Xiongxiao Xu - RankMe

27 papers A* 5A 1B 3Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking LLMs for Political Science: A United Nations Perspective. AAAI Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2026	A*	`conf`	Can Editing LLMs Inject Harm? AAAI 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
2026	A*	`conf`	Can Multimodal LLMs Perform Time Series Anomaly Detection? WWW Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2026	A*	`conf`	Online GPU Energy Optimization with Switching-Aware Bandits. WWW Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR 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
2025	J	`jnl`	Benchmarking LLMs for Political Science: A United Nations Perspective. CoRR Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2025	A*	`conf`	Can Knowledge Editing Really Correct Hallucinations? ICLR Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2025	J	`jnl`	Can Multimodal LLMs Perform Time Series Anomaly Detection? CoRR Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu
2025	J	`jnl`	Hybrid PDES Simulation of HPC Networks Using Zombie Packets. ACM Trans. Model. Comput. Simul. Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2025	B	`conf`	Piecing It All Together: Verifying Multi-Hop Multimodal Claims. COLING Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2025	J	`jnl`	Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation. CoRR Haoran Wang, Xiongxiao Xu, Baixiang Huang, Kai Shu
2025	A	`conf`	SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. CIKM Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu
2025	B	`conf`	Taxonomy-Guided Zero-Shot Recommendations with LLMs. COLING Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2024	J	`jnl`	Can Editing LLMs Inject Harm? CoRR 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
2024	J	`jnl`	Can Knowledge Editing Really Correct Hallucinations? CoRR Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
2024	J	`jnl`	Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
2024	B	`conf`	MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection. DSAA Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu
2024	J	`jnl`	Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach. CoRR Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu
2024	J	`jnl`	Piecing It All Together: Verifying Multi-Hop Multimodal Claims. CoRR Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu
2024	—	`conf`	Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
2024	J	`jnl`	Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2023	—	`conf`	Exploring Machine Learning Models with Spatial-Temporal Information for Interconnect Network Traffic Forecasting. SIGSIM-PADS Xiongxiao Xu
2023	J	`jnl`	Generalized Contextual Bandits With Latent Features: Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. Xiongxiao Xu, Hong Xie, John C. S. Lui
2023	—	`conf`	Hybrid PDES Simulation of HPC Networks Using Zombie Packets. SIGSIM-PADS Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2023	—	`conf`	Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. SIGSIM-PADS Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu
2023	J	`jnl`	MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection. CoRR Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu
2022	J	`jnl`	On Fair Classification with Mostly Private Sensitive Attributes. CoRR Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu