Xiongxiao Xu

Ph.D. Candidate Department of Computer Science Illinois Institute of Technology Chicago, Illinois, United States E-mail: xxu85@hawk.iit.edu

About me

I am a Ph.D. candidate in the Department of Computer Science at Illinois Institute of Technology since Spring 2022, advised by Dr. Kai Shu. My research interests generally lie in machine learning, particularly in multimodal LLMs and time series analysis (e.g., forecasting, anomaly detection). I also have research experiences on GNNs, multi-armed bandits (RL), and their applications in anomaly detection, recommender system, and HPC.

Interested in the intersection of multimodal LLMs and time series analysis? Check out this website

Research Interests

• Multimodal LLMs

• Time Series Analysis

• Machine Learning

Publications

• Xiongxiao Xu, Yue Zhao, Philip S. Yu, Kai Shu. "Beyond Numbers: A Survey of Time Series Analysis in the Era of Multimodal LLMs", techrxiv, 2025. [paper][techrxiv][Github][Website]

• Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu. "Can Multimodal LLMs Perform Time Series Anomaly Detection?", arxiv, 2025. [arxiv][Code][Website]

• Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu. "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting", arxiv, 2024. [arxiv][Code]

• Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu. "Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach", arxiv, 2024. [arxiv][Code]

• Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu. "Benchmarking LLMs for Political Science: A United Nations Perspective", arxiv, 2024. [arxiv]

• 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. "Can Editing LLMs Inject Harm?", arxiv, 2024. [arxiv]

• Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu. "Can Knowledge Editing Really Correct Hallucinations?". The 13th International Conference on Learning Representations (ICLR), 2025. [arxiv]

• Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu. "Piecing It All Together: Verifying Multi-Hop Multimodal Claims". The 31st International Conference on Computational Linguistics (COLING), 2025. [arxiv]

• Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu. "Taxonomy-Guided Zero-Shot Recommendations with LLMs". The 31st International Conference on Computational Linguistics (COLING), 2025. [arxiv]

• Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu. "MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection". Proceedings of The 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024. [Paper][Code]

• Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross and Christopher D. Carothers. "Hybrid PDES Simulation of HPC Networks using Zombie Packets". ACM Transactions on Modeling and Computer Simulation (TOMACS), 2024. [pdf]

• Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers. "Hybrid PDES Simulation of HPC Networks using Zombie Packets". Proceedings of The ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS), 2023. [pdf] (Best Short Paper Award)

• Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Ashish Kundu, Ali Payani, Yuan Hong, Kai Shu. "When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes", arxiv, 2023. [arxiv]

• Xiongxiao Xu, Hong Xie, John C.S. Lui. "Generalized Contextual Bandits With Latent Features: Algorithms and Applications". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [pdf][Supplementary]

Internship

• Research Intern, Argonne Leadership Computing Facility, Argonne National Laboratory, Summer, 2024

Awards

• Starr-Fieldhouse Research Fellowship Award, 2024

• IEEE DSAA Student Travel Award, 2024

• ACM SIGSIGM-PADS Student Travel Award, 2023, 2024

• Best Short Paper Award, ACM SIGSIGM-PADS, 2023

Academic Services

Program Committee

• The Annual Meeting of the Association for Computational Linguistics (ACL'25)

• The International Conference on Learning Representations (ICLR'25)

• The AAAI Conference on Artificial Intelligence (AAAI’24, AAAI'25)

• The International Conference on Database Systems for Advanced Applications (DASFAA’24, DASFAA’25)

Reviewer

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)