Prof. Chao-Chen Gu, Shanghai Jiao Tong University, China
Based on the provided information, Professor Chaochen Gu appears to be a strong candidate for the Best Researcher Award. Below is a detailed analysis of his qualifications and contributions, formatted with a conclusion.
Publication profile
Google Scholar
Professional Background
Chaochen Gu is currently a Professor at the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. He received his bachelor’s degree from Shandong University in 2007 and his Ph.D. in Mechanical Engineering from Shanghai Jiao Tong University in 2013. His research interests include electromechanical systems, intelligent robots, precision instruments, intelligent machine vision, and advanced motion control.
PublicationsÂ
1.An integrated AHP and VIKOR for design concept evaluation based on rough number
Authors: GN Zhu, J Hu, J Qi, CC Gu, YH Peng
Journal: Advanced Engineering Informatics
Citations: 329
Year: 2015
Conclusion: This work integrates AHP and VIKOR methods for evaluating design concepts, highlighting Gu’s expertise in decision-making processes and design evaluation.
2. Complementary patch for weakly supervised semantic segmentation
Authors: F Zhang, C Gu, C Zhang, Y Dai
Conference: IEEE/CVF International Conference on Computer Vision
Citations: 131
Year: 2021
Conclusion: This publication underscores Gu’s contribution to advancing machine vision and image processing techniques, demonstrating his research impact on computer vision.
3. FCBS model for functional knowledge representation in conceptual design
Authors: CC Gu, J Hu, YH Peng, S Li
Journal: Journal of Engineering Design
Citations: 48
Year: 2012
Conclusion: Gu’s work on functional knowledge representation in design showcases his innovative approach to conceptual design and engineering solutions.
4. Corporate innovation and R&D expenditure disclosures
Authors: C Chen, J Gu, R Luo
Journal: Technological Forecasting and Social Change
Citations: 30
Year: 2022
Conclusion: This research explores the intersection of corporate innovation and R&D expenditure, reflecting Gu’s interdisciplinary approach and impact on business and technology.
5. Imaging Mueller matrix ellipsometry with sub-micron resolution based on back focal plane scanning
Authors: C Chen, X Chen, C Wang, S Sheng, L Song, H Gu, S Liu
Journal: Optics Express
Citations: 26
Year: 2021
Conclusion: This study on ellipsometry techniques indicates Gu’s proficiency in precision instrumentation and optical measurement.
6. SVMs multi-class loss feedback based discriminative dictionary learning for image classification
Authors: BQ Yang, XP Guan, JW Zhu, CC Gu, KJ Wu, JJ Xu
Journal: Pattern Recognition
Citations: 24
Year: 2021
Conclusion: Gu’s involvement in machine learning and image classification research highlights his contributions to the field of artificial intelligence.
7. Adversarial neural networks for basal membrane segmentation of microinvasive cervix carcinoma in histopathology images
Authors: D Wang, C Gu, K Wu, X Guan
Conference: International Conference on Machine Learning and Cybernetics
Citations: 24
Year: 2017
Conclusion: This work demonstrates Gu’s application of neural networks in medical imaging, showcasing his interdisciplinary research in healthcare.
8. Spa-former: Transformer image shadow detection and removal via spatial attention
Authors: XF Zhang, CC Gu, SY Zhu
Journal: arXiv preprint
Citations: 23
Year: 2022
Conclusion: This publication reflects Gu’s innovative approach to transformer models and their application in image processing.
9. Region sampling for robust and rapid autofocus in microscope
Authors: CC Gu, KJ Wu, J Hu, C Hao, XP Guan
Journal: Microscopy Research and Technique
Citations: 23
Year: 2015
Conclusion: Gu’s research in microscope autofocus techniques underscores his expertise in precision instrumentation and imaging technologies.
10. Industrial scene text detection with refined feature-attentive network
Authors: T Guan, C Gu, C Lu, J Tu, Q Feng, K Wu, X Guan – Journal: IEEE Transactions on Circuits and Systems for Video Technology – Citations: 22 – Year: 2022 – Conclusion: This work highlights Gu’s contributions to text detection in industrial scenes, demonstrating his impact on practical applications of machine vision.
