| DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers M Cheng, J Li, S Nazarian 2018 23rd Asia and South pacific design automation conference (ASP-DAC), 129-134, 2018 | 241 | 2018 |
| Vroc: Variational autoencoder-aided multi-task rumor classifier based on text M Cheng, S Nazarian, P Bogdan Proceedings of the web conference 2020, 2892-2898, 2020 | 90 | 2020 |
| A COVID-19 rumor dataset M Cheng, S Wang, X Yan, T Yang, W Wang, Z Huang, X Xiao, S Nazarian, ... Frontiers in Psychology 12, 644801, 2021 | 86 | 2021 |
| 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 | 58 | 2023 |
| 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 | 44 | 2021 |
| There is hope after all: Quantifying opinion and trustworthiness in neural networks M Cheng, S Nazarian, P Bogdan Frontiers in artificial intelligence 3, 54, 2020 | 40 | 2020 |
| 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 | 27 | 2021 |
| From rumor to genetic mutation detection with explanations: a GAN approach M Cheng, Y Li, S Nazarian, P Bogdan Scientific Reports 11 (1), 5861, 2021 | 27 | 2021 |
| H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers M Cheng, J Li, P Bogdan, S Nazarian IEEE transactions on computer-aided design of integrated circuits and …, 2019 | 27* | 2019 |
| 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 | 23 | 2023 |
| High performance training of deep neural networks using pipelined hardware acceleration and distributed memory R Mehta, Y Huang, M Cheng, S Bagga, N Mathur, J Li, J Draper, ... 2018 19th International Symposium on Quality Electronic Design (ISQED), 383-388, 2018 | 7 | 2018 |
| Polyphenic risk score shows robust predictive ability for long-term future suicidality M Cheng, K Roseberry, Y Choi, L Quast, M Gaines, G Sandusky, JA Kline, ... Discover mental health 2 (1), 13, 2022 | 5 | 2022 |
| Trust-aware control for intelligent transportation systems M Cheng, J Zhang, S Nazarian, J Deshmukh, P Bogdan 2021 IEEE Intelligent Vehicles Symposium (IV), 377-384, 2021 | 5 | 2021 |
| Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning X Xiao, G Liu, G Gupta, D Cao, S Li, Y Li, T Fang, M Cheng, P Bogdan arXiv preprint arXiv:2404.09403, 2024 | 4 | 2024 |
| Unsupervised graphic layout grouping with transformers J Zhu, D Huang, C Wang, M Cheng, J Li, H Hu, X Geng, B Guo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| ClipCrop: Conditioned Cropping Driven by Vision-Language Model Z Zhong, M Cheng, Z Wu, Y Yuan, Y Zheng, J Li, H Hu, S Lin, Y Sato, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 294-304, 2023 | 2 | 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 | 1 | 2024 |
| 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 |
| Neuro-Inspired Hierarchical Multimodal Learning X Xiao, G Liu, G Gupta, D Cao, S Li, Y Li, T Fang, M Cheng, P Bogdan arXiv preprint arXiv:2309.15877, 2023 | 1 | 2023 |
| Machine learning general transcriptional predictors of plant disease J Sia, W Zhang, M Cheng, P Bogdan, DE Cook bioRxiv, 2023.08. 30.555529, 2023 | 1 | 2023 |
Paul BogdanAssociate Professor, University of Southern CaliforniaCorreu electrònic verificat a usc.edu