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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<title>Chia-Hsiang Kao (高家祥)</title>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<meta content="Chia-Hsiang Kao, 高家祥, Robust and interpretable Machine Learning." name="keywords" />
<meta property="og:title" content="Chia-Hsiang's (家祥) Website" />
<meta property="og:description" content="My goal is to develop robust, reliable, and interpretable ML algorithms and healthcare systems." />
<meta property="og:image" content="https://raw.githubusercontent.com/IandRover/IandRover.github.io/gh-pages/assets/img/hero-small.webp" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://iandrover.github.io/" />
<link href='https://fonts.googleapis.com/css?family=Titillium+Web:400,600,300' rel='stylesheet' type='text/css'>
<link rel="stylesheet" href="./assets/css/publications.css">
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<script src="./assets/js/scramble.js"></script>
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<title>Chia-Hsiang Kao</title>
<meta name="Chia-Hsiang Kao's Homepage" http-equiv="Content-Type" content="Chia-Hsiang Kao's Homepage">
<link rel="icon" type="image/png" href="assets/img/icon.png">
</head>
<body>
<table width="840" border="0" align="center" border="0" cellspacing="0" cellpadding="20">
<tr><td>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<p align="center">
<heading>Chia-Hsiang Kao (高家祥)</heading>
</p>
<tr>
<td width="33%" valign="top"><a href="assets/img/Aaron[2308-2].png"><img src="assets/img/Aaron[2308-2].png" width="100%" style="border-radius:15px"></a>
<p align=center>
<a href="ck696_at_cornell_edu" target="_blank">Email</a> /
<a href="./assets/pdf/cv_latest.pdf" target="_blank">CV</a> /
<a href="https://scholar.google.com.tw/citations?user=W_i9B0sAAAAJ" target="_blank">Google Scholar</a>
</p>
</td>
<td width="66%" valign="top" align="justify">
<p>
Hi, I am a second-year CS PhD student at Cornell University, advised by Prof. <a href="https://www.cs.cornell.edu/~bharathh/">Bharath Hariharan</a> and <a href="https://www.cs.cornell.edu/~kb/">Kavita Bala</a>, focusing on vision, LLM agent, code generation, and deep learning algorithms.
My research goal lies in building robust, trustworthy, and interpretable AI system.
<br><br>
<!-- Previously, I obtained my Medical Doctor degree 🩺 from National Yang Ming Chiao Tung University (NYCU) in Taiwan.
I am
I worked with Dr. <a href="https://sites.google.com/site/pinyuchenpage" target="_blank">Pin-Yu Chen</a> at MIT-IBM Research, Prof. <a href="https://walonchiu.github.io/" target="_blank">Wei-Chen Chiu</a> and Prof. <a href="https://bml.ym.edu.tw/ibs/Members/LFChen-e.html" target="_blank">Li-Fen Chen</a> at NYCU, and Prof. <a href="http://vllab.ee.ntu.edu.tw/" target="_blank">Yu-Chiang Frank Wang</a> at NTU before joining Cornell. -->
Before joining Cornell, I obtained my Medical Doctor degree 🩺 from National Yang Ming Chiao Tung University (NYCU) in Taiwan. I am fortunate to work with Dr. <a href="https://sites.google.com/site/pinyuchenpage" target="_blank">Pin-Yu Chen</a> at MIT-IBM Research, Prof. <a href="https://walonchiu.github.io/" target="_blank">Wei-Chen Chiu</a> and Prof. <a href="https://bml.ym.edu.tw/ibs/Members/LFChen-e.html" target="_blank">Li-Fen Chen</a> at NYCU, and Prof. <a href="http://vllab.ee.ntu.edu.tw/" target="_blank">Yu-Chiang Frank Wang</a> at NTU
</p>
<br>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="10">
<div class="section-title">
Publication
</div>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="15">
<div class="publication-card">
<div class="publication-image">
<a href="assets/img/publications/NeurIPS2024_raw.pdf" target="_blank">
<img src="assets/img/publications/NeurIPS2024_raw.pdf" alt="Publication preview">
</a>
</div>
<div class="publication-content">
<div class="publication-title">
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
</div>
<div class="publication-badge">
<img class="badge" src="https://img.shields.io/badge/NeurIPS_2024-blue">
<a href="https://arxiv.org/abs/2409.19841" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Paper-gray?logo=book">
</a>
<a href="https://github.com/IandRover/CCL-NeurIPS24" target="_blank">
<img class="badge" src="https://img.shields.io/badge/GitHub-gray?logo=github">
</a>
</div>
<div class="publication-authors">
<b>Chia-Hsiang Kao</b>, Bharath Hariharan
</div>
We design a non-backpropagation learning algorithm that mimicks the counter-current exchange mechanisms observed in biological systems.
