| Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment C Yin, P Imms, M Cheng, A Amgalan, NF Chowdhury, RJ Massett, ... Proceedings of the National Academy of Sciences 120 (2), e2214634120, 2023 | 38 | 2023 |
| Network science characteristics of brain-derived neuronal cultures deciphered from quantitative phase imaging data C Yin, X Xiao, V Balaban, ME Kandel, YJ Lee, G Popescu, P Bogdan Scientific reports 10 (1), 15078, 2020 | 34 | 2020 |
| A general trust framework for multi-agent systems M Cheng, C Yin, J Zhang, S Nazarian, J Deshmukh, P Bogdan Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 33 | 2021 |
| Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomena M Cheng, C Yin, S Nazarian, P Bogdan Scientific reports 11 (1), 10424, 2021 | 24 | 2021 |
| Fractional dynamics foster deep learning of COPD stage prediction C Yin, M Udrescu, G Gupta, M Cheng, A Lihu, L Udrescu, P Bogdan, ... Advanced Science 10 (12), 2203485, 2023 | 10 | 2023 |
| Coupled multiwavelet neural operator learning for coupled partial differential equations X Xiao, D Cao, R Yang, G Gupta, G Liu, C Yin, R Balan, P Bogdan arXiv preprint arXiv:2303.02304, 2023 | 8 | 2023 |
| Non-markovian reinforcement learning using fractional dynamics G Gupta, C Yin, JV Deshmukh, P Bogdan 2021 60th IEEE Conference on Decision and Control (CDC), 1542-1547, 2021 | 8 | 2021 |
| Discovering laws from observations: A data-driven approach C Yin, G Gupta, P Bogdan Dynamic Data Driven Applications Systems: Third International Conference …, 2020 | 2 | 2020 |
| Early identification of Alzheimer’s risk using anatomically interpretable estimation of brain age P Imms, J Kawamura, C Yin, A Amgalan, NF Chowdhury, NN Chaudhari, ... Alzheimer's & Dementia 19, e082676, 2023 | 1 | 2023 |
| Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives C Yin, M Cheng, X Xiao, X Chen, S Nazarian, A Irimia, P Bogdan arXiv preprint arXiv:2310.07885, 2023 | 1 | 2023 |
| Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks A Cheng, H Ping, Z Wang, X Xiao, C Yin, S Nazarian, M Cheng, P Bogdan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Discovering Malicious Signatures in Software from Structural Interactions C Yin, H Zhang, M Cheng, X Xiao, X Chen, X Ren, P Bogdan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Enhancing Neural Network Performance with Leader-Follower Architecture and Local Error Signals C Yin, M Cheng, X Xiao, X Chen, A Cheng, S Nazarian, A Irimia, ... | | 2023 |
| Fractional dynamics deep learning approach for diagnosing COPD stages S Mihaicuta, C Yin, M Udrescu, G Gupta, M Cheng, L Udrescu, ... European Respiratory Journal 62 (suppl 67), 2023 | | 2023 |
| Raising The Limit of Image Rescaling Using Auxiliary Encoding C Yin, Z Pan, X Zhou, L Kang, P Bogdan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Fractional Dynamics Foster Deep Learning of COPD Stage Prediction (Adv. Sci. 12/2023) C Yin, M Udrescu, G Gupta, M Cheng, A Lihu, L Udrescu, P Bogdan, ... Advanced Science 10 (12), 2023 | | 2023 |
Paul BogdanAssociate Professor, University of Southern CaliforniaDirección de correo verificada de usc.edu
