Xiaorui Liu

According to our database, Xiaorui Liu authored at least 78 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adaptive tracking control of a nonholonomic wheeled mobile robot with multiple disturbances and input constraints.

Zhonghao Zhang, Xiaorui Liu, Wanyue Jiang

Autom., January, 2024

Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs.

Wei Wang, Zhichao Hou, Xiaorui Liu, Xinxia Peng

CoRR, 2024

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing.

Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu

CoRR, 2024

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm.

Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu

CoRR, 2024

Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks.

Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu

CoRR, 2024

Robustness Reprogramming for Representation Learning.

Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu

CoRR, 2024

Graph Machine Learning in the Era of Large Language Models (LLMs).

Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li

CoRR, 2024

Manufacturing Service Capability Prediction with Graph Neural Networks.

Yunqing Li, Xiaorui Liu, Binil Starly

CoRR, 2024

Rethinking Large Language Model Architectures for Sequential Recommendations.

Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu

CoRR, 2024

Linear-Time Graph Neural Networks for Scalable Recommendations.

Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu

Proceedings of the ACM on Web Conference 2024, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Cross-Attention Emotion Recognition Algorithm Based on Audio and Video Modalities.

Xiao Wu, Xuan Mu, Wen Qi, Xiaorui Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier.

Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Data Quality-aware Graph Machine Learning.

Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning.

Min Zhang, Liang Wang, Fusheng Qiu, Xiaorui Liu

Comput. Ind. Eng., December, 2023

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

ACM Trans. Intell. Syst. Technol., February, 2023

Efficient Large Language Models Fine-Tuning On Graphs.

Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu

CoRR, 2023

Robust Graph Neural Networks via Unbiased Aggregation.

Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu

CoRR, 2023

Automated Polynomial Filter Learning for Graph Neural Networks.

Wendi Yu, Zhichao Hou, Xiaorui Liu

CoRR, 2023

Can Directed Graph Neural Networks be Adversarially Robust?

Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu

CoRR, 2023

Towards Label Position Bias in Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large-Scale Graph Neural Networks: The Past and New Frontiers.

Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhancing Graph Representations Learning with Decorrelated Propagation.

Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How does the Memorization of Neural Networks Impact Adversarial Robust Models?

Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.

Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu

Proceedings of the International Conference on Machine Learning, 2023

Alternately Optimized Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

Federated IoT Interaction Vulnerability Analysis.

Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Jointly Attacking Graph Neural Network and its Explanations.

Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Towards Fair Classification against Poisoning Attacks.

Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang

CoRR, 2022

Alternately Optimized Graph Neural Networks.

Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang

CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.

Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang

CoRR, 2022

Enhancing Adversarial Training with Feature Separability.

Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang

CoRR, 2022

Accepted Tutorials at The Web Conference 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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Graph Trend Filtering Networks for Recommendation.

Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning from Imbalanced Crowdsourced Labeled Data.

Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective.

Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automated Self-Supervised Learning for Graphs.

Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Is Homophily a Necessity for Graph Neural Networks?

Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Imbalanced Adversarial Training with Reweighting.

Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang

Proceedings of the IEEE International Conference on Data Mining, 2022

Primary Study on the Face-recognition Framework with anti-spoofing function.

Xiao Wu, Dekang Zhang, Xiaorui Liu

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Multimodal Emotion Recognition Based on Feature Fusion.

Yurui Xu, Xiao Wu, Hang Su, Xiaorui Liu

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021

Graph Trend Networks for Recommendations.

Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li

CoRR, 2021

Decentralized Composite Optimization with Compression.

Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan

CoRR, 2021

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang

CoRR, 2021

Towards the Memorization Effect of Neural Networks in Adversarial Training.

Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang

CoRR, 2021

Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies.

Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou

IEEE Access, 2021

On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic.

Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin

IEEE Access, 2021

CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks.

Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin

Proceedings of the IEEE International Conference on Communications, 2021

Yet Meta Learning Can Adapt Fast, it Can Also Break Easily.

Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Graph Neural Networks with Adaptive Residual.

Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Robustness in Deep Learning: From Practices to Theories.

Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

To be Robust or to be Fair: Towards Fairness in Adversarial Training.

Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang

Proceedings of the 38th International Conference on Machine Learning, 2021

Elastic Graph Neural Networks.

Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

Proceedings of the 38th International Conference on Machine Learning, 2021

Linear Convergent Decentralized Optimization with Compression.

Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan

Proceedings of the 9th International Conference on Learning Representations, 2021

Faster than real-time simulation: methods, tools, and applications.

Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou

Proceedings of the MSCPES@CPSIoTWeek '21: Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Virtual Event, May 19, 2021

Graph Feature Gating Networks.

Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Adversarial Network Alignment.

Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Unified View on Graph Neural Networks as Graph Signal Denoising.

Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

To be Robust or to be Fair: Towards Fairness in Adversarial Training.

Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang

CoRR, 2020

A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems.

Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, Xiaorui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou

CoRR, 2020

Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems.

Xiaorui Liu, Juan Ospina, Charalambos Konstantinou

IEEE Access, 2020

Epidemic Graph Convolutional Network.

Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Deep Adversarial Canonical Correlation Analysis.

Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Graph Structure Learning for Robust Graph Neural Networks.

Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DEMO: Trustworthy Cyberphysical Energy Systems: Time-Delay Attacks in a Real-Time Co-Simulation Environment.

Juan Ospina, Ioannis Zografopoulos, Xiaorui Liu, Charalambos Konstantinou

Proceedings of the CPSIOTSEC'20: Proceedings of the 2020 Joint Workshop on CPS&IoT Security and Privacy, 2020

A Double Residual Compression Algorithm for Efficient Distributed Learning.

Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Deep Neural Network-Based Scale Feature Model for BVI Detection and Principal Component Extraction.

Lu Wang, Xiaorui Liu, Xiaoqing Hu, Luyang Guan, Ming Bao

Proceedings of the 2nd International Conference on Signal Processing and Machine Learning, 2019

Weight Loss Prediction in Social-Temporal Context.

Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV.

Xiaorui Liu, Fujun Qi, Wangquan Ye, Kai Cheng, Jinjia Guo, Ronger Zheng

Sensors, 2018

Assessment of Low-Budget Targeted Cyberattacks Against Power Systems.

Xiaorui Liu, Anastasis Keliris, Charalambos Konstantinou, Marios Sazos, Michail Maniatakos

Proceedings of the VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms, 2018

2017

A Survey on Dialogue Systems: Recent Advances and New Frontiers.

Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang

SIGKDD Explor., 2017

2016

Synergistic Allosteric Mechanism of Fructose-1, 6-bisphosphate and Serine for Pyruvate Kinase M2 via Dynamics Fluctuation Network Analysis.

Jingxu Yang, Hao Liu, Xiaorui Liu, Chengbo Gu, Ray Luo, Hai-Feng Chen

J. Chem. Inf. Model., 2016

A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application.

Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Fingertip in the Eye: An Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in Egocentric Videos.

Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos.

Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin

CoRR, 2015

DeepFinger: A Cascade Convolutional Neuron Network Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera.

Yichao Huang, Xiaorui Liu, Lianwen Jin, Xin Zhang

Proceedings of the 2015 IEEE International Conference on Systems, 2015

An overview of soft-switching technique for flyback converters.

Xiaofei Chen, Xiaorui Liu, Yingjie Zhang, Xuecheng Zou, Shuangxi Lin

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015