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Xingyi Liu
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2020 – today
- 2024
- [j16]Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn:
MultiWD: Multi-label wellness dimensions in social media posts. J. Biomed. Informatics 150: 104586 (2024) - [j15]Jie Su, Xingyi Liu, Yuzhe Wang, Xingyu Lu, Xiaokai Niu, Jiangtao Zhao:
In Situ Test and Numerical Analysis of the Subway-Induced Vibration Influence in Historical and Cultural Reserves. Sensors 24(9): 2860 (2024) - [j14]Xingyi Liu, Keshab K. Parhi:
Reservoir Computing With Dynamic Reservoir using Cascaded DNA Memristors. IEEE Trans. Biomed. Circuits Syst. 18(1): 131-144 (2024) - [c11]Fenghua Tang, Yifang Li, Ke Xu, Tingting Guo, Yuchen Li, Jiayao Li, Simin Ren, Zihan Niu, Xingyi Liu, Xinyi An, Yuxin Miao, Xinran Xu, Yiqi Chen, Lingjun Liu, Dan Qiu, Jiaqing Xiong, Bowen Li, Ruonan Huang, Mengmeng Xu, Yang Guo, Wei Liu:
Empowering Work-Life Harmony: Introducing a Porsche-Inspired Voice Digital Assistants Tailored for Women. HCI (33) 2024: 365-375 - 2023
- [j13]Wing Man Wynne Lam, Xingyi Liu:
Dancing with rivals: How does platform's information usage benefit independent sellers? Eur. J. Oper. Res. 309(1): 421-431 (2023) - [c10]Muskan Garg, Ronald C. Petersen, Xingyi Liu, Jennifer St. Sauver, Maria Vassilaki, Sunghwan Sohn:
Navigating Sex-Specific Disease Dynamics in Incident Dementia. BIBM 2023: 4065-4072 - [c9]Carl Anderson, Xingyi Liu, Keshab K. Parhi:
Analysis of Molecular MUX PUFs with Stochastic Challenges. MWSCAS 2023: 40-44 - [c8]Jingwen Chen, Xingyi Liu, Mingzhi Wang, Yongli Xiao, Dianhui Chu, Chunshan Li, Feng Wang:
ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-intent Detection and Slot Filling. NCAA (2) 2023: 215-228 - [i4]Xingyi Liu, Keshab K. Parhi:
Tensor Decomposition for Model Reduction in Neural Networks: A Review. CoRR abs/2304.13539 (2023) - 2022
- [j12]Beixian Zhang, Meiling Liu, Bo Zhou, Xingyi Liu:
Graph learning in low dimensional space for graph convolutional networks. Multim. Tools Appl. 81(24): 34263-34279 (2022) - [j11]Yangding Li, Yingying Wan, Xingyi Liu:
Semi-supervised Learning with Graph Convolutional Networks Based on Hypergraph. Neural Process. Lett. 54(4): 2629-2644 (2022) - [j10]Linjun Chen, Xingyi Liu, Zexin Li:
Nonlinear Graph Learning-Convolutional Networks for Node Classification. Neural Process. Lett. 54(4): 2727-2736 (2022) - 2021
- [j9]Mingxing Yuan, Zheng Chen, Bin Yao, Xingyi Liu:
Fast and Accurate Motion Tracking of a Linear Motor System Under Kinematic and Dynamic Constraints: An Integrated Planning and Control Approach. IEEE Trans. Control. Syst. Technol. 29(2): 804-811 (2021) - [j8]Xingyi Liu, Zheng Chen, Yingqiang Liu, Fuxin Duan, Can Yang, Bin Yao:
Direct Optimization Based Compensation Adaptive Robust Control of Nonlinear Systems With State and Input Constraints. IEEE Trans. Ind. Informatics 17(8): 5441-5449 (2021) - [c7]Qimin Luo, Guangquan Lu, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei:
Balanced Spectral Clustering Algorithm Based on Feature Selection. ADMA 2021: 356-367 - [c6]Xingyi Liu, Yingqiang Liu, Fuxin Duan, Zheng Chen, Bin Yao:
Precision Motion Control of Constrained SISO Nonlinear System via Direct Optimized Compensation. ICM 2021: 1-6 - [c5]Yingqiang Liu, Xingyi Liu, Bobo Helian, Zheng Chen, Bin Yao:
Hybrid Reference Governor-Based Adaptive Robust Control of a Linear Motor Driven System. ICM 2021: 1-7 - 2020
- [j7]Xingyi Liu, Keshab K. Parhi:
Molecular and DNA Artificial Neural Networks via Fractional Coding. IEEE Trans. Biomed. Circuits Syst. 14(3): 490-503 (2020)
2010 – 2019
- 2019
- [j6]Jianguo Xu, Xingyi Liu, Binbin Wang, Jiaqi Lin:
Deep Belief Network-Based Gas Path Fault Diagnosis for Turbofan Engines. IEEE Access 7: 170333-170342 (2019) - [j5]Chengzhi Li, Xingyi Liu, Huimin You, Hong Zhang, Yuqi Liu, Yan Zhang:
Perfusion imaging with 320-slice spiral computed tomography and color-coded digital subtraction angiography for assessing acute skeletal muscle ischemia-reperfusion injury in a rabbit model. BMC Medical Imaging 19(1): 75:1-75:8 (2019) - [c4]Xingyi Liu, Keshab K. Parhi:
Training DNA Perceptrons via Fractional Coding. ACSSC 2019: 614-618 - [c3]Xingyi Liu, Keshab K. Parhi:
Computing Radial Basis Function Support Vector Machine using DNA via Fractional Coding. DAC 2019: 143 - [c2]Xingyi Liu, Mingxing Yuan, Zheng Chen, Bin Yao, Qingfeng Wang:
Constrained Time-Optimal Motion Control of a Linear Motor Driven System: Theory and Experiments. ICIT 2019: 72-77 - [i3]Xingyi Liu, Keshab K. Parhi:
Molecular and DNA Artificial Neural Networks via Fractional Coding. CoRR abs/1910.05643 (2019) - [i2]Xingyi Liu, Keshab K. Parhi:
Training DNA Perceptrons via Fractional Coding. CoRR abs/1911.07110 (2019) - 2017
- [j4]Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong:
Feature selection by combining subspace learning with sparse representation. Multim. Syst. 23(3): 285-291 (2017) - [j3]Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao:
Learning in high-dimensional multimedia data: the state of the art. Multim. Syst. 23(3): 303-313 (2017) - [j2]Yonghua Zhu, Zhengyou Liang, Xingyi Liu, Ke Sun:
Self-representation graph feature selection method for classification. Multim. Syst. 23(3): 351-356 (2017) - [i1]Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao:
Learning in High-Dimensional Multimedia Data: The State of the Art. CoRR abs/1707.02683 (2017) - 2015
- [j1]Xiaofeng Zhu, Qing Xie, Yonghua Zhu, Xingyi Liu, Shichao Zhang:
Multi-view multi-sparsity kernel reconstruction for multi-class image classification. Neurocomputing 169: 43-49 (2015)
2000 – 2009
- 2009
- [c1]Xingyi Liu:
Cost-sensitive Decision Tree with Missing Values and Multiple Cost Scales. JCAI 2009: 294-297
Coauthor Index
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last updated on 2024-10-04 20:56 CEST by the dblp team
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