Xiaorui Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2015–2026

Best venue rank

Where they publish

Papers

45 indexed papers, newest first.

Year	Venue	Title	Authors
2026	ACL	Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration.	Bo Ni, Qinwen Ge, Haowei Fu, Ryan A. Rossi, Xiaorui Liu, Jiejun Xu, Tyler Derr
2026	WSDM	Unlearning Inversion Attacks for Graph Neural Networks.	Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025	AAAI	Harnessing Robust Statistics for Trustworthy AI.	Xiaorui Liu
2025	ICCV	Autoregressive-Conditioned Diffusion for Semi-Supervised Thyroid Ultrasound Segmentation with Optical Flow-Based Pseudo Labels.	Xiaorui Liu, Yijun Yang, Yingjing Xu, Lei Zhu
2025	ICLR	Robustness Reprogramming for Representation Learning.	Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
2025	ICML	Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks.	Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu
2025	ICML	Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization.	Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
2025	IJCNLP	Rethinking Large Language Model Architectures for Sequential Recommendations.	Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Pratap Yadav, Fei Wang, Zhen Wen, Hui Liu
2025	KDD	Efficient End-to-end Language Model Fine-tuning on Graphs.	Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
2025	UIST	HiLT: A Library for Generating Human-in-the-Loop Data Transformation GUIs.	Sora Kanosue, Xiaorui Liu, Parker Ziegler, Eric Rawn, Sarah E. Chasins
2024	CIKM	Data Quality-aware Graph Machine Learning.	Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr
2024	DSAA	Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier.	Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu
2024	ICASSP	A Cross-Attention Emotion Recognition Algorithm Based on Audio and Video Modalities.	Xiao Wu, Xuan Mu, Wen Qi, Xiaorui Liu
2024	ICLR	Structural Fairness-aware Active Learning for Graph Neural Networks.	Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2024	WWW	Linear-Time Graph Neural Networks for Scalable Recommendations.	Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
2023	ICDE	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
2023	ICDE	Federated IoT Interaction Vulnerability Analysis.	Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan
2023	ICML	Alternately Optimized Graph Neural Networks.	Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023	ICML	LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.	Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023	KDD	How does the Memorization of Neural Networks Impact Adversarial Robust Models?	Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
2023	KDD	Enhancing Graph Representations Learning with Decorrelated Propagation.	Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
2023	KDD	Large-Scale Graph Neural Networks: The Past and New Frontiers.	Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2022	ICDM	Imbalanced Adversarial Training with Reweighting.	Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022	ICLR	Is Homophily a Necessity for Graph Neural Networks?	Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2022	ICLR	Automated Self-Supervised Learning for Graphs.	Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022	KDD	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective.	Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	WWW	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 Lyu, 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
2022	SIGIR	Graph Trend Filtering Networks for Recommendation.	Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2022	SDM	Learning from Imbalanced Crowdsourced Labeled Data.	Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
2021	CIKM	A Unified View on Graph Neural Networks as Graph Signal Denoising.	Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021	CIKM	Deep Adversarial Network Alignment.	Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2021	CIKM	Graph Feature Gating Networks.	Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	ICLR	Linear Convergent Decentralized Optimization with Compression.	Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2021	ICML	Elastic Graph Neural Networks.	Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	ICML	To be Robust or to be Fair: Towards Fairness in Adversarial Training.	Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
2021	KDD	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
2021	KDD	Adversarial Robustness in Deep Learning: From Practices to Theories.	Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021	SDM	Yet Meta Learning Can Adapt Fast, it Can Also Break Easily.	Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020	AISTATS	A Double Residual Compression Algorithm for Efficient Distributed Learning.	Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2020	CCS	DEMO: Trustworthy Cyberphysical Energy Systems: Time-Delay Attacks in a Real-Time Co-Simulation Environment.	Juan Ospina, Ioannis Zografopoulos, Xiaorui Liu, Charalambos Konstantinou
2020	KDD	Graph Structure Learning for Robust Graph Neural Networks.	Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	WSDM	Epidemic Graph Convolutional Network.	Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	SDM	Deep Adversarial Canonical Correlation Analysis.	Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
2016	CVPR	A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application.	Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin
2015	SMC	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