Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier
Zhichao Hou, Minhua Lin, Mohamadali Torkamani, Suhang Wang, Xiaorui Liu
IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024)
[tutorial]
Data Quality-Aware Graph Machine Learning
Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan Rossi, Tyler Derr
International Conference on Information and Knowledge Management (CIKM 2024)
Data Quality-Aware Graph Machine Learning
Yu Wang, Yijun Tian, Tong Zhao, Xiaorui Liu, Jian Kang, Tyler Derr
SIAM International Conference on Data Mining (SDM 2024)
Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
SIAM International Conference on Data Mining (SDM 2024)
Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
Association for the Advancement of Artificial Intelligence (AAAI 2024)
Large-Scale Graph Neural Networks: The Past and New Frontiers
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
International Conference on Knowledge Discovery & Data Mining (KDD 2023)
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang.
International World Wide Web Conference (WWW 2022)
[ website ] [ slide ] [video]
Communication Efficient Distributed Learning
Xiaorui Liu, Yao Li, Ming Yan, Jiliang Tang.
International Joint Conference on Artificial Intelligence (IJCAI 2021)
[ website ] [slide]
Adversarial Robustness in Deep Learning: From Practices to Theories
Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
International Conference on Knowledge Discovery & Data Mining (KDD 2021)
[website] [slide]
Graph Representation Learning: Foundations, Methods, Applications, and Systems
Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang
International Conference on Knowledge Discovery & Data Mining (KDD 2021)
[website] [slide]
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Jiliang Tang.
International Conference on Automated Planning and Scheduling (ICAPS 2021)
[ website ] [ slide ]
[* indicates equal contribution] Google Scholar
Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
International Conference on Machine Learning (ICML 2025)
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu
International Conference on Machine Learning (ICML 2025)
Efficient End-to-end Language Model Fine-tuning on Graphs
Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
ACM International Conference on Knowledge Discovery & Data Mining (KDD 2025)
Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
International Conference on Learning Representations (ICLR 2025)
Spotlight paper (1.4% ≈ 162/11670)
Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu
Conference on Neural Information Processing Systems (NeurIPS 2024)
Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
Conference on Neural Information Processing Systems (NeurIPS 2024)
Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu
Conference on Neural Information Processing Systems (NeurIPS 2024)
Joia Green, Xiaorui Liu, Rong Yin
Fibers, 2024
Wendi Yu, Zhichao Hou, Xiaorui Liu
IEEE International Conference on Big Data (BigData 2024)
Yunqing Li, Xiaorui Liu, Binil Starly
Journal of Manufacturing Systems, 2024
Zhichao Hou, Weizhi Gao, Yuchen Shen, Xiaorui Liu
ICLR 2024 Workshop on Reliable and Responsible Foundation Models (ICLR 2024 R2-FM)
Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
The Web Conference Workshop on Large Language Models (LLMs) for Graph Learning (WWW 2024 LLMs4Graph)
Jiahao Zhang*, Rui Xue*, Wenqi Fan, Xu Xin, Qing Li, Jian Pei, Xiaorui Liu
International World Wide Web Conference (The Web Conference) (WWW 2024)
Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
International Conference on Learning Representations (ICLR 2024)
Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
Conference on Neural Information Processing Systems (NeurIPS 2023)
How Does the Memorization of Neural Networks Impact Adversarial Robust Models?
Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil Jain, Jiliang Tang
ACM International Conference on Knowledge Discovery & Data Mining (KDD 2023)
Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
ACM International Conference on Knowledge Discovery & Data Mining (KDD 2023)
Rui Xue, Haoyu Han, Ali Torkamani, Jian Pei, Xiaorui Liu
International Conference on Machine Learning (ICML 2023)
Haoyu Han, Xiaorui Liu, Haitao Mao, Ali Torkamani, Feng Shi, Victor Lee, Jiliang Tang
International Conference on Machine Learning (ICML 2023)
Federated IoT Interaction Vulnerability Analysis
Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan
IEEE International Conference on Data Engineering (ICDE 2023)
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, et al.
IEEE International Conference on Data Engineering (ICDE 2023)
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, et al.
ACM Transactions on Intelligent Systems and Technology (TIST 2022)
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Wei Jin, Xiaorui Liu, Yao Ma, Charu Aggarwal, Jiliang Tang.
ACM International Conference on Knowledge Discovery & Data Mining (KDD 2022)
Graph Trend Filtering Networks for Recommendations
Wenqi Fan*, Xiaorui Liu*, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li.
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
Automated Self-Supervised Learning for Graphs
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang.
International Conference on Learning Representations (ICLR 2022)
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang.
International Conference on Learning Representations (ICLR 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 (ICDM 2022).
Learning from Imbalanced Crowdsourced Labeled Data
Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang.
SIAM International Conference on Data Mining (SDM 2022).
Graph Neural Networks with Adaptive Residual
Xiaorui Liu, Jiayuan Jin, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang.
Conference on Neural Information Processing Systems (NeurIPS 2021)
[ paper ] [ appendix ] [ slide ] [ poster ] [ code ] [ bibtex ]
Graph Feature Gating Network
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal, Jiliang Tang.
The Conference on Information and Knowledge Management (CIKM 2021)
[ paper ] [ bibtex ]
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah.
The Conference on Information and Knowledge Management (CIKM 2021)
[ paper ] [ bibtex ]
Deep Adversarial Network Alignment
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang.
The Conference on Information and Knowledge Management (CIKM 2021)
[ paper ] [ bibtex ]
Elastic Graph Neural Networks
Xiaorui Liu*, Wei Jin*, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang.
International Conference on Machine Learning (ICML 2021)
Oral paper (3% ≈ 166/5513)
[ paper ] [ video ] [ slide ] [ poster ] [ code ] [ bibtex ]
To be Robust or to be Fair: Towards Fairness in Adversarial Training
Xiaorui Liu*, Han Xu*, Yaxin Li, Anil Jain, Jiliang Tang.
International Conference on Machine Learning (ICML 2021)
Spotlight paper (21% ≈ 1184/5513)
[ paper ] [ video ] [ slide ] [ bibtex ]
Linear Convergent Decentralized Optimization with Compression
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan.
International Conference on Learning Representations (ICLR 2021)
Score ranking (3% ≈ 77/2976)
[ paper ] [ slide ] [ poster ] [ video ] [ bibtex ]
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily
Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang.
SIAM International Conference on Data Mining (SDM 2021)
[ paper ] [ bibtex ]
A Double Residual Compression Algorithm for Efficient Distributed Learning
Xiaorui Liu, Yao Li, Jiliang Tang and Ming Yan.
International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
[ abs ] [ paper ] [ supplementary ] [ slide ] [ video ] [ bibtex ]
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang.
ACM International Conference on Knowledge Discovery & Data Mining (KDD 2020)
[ paper ] [ code ] [ slide ] [ bibtex ]
Deep Adversarial Canonical Correlation Analysis
Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, and Jiliang Tang.
SIAM International Conferenceon Data Mining (SDM 2020)
[ paper ] [ bibtex ]
Epidemic Graph Convolutional Network
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu Aggarwal and Jiliang Tang.
ACM International Conference on Web Search and Data Mining (WSDM 2020)
[ paper ] [ code ] [ bibtex ]
Weight Loss Prediction in Social-Temporal Context
Zhiwei Wang, Xiaorui Liu, Jiliang Tang and Dawei Yin.
IEEE International Conference on Healthcare Informatics (ICHI 2019)
[ paper ] [ bibtex ]
Best Paper Honorable Mention Award
A Survey on Dialogue Systems: Recent Advances and New Frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin and Jiliang Tang.
ACM SIGKDD Explorations Newsletter (SIGKDD Explorations 2017).
[ paper ] [ bibtex ]
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 and Lianwen Jin.
Chinese Conference on Pattern Recognition (CCPR 2016).
A Pointing Gesture based Egocentric Interaction System: Dataset, Approach and Application
Yichao Huang, Xiaorui Liu, Xin Zhang and Lianwen Jin.
CVPR Workshop 2016. Check out our demo for Real-time Air Writing System!
Deepfinger: A Cascade Convolutional Neural Network Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera
Yichao Huang, Xiaorui Liu, Lianwen Jin and Xin Zhang.
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015).
Fangtong Zhou, Xiaorui Liu, Ruozhou Yu, Guoliang Xue
Zhichao Hou, Weizhi Gao, Hamid Krim, Xiaorui Liu
Wei Wang, Zhichao Hou, Xiaorui Liu, Xinxia Peng
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Xiaorui Liu, et al
Hanbing Wang, Xiaorui Liu, et al
Zhichao Hou, Xitong Zhang, Wei Wang, Charu Aggarwal, Xiaorui Liu
Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
Decentralized Composite Optimization with Compression
Xiaorui Liu*, Yao Li*, Jiliang Tang, Ming Yan, Kun Yuan.