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ORCIDXiaorui Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j9]Zhonghao Zhang
, Xiaorui Liu, Wanyue Jiang:
Adaptive tracking control of a nonholonomic wheeled mobile robot with multiple disturbances and input constraints. Autom. 72(1): 35-46 (2024)- [c46]Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr:
Data Quality-aware Graph Machine Learning. CIKM 2024: 5534-5537 - [c45]Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu:
Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. DSAA 2024: 1-2 - [c44]Xiao Wu, Xuan Mu, Wen Qi, Xiaorui Liu:
A Cross-Attention Emotion Recognition Algorithm Based on Audio and Video Modalities. ICASSP Workshops 2024: 309-313 - [c43]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 - [c42]Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu:
Linear-Time Graph Neural Networks for Scalable Recommendations. WWW 2024: 3533-3544 - [i44]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 abs/2402.09543 (2024) - [i43]Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu:
Linear-Time Graph Neural Networks for Scalable Recommendations. CoRR abs/2402.13973 (2024) - [i42]Yunqing Li, Xiaorui Liu, Binil Starly:
Manufacturing Service Capability Prediction with Graph Neural Networks. CoRR abs/2403.17239 (2024) - [i41]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 abs/2404.14928 (2024) - [i40]Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu:
Robustness Reprogramming for Representation Learning. CoRR abs/2410.04577 (2024) - [i39]Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu:
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. CoRR abs/2410.05416 (2024) - [i38]Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu:
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. CoRR abs/2410.23182 (2024) - [i37]Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu:
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. CoRR abs/2411.00899 (2024) - 2023
- [j8]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: 109718 (2023) - [j7]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): 4:1-4:59 (2023) - [c41]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: 654-667 - [c40]Guangjing Wang, Hanqing Guo, Anran Li, Xiaorui Liu, Qiben Yan:
Federated IoT Interaction Vulnerability Analysis. ICDE 2023: 1517-1530 - [c39]Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang:
Alternately Optimized Graph Neural Networks. ICML 2023: 12411-12429 - [c38]Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu:
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML 2023: 38926-38937 - [c37]Hua Liu, Haoyu Han, Wei Jin, Xiaorui Liu, Hui Liu:
Enhancing Graph Representations Learning with Decorrelated Propagation. KDD 2023: 1466-1476 - [c36]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: 2801-2812 - [c35]Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu:
Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD 2023: 5835-5836 - [c34]Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang:
Towards Label Position Bias in Graph Neural Networks. NeurIPS 2023 - [i36]Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu:
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR abs/2302.01503 (2023) - [i35]Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang:
Towards Label Position Bias in Graph Neural Networks. CoRR abs/2305.15822 (2023) - [i34]Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu:
Can Directed Graph Neural Networks be Adversarially Robust? CoRR abs/2306.02002 (2023) - [i33]Wendi Yu, Zhichao Hou, Xiaorui Liu:
Automated Polynomial Filter Learning for Graph Neural Networks. CoRR abs/2307.07956 (2023) - [i32]Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu:
Robust Graph Neural Networks via Unbiased Aggregation. CoRR abs/2311.14934 (2023) - [i31]Rui Xue, Xipeng Shen, Ruozhou Yu, Xiaorui Liu:
Efficient Large Language Models Fine-Tuning On Graphs. CoRR abs/2312.04737 (2023) - 2022
- [c33]Yurui Xu, Xiao Wu, Hang Su, Xiaorui Liu:
Multimodal Emotion Recognition Based on Feature Fusion. ICARM 2022: 7-11 - [c32]Xiao Wu, Dekang Zhang, Xiaorui Liu:
Primary Study on the Face-recognition Framework with anti-spoofing function. ICDIS 2022: 474-477 - [c31]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. ICDM 2022: 1209-1214 - [c30]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? ICLR 2022 - [c29]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. ICLR 2022 - [c28]Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD 2022: 709-719 - [c27]Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang:
Learning from Imbalanced Crowdsourced Labeled Data. SDM 2022: 594-602 - [c26]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Filtering Networks for Recommendation. SIGIR 2022: 112-121 - [c25]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: 391-399 - [e3]Filippo Cavallo, John-John Cabibihan, Laura Fiorini, Alessandra Sorrentino, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge:
Social Robotics - 14th International Conference, ICSR 2022, Florence, Italy, December 13-16, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13817, Springer 2022, ISBN 978-3-031-24666-1 [contents] - [e2]Filippo Cavallo, John-John Cabibihan, Laura Fiorini, Alessandra Sorrentino, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge:
Social Robotics - 14th International Conference, ICSR 2022, Florence, Italy, December 13-16, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13818, Springer 2022, ISBN 978-3-031-24669-2 [contents] - [i30]Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang:
Enhancing Adversarial Training with Feature Separability. CoRR abs/2205.00637 (2022) - [i29]Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang:
Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR abs/2206.00769 (2022) - [i28]Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang:
Alternately Optimized Graph Neural Networks. CoRR abs/2206.03638 (2022) - [i27]Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR abs/2206.07743 (2022) - [i26]Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang:
Towards Fair Classification against Poisoning Attacks. CoRR abs/2210.09503 (2022) - 2021
