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Xiongxiao Xu
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2020 – today
- 2024
- [c5]Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu:
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection. DSAA 2024: 1-10 - [c4]Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu:
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS 2024: 93-97 - [i7]Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu:
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR abs/2404.14757 (2024) - [i6]Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu:
Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR abs/2406.14043 (2024) - [i5]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? CoRR abs/2407.20224 (2024) - [i4]Xiongxiao Xu, Solomon Abera Bekele, Brice Videau, Kai Shu:
Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach. CoRR abs/2410.11855 (2024) - [i3]Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu:
Can Knowledge Editing Really Correct Hallucinations? CoRR abs/2410.16251 (2024) - 2023
- [j1]Xiongxiao Xu, Hong Xie, John C. S. Lui:
Generalized Contextual Bandits With Latent Features: Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4763-4775 (2023) - [c3]Xiongxiao Xu:
Exploring Machine Learning Models with Spatial-Temporal Information for Interconnect Network Traffic Forecasting. SIGSIM-PADS 2023: 56-57 - [c2]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. SIGSIM-PADS 2023: 128-132 - [c1]Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu:
Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. SIGSIM-PADS 2023: 133-137 - [i2]Xiongxiao Xu, Kaize Ding, Canyu Chen, Kai Shu:
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection. CoRR abs/2305.10668 (2023) - 2022
- [i1]Canyu Chen, Yueqing Liang, Xiongxiao Xu, Shangyu Xie, Yuan Hong, Kai Shu:
On Fair Classification with Mostly Private Sensitive Attributes. CoRR abs/2207.08336 (2022)
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