Xiongxiao Xu

According to our database, Xiongxiao Xu authored at least 20 papers between 2022 and 2026.

Collaborative distances:

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

2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu

CoRR, February, 2026

Can Multimodal LLMs Perform Time Series Anomaly Detection?

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

Proceedings of the ACM Web Conference 2026, 2026

Online GPU Energy Optimization with Switching-Aware Bandits.

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

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation.

Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu

CoRR, August, 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

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.

Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

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

Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, 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

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

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