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Chia-Yu Hsu
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2020 – today
- 2024
- [j46]Runliang Dou, Guofang Nan, Ziqian Wei, Chia-Yu Hsu:
Value co-creation in group enterprises: an evolutionary game theory-based analysis. Int. J. Prod. Res. 62(17): 6186-6210 (2024) - [j45]Wenwen Li
, Chia-Yu Hsu
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. Remote. Sens. 16(5): 797 (2024) - [j44]Chia-Yu Hsu, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata:
Designing data-informed support for building learning habits in the Japanese K12 context. Res. Pract. Technol. Enhanc. Learn. 20: 14 (2024) - [c15]Chia-Yu Hsu, Izumi Horikoshi, Huiyong Li, Rwitajit Majumdar, Hiroaki Ogata:
Evaluating Productivity of Learning Habits Using Math Learning Logs: Do K12 Learners Manage Their Time Effectively? EC-TEL (1) 2024: 168-178 - [c14]Chia-Yu Hsu, I-Hsiang Wang:
On the Optimal Tradeoffs among Error Exponents in Active Sequential Multiple Hypothesis Testing. ISIT 2024: 1468-1473 - [i8]Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Yezhou Yang, Hyunho Lee, Anna Liljedahl, Chandi Witharana, Yili Yang, Brendan M. Rogers, Samantha T. Arundel, Matthew B. Jones, Kenton McHenry, Patricia Solís:
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. CoRR abs/2401.08787 (2024) - [i7]Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Peter Kedron:
GeoAI Reproducibility and Replicability: a computational and spatial perspective. CoRR abs/2404.10108 (2024) - [i6]Chia-Yu Hsu, I-Hsiang Wang:
Tradeoffs among Action Taking Policies Matter in Active Sequential Multi-Hypothesis Testing: the Optimal Error Exponent Region. CoRR abs/2405.06554 (2024) - [i5]Chia-Yu Hsu, Wenwen Li, Sizhe Wang:
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability. CoRR abs/2409.00489 (2024) - 2023
- [j43]Chia-Yu Hsu
Virtual metrology of material removal rate using a one-dimensional convolutional neural network-based bidirectional long short-term memory network with attention. Comput. Ind. Eng. 186: 109701 (2023) - [j42]Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu:
GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning. GeoInformatica 27(3): 619-640 (2023) - [j41]Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu:
Correction to: GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning. GeoInformatica 27(3): 643 (2023) - [j40]Chia-Yu Hsu, Wenwen Li:
Explainable GeoAI: can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection. Int. J. Geogr. Inf. Sci. 37(5): 963-987 (2023) - [j39]Chia-Yu Hsu
Supporting "time awareness" in self-regulated learning: How do students allocate time during exam preparation? Smart Learn. Environ. 10(1): 21 (2023) - [c13]Wenwen Li
Assessment of a new GeoAI foundation model for flood inundation mapping. GeoAI@SIGSPATIAL 2023: 102-109 - [i4]Chia-Yu Hsu, Wenwen Li:
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection. CoRR abs/2303.09660 (2023) - [i3]Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Chandi Witharana, Anna Liljedahl:
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features. CoRR abs/2306.05341 (2023) - [i2]Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel:
Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping. CoRR abs/2309.14500 (2023) - 2022
- [j38]Chia-Yu Hsu, Tone-Yau Huang:
Second-Ordered Parametric Duality for the Multi-Objective Programming Problem in Complex Space. Axioms 11(12): 717 (2022) - [j37]Wenwen Li, Chia-Yu Hsu
GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography. ISPRS Int. J. Geo Inf. 11(7): 385 (2022) - [j36]Chia-Yu Hsu
Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification. J. Intell. Manuf. 33(3): 831-844 (2022) - [j35]Shu-Kai S. Fan
Key Feature Identification for Monitoring Wafer-to-Wafer Variation in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. 19(3): 1530-1541 (2022) - [c12]Chia-Yu Hsu, Rwitajit Majumdar
