Xiongye Xiao

27 papers A* 7Misc 2Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.
CoRR
Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan
2025 A* conf
End-to-End Learning Framework for Solving Non-Markovian Optimal Control.
ICML
Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan
2025 J jnl
End-to-End Learning Framework for Solving Non-Markovian Optimal Control.
CoRR
Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan
2025 J jnl
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.
CoRR
Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2025 — conf
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
WWW (Companion Volume)
Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan
2025 J jnl
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance.
CoRR
Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan
2025 A* conf
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models.
ICLR
Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan
2024 A* conf
A Structure-Aware Framework for Learning Device Placements on Computation Graphs.
NeurIPS
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
2024 J jnl
A structure-aware framework for learning device placements on computation graphs.
CoRR
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
2024 Misc conf
Discovering Malicious Signatures in Software from Structural Interactions.
ICASSP
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2024 J jnl
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.
CoRR
Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan
2024 J jnl
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration.
CoRR
Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan
2024 J jnl
Multi-scale Generative Modeling for Fast Sampling.
CoRR
Xiongye Xiao, Shixuan Li, Luzhe Huang, Gengshuo Liu, Trung-Kien Nguyen, Yi Huang, Di Chang, Mykel J. Kochenderfer, Paul Bogdan
2024 A* conf
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
ICLR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 J jnl
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
CoRR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 Misc conf
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
ICASSP
Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
2023 J jnl
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.
CoRR
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023 A* conf
Coupled Multiwavelet Operator Learning for Coupled Differential Equations.
ICLR
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023 J jnl
Discovering Malicious Signatures in Software from Structural Interactions.
CoRR
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2023 J jnl
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives.
CoRR
Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2023 J jnl
Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR
Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2023 J jnl
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
CoRR
Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan
2022 A* conf
Non-Linear Operator Approximations for Initial Value Problems.
ICLR
Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan
2022 J jnl
Unifying structural descriptors for biological and bioinspired nanoscale complexes.
Nat. Comput. Sci.
Minjeong Cha, Emine Sumeyra Turali-Emre, Xiongye Xiao, Ji-Young Kim, Paul Bogdan, J. Scott Vanepps, Angela Violi, Nicholas A. Kotov
2021 A* conf
Multiwavelet-based Operator Learning for Differential Equations.
NeurIPS
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
2021 J jnl
Multiwavelet-based Operator Learning for Differential Equations.
CoRR
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
2020 J jnl
Biomorphic structural batteries for robotics.
Sci. Robotics
Mingqiang Wang, Drew Vecchio, Chunyan Wang, Ahmet Emre, Xiongye Xiao, Zaixing Jiang, Paul Bogdan, Yudong Huang, Nicholas A. Kotov