I am Xiongye Xiao, a PhD candidate in Electrical and Computer Engineering (ECE) at the University of Southern California (USC). My research focuses on AI for Science, Network Science, and Machine Learning, with a goal of developing advanced physical, mathematical, and computational tools to study multiscale structures and dynamics and map them to functions. My work primarily involves complex network analysis, neural operators, multimodal learning, and generative modeling, while also exploring their applications in various scientific fileds including neuroscience and materials science.
Deciphering the Generating Rules and Functionalities of Complex Networks
Nature Scientific Reports, 2021
Xiongye Xiao, Hanlong Chen, and Paul Bogdan
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
ICLR, 2023
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
ICLR, 2024
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Multiwavelet-based Operator Learning for Differential Equations
Advances in Neural Information Processing Systems (NeurIPS), 2021 [Spotlight, top 2%]
Gaurav Gupta, Xiongye Xiao, Radu Balan, and Paul Bogda
A Structure-aware Framework for Learning Device Placements on Computation Graphs
Advances in Neural Information Processing Systems (NeurIPS), 2024
Shukai Duan†, Heng Ping†, Nikos Kanakaris†, Xiongye Xiao†, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L Willke, Paul Bogdan
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
International Conference on Learning Representations (ICLR), 2025
Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan
Non-Linear Operator Approximations for Initial Value Problems
International Conference on Learning Representations (ICLR), 2022
Gaurav Gupta, Xiongye Xiao, Radu Balan, and Paul Bogda
Generator Based Approach to Analyze Mutations in Genomic Datasets
Nature Scientific Reports , 2021
Siddharth Jain†, Xiongye Xiao†, Paul Bogdan, and Jehoshua Bruck
Multi-scale Generative Modeling for Fast Sampling
arXiv preprint, 2024
Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J Kochenderfer, Paul Bogdan
Graph Theoretical Description of Phase Transitions in Complex Multiscale Phases with Supramolecular Assemblies
Advanced Science, 2024
Ruochen Yang, Kalil Bernardino, Xiongye Xiao, Weverson R Gomes, Davi A Mattoso, Nicholas A Kotov, Paul Bogdan, André F de Moura
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
arXiv preprint, 2024
Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
Biomorphic Structural Batteries for Robotics
Science Robotics , 2020
Mingqiang Wang, Drew Vecchio, Chunyan Wang, Ahmet Emre, Xiongye Xiao, Zaixing Jiang, Paul Bogdan, Yudong Huang, and Nicholas A. Kotov
Network Science Characteristics of Brain-derived Neuronal Cultures Deciphered from Quantitative Phase Imaging Data
Nature Scientific Reports , 2020
Chenzhong Yin†, Xiongye Xiao†, Valeriu Balaban, Mikhail E. Kandel, Young Jae Lee, Gabriel Popescu, and Paul Bogdan
Unifying Structural Descriptors for Biological and Bioinspired Nanoscale Complexes
Nature Computational Science , 2022
Minjeong Cha, Emine Turali-Emre, Xiongye Xiao, Ji-Young Kim, Paul Bogdan, Scott VanEpps, Angela Violi, Nicholas A. Kotov.
Spanning Network Gels from Nanoparticles and Graph Theoretical Qnalysis of Their Structure and Properties
Advanced Materials , 2022
Drew A. Vecchio, Mark D. Hammig, Xiongye Xiao, Anwesha Saha, Paul Bogdan, and Nicholas A. Kotov.
AI and the Clinical Immunology/Immunoinformatics for COVID-19
Artificial Intelligence in Covid-19
Zikun Yang, Xiongye Xiao, and Paul Bogdan
Coupled Self-Replication and Self-Assembly of Inorganic Nanoparticles into Biosimilar Networks
Angewandte Chemie , 2024
Nicholas Kotov, Connor McGlothin, Xiongye Xiao, Paul Bogdan, Kody Whisnant, Emine Turali-Emre, Dickson Owuor, Jun Lu, J Scott VanEpps, Drew Vecchio
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives
arXiv preprint , 2023
Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan
Leveraging Reinforcement Learning and Large Language Models for Code Optimization
arXiv preprint , 2023
SShukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K Ahmed, Guixiang Ma, Mihai Capota, Theodore L Willke, Shahin Nazarian, Paul Bogdan
Discovering Malicious Signatures in Software from Structural Interactions
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
Generator Based Approach to Analyze Mutations in Genomic Datasets
Nature Scientific Reports , 2021
Siddharth Jain†, Xiongye Xiao†, Paul Bogdan, and Jehoshua Bruck