Xiaorui Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 89

Top Topics

Graph Representation

Injection Attacks

Top Venues

Publications

Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations. WWW (2024)
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
Linear-Time Graph Neural Networks for Scalable Recommendations. CoRR (2024)
Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR (2024)
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR (2024)
Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR (2024)
Zhonghao Zhang, Xiaorui Liu, Wanyue Jiang
Adaptive tracking control of a nonholonomic wheeled mobile robot with multiple disturbances and input constraints. Autom. 72 (1) (2024)
Yunqing Li, Xiaorui Liu, Binil Starly
Manufacturing Service Capability Prediction with Graph Neural Networks. CoRR (2024)
Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
Alternately Optimized Graph Neural Networks. ICML (2023)
Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
Efficient Large Language Models Fine-Tuning On Graphs. CoRR (2023)
Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu
Robust Graph Neural Networks via Unbiased Aggregation. CoRR (2023)
Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
Enhancing Graph Representations Learning with Decorrelated Propagation. KDD (2023)
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
Towards Label Position Bias in Graph Neural Networks. CoRR (2023)
Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu
Can Directed Graph Neural Networks be Adversarially Robust? CoRR (2023)
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML (2023)
Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan
Federated IoT Interaction Vulnerability Analysis. ICDE (2023)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR (2023)
Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD (2023)
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
Towards Label Position Bias in Graph Neural Networks. NeurIPS (2023)
Wendi Yu, Zhichao Hou, Xiaorui Liu
Automated Polynomial Filter Learning for Graph Neural Networks. CoRR (2023)
Min Zhang, Liang Wang, Fusheng Qiu, Xiaorui Liu
Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning. Comput. Ind. Eng. 186 (2023)
Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
Jointly Attacking Graph Neural Network and its Explanations. ICDE (2023)
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD (2023)
Xiao Wu, Dekang Zhang, Xiaorui Liu
Primary Study on the Face-recognition Framework with anti-spoofing function. ICDIS (2022)
Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR (2022)
Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
Learning from Imbalanced Crowdsourced Labeled Data. SDM (2022)
Yurui Xu, Xiao Wu, Hang Su, Xiaorui Liu
Multimodal Emotion Recognition Based on Feature Fusion. ICARM (2022)
Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD (2022)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs. ICLR (2022)
Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang
Alternately Optimized Graph Neural Networks. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
Imbalanced Adversarial Training with Reweighting. ICDM (2022)
Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
Enhancing Adversarial Training with Feature Separability. CoRR (2022)
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR (2022)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks? ICLR (2022)
Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang
Towards Fair Classification against Poisoning Attacks. CoRR (2022)
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
Graph Trend Filtering Networks for Recommendation. SIGIR (2022)
Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou
Faster than real-time simulation: methods, tools, and applications. MSCPES@CPSIoTWeek (2021)
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
Decentralized Composite Optimization with Compression. CoRR (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. ICML (2021)
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
Graph Trend Networks for Recommendations. CoRR (2021)
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
Elastic Graph Neural Networks. CoRR (2021)
Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani M. Thuraisingham, Jiliang Tang
Imbalanced Adversarial Training with Reweighting. CoRR (2021)
Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD (2021)
Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. CoRR (2021)
Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang
Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR (2021)
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Graph Feature Gating Networks. CIKM (2021)
Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML (2021)
Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. SmartGridComm (2021)
Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin
On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic. IEEE Access 9 (2021)
Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou
Faster than Real-Time Simulation: Methods, Tools, and Applications. CoRR (2021)
Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. CoRR (2021)
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Graph Feature Gating Networks. CoRR (2021)
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Automated Self-Supervised Learning for Graphs. CoRR (2021)
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM (2021)
Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
Graph Neural Networks with Adaptive Residual. NeurIPS (2021)
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
Is Homophily a Necessity for Graph Neural Networks? CoRR (2021)
Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. IEEE Access 9 (2021)
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
Jointly Attacking Graph Neural Network and its Explanations. CoRR (2021)
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Deep Adversarial Network Alignment. CIKM (2021)
Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
Adversarial Robustness in Deep Learning: From Practices to Theories. KDD (2021)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
Trustworthy AI: A Computational Perspective. CoRR (2021)
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
Linear Convergent Decentralized Optimization with Compression. ICLR (2021)
Juan Ospina, Ioannis Zografopoulos, Xiaorui Liu, Charalambos Konstantinou
DEMO: Trustworthy Cyberphysical Energy Systems: Time-Delay Attacks in a Real-Time Co-Simulation Environment. CPSIOTSEC@CCS (2020)
Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR (2020)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR (2020)
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR (2020)
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks. CoRR (2020)
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
Linear Convergent Decentralized Optimization with Compression. CoRR (2020)
Xiaorui Liu, Juan Ospina, Charalambos Konstantinou
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. IEEE Access 8 (2020)
Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin
On the Feasibility of Load-Changing Attacks in Power Systems during the COVID-19 Pandemic. CoRR (2020)
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
Epidemic Graph Convolutional Network. WSDM (2020)
Xiaorui Liu, Juan Ospina, Charalambos Konstantinou
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. CoRR (2020)
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
Graph Structure Learning for Robust Graph Neural Networks. KDD (2020)
Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, Xiaorui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems. CoRR (2020)
Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS (2020)
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
Deep Adversarial Canonical Correlation Analysis. SDM (2020)
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Deep Adversarial Network Alignment. CoRR (2019)
Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR (2019)
Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin
Weight Loss Prediction in Social-Temporal Context. ICHI (2019)
Lu Wang, Xiaorui Liu, Xiaoqing Hu, Luyang Guan, Ming Bao
Deep Neural Network-Based Scale Feature Model for BVI Detection and Principal Component Extraction. SPML (2019)
Xiaorui Liu, Fujun Qi, Wangquan Ye, Kai Cheng, Jinjia Guo, Ronger Zheng
Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV. Sensors 18 (8) (2018)
Xiaorui Liu, Anastasis Keliris, Charalambos Konstantinou, Marios Sazos, Michail Maniatakos
Assessment of Low-Budget Targeted Cyberattacks Against Power Systems. VLSI-SoC (Selected Papers) (2018)
Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR (2017)
Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. 19 (2) (2017)
Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin
A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application. CVPR Workshops (2016)
Jingxu Yang, Hao Liu, Xiaorui Liu, Chengbo Gu, Ray Luo, Hai-Feng Chen
Synergistic Allosteric Mechanism of Fructose-1, 6-bisphosphate and Serine for Pyruvate Kinase M2 via Dynamics Fluctuation Network Analysis. J. Chem. Inf. Model. 56 (6) (2016)
Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin
Fingertip in the Eye: An Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in Egocentric Videos. CCPR (1) (2016)
Xiaofei Chen, Xiaorui Liu, Yingjie Zhang, Xuecheng Zou, Shuangxi Lin
An overview of soft-switching technique for flyback converters. ASICON (2015)
Yichao Huang, Xiaorui Liu, Lianwen Jin, Xin Zhang
DeepFinger: A Cascade Convolutional Neuron Network Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera. SMC (2015)
Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin
Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos. CoRR (2015)