Minghao Piao

25 papers C 3Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Spatial-frequency complementary fusion with multi-level feature ensemble for infrared and visible image fusion.
Digit. Signal Process.
Kanglin Jin, Mengtong Guo, Minghao Piao
2025 J jnl
BAN: A Boundary-Aware Network for Accurate Colorectal Polyp Segmentation.
IEEE Signal Process. Lett.
Nengxiang Zhang, Baojiang Zhong, Minghao Piao, Kai-Kuang Ma
2025 J jnl
Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning.
J. Intell. Manuf.
Yi Sheng, Jinda Yan, Minghao Piao
2025 J jnl
Multi-scale guidance diffusion network for wafer map defect recognition.
Expert Syst. Appl.
Zuxiang Long, Jinda Yan, Minghao Piao
2025 J jnl
Position-Aware Self-Supervised Learning for Wafer Map Defect Pattern Recognition.
IEEE Trans. Instrum. Meas.
Wei Yuan, Jinda Yan, Minghao Piao
2024 J jnl
Antecedent hash modality learning and representation for enhanced wafer map defect pattern recognition.
Expert Syst. Appl.
Minghao Piao, Cheng Hao Jin, Baojiang Zhong
2024 J jnl
Image Hash Layer Triggered CNN Framework for Wafer Map Failure Pattern Retrieval and Classification.
ACM Trans. Knowl. Discov. Data
Minghao Piao, Yi Sheng, Jinda Yan, Cheng Hao Jin
2023 J jnl
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features.
J. Intell. Manuf.
Minghao Piao, Cheng Hao Jin
2023 J jnl
Semantic Segmentation-Based Wafer Map Mixed-Type Defect Pattern Recognition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jinda Yan, Yi Sheng, Minghao Piao
2020 J jnl
Wafer map defect pattern classification based on convolutional neural network features and error-correcting output codes.
J. Intell. Manuf.
Cheng Hao Jin, Hyun-Jin Kim, Yongjun Piao, Meijing Li, Minghao Piao
2019 J jnl
Framework of an IoT-based Industrial Data Management for Smart Manufacturing.
J. Sens. Actuator Networks
Muhammad Saqlain, Minghao Piao, Youngbok Shim, Jong Yun Lee
2019 J jnl
Symmetrical Uncertainty-Based Feature Subset Generation and Ensemble Learning for Electricity Customer Classification.
Symmetry
Minghao Piao, Yongjun Piao, Jong Yun Lee
2017 J jnl
Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles.
Comput. Biol. Medicine
Yongjun Piao, Minghao Piao, Keun Ho Ryu
2016 J jnl
A Data Mining Approach for Cardiovascular Disease Diagnosis Using Heart Rate Variability and Images of Carotid Arteries.
Symmetry
Hyeongsoo Kim, Ibrahim M. Ishag, Minghao Piao, Taeil Kwon, Keun Ho Ryu
2016 J jnl
Subspace Frequency Analysis-Based Field Indices Extraction for Electricity Customer Classification.
ACM Trans. Inf. Syst.
Minghao Piao, Keun Ho Ryu
2014 — conf
One pass preprocessing for token-based source code clone detection.
iCAST
Dingkun Li, Minghao Piao, Ho-Sun Shon, Keun Ho Ryu, Incheon Paik
2013 — ch.
Emerging Pattern Based Prediction of Heart Diseases and Powerline Safety.
Contrast Data Mining
Keun Ho Ryu, Dong Gyu Lee, Minghao Piao
2012 J jnl
An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data.
Bioinform.
Yongjun Piao, Minghao Piao, Kiejung Park, Keun Ho Ryu
2011 — conf
Enumeration Tree Based Emerging Patterns Mining by Using Two Different Supports.
ICHIT (1)
Minghao Piao, Jong Bum Lee, Ho-Sun Shon, Unil Yun, Keun Ho Ryu
2010 J jnl
IMTAR: Incremental Mining of General Temporal Association Rules.
J. Inf. Process. Syst.
Anour F. A. Dafa-Alla, Ho-Sun Shon, Khalid E. K. Saeed, Minghao Piao, Unil Yun, Kyung-Joo Cheoi, Keun Ho Ryu
2010 C conf
Incremental Emerging Patterns Mining for Identifying Safe and Non-safe Power Load Lines.
CIT
Jong Bum Lee, Minghao Piao, Keun Ho Ryu
2010 C conf
Using Significant Classification Rules to Analyze Korean Customers' Power Consumption Behavior: Incremental Tree Induction using Cascading-and-Sharing Method.
CIT
Minghao Piao, Meijing Li, Keun Ho Ryu
2009 C conf
Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease.
ADMA
Minghao Piao, Jong Bum Lee, Khalid E. K. Saeed, Keun Ho Ryu
2009 — conf
Emerging Patterns Based Methodology for Prediction of Patients with Myocardial Ischemia.
FSKD (1)
Minghao Piao, Heon Gyu Lee, Gyoyong Sohn, Gouchol Pok, Keun Ho Ryu
2008 — conf
Application of Classification Methods for Forecasting Mid-Term Power Load Patterns.
ICIC (3)
Minghao Piao, Heon Gyu Lee, Jin Hyoung Park, Keun Ho Ryu