Extensive Reading at Home: Extracting Self-directed Reading Habits from Learning Logs. AIED (1) 2022: 614-619 - [c11]Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Chandi Witharana, Anna Liljedahl:
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons. GeoAI@SIGSPATIAL 2022: 62-65 - [c10]Chia-Yu Hsu, Ching-Fang Li, I-Hsiang Wang:
On Universal Sequential Classification from Sequentially Observed Empirical Statistics. ITW 2022: 642-647 - 2021
- [j34]Qiuhong Zhao, Runliang Dou
Applications of new industrial engineering methodologies. Comput. Ind. Eng. 159: 107479 (2021) - [j33]Li Li, Yong Wang
L-measure evaluation metric for fake information detection models with binary class imbalance. Enterp. Inf. Syst. 15(10): 1587-1606 (2021) - [j32]Chin-Hui Lai
Rating prediction based on combination of review mining and user preference analysis. Inf. Syst. 99: 101742 (2021) - [j31]Chia-Yu Hsu
Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing. J. Intell. Manuf. 32(3): 823-836 (2021) - [j30]Chia-Yu Hsu
Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection. Remote. Sens. 13(11): 2116 (2021) - [j29]Shu-Kai S. Fan
A New Double Exponentially Weighted Moving Average Run-to-Run Control Using a Disturbance-Accumulating Strategy for Mixed-Product Mode. IEEE Trans Autom. Sci. Eng. 18(4): 1846-1860 (2021) - [i1]Chia-Yu Hsu, Wenwen Li:
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection. CoRR abs/2103.04009 (2021) - 2020
- [j28]Shu-Kai S. Fan, Chia-Yu Hsu, Chih-Hung Jen, Kuan-Lung Chen, Li-Ting Juan:
Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes. Adv. Eng. Informatics 46: 101166 (2020) - [j27]Shu-Kai S. Fan, Chia-Yu Hsu, Chih-Hung Jen, Kuan-Lung Chen, Li-Ting Juan:
Corrigendum to "Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes" [Adv. Eng. Informat. 46 (2020) 101166]. Adv. Eng. Informatics 46: 101178 (2020) - [j26]Chia-Yu Hsu, Wei-Ju Chen, Ju-Chien Chien:
Similarity matching of wafer bin maps for manufacturing intelligence to empower Industry 3.5 for semiconductor manufacturing. Comput. Ind. Eng. 142: 106358 (2020) - [j25]Chia-Yu Hsu
A two-phase non-dominated sorting particle swarm optimization for chip feature design to improve wafer exposure effectiveness. Comput. Ind. Eng. 147: 106669 (2020) - [j24]Wenwen Li
Automated terrain feature identification from remote sensing imagery: a deep learning approach. Int. J. Geogr. Inf. Sci. 34(4): 637-660 (2020) - [j23]Shu-Kai S. Fan
Data-Driven Approach for Fault Detection and Diagnostic in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. 17(4): 1925-1936 (2020) - [c9]Chia-Yu Hsu, Wenwen Li:
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection. BMVC 2020 - [c8]Chia-Yu Hsu, Weijane Lin
Designing and Developing a Sandbox-Style Tangible AR for Geoscience Learning. HCI (13) 2020: 281-290
2010 – 2019
- 2019
- [c7]Wei Kuang Lai, Chia-Yu Hsu, Yu-Po Kuo:
QoS-guaranteed User Association and Resource Allocation with CoMP JT in Ultra-Dense Networks. APNOMS 2019: 1-6 - 2018
- [j22]Runliang Dou
Foreword: Smart manufacturing, innovative product and service design to empower Industry 4.0. Comput. Ind. Eng. 125: 514-516 (2018) - [j21]Lin Li, Chee Shin Yeo, Chia-Yu Hsu, Liang-Chih Yu, K. Robert Lai:
Agent-based fuzzy constraint-directed negotiation for service level agreements in cloud computing. Clust. Comput. 21(2): 1349-1363 (2018) - [j20]Runliang Dou
Industry Applications of Computational Intelligence: Preface. Int. J. Comput. Intell. Syst. 11(1): 803-804 (2018) - [c6]Tsai-Hsuan Tsai, Hsien-Tsung Chang
A Personal Emotion-Based Recipe Recommendation Mobile Social Platform: Mood Canteen. HCI (8) 2018: 574-582 - 2017
- [j19]Hsiu-Chuan Wei, Jui-Ling Yu
Periodically Pulsed Immunotherapy in a Mathematical Model of Tumor, CD4+ T Cells, and Antitumor Cytokine Interactions. Comput. Math. Methods Medicine 2017: 2906282:1-2906282:12 (2017) - [j18]Chia-Yu Hsu, Sirirat Sae Lim, Chin-Sheng Yang:
Data mining for enhanced driving effectiveness: an eco-driving behaviour analysis model for better driving decisions. Int. J. Prod. Res. 55(23): 7096-7109 (2017) - [c5]Wenwen Li, Bin Zhou, Chia-Yu Hsu
Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection. GeoAI@SIGSPATIAL 2017: 33-36 - 2016
- [j17]Chia-Yu Hsu, Bo-Ruei Kao, Van Lam Ho, Lin Li, K. Robert Lai:
An agent-based fuzzy constraint-directed negotiation model for solving supply chain planning and scheduling problems. Appl. Soft Comput. 48: 703-715 (2016) - [j16]Chen-Fu Chien
Semiconductor manufacturing intelligence and automation. Comput. Ind. Eng. 99: 315-317 (2016) - [j15]Xiaosong Zhao, Chia-Yu Hsu, Pei-Chann Chang
A genetic algorithm for the multi-objective optimization of mixed-model assembly line based on the mental workload. Eng. Appl. Artif. Intell. 47: 140-146 (2016) - [j14]Chia-Yu Hsu, Bo-Ruei Kao, Van Lam Ho, K. Robert Lai:
Agent-based fuzzy constraint-directed negotiation mechanism for distributed job shop scheduling. Eng. Appl. Artif. Intell. 53: 140-154 (2016) - [j13]Chia-Yu Hsu, Yuh-Show Tsai, Cheng-Shiang Yau, Hung-Hai Shie, Chu-Ming Wu:
Test-Retest Reliability of an Automated Infrared-Assisted Trunk Accelerometer-Based Gait Analysis System. Sensors 16(8): 1156 (2016) - 2015
- [j12]Chia-Yu Hsu, Pei-Chann Chang
A linkage mining in block-based evolutionary algorithm for permutation flowshop scheduling problem. Comput. Ind. Eng. 83: 159-171 (2015) - [j11]Chen-Fu Chien
A novel approach to hedge and compensate the critical dimension variation of the developed-and-etched circuit patterns for yield enhancement in semiconductor manufacturing. Comput. Oper. Res. 53: 309-318 (2015) - [c4]Chia-Yu Hsu:
An Analytic Framework of Design for Semiconductor Manufacturing. AP-BPM 2015: 128-137 - 2014
- [j10]Kuo-Yi Lin, Chia-Yu Hsu, Hui-Chun Yu:
A virtual metrology approach for maintenance compensation to improve yield in semiconductor manufacturing. Int. J. Comput. Intell. Syst. 7(sup2): 66-73 (2014) - [j9]Chen-Fu Chien
Manufacturing intelligence and innovation for digital manufacturing and operational excellence. J. Intell. Manuf. 25(5): 845-847 (2014) - [j8]Chia-Yu Hsu:
Integrated data envelopment analysis and neural network model for forecasting performance of wafer fabrication operations. J. Intell. Manuf. 25(5): 945-960 (2014) - [j7]Chen-Fu Chien
Overlay Error Compensation Using Advanced Process Control With Dynamically Adjusted Proportional-Integral R2R Controller. IEEE Trans Autom. Sci. Eng. 11(2): 473-484 (2014) - [c3]Lin-Huang Chang, Chia-Yu Hsu, H. F. Chang, Tsung-Han Lee:
Design and implementation of semi-dynamic multi-channel transceiver in WSNs. SMC 2014: 2082-2087 - 2013
- [j6]Chen-Fu Chien
Overall Wafer Effectiveness (OWE): A novel industry standard for semiconductor ecosystem as a whole. Comput. Ind. Eng. 65(1): 117-127 (2013) - 2012
- [j5]Chen-Fu Chien
Manufacturing intelligence to forecast and reduce semiconductor cycle time. J. Intell. Manuf. 23(6): 2281-2294 (2012) - 2011
- [j4]Chen-Fu Chien
UNISON analysis to model and reduce step-and-scan overlay errors for semiconductor manufacturing. J. Intell. Manuf. 22(3): 399-412 (2011) - [c2]Chen-Fu Chien
Manufacturing intelligence for determining machine subgroups to enhance yield in semiconductor manufacturning. WSC 2011: 1898-1907
2000 – 2009
- 2009
- [j3]Chun-Fei Hsu, Chao-Ming Chung, Chih-Min Lin, Chia-Yu Hsu:
Adaptive CMAC neural control of chaotic systems with a PI-type learning algorithm. Expert Syst. Appl. 36(9): 11836-11843 (2009) - [j2]Chun-Fei Hsu, Chia-Yu Hsu, Chih-Min Lin, Tsu-Tian Lee:
Intelligent controller design with UUB stability using Gaussian wavelet neural networks. Int. J. Intell. Comput. Cybern. 2(1): 102-119 (2009) - 2008
- [c1]Chun-Fei Hsu, Tsu-Tian Lee, Chia-Yu Hsu, Chih-Min Lin:
Neurocontroller design and stability analysis for antilock braking systems. SMC 2008: 3388-3393 - 2006
- [j1]Chen-Fu Chien
A novel method for determining machine subgroups and backups with an empirical study for semiconductor manufacturing. J. Intell. Manuf. 17(4): 429-439 (2006)
Coauthor Index
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