Xiongye Xiao

According to our database, Xiongye Xiao authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

End-to-End Learning Framework for Solving Non-Markovian Optimal Control.

Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan

CoRR, February, 2025

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.

Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan

CoRR, January, 2025

2024

Multi-scale Generative Modeling for Fast Sampling.

Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan

CoRR, 2024

Multi-scale Conditional Generative Modeling for Microscopic Image Restoration.

Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan

CoRR, 2024

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.

Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan

CoRR, 2024

A Structure-Aware Framework for Learning Device Placements on Computation Graphs.

Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Discovering Malicious Signatures in Software from Structural Interactions.

Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan

Proceedings of the IEEE International Conference on Acoustics, 2024

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.

Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2023

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives.

Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan

CoRR, 2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.

Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

CoRR, 2023

Coupled Multiwavelet Operator Learning for Coupled Differential Equations.

Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Unifying structural descriptors for biological and bioinspired nanoscale complexes.

Minjeong Cha, Emine Sumeyra Turali-Emre, Xiongye Xiao, Ji-Young Kim, Paul Bogdan, J. Scott Vanepps, Angela Violi, Nicholas A. Kotov

Nat. Comput. Sci., 2022

Non-Linear Operator Approximations for Initial Value Problems.

Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Multiwavelet-based Operator Learning for Differential Equations.

Gaurav Gupta, Xiongye Xiao, Paul Bogdan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Biomorphic structural batteries for robotics.

Mingqiang Wang, Drew Vecchio, Chunyan Wang, Ahmet Emre, Xiongye Xiao, Zaixing Jiang, Paul Bogdan, Yudong Huang, Nicholas A. Kotov

Sci. Robotics, 2020