Xiaorui Liu - RankMe

138 papers A* 30A 10B 5Journal 73Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Social Navigation Framework Based on Laplace Group Dynamics for Humanoid Robot in the Dynamic Scenario. IEEE Trans Autom. Sci. Eng. Xuan Mu, Xiaorui Liu, Qingyang Fan, Lin Liu, Jinpeng Yu
2026	J	`jnl`	Traffic Engineering in Large-Scale Networks With Generalizable Graph Neural Networks. IEEE Trans. Netw. Fangtong Zhou, Sihao Liu, Xiaorui Liu, Ruozhou Yu, Guoliang Xue
2026	A	`conf`	Unlearning Inversion Attacks for Graph Neural Networks. WSDM Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025	J	`jnl`	A Class of Dual-Frame Passively-Tilting Fully-Actuated Hexacopter. CoRR Jiajun Liu, Yimin Zhu, Xiaorui Liu, Mingye Cao, Mingchao Li, Lixian Zhang
2025	—	`conf`	Autoregressive-Conditioned Diffusion for Semi-Supervised Thyroid Ultrasound Segmentation with Optical Flow-Based Pseudo Labels. ICCVW Xiaorui Liu, Yijun Yang, Yingjing Xu, Lei Zhu
2025	J	`jnl`	Boosting Adversarial Robustness and Generalization with Structural Prior. CoRR Zhichao Hou, Weizhi Gao, Hamid Krim, Xiaorui Liu
2025	J	`jnl`	Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection. CoRR Weizhi Gao, Xiaorui Liu, Feiyi Wang, Dan Lu, Junqi Yin
2025	—	`conf`	Efficient End-to-end Language Model Fine-tuning on Graphs. KDD (2) Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
2025	—	`conf`	Exploratory Analysis of the Regulation of Long Non-Coding RNA Transcription with Nucleotide Large Language Models. BIBM Wei Wang, Zhichao Hou, Tianfu Wu, Xiaorui Liu, Xinxia Peng
2025	J	`jnl`	Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget. CoRR Zhichao Hou, Weizhi Gao, Xiaorui Liu
2025	J	`jnl`	Graph Machine Learning in the Era of Large Language Models (LLMs). ACM Trans. Intell. Syst. Technol. Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Wenqi Fan, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2025	J	`jnl`	Graph Representation Learning and Optimization for Spherical Emission Source Microscopy System. IEEE Trans Autom. Sci. Eng. Xiaorui Liu, Zijie Li, Weihua Zong, Hang Su, Peng Liu, Shuzhi Sam Ge
2025	A*	`conf`	Harnessing Robust Statistics for Trustworthy AI. AAAI Xiaorui Liu
2025	A*	`conf`	Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. ICML Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu
2025	A*	`conf`	HiLT: A Library for Generating Human-in-the-Loop Data Transformation GUIs. UIST Sora Kanosue, Xiaorui Liu, Parker Ziegler, Eric Rawn, Sarah E. Chasins
2025	J	`jnl`	LLMs driven fusion AI-AD system for mechanical design: From understanding to generation. Adv. Eng. Informatics Xiaorui Liu, Yuhao Zhang, Leiqi Wang, Lexiang Gu, Yaning Xu, Ke Zheng, Qianqian Cai, Zhou Gang
2025	A*	`conf`	Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. ICML Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
2025	J	`jnl`	Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. CoRR Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
2025	J	`jnl`	Mutual exclusive gene expression reveals a stress-induced compensatory role of taurine uptake in dilated cardiomyopathy. Briefings Bioinform. Jinpu Cai, Xiaorui Liu, Cheng Wang, Yibo Zhang, Luqi Yang, Bingyi Li, Luting Zhou, Ziqi Rong, Haoyang Liu, Linkang He, Xinzhu Jiang, Hui Cheng, Yu Zhao, Bing He, Jianhua Yao, Hongbin Shen, Shyam Prabhakar, Qiuyu Lian, Liang Chen, Hongyi Xin
2025	J	`jnl`	Online Robot Motion Planning Methodology Guided by Group Social Proxemics Feature. CoRR Xuan Mu, Xiaorui Liu, Shuai Guo, Wenzheng Chi, Wei Wang, Shuzhi Sam Ge
2025	—	`conf`	Quantifying the Risk of Out-of-Gas Conditions in Ethereum Smart Contracts. ICAIC Maryam Massoud Ahmed, Michael Lim, Xiaorui Liu, Shen-Shyang Ho, Nikolay Ivanov
2025	J	`jnl`	ReCon1M: A Large-Scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. Qiwei Yan, Chubo Deng, Chenglong Liu, Zhongyan Hou, Xiaorui Liu, Yi Jiang, Wanxuan Lu, Fanglong Yao, Xiaoyu Liu, Lingxiang Hao, Hongfeng Yu, Xian Sun
2025	—	`conf`	Rethinking Large Language Model Architectures for Sequential Recommendations. IJCNLP-AACL (long papers) Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Pratap Yadav, Fei Wang, Zhen Wen, Hui Liu
2025	A*	`conf`	Robustness Reprogramming for Representation Learning. ICLR Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
2025	B	`conf`	Scalable and Efficient Tensor Message-Passing Hypergraph Neural Networks. IEEE Big Data Syed Ahmed Taimoor, Shruti Shivakumar, Xiaorui Liu, Ramakrishnan Kannan, Jiajia Li
