Xiongye Xiao

Orcid: 0000-0002-3181-7166

Affiliations:

University of Tennessee Knoxville, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA
University of Southern California, Department of Electrical and Computer Engineering, Los Angeles, CA, USA (PhD 2024)

According to our database¹, Xiongye Xiao authored at least 20 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.

[BibT_eX]

[DOI]

CoRR, March, 2025

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Multi-scale Generative Modeling for Fast Sampling.

[BibT_eX]

[DOI]

Mykel J. Kochenderfer

Paul Bogdan

CoRR, 2024

Multi-scale Conditional Generative Modeling for Microscopic Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Discovering Malicious Signatures in Software from Structural Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2023

Coupled Multiwavelet Operator Learning for Coupled Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Unifying structural descriptors for biological and bioinspired nanoscale complexes.

[BibT_eX]

[DOI]

Minjeong Cha

Emine Sumeyra Turali-Emre

Nat. Comput. Sci., 2022

Non-Linear Operator Approximations for Initial Value Problems.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Multiwavelet-based Operator Learning for Differential Equations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sci. Robotics, 2020

Xiongye Xiao

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