Multiwavelet-based operator learning for differential equations G Gupta, X Xiao, P Bogdan Advances in Neural Information Processing Systems 34, 24048-24062, 2021 | 165 | 2021 |
Biomorphic structural batteries for robotics M Wang, D Vecchio, C Wang, A Emre, X Xiao, Z Jiang, P Bogdan, ... Science robotics 5 (45), eaba1912, 2020 | 88 | 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 | 74 | 2021 |
Deciphering the generating rules and functionalities of complex networks X Xiao, H Chen, P Bogdan Scientific reports 11 (1), 22964, 2021 | 42 | 2021 |
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), 1-13, 2020 | 36 | 2020 |
Unifying structural descriptors for biological and bioinspired nanoscale complexes M Cha*, EST Emre*, X Xiao, JY Kim, P Bogdan, JS VanEpps, A Violi, ... Nature Computational Science 2 (4), 243-252, 2022 | 29 | 2022 |
Spanning network gels from nanoparticles and graph theoretical analysis of their structure and properties DA Vecchio, MD Hammig, X Xiao, A Saha, P Bogdan, NA Kotov Advanced Materials 34 (23), 2201313, 2022 | 16 | 2022 |
Non-linear operator approximations for initial value problems G Gupta, X Xiao, R Balan, P Bogdan International Conference on Learning Representations (ICLR-2022), 2022 | 15 | 2022 |
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 International Conference on Learning Representations (ICLR-2023), 2023 | 8 | 2023 |
Generator based approach to analyze mutations in genomic datasets S Jain*, X Xiao*, P Bogdan, J Bruck Scientific reports 11 (1), 1-12, 2021 | 8 | 2021 |
Predicting the emergence of SARS-CoV-2 clades S Jain, X Xiao, P Bogdan, J Bruck bioRxiv, 2020 | 4 | 2020 |
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 International Conference on Learning Representations (ICLR-2024), 2024 | 1 | 2024 |
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective X Xiao, C Zhou, H Ping, D Cao, Y Li, Y Zhou, S Li, P Bogdan arXiv preprint arXiv:2402.09099, 2024 | 1 | 2024 |
Leveraging Reinforcement Learning and Large Language Models for Code Optimization S Duan, N Kanakaris, X Xiao, H Ping, C Zhou, NK Ahmed, G Ma, ... arXiv preprint arXiv:2312.05657, 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 |
Supplementary Material for Predicting the Emergence of SARS-CoV-2 Clades S Jain, X Xiao, P Bogdan, J Bruck bioRxiv, 2020 | 1 | 2020 |
Coupled Self-Replication and Self-Assembly of Inorganic Nanoparticles into Biosimilar Networks N Kotov, C McGlothin, K Whisnant, E Turali-Emre, D Owuor, XY Xiao, ... | | 2024 |
A structure-aware framework for learning device placements on computation graphs S Duan, H Ping, N Kanakaris, X Xiao, P Zhang, P Kyriakis, NK Ahmed, ... arXiv preprint arXiv:2405.14185, 2024 | | 2024 |
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 |