Liu, Xiaorui

20 publications

AAAI 2025 Harnessing Robust Statistics for Trustworthy AI Xiaorui Liu

ICML 2025 Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu

ICML 2025 Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu

ICLR 2025 Robustness Reprogramming for Representation Learning Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu

NeurIPS 2024 Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu

NeurIPS 2024 ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu

ICLRW 2024 ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou, Weizhi Gao, Yuchen Shen, Xiaorui Liu

NeurIPS 2024 Robust Graph Neural Networks via Unbiased Aggregation Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu

ICLR 2024 Structural Fairness-Aware Active Learning for Graph Neural Networks Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada

ICML 2023 Alternately Optimized Graph Neural Networks Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang

ICML 2023 LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue, Haoyu Han, Mohamadali Torkamani, Jian Pei, Xiaorui Liu

NeurIPS 2023 Towards Label Position Bias in Graph Neural Networks Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang

ICLR 2022 Automated Self-Supervised Learning for Graphs Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang

ICLR 2022 Is Homophily a Necessity for Graph Neural Networks? Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang

ICML 2021 Elastic Graph Neural Networks Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

NeurIPS 2021 Graph Neural Networks with Adaptive Residual Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang

ICLR 2021 Linear Convergent Decentralized Optimization with Compression Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan

ICML 2021 To Be Robust or to Be Fair: Towards Fairness in Adversarial Training Han Xu, Xiaorui Liu, Yaxin Li, Anil Jain, Jiliang Tang

AISTATS 2020 A Double Residual Compression Algorithm for Efficient Distributed Learning Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan

CVPRW 2016 A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin