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Xiaochen Zheng
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2020 – today
- 2024
- [j17]Xiaochen Zheng, Xiaodu Hu, Jinzhi Lu, Rebeca Arista, Joachim Lentes, Dimitris Kiritsis:
An aircraft assembly process formalism and verification method based on semantic modeling and MBSE. Adv. Eng. Informatics 60: 102412 (2024) - [j16]Lei Zhang, Yanjin Zhu, Qin Ni, Xiaochen Zheng, Zhenyu Gao, Qing Zhao:
Local/Global explainability empowered expert-involved frameworks for essential tremor action recognition. Biomed. Signal Process. Control. 95: 106457 (2024) - [j15]Jinzhi Lu, George J. Tsinarakis, Nikolaos Sarantinoudis, George Arampatzis, Xiaochen Zheng, Dimitris Kiritsis:
A semantic model-based systems engineering approach for assessing the operational performance of metal forming process. Comput. Ind. Eng. 190: 110042 (2024) - [j14]Xiaochen Zheng, Xiaodu Hu, Rebeca Arista, Jinzhi Lu, Jyri Sorvari, Joachim Lentes, Fernando Ubis, Dimitris Kiritsis:
A semantic-driven tradespace framework to accelerate aircraft manufacturing system design. J. Intell. Manuf. 35(1): 175-198 (2024) - [c13]Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan:
EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation. CIKM 2024: 3549-3559 - [c12]Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma, Chengwei Pan:
PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations. CIKM 2024: 3560-3569 - [c11]Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer:
Simple Contrastive Representation Learning for Time Series Forecasting. ICASSP 2024: 6005-6009 - [i17]Zeyu Yang, Zhao Meng, Xiaochen Zheng, Roger Wattenhofer:
Assessing Adversarial Robustness of Large Language Models: An Empirical Study. CoRR abs/2405.02764 (2024) - [i16]Xiaochen Zheng, Manuel Schürch, Xingyu Chen, Maria Angeliki Komninou, Reto Schüpbach, Ahmed Allam, Jan Bartussek, Michael Krauthammer:
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes. CoRR abs/2405.03327 (2024) - [i15]Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan:
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. CoRR abs/2406.00036 (2024) - [i14]Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma:
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. CoRR abs/2407.18525 (2024) - [i13]Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Tianlong Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao, Liantao Ma:
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. CoRR abs/2410.02551 (2024) - 2023
- [c10]Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan:
MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection. WACV 2023: 6221-6231 - [i12]Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer:
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting. CoRR abs/2303.18205 (2023) - [i11]Ju Wu, Xiaochen Zheng, Marco Madlena, Dimitrios Kyritsis:
A Semantic-driven Approach for Maintenance Digitalization in the Pharmaceutical Industry. CoRR abs/2310.15417 (2023) - [i10]Xingyu Chen, Xiaochen Zheng, Amina Mollaysa, Manuel Schürch, Ahmed Allam, Michael Krauthammer:
Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series. CoRR abs/2311.07744 (2023) - 2022
- [j13]Qin Ni, Zhuo Fan, Lei Zhang, Bo Zhang, Xiaochen Zheng, Yuping Zhang:
Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders. Int. J. Comput. Intell. Syst. 15(1): 1 (2022) - [j12]Joze M. Rozanec, Jinzhi Lu, Jan Rupnik, Maja Skrjanc, Dunja Mladenic, Blaz Fortuna, Xiaochen Zheng, Dimitris Kiritsis:
Actionable cognitive twins for decision making in manufacturing. Int. J. Prod. Res. 60(2): 452-478 (2022) - [j11]Xiaochen Zheng, Jinzhi Lu, Dimitris Kiritsis:
The emergence of cognitive digital twin: vision, challenges and opportunities. Int. J. Prod. Res. 60(24): 7610-7632 (2022) - [j10]Jingqi Chen, Guoxin Wang, Jinzhi Lu, Xiaochen Zheng, Dimitris Kiritsis:
Model-based system engineering supporting production scheduling based on satisfiability modulo theory. J. Ind. Inf. Integr. 27: 100329 (2022) - [j9]Jinzhi Lu, Junda Ma, Xiaochen Zheng, Guoxin Wang, Han Li, Dimitris Kiritsis:
Design Ontology Supporting Model-Based Systems Engineering Formalisms. IEEE Syst. J. 16(4): 5465-5476 (2022) - [c9]Mengru Dong, Jinzhi Lu, Guoxin Wang, Xiaochen Zheng, Dimitris Kiritsis:
Model-based Systems Engineering Papers Analysis based on Word Cloud Visualization. SysCon 2022: 1-7 - [i9]Xiaodu Hu, Rebeca Arista, Xiaochen Zheng, Joachim Lentes, Jyri Sorvari, Jinzhi Lu, Fernando Ubis, Dimitris Kiritsis:
