Yihuang Kang

37 papers A* 1B 2Misc 10Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback.
CoRR
En-Qi Tseng, Pei-Cing Huang, Chan Hsu, Peng-Yi Wu, Chan-Tung Ku, Yihuang Kang
2025 Misc conf
LLM-Based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference.
IRI
Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang
2025 J jnl
LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference.
CoRR
Po-Han Lee, Yu-Cheng Lin, Chan-Tung Ku, Chan Hsu, Pei-Cing Huang, Ping-Hsun Wu, Yihuang Kang
2025 Misc conf
Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework.
IRI
Peng-Yi Wu, Pei-Cing Huang, Ting-Yu Chen, Chantung Ku, Ming-Yen Lin, Yihuang Kang
2025 J jnl
Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework.
CoRR
Peng-Yi Wu, Pei-Cing Huang, Ting-Yu Chen, Chantung Ku, Ming-Yen Lin, Yihuang Kang
2025 Misc conf
Towards Simulating Social Influence Dynamics with LLM-Based Multi-Agents.
IRI
Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang
2025 J jnl
Towards Simulating Social Influence Dynamics with LLM-based Multi-agents.
CoRR
Hsien-Tsung Lin, Pei-Cing Huang, Chan-Tung Ku, Chan Hsu, Pei-Xuan Shieh, Yihuang Kang
2024 J jnl
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation.
CoRR
Chan Hsu, Jun-Ting Wu, Yihuang Kang
2024 B conf
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback.
IEEE Big Data
En-Qi Tseng, Pei-Cing Huang, Chan Hsu, Peng-Yi Wu, Chan-Tung Ku, Yihuang Kang
2024 J jnl
Subgroup Analysis via Model-based Rule Forest.
CoRR
I-Ling Cheng, Chan Hsu, Chan-Tung Ku, Pei-Ju Lee, Yihuang Kang
2024 — conf
Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models.
MIPR
Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang
2024 J jnl
Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models.
CoRR
Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang
2023 Misc conf
A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity.
IRI
Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang
2023 — conf
Toward Transparent Sequence Models with Model-Based Tree Markov Model.
MIPR
Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang
2023 J jnl
Toward Transparent Sequence Models with Model-Based Tree Markov Model.
CoRR
Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang
2022 A* conf
A Machine Learning Approach to Model HRI Research Trends in 2010~2021.
HRI
Chan Hsu, Ching-Chih Tsao, Yu-Liang Weng, Cheng-Yi Tang, Yu-Wen Chang, Yihuang Kang, Shih-Yi Chien
2022 J jnl
Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers.
Int. J. Hum. Comput. Stud.
Shih-Yi Chien, Shiau-Fang Chao, Yihuang Kang, Chan Hsu, Meng-Hsuan Yu, Chan-Tung Ku
2021 J jnl
Data Analysis of the Risks of Type 2 Diabetes Mellitus Complications before Death Using a Data-Driven Modelling Approach: Methodologies and Challenges in Prolonged Diseases.
Inf.
Ming-Yen Lin, Jia-Sin Liu, Tzu-Yang Huang, Ping-Hsun Wu, Yi-Wen Chiu, Yihuang Kang, Chih-Cheng Hsu, Shang-Jyh Hwang, Hsing Paul Luh
2021 J jnl
Detection of Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests.
SN Comput. Sci.
Yihuang Kang, Sheng-Tai Huang, Pinghsung Wu
2021 Misc conf
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning.
IRI
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang
2021 J jnl
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning.
CoRR
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang
2020 Misc conf
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests.
IRI
Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang
2020 J jnl
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests.
CoRR
Bowen Kuo, Yihuang Kang, Pinghsung Wu, Sheng-Tai Huang, Yajie Huang
2020 J jnl
Topic Diffusion Discovery Based on Deep Non-negative Autoencoder.
CoRR
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng
2020 Misc conf
Topic Diffusion Discovery based on Deep Non-negative Autoencoder.
IRI
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung, Bowen Kuo, I-Ling Cheng
2019 — conf
A Medical Decision Support System Using Text Mining to Compare Electronic Medical Records.
HCI (24)
Pei-Ju Lee, Yen-Hsien Lee, Yihuang Kang, Ching-Ping Chao
2019 B conf
A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems.
MDM
Keng-Pei Lin, Yihuang Kang, William S. Chao
2019 Misc conf
Towards Interpretable Deep Extreme Multi-Label Learning.
IRI
Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee
2019 J jnl
Towards Interpretable Deep Extreme Multi-label Learning.
CoRR
Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee
2018 J jnl
Process Discovery using Classification Tree Hidden Semi-Markov Model.
CoRR
Yihuang Kang, Vladimir Zadorozhny
2018 J jnl
Process Monitoring Using Maximum Sequence Divergence.
CoRR
Yihuang Kang, Vladimir Zadorozhny
2018 Misc conf
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization.
IRI
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
2018 J jnl
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization.
CoRR
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
2018 — conf
Understanding Students' Intentions in Learning Visual Robotic Programming: An Integration of IS Success Model, Utilitarian Value and Hedonic Value.
PACIS
Shih-Yi Chien, Sharon I-Han Hsiao, Yihuang Kang
2017 — conf
Forecasting Company Revenue Trend Using Financial News.
PACIS
Hsin-Ching Huang, San-Yih Hwang, Shanlin Chang, Yihuang Kang
2016 Misc conf
Process Discovery Using Classification Tree Hidden Semi-Markov Model.
IRI
Yihuang Kang, Vladimir Zadorozhny
2016 J jnl
Process monitoring using maximum sequence divergence.
Knowl. Inf. Syst.
Yihuang Kang, Vladimir Zadorozhny