com/author/abdul-dakkak/
Jinjun Xionghttps://cli99.com/author/jinjun-xiong/
Wen-mei Hwuhttps://cli99.com/author/wen-mei-hwu/
The Design and Implementation of a Scalable DL Benchmarking Platform (Best Paper Award)https://cli99.com/publication/2020_carml_design/
PDFhttps://cli99.com/pdf/carml-cloud20.pdf
Codehttps://github.com/rai-project/mlmodelscope
Projecthttps://cli99.com/project/mlmodelscope
Slideshttps://cli99.com/pdf/carml-cloud20-slides.pdf
Cheng Lihttps://cli99.com/author/cheng-li/
Abdul Dakkakhttps://cli99.com/author/abdul-dakkak/
Jinjun Xionghttps://cli99.com/author/jinjun-xiong/
Wen-mei Hwuhttps://cli99.com/author/wen-mei-hwu/
DLSpec: A Deep Learning Task Exchange Specificationhttps://cli99.com/publication/2020_carml_spec/
PDFhttps://cli99.com/pdf/dlspec-opml20.pdf
Projecthttps://cli99.com/project/mlmodelscope
Slideshttps://cli99.com/pdf/dlspec-opml20-slides.pdf
Source Documenthttps://dlspec.netlify.com/
Cheng Lihttps://cli99.com/author/cheng-li/
Abdul Dakkakhttps://cli99.com/author/abdul-dakkak/
Jinjun Xionghttps://cli99.com/author/jinjun-xiong/
Wen-mei Hwuhttps://cli99.com/author/wen-mei-hwu/
Benanza: Automatic μBenchmark Generation to Compute ''Lower-bound'' Latency and Inform Optimizations of Deep Learning Models on GPUshttps://cli99.com/publication/2020_benanza/
PDFhttps://cli99.com/pdf/benanza-ipdps20.pdf
Projecthttps://cli99.com/project/benanza
Slideshttps://cli99.com/pdf/benanza-ipdps20-slides.pdf
Source Documenthttps://benanza.mlmodelscope.org/
See all publications https://cli99.com/publication/
SC 2019 - Across-Stack Profiling and Characterization of State-of-the-Art Machine Learning Models on GPUshttps://cli99.com/talk/2019-sc-profiling/
PDFhttps://cli99.com/pdf/profiling-2019sc-poster.pdf
Projecthttps://cli99.com/project/mlmodelscope/
Tutorial at IISWC 2019 - Challenges and Solutions for End-to-End and Across Stack ML Benchmarkinghttps://cli99.com/talk/2019-iiswc-tutorial/
Projecthttps://cli99.com/project/mlmodelscope/
HotChips 2019 - MLModelScope: Evaluate and Profile ML Models at Scale and Across Stackhttps://cli99.com/talk/2019-hotchipis/
Projecthttps://cli99.com/project/mlmodelscope/
IEEE Services 2019 - MLModelScope: Evaluate and Introspect Cognitive Pipelineshttps://cli99.com/talk/2019-ieee-services/
Projecthttps://cli99.com/project/mlmodelscope/
Tutorial at ISCA 2019 - Benchmarking Deep Learning Systemshttps://cli99.com/talk/2019-isca-tutorial/
Projecthttps://cli99.com/project/mlmodelscope/
See all talks https://cli99.com/talk/
Wowchemyhttps://wowchemy.com
open sourcehttps://github.com/wowchemy/wowchemy-hugo-modules
https://cli99.com
Copyhttps://cli99.com
Downloadhttps://cli99.com

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