</div>
</div>
</div>
<div class="publication-card">
<div class="publication-image">
<a href="assets/img/publications/allclear.pdf" target="_blank">
<img src="assets/img/publications/allclear.pdf" alt="Publication preview">
</a>
</div>
<div class="publication-content">
<div class="publication-title">
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
</div>
<div class="publication-badge">
<img class="badge" src="https://img.shields.io/badge/NeurIPS_2024-blue">
<a href="https://allclear.cs.cornell.edu" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Project-gray?">
</a>
<a href="https://arxiv.org/abs/2410.23891" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Paper-gray?logo=book">
</a>
<a href="https://github.com/Zhou-Hangyu/allclear" target="_blank">
<img class="badge" src="https://img.shields.io/badge/GitHub-gray?logo=github">
</a>
</div>
<div class="publication-authors">
Hangyu Zhou*, <b>Chia-Hsiang Kao*</b>, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala
</div>
We build up the largest collection of satellite images with cloud occlusions.
</div>
</div>
</div>
<div class="publication-card">
<div class="publication-image">
<a href="assets/img/publications/ICML2024_raw.webp" target="_blank">
<img src="assets/img/publications/ICML2024_raw.webp" alt="Publication preview">
</a>
</div>
<div class="publication-content">
<div class="publication-title">
Caduceus: Bi-directional equivariant long-range dna sequence modeling
</div>
<div class="publication-badge">
<img class="badge" src="https://img.shields.io/badge/ICML_2024-blue">
<a href="https://caduceus-dna.github.io" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Project-gray?">
</a>
<a href="https://arxiv.org/pdf/2403.03234.pdf" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Paper-gray?logo=book">
</a>
<a href="https://github.com/kuleshov-group/caduceus" target="_blank">
<img class="badge" src="https://img.shields.io/badge/GitHub-gray?logo=github">
</a>
</div>
<div class="publication-authors">
Yair Schiff, <b>Chia-Hsiang Kao</b>, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov
</div>
We design a DNA foundation model, specialized in long-context sequence modeling, combining the bi-directional equivariant intuition.
</div>
</div>
<div class="publication-card">
<div class="publication-image">
<a href="assets/img/publications/NIPS2023_raw.webp" target="_blank">
<img src="assets/img/publications/NIPS2023_raw.webp" alt="Publication preview">
</a>
</div>
<div class="publication-content">
<div class="publication-title">
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning
</div>
<div class="publication-badge">
<img class="badge" src="https://img.shields.io/badge/arXiv-blue">
<a href="https://arxiv.org/abs/2307.10317" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Paper-gray?logo=book">
</a>
<a href="https://github.com/IandRover/FedBug" target="_blank">
<img class="badge" src="https://img.shields.io/badge/GitHub-gray?logo=github">
</a>
</div>
<div class="publication-authors">
<b>Chia-Hsiang Kao</b>, Yu-Chiang Frank Wang
</div>
We design a federated learning framework to mitigate the dataset shift by gradually unfreezing the model.