11. A novel face recognition method based on IWLD and IWBC
-Authors: BQ Yang, T Zhang, CC Gu, KJ Wu, XP Guan – Journal: Multimedia Tools and Applications – Citations: 19 – Year: 2016 – Conclusion: This publication indicates Gu’s work in face recognition technology, showcasing his contributions to biometric identification.
12. Deep transfer neural network using hybrid representations of domain discrepancy
Authors: C Lu, C Gu, K Wu, S Xia, H Wang, X Guan – Journal: Neurocomputing – Citations: 17 – Year: 2020 – Conclusion: Gu’s research in transfer learning and neural networks demonstrates his ongoing contributions to the field of deep learning.
13. Simultaneous dimensionality reduction and dictionary learning for sparse representation based classification
Authors: BQ Yang, CC Gu, KJ Wu, T Zhang, XP Guan – Journal: Multimedia Tools and Applications – Citations: 17 – Year: 2017 – Conclusion: This work showcases Gu’s expertise in sparse representation and classification, contributing to advancements in data processing and analysis.
14. Recognition of similar objects using simulated prosthetic vision
Authors: J Hu, P Xia, C Gu, J Qi, S Li, Y Peng – Journal: Artificial Organs – Citations: 17 – Year: 2014 – Conclusion: This research demonstrates Gu’s interdisciplinary approach, applying machine vision techniques to assistive technologies.
15. A high precision laser-based autofocus method using biased image plane for microscopy
Authors: CC Gu, H Cheng, KJ Wu, LJ Zhang, XP Guan – Journal: Journal of Sensors – Citations: 15 – Year: 2018 – Conclusion: Gu’s work in laser-based autofocus methods further establishes his expertise in precision instrumentation and optical technologies.
16. SpA-Former: An effective and lightweight transformer for image shadow removalÂ
Authors: X Zhang, Y Zhao, C Gu, C Lu, S Zhu – Conference: International Joint Conference on Neural Networks – Citations: 13 – Year: 2023 – Conclusion: This recent publication highlights Gu’s ongoing research in transformer models and their applications in image enhancement.
17. ECG-based expert-knowledge attention network to tachyarrhythmia recognition
Authors: Y Tao, Z Li, C Gu, B Jiang, Y Zhang – Journal: Biomedical Signal Processing and Control – Citations: 13 – Year: 2022 – Conclusion: Gu’s interdisciplinary research in ECG signal processing demonstrates his contributions to biomedical engineering and healthcare technologies.
18. Viewpoint estimation for workpieces with deep transfer learning from cold to hotÂ
Authors: C Lu, H Wang, C Gu, K Wu, X Guan – Conference: Neural Information Processing – Citations: 12 – Year: 2018 – Conclusion: This publication underscores Gu’s research in viewpoint estimation and transfer learning, showcasing his contributions to industrial applications.
19. Functional case modelling for knowledge-driven conceptual design
Authors: CC Gu, J Hu, YH Peng – Journal: Journal of Engineering Design – Citations: 12 – Year: 2012 – Conclusion: Gu’s work in knowledge-driven conceptual design highlights his innovative approach to engineering design and problem-solving.
20. Enlighten-anything: When segment anything model meets low-light image enhancementÂ
Authors: Q Zhao, X Zhang, H Tang, C Gu, S Zhu – Journal: arXiv preprint – Citations: 11 – Year: 2023 – Conclusion: This recent research demonstrates Gu’s ongoing advancements in image enhancement and low-light imaging technologies.
Overall Conclusion
Professor Chaochen Gu’s extensive research portfolio, with significant contributions across electromechanical systems, intelligent robots, precision instruments, machine vision, and advanced motion control, positions him as an exemplary candidate for the Best Researcher Award. His interdisciplinary approach and impactful publications reflect his substantial contributions to both theoretical advancements and practical applications in his fields of expertise.