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Chia-Yu Hsu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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
, 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. 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) - [i7]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) - [i6]Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Peter Kedron:
GeoAI Reproducibility and Replicability: a computational and spatial perspective. CoRR abs/2404.10108 (2024) - [i5]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) - 2023
- [j43]Chia-Yu Hsu
, Yi-Wei Lu:
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
, Izumi Horikoshi
, Huiyong Li
, Rwitajit Majumdar
, Hiroaki Ogata:
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
, Hyunho Lee
, Sizhe Wang
, Chia-Yu Hsu
, Samantha T. Arundel
:
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
, Ju-Chien Chien:
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
, Chia-Yu Hsu
, Du-Ming Tsai
, Mabel C. Chou
, Chih-Hung Jen
, Jen-Hsuan Tsou:
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
, Huiyong Li
, Yuanyuan Yang, Hiroaki Ogata:
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
, Kuo-Yi Lin, Chia-Yu Hsu:
Applications of new industrial engineering methodologies. Comput. Ind. Eng. 159: 107479 (2021) - [j33]Li Li, Yong Wang
, Chia-Yu Hsu, Yibin Li, Kuo-Yi Lin
:
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
, Chia-Yu Hsu:
Rating prediction based on combination of review mining and user preference analysis. Inf. Syst. 99: 101742 (2021) - [j31]Chia-Yu Hsu
, Wei-Chen Liu:
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
, Wenwen Li, Sizhe Wang:
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
, Chih-Hung Jen
, Chia-Yu Hsu
, Yu-Ling Liao:
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
, Shih-Chang Chiu:
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
, Chia-Yu Hsu
:
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
, Chia-Yu Hsu
, Du-Ming Tsai
, Fei He
, Chun-Chung Cheng:
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
, Hsiu-Ping Yueh
:
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
, Zhen He, Chia-Yu Hsu:
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
, Chen-Fu Chien, Imed Kacem
, Chia-Yu Hsu:
Industry Applications of Computational Intelligence: Preface. Int. J. Comput. Intell. Syst. 11(1): 803-804 (2018) - [c6]Tsai-Hsuan Tsai, Hsien-Tsung Chang, Chia-Yu Hsu, Shu-Yu Lin, Wei-Cheng Yan, Yi-Cheng Chen:
A Personal Emotion-Based Recipe Recommendation Mobile Social Platform: Mood Canteen. HCI (8) 2018: 574-582 - 2017
- [j19]Hsiu-Chuan Wei, Jui-Ling Yu
, Chia-Yu Hsu:
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
, Yixing Li, Fengbo Ren
:
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, Chia-Yu Hsu, James R. Morrison, Runliang Dou
:
Semiconductor manufacturing intelligence and automation. Comput. Ind. Eng. 99: 315-317 (2016) - [j15]Xiaosong Zhao, Chia-Yu Hsu, Pei-Chann Chang
, Li Li:
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
, Meng-Hui Chen:
A linkage mining in block-based evolutionary algorithm for permutation flowshop scheduling problem. Comput. Ind. Eng. 83: 159-171 (2015) - [j11]Chen-Fu Chien
, Ying-Jen Chen
, Chia-Yu Hsu
:
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, Mitsuo Gen, Yongjiang Shi, Chia-Yu Hsu:
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
, Ying-Jen Chen
, Chia-Yu Hsu, Hung-Kai Wang:
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
, Chia-Yu Hsu, Kuo-Hao Chang
:
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
, Chia-Yu Hsu, Chih-Wei Hsiao:
Manufacturing intelligence to forecast and reduce semiconductor cycle time. J. Intell. Manuf. 23(6): 2281-2294 (2012) - 2011
- [j4]Chen-Fu Chien
, Chia-Yu Hsu:
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, Ying-Jen Chen, Chia-Yu Hsu, Yi-Hao Yeh:
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
, Chia-Yu Hsu:
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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