Ontology-based system to support industrial system design for aircraft assembly. CoRR abs/2204.10636 (2022) - [i8]Dehua Zheng, Xiaochen Zheng, Laurence T. Yang, Yuan Gao, Chenlu Zhu, Yiheng Ruan:
MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection. CoRR abs/2210.06361 (2022) - [i7]Xiaochen Zheng:
Rare Wildlife Recognition with Self-Supervised Representation Learning. CoRR abs/2211.05636 (2022) - 2021
- [c8]Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia:
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. ICCVW 2021: 732-741 - [c7]Han Li, Jinzhi Lu, Xiaochen Zheng, Guoxin Wang, Dimitris Kiritsis:
Supporting Digital Twin Integration Using Semantic Modeling and High-Level Architecture. APMS (4) 2021: 228-236 - [c6]Xiaochen Zheng, Jinzhi Lu, Rebeca Arista, Xiaodu Hu, Joachim Lentes, Fernando Ubis, Jyri Sorvari, Dimitris Kiritsis:
Development of an Application Ontology for Knowledge Management to Support Aircraft Assembly System Design. JOWO 2021 - [i6]Joze M. Rozanec, Jinzhi Lu, Jan Rupnik, Maja Skrjanc, Dunja Mladenic, Blaz Fortuna, Xiaochen Zheng, Dimitris Kiritsis:
Actionable Cognitive Twins for Decision Making in Manufacturing. CoRR abs/2103.12854 (2021) - [i5]Ye Wang, Yu Chen, Shenyi Wang, Chenhang Zhou, Xiaochen Zheng, Roger Wattenhofer:
Print Your Own Money: A Cash-Like Experience for Digital Payment Systems. CoRR abs/2104.10480 (2021) - [i4]Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia:
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images. CoRR abs/2108.07582 (2021) - 2020
- [j8]Xiaochen Zheng, Hongwei Sun, Xijiang Tian, Ye Li, Gewen He, Fangfang Fan:
Attribute Memory Transfer Network for Unsupervised Cross-Domain Person Re-Identification. IEEE Access 8: 186951-186962 (2020) - [j7]Vitória Piai, Elke De Witte, Joanna Sierpowska, Xiaochen Zheng, Leighton B. Hinkley, Danielle Mizuiri, Robert T. Knight, Mitchel S. Berger, Srikantan S. Nagarajan:
Language Neuroplasticity in Brain Tumor Patients Revealed by Magnetoencephalography. J. Cogn. Neurosci. 32(8): 1497-1507 (2020) - [j6]Shengjing Sun, Xiaochen Zheng, Bing Gong, Jorge García Paredes, Joaquín B. Ordieres Meré:
Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces. Sensors 20(7): 2011 (2020) - [j5]Shengjing Sun, Xiaochen Zheng, Javier Villalba-Diez, Joaquín B. Ordieres Meré:
Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology. Sensors 20(11): 3046 (2020) - [j4]Javier Villalba-Diez, Xiaochen Zheng:
Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems. Sensors 20(20): 5856 (2020) - [c5]Chun Li, Dehua Zheng, Lizheng Liu, Xiaochen Zheng:
A UAV-Based Machine Vision Algorithm for Industrial Gauge Detecting and Display Reading. ACIRS 2020: 109-115 - [c4]Ali Gharaei, Jinzhi Lu, Oliver Stoll, Xiaochen Zheng, Shaun West, Dimitris Kiritsis:
Systems Engineering Approach to Identify Requirements for Digital Twins Development. APMS (1) 2020: 82-90 - [c3]Xiaochen Zheng, Jinzhi Lu, Shengjing Sun, Dimitris Kiritsis:
Decentralized Industrial IoT Data Management Based on Blockchain and IPFS. APMS (2) 2020: 222-229 - [c2]Zhenchao Hu, Jinzhi Lu, Jinwei Chen, Xiaochen Zheng, Dimitrios Kyritsis, Huisheng Zhang:
A Complexity Analysis Approach for Model-based System Engineering. SoSE 2020: 501-506 - [i3]Jinzhi Lu, Xiaochen Zheng, Zhenchao Hu, Huisheng Zhang, Dimitris Kiritsis:
Towards a Decentralized Digital Engineering Assets Marketplace: Empowered by Model-based Systems Engineering and Distributed Ledger Technology. CoRR abs/2005.05415 (2020) - [i2]Jinzhi Lu, Junda Ma, Xiaochen Zheng, Guoxin Wang, Dimitris Kiritsis:
Design Ontology Supporting Model-based Systems-engineering Formalisms. CoRR abs/2010.07627 (2020)
2010 – 2019
- 2019
- [j3]Javier Villalba-Diez, Xiaochen Zheng, Daniel Schmidt, Martin Molina:
Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning. Sensors 19(13): 2841 (2019) - [j2]Shengjing Sun, Xiaochen Zheng, Javier Villalba-Diez, Joaquín B. Ordieres Meré:
Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits. Sensors 19(19): 4157 (2019) - [i1]Jinzhi Lu, Xiaochen Zheng, Ali Gharaei, Kostas Kalaboukas, Dimitris Kiritsis:
Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems. CoRR abs/1912.08547 (2019) - 2018
- [j1]Xiaochen Zheng, Meiqing Wang, Joaquín B. Ordieres Meré:
Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0. Sensors 18(7): 2146 (2018) - [c1]Xiaochen Zheng, Raghava Rao Mukkamala, Ravi Vatrapu, Joaquín B. Ordieres Meré:
Blockchain-based Personal Health Data Sharing System Using Cloud Storage. HealthCom 2018: 1-6
Coauthor Index
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last updated on 2024-12-02 22:29 CET by the dblp team
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