Zhongqi Miao

Microsoft (United States) — United States

Computer Science · Physical Sciences

8h-index1.6kcitations29works9.22yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(9), COVID-19 diagnosis using AI(8), Multimodal Machine Learning Applications(7), Species Distribution and Climate Change(6), Animal Vocal Communication and Behavior(4)

Publications29 total

DeepFaune New England: A Species Classification Model for Trail Camera Images in Northeastern North America
Ecology and Evolution·2025· 1 citedOpen Access
GhostNetZero: AI for Detecting Marine Ghost Nets
2025Open Access
New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models
Methods in Ecology and Evolution·2025· 3 citedOpen Access
Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
Scientific Reports·2025· 6 citedOpen Access
The potential for AI to revolutionize conservation: a horizon scan
Trends in Ecology & Evolution·2024· 62 citedOpen Access
Tree of Attributes Prompt Learning for Vision-Language Models
arXiv (Cornell University)·2024Open Access
New frontiers in AI for biodiversity research and conservation with multimodal language models
2024· 4 citedOpen Access
Multi-modal Language Models in Bioacoustics with Zero-shot Transfer: A Case Study
2024Open Access
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
arXiv (Cornell University)·2024· 7 citedOpen Access
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
arXiv (Cornell University)·2023· 6 citedOpen Access
Zero-Shot Transfer for Wildlife Bioacoustics Detection
Research Square (Research Square)·2023· 3 citedOpen Access
Review for "A Double machine learning trend model for citizen science data"
2023
Challenges and solutions for automated avian recognition in aerial imagery
Remote Sensing in Ecology and Conservation·2023· 8 citedOpen Access
Review for "A Double machine learning trend model for citizen science data"
2023
Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition
IEEE Signal Processing Letters·2023· 2 cited
A comparison of COVID-19 outbreaks across US Combined Statistical Areas using new methods for estimating <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si65.svg" display="inline" id="d1e413"> <mml:msub> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> and social distancing behaviour
Epidemics·2022· 2 citedOpen Access
Open Long-Tailed Recognition in a Dynamic World
IEEE Transactions on Pattern Analysis and Machine Intelligence·2022· 24 cited
Open Long-Tailed Recognition in a Dynamic World
arXiv (Cornell University)·2022Open Access
Iterative human and automated identification of wildlife images
Nature Machine Intelligence·2021· 6 citedOpen Access
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
arXiv (Cornell University)·2020· 30 citedOpen Access
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Frequent Co-authors

Ziwei Liu(13), Stella X. Yu(13), Juan Lavista Ferres(8), Xiaohang Zhan(7), Boqing Gong(7), Rahul Dodhia(7), Jiayun Wang(6), Wayne M. Getz(6), Kaitlyn M. Gaynor(5), Oliver Muellerklein(3), Xingang Pan(3), Dahua Lin(3), Sara Beery(3), Zalan Fabian(3), Yuanhan Zhang(3), Benjamin Elizalde(3), Soham Deshmukh(3), Justin Kitzes(3), Huaming Wang(3), Meredith S. Palmer(3)