</div>
</div>
<div class="publication-card">
<div class="publication-image">
<a href="assets/img/publications/ICLR2022_800x600.webp" target="_blank">
<img src="assets/img/publications/ICLR2022_800x600.webp" alt="Publication preview">
</a>
</div>
<div class="publication-content">
<div class="publication-title">
MAML Is a Noisy Contrastive Learner in Classification
</div>
<div class="publication-badge">
<img class="badge" src="https://img.shields.io/badge/ICLR_2022-blue">
<a href="https://arxiv.org/abs/2106.15367" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Paper-gray?logo=book">
</a>
<a href="https://github.com/iandrover/maml_noisy_contrasive_learner" target="_blank">
<img class="badge" src="https://img.shields.io/badge/GitHub-gray?logo=github">
</a>
<a href="https://medium.com/@aaronkao/paper-maml-is-a-noisy-contrastive-learner-in-classification-de63001ad3e0" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Medium-gray?logo=medium">
</a>
</div>
<div class="publication-authors">
<b>Chia-Hsiang Kao</b>, Wei-Chen Chiu, Pin-Yu Chen
</div>
We show that Model-agnostic meta-learning (MAML) acts as contrastive leaerning.
</div>
</div>
<!-- <div class="publication-card">
<div class="publication-image">
<a href="assets/img/publications/MICCAI2021_800x600.webp" target="_blank">
<img src="assets/img/publications/MICCAI2021_800x600.webp" alt="Publication preview">
</a>
</div>
<div class="publication-content">
<div class="publication-title">
Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity
</div>
<div class="publication-badge">
<img class="badge" src="https://img.shields.io/badge/MICCAI_2021-blue">
<a href="assets/pdf/2021_MICCAI.pdf" target="_blank">
<img class="badge" src="https://img.shields.io/badge/Paper-gray?logo=book">
</a>
</div>
<div class="publication-authors">
<b>Chia-Hsiang Kao</b>, Yong-Sheng Chen, Li-Fen Chen, Wei-Chen Chiu
</div>
We demystify the T1-MRI to FDG18-PET image translation via representational similarity.
</div>
</div> -->
<!-- <style>
</style> -->
<div class="section-title">
Awards and Scholarships
</div>
<div class="section-card">
<div class="second-item">
<div class="item-year">2021</div>
<div class="iten-description">
Student Travel Award, MICCAI
</div>
</div>
<div class="second-item">
<div class="item-year">2020</div>
<div class="iten-description">
Undergraduate Research Fellowship, National Science and Technology Council, Taiwan
</div>
</div>
<div class="second-item">
<div class="item-year">2018</div>
<div class="iten-description">
Undergraduate Research Fellowship, National Science and Technology Council, Taiwan
</div>
</div>
<div class="second-item">
<div class="item-year">2018</div>
<div class="iten-description">
Summer Research Fellowship, National Science and Technology Council, Taiwan
</div>
</div>
</div>
<div class="section-title">
Services
</div>
<div class="section-card">
<div class="second-item">
<div class="item-year">Conference</div>
<div class="iten-description">
AAAI[25], AISTATS[25], AutoML[22], ICLR[25], NeurIPS[21,24]
</div>
</div>
</div>
<div class="section-title">
Interests
</div>
<div class="section-card">
<div class="second-item">
<!-- <div class="item-year">🌊</div> -->
<div class="item-year">🏊🏼 and 🏄</div>
<div class="iten-description">
Got a lifeguard license at 18!
</div>
</div>
<div class="second-item">
<div class="item-year">🏃 and 🏞️</div>
<div class="iten-description">
One half-marathon, two 10Ks, and five 8.9Ks so far!
</div>
</div>
<div class="second-item">
<div class="item-year">🎤 and 🎸</div>
<div class="iten-description">
Used to play the viola, but play the guitar more now!
</div>
</div>
</div>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr><td>
<!-- <br> -->
<p align="right"><font size="2">
Template: <a href="https://zswang666.github.io/" target="_blank">this</a>
<br>
Last update: Nov. 2024
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</body>
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