Xiongxiao Xu

According to our database, Xiongxiao Xu authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

Hybrid PDES Simulation of HPC Networks Using Zombie Packets.

Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers

ACM Trans. Model. Comput. Simul., April, 2025

Can Multimodal LLMs Perform Time Series Anomaly Detection?

Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu

CoRR, February, 2025

Benchmarking LLMs for Political Science: A United Nations Perspective.

Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu

CoRR, February, 2025

Can Knowledge Editing Really Correct Hallucinations?

Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Piecing It All Together: Verifying Multi-Hop Multimodal Claims.

Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Taxonomy-Guided Zero-Shot Recommendations with LLMs.

Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach.

Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu

CoRR, 2024

Can Editing LLMs Inject Harm?

Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

CoRR, 2024

Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting.

Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu

CoRR, 2024

Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features.

Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu

Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024

MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection.

Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Generalized Contextual Bandits With Latent Features: Algorithms and Applications.

Xiongxiao Xu, Hong Xie, John C. S. Lui

IEEE Trans. Neural Networks Learn. Syst., August, 2023

MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection.

Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu

CoRR, 2023

Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation.

Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu

Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023

Exploring Machine Learning Models with Spatial-Temporal Information for Interconnect Network Traffic Forecasting.

Xiongxiao Xu

Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023

2022

On Fair Classification with Mostly Private Sensitive Attributes.

Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu

CoRR, 2022