| Research Paper | Author & Researcher | Year Finished |
| AI in Healthcare | ||
| Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score: [link] | Xuan Di, Yiqiao Yin, Yongjie Fu, Zhaobin Mo, Shaw-Hwa Lo, Carolyn DiGuiseppi, David W Eby, Linda Hill, Thelma J Mielenz, David Strogatz, Minjae Kim, Guohua Li | Feb. 2023 |
| A Multi-Output Network with U-net Enhanced Class Activation Map and RobustClassification Performance for Medical Imaging Analysis: [link, also covered on Scentia page] | Jaiden Shraut, Leon Liu, Jonathan Gong, Yiqiao Yin | Dec. 2022 |
| Automated Segmentation and Classification of Aerial Forest Imagery: [link, also covered by media] | Kieran Pichai, Benjamin Park, Aaron Bao, Yiqiao Yin | Nov. 2022 |
| Towards Explainable AI on Chest X-ray Diagnosis using Image Segmentation and CAM Visualization: [Third Symposium on Knowledge-guided ML (KGML-AAAI-22), KGML-AAAI-22 Home, for this work see Day 2 Session 5, scheduled at 2PM EST] | Leon Liu, Yiqiao Yin | Nov. 2022 |
| Using Machine Learning to Classify Human Fetal Health and Analyze Feature Importance | Yash Bingi, Yiqiao Yin | Jan. 2023 |
| A Machine Learning based Enrollment Rate Forecasting System [Pre-printed, OHDSI Link, OHDSI Agenda] (Credits for Edna Benko Williams) | Yiqiao Yin | Oct. 2022 |
| K12 AI Education and AI4ALL | ||
| AI4ALL: K12 AI Education [Easychair preprint, ] | Yiqiao Yin | Aug. 2022 |
| Representation Learning and Explainable AI | ||
| Towards Explainable Artificial Intelligence Using Interaction-Based Representation Learning | Yiqiao Yin | May 2022 |
| Fundamentals of Interaction-based Learning | Yiqiao Yin | Apr. 2022 |
| XAI in Healthcare: A Novel XAI Approach Towards Radiology Image Classification: [AAAI 22′ Workshops, W37 Home, Poster, Presentation | Details: AAAI 22′ Schedule Home, AAAI 22′ Workshop Page (My talk is in W37: Trustworthy AI in Healthcare)] | Updated slides. | Yiqiao Yin | Mar. 2022 |
| I-score Review Paper: A Novel Approach to Explainable AI | Yiqiao Yin | Jan. 2022 |
| Interaction-based Recurrent Neural Networks | Yiqiao Yin | Dec. 2021 |
| Interaction-based Convolutional Neural Networks | Yiqiao Yin | Dec. 2021 |
| An Interaction-based Method | Yiqiao Yin | Dec. 2021 |
| Money Management | ||
| Art of Money Management | Yiqiao Yin | Jan. 2017 |
| Trading and Secondary Market | ||
| Buy Signal From Limit Theory: An Empirical Investigation | Yiqiao Yin | Jun. 2020 |
| Buy Signal from Limit Theorem | Yiqiao Yin | May 2018 |
| Time Series Analysis on Stock Returns | Yiqiao Yin | May 2017 |
| Martingale to Optimal Trading | Yiqiao Yin | Oct. 2016 |
| Anomaly Correction by Trading Frequency [3] [Slide] | Yiqiao Yin | Sep. 2016 |
| Absolute Alpha with Moving Averages: A Consistent Trading Strategy [Slide] | Yiqiao Yin | Apr. 2016 |
| Absolute Alpha with Limited Leverage | Yiqiao Yin | Feb. 2016 |
| Absolute Alpha by Beta Manipulation | Yiqiao Yin | Oct. 2014 |
| Macroeconomics | ||
| Trade Dynamics with Endogenous Contact Rate | Yiqiao Yin | May 2016 |
| Empirical Asset pricing | ||
| Empirical Study on Greed [2] | Yiqiao Yin | Jan. 2016 |
| Alternative Empirical Study on Market Value Balance Sheet [2] | Yiqiao Yin | Dec. 2015 |
| Empirical Study on Market Value Balance Sheet (MVBS) | Yiqiao Yin | Nov. 2015 |
| Cross-section Study on Stock Returns to Future-expectation Theorem | Yiqiao Yin | Oct. 2015 |
| How to Understand Future Returns of a Security? [1] | Yiqiao Yin | Winter 2014 |
Note:
[1] Original edition published in Journal of Undergraduate Research Fall 2013. Volume 12. Issue 1. Available online JUR at University of Rochester.
[2] Data from Wharton Research Data Service and Ken French Data Library.
[3] Original edition published in Columbia Undergraduate Science Journal. Volume 11. Spring 2017. pp.4-7. Available online CUSJ at Columbia University.
[4] Proprietary information. Contact me via LinkedIn if you are interested.
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