2025	J	`jnl`	Scene-Specific Multiprototype Network for Remote Sensing Scene Graph Generation. IEEE Trans. Geosci. Remote. Sens. Zhongyan Hou, Chubo Deng, Qiwei Yan, Xiaorui Liu, Tong Ling, Wanxuan Lu, Hongfeng Yu, Yingyan Hou, Xian Sun
2025	J	`jnl`	The Methodology of Quantitative Social Intention Evaluation and Robot Gaze Behavior Control in Multiobjects Scenario. IEEE Trans. Cogn. Dev. Syst. Haoyu Zhu, Xiaorui Liu, Hang Su, Wei Wang, Jinpeng Yu
2025	J	`jnl`	Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr
2025	J	`jnl`	Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks. CoRR Fangtong Zhou, Xiaorui Liu, Ruozhou Yu, Guoliang Xue
2025	J	`jnl`	Unlearning Inversion Attacks for Graph Neural Networks. CoRR Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2024	—	`conf`	A Cross-Attention Emotion Recognition Algorithm Based on Audio and Video Modalities. ICASSP Workshops Xiao Wu, Xuan Mu, Wen Qi, Xiaorui Liu
2024	J	`jnl`	Adaptive tracking control of a nonholonomic wheeled mobile robot with multiple disturbances and input constraints. Autom. Zhonghao Zhang, Xiaorui Liu, Wanyue Jiang
2024	B	`conf`	Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. DSAA Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu
2024	B	`conf`	Automated Polynomial Filter Learning for Graph Neural Networks. IEEE Big Data Wendi Yu, Zhichao Hou, Xiaorui Liu
2024	A*	`conf`	Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. NeurIPS Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu
2024	J	`jnl`	Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. CoRR Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu
2024	A	`conf`	Data Quality-aware Graph Machine Learning. CIKM Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr
2024	J	`jnl`	Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs. CoRR Wei Wang, Zhichao Hou, Xiaorui Liu, Xinxia Peng
2024	J	`jnl`	Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
2024	J	`jnl`	Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. CoRR Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu
2024	A*	`conf`	Linear-Time Graph Neural Networks for Scalable Recommendations. WWW Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
2024	J	`jnl`	Linear-Time Graph Neural Networks for Scalable Recommendations. CoRR Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
2024	J	`jnl`	Manufacturing Service Capability Prediction with Graph Neural Networks. CoRR Yunqing Li, Xiaorui Liu, Binil Starly
2024	A*	`conf`	ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. NeurIPS Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
2024	J	`jnl`	ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. CoRR Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
2024	J	`jnl`	Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu
2024	A*	`conf`	Robust Graph Neural Networks via Unbiased Aggregation. NeurIPS Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu
2024	J	`jnl`	Robustness Reprogramming for Representation Learning. CoRR Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
2024	A*	`conf`	Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2023	J	`jnl`	A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context. Complex Intell. Syst. Yurui Xu, Hang Su, Guijin Ma, Xiaorui Liu
2023	A*	`conf`	Alternately Optimized Graph Neural Networks. ICML Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023	J	`jnl`	Automated Polynomial Filter Learning for Graph Neural Networks. CoRR Wendi Yu, Zhichao Hou, Xiaorui Liu
2023	J	`jnl`	Can Directed Graph Neural Networks be Adversarially Robust? CoRR Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu
2023	J	`jnl`	Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning. Comput. Ind. Eng. Min Zhang, Liang Wang, Fusheng Qiu, Xiaorui Liu
2023	J	`jnl`	Efficient Large Language Models Fine-Tuning On Graphs. CoRR Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu
2023	A*	`conf`	Enhancing Graph Representations Learning with Decorrelated Propagation. KDD Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu
2023	A*	`conf`	Federated IoT Interaction Vulnerability Analysis. ICDE Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan
2023	A*	`conf`	How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
2023	A*	`conf`	Jointly Attacking Graph Neural Network and its Explanations. ICDE Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023	A*	`conf`	Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2023	A*	`conf`	LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023	J	`jnl`	LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023	J	`jnl`	Robust Graph Neural Networks via Unbiased Aggregation. CoRR Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu
2023	A*	`conf`	Towards Label Position Bias in Graph Neural Networks. NeurIPS Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Towards Label Position Bias in Graph Neural Networks. CoRR Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 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	J	`jnl`	Alternately Optimized Graph Neural Networks. CoRR Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang
2022	A*	`conf`	Automated Self-Supervised Learning for Graphs. ICLR Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022	J	`jnl`	Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang
2022	J	`jnl`	Enhancing Adversarial Training with Feature Separability. CoRR Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
2022	A*	`conf`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	J	`jnl`	Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022	A*	`conf`	Graph Trend Filtering Networks for Recommendation. SIGIR Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2022	A*	`conf`	Imbalanced Adversarial Training with Reweighting. ICDM Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022	A*	`conf`	Is Homophily a Necessity for Graph Neural Networks? ICLR Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2022	A	`conf`	Learning from Imbalanced Crowdsourced Labeled Data. SDM Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
2022	—	`conf`	Multimodal Emotion Recognition Based on Feature Fusion. ICARM Yurui Xu, Xiao Wu, Hang Su, Xiaorui Liu
2022	—	`conf`	Primary Study on the Face-recognition Framework with anti-spoofing function. ICDIS Xiao Wu, Dekang Zhang, Xiaorui Liu
2022	—	`ed.`	Social Robotics - 14th International Conference, ICSR 2022, Florence, Italy, December 13-16, 2022, Proceedings, Part I ICSR (1) Filippo Cavallo, John-John Cabibihan, Laura Fiorini, Alessandra Sorrentino, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge
2022	—	`ed.`	Social Robotics - 14th International Conference, ICSR 2022, Florence, Italy, December 13-16, 2022, Proceedings, Part II ICSR (2) Filippo Cavallo, John-John Cabibihan, Laura Fiorini, Alessandra Sorrentino, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge
2022	J	`jnl`	Towards Fair Classification against Poisoning Attacks. CoRR Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang
2021	A	`conf`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021	A*	`conf`	Adversarial Robustness in Deep Learning: From Practices to Theories. KDD Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021	J	`jnl`	Automated Self-Supervised Learning for Graphs. CoRR Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2021	—	`conf`	CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. SmartGridComm Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin
2021	J	`jnl`	CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. CoRR Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin
2021	J	`jnl`	Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. IEEE Access Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou
2021	J	`jnl`	Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. CoRR Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou
2021	J	`jnl`	Decentralized Composite Optimization with Compression. CoRR Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
2021	A	`conf`	Deep Adversarial Network Alignment. CIKM Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2021	A*	`conf`	Elastic Graph Neural Networks. ICML Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Elastic Graph Neural Networks. CoRR Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021	J	`jnl`	Faster than Real-Time Simulation: Methods, Tools, and Applications. CoRR Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou
2021	—	`conf`	Faster than real-time simulation: methods, tools, and applications. MSCPES@CPSIoTWeek Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou
2021	A	`conf`	Graph Feature Gating Networks. CIKM Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	J	`jnl`	Graph Feature Gating Networks. CoRR Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021	A*	`conf`	Graph Neural Networks with Adaptive Residual. NeurIPS Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 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	J	`jnl`	Graph Trend Networks for Recommendations. CoRR Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2021	J	`jnl`	Imbalanced Adversarial Training with Reweighting. CoRR Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2021	J	`jnl`	Is Homophily a Necessity for Graph Neural Networks? CoRR Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2021	J	`jnl`	Jointly Attacking Graph Neural Network and its Explanations. CoRR Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2021	A*	`conf`	Linear Convergent Decentralized Optimization with Compression. ICLR Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2021	J	`jnl`	On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic. IEEE Access Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin
