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👋 This is Zehua Cheng

I am a D.Phil candidate in Computer Science at the University of Oxford, doing interdisciplinary research between Artificial Intelligence and Drug Discovery, supervised by Professor Thomas Lukasiewicz in Intelligent Systems Lab. Currently I am working on building a cross-institutional, large-scale distributed machine learning system. I am working closely with many prominent medical institutions, such as Peking Union Medical College Hospital, Tsinghua Changgeng Hospital, etc. This system aimed to streamline the diagnostic process across these disparate facilities, thereby fostering greater collaboration and information sharing in a highly secure environment.

Selected Awards

  • First Prize at ACM. MM GrandChallenge in Multi-Modal Video Identification Track in 2019
  • First Prize at AWS Self-driving car racing challenge in 2021
  • International Joint Conference on Artificial Intelligence (IJCAI 2022) Travel Grant
  • Third Prize at NeurIPS 2023: Open Catalyst Challenge

Contact me

[email protected]

Limber Cheng's Projects

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Coursera courses for National Research University Higher School of Economics.

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为了对新来的实习学生有一个较为系统的培训，我们构建了关于实习生培训的数据专用git，主要的内容包括：任务书，学习资料，论文，以及原始代码，欢迎大家

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ALI的Tensorflow炼成与GAN科普

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An open-source NLP research library, built on PyTorch.

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A Latex style and template for paper preprints (based on NIPS style)

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Auto Tune Models - A multi-user, multi-data system for automated machine learning (model selection and tuning).

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A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

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Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

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百度网盘的linux桌面客户端

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