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T. Yong-Jin Han

university of science & technology liaoning

35H-index
111Paper Count
7.5KCitation Count
Published Papers 46
Publication Date
Wheat Yield Prediction Based on Parallel CNN-LSTM-Attention with Transfer Learning Model
err2025-12-05
err0
errOAAI
errCaixia Song; Tengao Liu; Weiguang Ning; Tong Xu; Shuhui Song; Zifei Li; Shuyun Ouyang; Xinquan Song; Taoyang Han; Zichen Zhang; Tianyu Chen; Jinbao Xie
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Multimodal Feature Fusion for Bone Toxicity Prediction and Local Platform
err2025-11-01
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PREAI
errPan, Zhijie; Yang, Xin; Wang, Churong; Han, Tianming; Zhao, Qi
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Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data
err2025-01-30
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errOAAI
errLee, Soyeon; Han, Ye Ji; Park, Hyun Joon; Lee, Byung Hoon; Son, Dahee; Kim, Soyeon; Yang, Hyeonjong; Han, Taejun; Han, Sung Won
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Accelerating the design of lattice structures using machine learning
err2024-06-14
err6
errOAAI
errGongora, Aldair E.; Friedman, Caleb; Newton, Deirdre K.; Yee, Timothy D.; Doorenbos, Zachary; Giera, Brian; Duoss, Eric B.; Han, Thomas Y. -J.; Sullivan, Kyle; Rodriguez, Jennifer N.
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Deep learning of electrochemical CO2 conversion literature reveals research trends and directions
err2023-01-01
err3
PREAI
errChoi, Jiwoo; Bang, Kihoon; Jang, Suji; Choi, Jaewoong; Ordonez, Juanita; Buttler, David; Hiszpanski, Anna; Yong-Jin Han, T.; Sohn, Seok Su; Lee, Byungju; Lee, Kwang-Ryeol; Han, Sang Soo; Kim, Donghun
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Explainable machine learning in materials science
err2022-09-22
err121
errOAAI
errZhong, Xiaoting; Gallagher, Brian; Liu, Shusen; Kailkhura, Bhavya; Hiszpanski, Anna; Han, T. Yong-Jin
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Attribution-Driven Explanation of the Deep Neural Network Model via Conditional Microstructure Image Synthesis
err2022-01-07
err3
errOAAI
errLiu, Shusen; Kailkhura, Bhavya; Zhang, Jize; Hiszpanski, Anna M.; Robertson, Emily; Loveland, Donald; Zhong, Xiaoting; Han, T. Yong-Jin
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A study of real-world micrograph data quality and machine learning model robustness
err2021-10-05
err13
errOAAI
errZhong, Xiaoting; Gallagher, Brian; Eves, Keenan; Robertson, Emily; Mundhenk, T. Nathan; Han, T. Yong-Jin
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On-Demand and Location Selective Particle Assembly via Electrophoretic Deposition for Fabricating Structures with Particleto-Particle Precision (vol 31, pg 3563, 2015)
err2021-06-08
err0
PREAI
errQian, Fang; Pascall, Andrew J.; Bora, Mihail; Han, T. Yong-Jin; Guo, Shirui; Ly, Sonny S.; Worsley, Marcus A.; Kuntz, Joshua D.; Olson, Tammy Y.
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Leveraging Uncertainty from Deep Learning for Trustworthy Material Discovery Workflows
err2021-05-04
err8
errOAAI
errZhang, Jize; Kailkhura, Bhavya; Han, T. Yong-Jin
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Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning
err2021-04-26
err54
errOAAI
errNguyen, Phan; Loveland, Donald; Kim, Joanne T.; Karande, Piyush; Hiszpanski, Anna M.; Han, T. Yong-Jin
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Size-Dependent Alloying Ability of Immiscible W-Cu Bimetallic Nanoparticles: A Theoretical and Experimental Study
err2021-04-20
err6
errOAAI
errZhang, Hongbo; Liu, Tao; Zhao, Siqi; Xu, Zhanyuan; Lv, Yaozha; Fan, Jinglian; Han, Yong
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Data-driven materials research enabled by natural language processing and information extraction
err2020-12-21
err167
errOAAI
errOlivetti, Elsa A.; Cole, Jacqueline M.; Kim, Edward; Kononova, Olga; Ceder, Gerbrand; Han, Thomas Yong-Jin; Hiszpanski, Anna M.
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