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Xiongxiao Xu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

7

Active years

2023–2026

Best venue rank

A*

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAICan 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
2026AAAIBenchmarking 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
2026WWWOnline GPU Energy Optimization with Switching-Aware Bandits.Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu
2026WWWCan Multimodal LLMs Perform Time Series Anomaly Detection?Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2025CIKMSST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu
2025COLINGTaxonomy-Guided Zero-Shot Recommendations with LLMs.Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2025COLINGPiecing It All Together: Verifying Multi-Hop Multimodal Claims.Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2025ICLRCan Knowledge Editing Really Correct Hallucinations?Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2024DSAAMetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection.Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu
2024PADSSurrogate 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
2023PADSHybrid 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
2023PADSExploring Machine Learning Models with Spatial-Temporal Information for Interconnect Network Traffic Forecasting.Xiongxiao Xu
2023PADSMachine 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