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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

biopython icon biopython

Official git repository for Biopython (converted from CVS)

bpie-bisrnn icon bpie-bisrnn

The application of paper LONG TEXT ANALYSIS USING SLICED RECURRENT NEURAL NETWORK WITH BREAKING POINT INFORMATION ENRICHMENT

caffe2 icon caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

captum icon captum

Model interpretability and understanding for PyTorch

chembo icon chembo

Bayesian optimization framework for organic molecules with synthesizable recommendations

chemicalx icon chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

commai-env icon commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

darknet-note icon darknet-note

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

dash icon dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

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