- [j6]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: 2545-2563 (2021) - [j5]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: 29775-29818 (2021) - [c24]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CIKM 2021: 352-361 - [c23]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CIKM 2021: 813-822 - [c22]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: 1202-1211 - [c21]Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou:
Faster than real-time simulation: methods, tools, and applications. MSCPES@CPSIoTWeek 2021: 3:1-3:7 - [c20]Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan:
Linear Convergent Decentralized Optimization with Compression. ICLR 2021 - [c19]Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang:
Elastic Graph Neural Networks. ICML 2021: 6837-6849 - [c18]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: 11492-11501 - [c17]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: 4044-4045 - [c16]Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang:
Adversarial Robustness in Deep Learning: From Practices to Theories. KDD 2021: 4086-4087 - [c15]Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang:
Graph Neural Networks with Adaptive Residual. NeurIPS 2021: 9720-9733 - [c14]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM 2021: 540-548 - [c13]Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin:
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. SmartGridComm 2021: 95-101 - [e1]Haizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Pérez-Osorio:
Social Robotics - 13th International Conference, ICSR 2021, Singapore, November 10-13, 2021, Proceedings. Lecture Notes in Computer Science 13086, Springer 2021, ISBN 978-3-030-90524-8 [contents] - [i25]Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou:
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. CoRR abs/2101.10198 (2021) - [i24]Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou, Yier Jin:
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. CoRR abs/2103.13568 (2021) - [i23]Xiaorui Liu, Juan Ospina, Ioannis Zografopoulos, Alonzo Russell, Charalambos Konstantinou:
Faster than Real-Time Simulation: Methods, Tools, and Applications. CoRR abs/2104.04149 (2021) - [i22]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CoRR abs/2105.04493 (2021) - [i21]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 abs/2106.04794 (2021) - [i20]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. CoRR abs/2106.05470 (2021) - [i19]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? CoRR abs/2106.06134 (2021) - [i18]Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. CoRR abs/2107.06641 (2021) - [i17]Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang:
Elastic Graph Neural Networks. CoRR abs/2107.06996 (2021) - [i16]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. CoRR abs/2107.13639 (2021) - [i15]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 abs/2108.03388 (2021) - [i14]Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan:
Decentralized Composite Optimization with Compression. CoRR abs/2108.04448 (2021) - [i13]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Networks for Recommendations. CoRR abs/2108.05552 (2021) - 2020
- [j4]Xiaorui Liu, Juan Ospina, Charalambos Konstantinou:
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. IEEE Access 8: 208378-208394 (2020) - [c12]Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS 2020: 133-143 - [c11]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: 69 - [c10]Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. KDD 2020: 66-74 - [c9]Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang:
Deep Adversarial Canonical Correlation Analysis. SDM 2020: 352-360 - [c8]Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang:
Epidemic Graph Convolutional Network. WSDM 2020: 160-168 - [i12]Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. CoRR abs/2005.10203 (2020) - [i11]Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan:
Linear Convergent Decentralized Optimization with Compression. CoRR abs/2007.00232 (2020) - [i10]Xiaorui Liu, Juan Ospina, Charalambos Konstantinou:
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. CoRR abs/2007.03025 (2020) - [i9]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 abs/2008.06926 (2020) - [i8]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR abs/2009.01672 (2020) - [i7]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR abs/2010.01777 (2020) - [i6]Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang:
To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR abs/2010.06121 (2020) - [i5]Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin:
On the Feasibility of Load-Changing Attacks in Power Systems during the COVID-19 Pandemic. CoRR abs/2011.09982 (2020)
2010 – 2019
- 2019
- [c7]Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin:
Weight Loss Prediction in Social-Temporal Context. ICHI 2019: 1-9 - [c6]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: 1-7 - [i4]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CoRR abs/1902.10307 (2019) - [i3]Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR abs/1910.07561 (2019) - 2018
- [j3]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): 2729 (2018) - [c5]Xiaorui Liu, Anastasis Keliris, Charalambos Konstantinou, Marios Sazos, Michail Maniatakos:
Assessment of Low-Budget Targeted Cyberattacks Against Power Systems. VLSI-SoC (Selected Papers) 2018: 232-256 - 2017
- [j2]Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. 19(2): 25-35 (2017) - [i2]Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR abs/1711.01731 (2017) - 2016
- [j1]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): 1184-1192 (2016) - [c4]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: 145-154 - [c3]Yichao Huang, Xiaorui Liu, Xin Zhang, Lianwen Jin:
A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application. CVPR Workshops 2016: 370-377 - 2015
- [c2]Xiaofei Chen, Xiaorui Liu, Yingjie Zhang, Xuecheng Zou, Shuangxi Lin:
An overview of soft-switching technique for flyback converters. ASICON 2015: 1-4 - [c1]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: 2944-2949 - [i1]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 abs/1511.02282 (2015)
Coauthor Index
[c43] [i44] [j7] [c41] [c39] [c36] [c35] [c34] [i35] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i30] [i29] [i28] [i27] [i26] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c12] [c10] [c9] [c8] [i12] [i11] [i8] [i7] [i6] [c7] [i4] [i3] [j2] [i2]
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