On Fair Classification with Mostly Private Sensitive Attributes. - Canyu Chen; Yueqing Liang; Xiongxiao Xu; Shangyu Xie; Yuan Hong 001; Kai Shu (CoRR, 2022)

Exploring Machine Learning Models with Spatial-Temporal Information for Interconnect Network Traffic Forecasting. - Xiongxiao Xu (SIGSIM-PADS, 2023)

Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. - Xiongxiao Xu; Xin Wang 115; Elkin Cruz-Camacho; Christopher D. Carothers; Kevin A. Brown; Robert B. Ross; Zhiling Lan; Kai Shu (SIGSIM-PADS, 2023)

MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection. - Xiongxiao Xu; Kaize Ding; Canyu Chen; Kai Shu (CoRR, 2023)

Generalized Contextual Bandits With Latent Features: Algorithms and Applications. - Xiongxiao Xu; Hong Xie 004; John C. S. Lui (IEEE Trans. Neural Networks Learn. Syst., 2023)

MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection. - Xiongxiao Xu; Kaize Ding; Canyu Chen; Kai Shu (DSAA, 2024)

Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. - Xiongxiao Xu; Kevin A. Brown; Tanwi Mallick; Xin Wang 115; Elkin Cruz-Camacho; Robert B. Ross; Christopher D. Carothers; Zhiling Lan; Kai Shu (SIGSIM-PADS, 2024)

Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. - Xiongxiao Xu; Yueqing Liang; Baixiang Huang; Zhiling Lan; Kai Shu (CoRR, 2024)

Can Editing LLMs Inject Harm? - Canyu Chen; Baixiang Huang; Zekun Li 008; Zhaorun Chen; Shiyang Lai; Xiongxiao Xu; Jia-Chen Gu; Jindong Gu; Huaxiu Yao; Chaowei Xiao; Xifeng Yan; William Yang Wang; et al. (CoRR, 2024)

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach. - Xiongxiao Xu; Solomon Abera Bekele; Brice Videau; Kai Shu (CoRR, 2024)

Taxonomy-Guided Zero-Shot Recommendations with LLMs. - Yueqing Liang; Liangwei Yang; Chen Wang 018; Xiongxiao Xu; Philip S. Yu; Kai Shu (COLING, 2025)

Piecing It All Together: Verifying Multi-Hop Multimodal Claims. - Haoran Wang 005; Aman Rangapur; Xiongxiao Xu; Yueqing Liang; Haroon Gharwi; Carl Yang 001; Kai Shu (COLING, 2025)

Can Knowledge Editing Really Correct Hallucinations? - Baixiang Huang; Canyu Chen; Xiongxiao Xu; Ali Payani; Kai Shu (ICLR, 2025)

Benchmarking LLMs for Political Science: A United Nations Perspective. - Yueqing Liang; Liangwei Yang; Chen Wang; Congying Xia; Rui Meng; Xiongxiao Xu; Haoran Wang 005; Ali Payani; Kai Shu (CoRR, 2025)

Can Multimodal LLMs Perform Time Series Anomaly Detection? - Xiongxiao Xu; Haoran Wang 005; Yueqing Liang; Philip S. Yu; Yue Zhao 016; Kai Shu (CoRR, 2025)

Hybrid PDES Simulation of HPC Networks Using Zombie Packets. - Elkin Cruz-Camacho; Kevin A. Brown; Xin Wang 115; Xiongxiao Xu; Kai Shu; Zhiling Lan; Robert B. Ross; Christopher D. Carothers (ACM Trans. Model. Comput. Simul., 2025)

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation. - Haoran Wang 005; Xiongxiao Xu; Baixiang Huang; Kai Shu (CoRR, 2025)