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Experienced Algorithm Engineer with a demonstrated history of working in the internet industry. Skilled in Machine Learning, with engineering and research experiences in multi sub-fields, including Natural Language Processing, Computer Vision, and Reinforcement Learning. Strong engineering professional with a Doctor of Philosophy - PhD focused in Computer Science and Engineering from University of California San Diego.
Google Deepmind
View- Website:
- deepmind.google
- Employees:
- 6578
- Company phone:
- 916.253.7820
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Software EngineerGoogle DeepmindMountain View, Ca, Us -
Software EngineerGoogle Oct 2023 - PresentMountain View, Ca, Us -
Graduate Research AssistantUniversity Of California San Diego Aug 2018 - Dec 2023La Jolla, Ca, Us -
Student ResearcherGoogle Sep 2022 - Jan 2023Mountain View, Ca, Us -
Research InternGoogle Jun 2022 - Sep 2022Mountain View, Ca, UsCollected performance-improving code edits and filtered the data by verifying the latency reduction of the associated unit tests.Trained T5-pointer model to predict the performance-improving edits to general-purpose C++ code and achieved 46% sequence accuracy.Revealed the common improvements by clustering on the diff-bag-of-word feature on the code pairs. -
Applied Scientist InternAmazon Web Services (Aws) Jun 2021 - Sep 2021Seattle, Wa, UsCreated a non-synthetic image-based table QA (TQA) dataset with Puppeteer. Developed heuristic pagination methods to improve table recognition results from Textract (24% exact match to 51% exact match) and generated table retrieval labels via normalized recall. Established baseline models to the task: BERT with cell-selection and aggregation prediction model with oracle table retrieval information model (denotation accuracy 31%), LayoutLM encoder with T5 decoder for end-to-end image-based TQA (accuracy 18%). -
Pinterest Labs Research InternPinterest Jun 2020 - Sep 2020San Francisco, California, UsI worked on the temporal-aware content recommendation in the homefeed. My project investigated 1) incorporating clustering method into self-attention model while keeping the model end-to-end differentiable, and compare it with the existing attention models based on learnable cluster centers (0.2 AUC improvement). 2) temporal-aware cluster weight learning, and showed the improvement against non-weighted models and models with heuristic weights -
Research InternFacebook Jun 2019 - Sep 2019I worked on a first-person view human pose tracking project. The model reduced human pose detection error by 7% and 10% on normal and challenging datasets by incorporating optical flow into U-net and further reduced the same error by 15% by imposing appearance encoding consistency loss on output of the feature extraction layers. -
Senior Algorithm EngineerAlibaba.Com Dec 2016 - Aug 2018Hangzhou, Cn -
Software Engineer, Natural Language ProcessingDuoyi Internet Jun 2016 - Dec 2016Team: chatting robot / QA systemSpecialization: NLP(Mandarin, English), Text Mining, Deep LearningProjects: -Text summarization (by HedgeTrimmer + TextRank)-Language models (DFA, RNN)-Topic models (LDA, variational LDA, Topical Phrase Mining)-Unsupervised sentiment classification (Dictionary-based scoring)-Text classification and dimension reduction (LR/SVM+PCA)
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Research AssistantUniversity Of Illinois At Urbana-Champaign, Computer Science Department Feb 2016 - Jul 2016
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Research AssistantTsinghua University, Construction Management Department Nov 2015 - Jul 2016
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Project Manager For Eco-Sustainble CommunityOne Community Global Jul 2015 - Sep 2015San Gabriel, California, UsInspected and coordinated house design in Earthbag Village projectPrepared CAD Drawing and modeled 3D model of the Earthbag Village project in both Revit and Google SketchupEstimated and checked the cost for three projects -
ParalegalPinsent Masons Jul 2013 - Aug 2013London, England, GbCollected and compiled government acts on overseas investment, starting from core acts to secondary acts related to them and so on to ensure the comprehensiveness.Translated guidebook of construction legal issues from Chinese to English.Communicated with courts and plaintiff to coordinate the process of lawsuit.
Hui Shi Skills
Hui Shi Education Details
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Uc San DiegoComputer Science And Engineering -
University Of Illinois Urbana-ChampaignConstruction Management -
Tsinghua UniversityEconomics -
Tsinghua UniversityConstruction Management -
University Of CambridgeFinance And Real Estate
Frequently Asked Questions about Hui Shi
What company does Hui Shi work for?
Hui Shi works for Google Deepmind
What is Hui Shi's role at the current company?
Hui Shi's current role is Software Engineer.
What is Hui Shi's email address?
Hui Shi's email address is hs****@****ton.edu
What is Hui Shi's direct phone number?
Hui Shi's direct phone number is +121797*****
What schools did Hui Shi attend?
Hui Shi attended Uc San Diego, University Of Illinois Urbana-Champaign, Tsinghua University, Tsinghua University, University Of Cambridge.
What are some of Hui Shi's interests?
Hui Shi has interest in Social Services.
What skills is Hui Shi known for?
Hui Shi has skills like Primavera P6, Microsoft Project, Revit, Autocad, Bim, Construction Drawings, Sketchup, Microsoft Office, C, Data Analysis, Stata, Adobe Audition.
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