2021	B	`ed.`	Social Robotics - 13th International Conference, ICSR 2021, Singapore, November 10-13, 2021, Proceedings ICSR Haizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Pérez-Osorio
2021	A*	`conf`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
2021	J	`jnl`	Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang
2021	J	`jnl`	Trustworthy AI: A Computational Perspective. CoRR Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang
2021	A	`conf`	Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020	A	`conf`	A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2020	J	`jnl`	A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems. CoRR Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, Xiaorui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou
2020	J	`jnl`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2020	—	`conf`	DEMO: Trustworthy Cyberphysical Energy Systems: Time-Delay Attacks in a Real-Time Co-Simulation Environment. CPSIOTSEC@CCS Juan Ospina, Ioannis Zografopoulos, Xiaorui Liu, Charalambos Konstantinou
2020	A	`conf`	Deep Adversarial Canonical Correlation Analysis. SDM Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
2020	J	`jnl`	Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. IEEE Access Xiaorui Liu, Juan Ospina, Charalambos Konstantinou
2020	J	`jnl`	Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. CoRR Xiaorui Liu, Juan Ospina, Charalambos Konstantinou
2020	A	`conf`	Epidemic Graph Convolutional Network. WSDM Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	A*	`conf`	Graph Structure Learning for Robust Graph Neural Networks. KDD Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	J	`jnl`	Graph Structure Learning for Robust Graph Neural Networks. CoRR Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020	J	`jnl`	Linear Convergent Decentralized Optimization with Compression. CoRR Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2020	J	`jnl`	On the Feasibility of Load-Changing Attacks in Power Systems during the COVID-19 Pandemic. CoRR Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin
2020	J	`jnl`	To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
2020	J	`jnl`	Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2019	J	`jnl`	A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2019	J	`jnl`	Deep Adversarial Network Alignment. CoRR Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2019	—	`conf`	Deep Neural Network-Based Scale Feature Model for BVI Detection and Principal Component Extraction. SPML Lu Wang, Xiaorui Liu, Xiaoqing Hu, Luyang Guan, Ming Bao
2019	—	`conf`	Weight Loss Prediction in Social-Temporal Context. ICHI Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin
2018	J	`jnl`	Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV. Sensors Xiaorui Liu, Fujun Qi, Wangquan Ye, Kai Cheng, Jinjia Guo, Ronger Zheng
2018	—	`conf`	Assessment of Low-Budget Targeted Cyberattacks Against Power Systems. VLSI-SoC (Selected Papers) Xiaorui Liu, Anastasis Keliris, Charalambos Konstantinou, Marios Sazos, Michail Maniatakos
2017	J	`jnl`	A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2017	J	`jnl`	A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2016	—	`conf`	A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application. CVPR Workshops Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin
2016	—	`conf`	Fingertip in the Eye: An Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in Egocentric Videos. CCPR (1) Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin
2016	J	`jnl`	Synergistic Allosteric Mechanism of Fructose-1, 6-bisphosphate and Serine for Pyruvate Kinase M2 via Dynamics Fluctuation Network Analysis. J. Chem. Inf. Model. Jingxu Yang, Hao Liu, Xiaorui Liu, Chengbo Gu, Ray Luo, Hai-Feng Chen
2015	—	`conf`	An overview of soft-switching technique for flyback converters. ASICON Xiaofei Chen, Xiaorui Liu, Yingjie Zhang, Xuecheng Zou, Shuangxi Lin
2015	B	`conf`	DeepFinger: A Cascade Convolutional Neuron Network Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera. SMC Yichao Huang, Xiaorui Liu, Lianwen Jin, Xin Zhang
2015	J	`jnl`	Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos. CoRR Xiaorui Liu, Yichao Huang, Xin Zhang, Lianwen Jin