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Hi there! I’m Yinghao Zhu (朱英豪) 👋

📧 Contact: [email protected]

About Me

I have a keen interest in playing Rubik's cubes, with a particular focus on solving the 3x3 and 2x2 cubes. You can check out my achievements and progress on the World Cube Association website at 2013ZHUY01.

GitHub Stats

yhzhu99's GitHub Stats

Feel free to explore my repositories and projects. If you have any questions or collaboration ideas, don't hesitate to reach out! Let's connect and build great things together. 😄

Yinghao Zhu's Projects

befair icon befair

Bias Detection Tools for Clinical Decision Making (Team Super2021)

covid-ehr-benchmarks icon covid-ehr-benchmarks

A Comprehensive Benchmark For COVID-19 Predictive Modeling Using Electronic Health Records

imputeehr icon imputeehr

Explore the most effective imputation strategies for EHR data

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

llm4healthcare icon llm4healthcare

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data

m3fair icon m3fair

M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method

mmhuman3d icon mmhuman3d

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

mtsp icon mtsp

群体智能大作业：基于仿生群智算法的无人机任务分配 (多旅行商问题的求解)

prism icon prism

PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity Mitigation

pyehr icon pyehr

COVID-19 EHR data analysis pipeline

pyhealth icon pyhealth

A Python Library for Healthcare Predictive Tasks

pypots icon pypots

A python toolbox/library for data mining on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with missing values.

simmtm icon simmtm

About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861

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