Xiongye Xiao
xiongyex@usc.edu

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.

Bio-Inspired AI [3,19]Material Discovering [13]Complex Systems Modeling [2]FunctionsStructuresDynamicsTheoretical Foundations and MethodsApplications and Impact AreasObjectivesGraph theory; Complexity analysis [1,10]Advanced AI models[9,11,17]Neural operators[2,4,7]Material ScienceStructure-property Laws[13,16,18]BioscienceGene + Protein + Brainnetworks[1,8,14,15]Scientific AIScience for AI[6]AINetwork AnalysisPDE Learning
📄 Theoretical Foundations and Methods
[1]

Deciphering the Generating Rules and Functionalities of Complex Networks

Nature Scientific Reports, 2021

Xiongye Xiao, Hanlong Chen, and Paul Bogdan

[2]

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

[3]

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

[4]

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

[5]

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

[6]

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

[7]

Non-Linear Operator Approximations for Initial Value Problems

International Conference on Learning Representations (ICLR), 2022

Gaurav Gupta, Xiongye Xiao, Radu Balan, and Paul Bogda

[8]

Generator Based Approach to Analyze Mutations in Genomic Datasets

Nature Scientific Reports , 2021

Siddharth Jain†, Xiongye Xiao†, Paul Bogdan, and Jehoshua Bruck

[9]

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

[10]

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

[11]

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

[12]

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

📄 Scientific Applications
[13]

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

[14]

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

[15]

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.

[16]

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.

[17]

AI and the Clinical Immunology/Immunoinformatics for COVID-19

Artificial Intelligence in Covid-19

Zikun Yang, Xiongye Xiao, and Paul Bogdan

[18]

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

[19]

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

[20]

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

[21]

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

[22]

Generator Based Approach to Analyze Mutations in Genomic Datasets

Nature Scientific Reports , 2021

Siddharth Jain†, Xiongye Xiao†, Paul Bogdan, and Jehoshua Bruck