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Yuxiang Gao
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2020 – today
- 2024
- [j11]Yinglin Chen, Peng Xiao, Yuxiang Gao, Bo Zhao, Jixing Qin:
Periodic Signal Recovery and Detection from 1-Bit Measurements Using Convolutional Neural Network. Circuits Syst. Signal Process. 43(8): 5328-5347 (2024) - [j10]Yi Zhu, Yuxiang Gao, Qiao Yu:
An Empirical Study on Model-Agnostic Techniques for Source Code-Based Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 34(3): 511-544 (2024) - [j9]Maia Stiber, Yuxiang Gao, Russell H. Taylor, Chien-Ming Huang:
Forging Productive Human-Robot Partnerships Through Task Training. ACM Trans. Hum. Robot Interact. 13(1): 3:1-3:21 (2024) - [i3]Yuxiang Gao, Soheil Kolouri, Ravindra Duddu:
Physics informed cell representations for variational formulation of multiscale problems. CoRR abs/2405.16770 (2024) - 2023
- [j8]Yuxiang Gao, Gourab Ghosh, Stephen Jiménez, Ravindra Duddu:
A Finite-Element-Based Cohesive Zone Model of Water-Filled Surface Crevasse Propagation in Floating Ice Tongues. Comput. Sci. Eng. 25(3): 8-16 (2023) - [j7]Ruiquan Chen, Guanghua Xu, Jinju Pei, Yuxiang Gao, Sicong Zhang, Chengcheng Han:
Typical stochastic resonance models and their applications in steady-state visual evoked potential detection technology. Expert Syst. Appl. 225: 120141 (2023) - [j6]Tangfei Tao, Yuxiang Gao, Yaguang Jia, Ruiquan Chen, Ping Li, Guanghua Xu:
A Multi-Channel Ensemble Method for Error-Related Potential Classification Using 2D EEG Images. Sensors 23(5): 2863 (2023) - [j5]Xiaobo Chen, Yuxiang Gao, Haoze Yu, Hai Wang, Yingfeng Cai:
Driving Style Feature Extraction and Recognition Based on Hyperdimensional Computing and Semi-Supervised Twin Projection Vector Machine. IEEE Trans. Intell. Transp. Syst. 24(12): 13976-13988 (2023) - [c13]Ao Xu, Yi Zhu, Yuxiang Gao, Qiao Yu, Guosheng Hao:
Validity Analysis of Software Defect Prediction Model for Mis-label Correction Based on CleanLab. DSA 2023: 233-241 - 2022
- [j4]Yuxiang Gao, Yi Zhu, Yu Zhao:
Dealing with imbalanced data for interpretable defect prediction. Inf. Softw. Technol. 151: 107016 (2022) - [c12]Xiaobo Chen, Yuxiang Gao:
Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection. DMBD (1) 2022: 394-407 - [c11]Shu Feng, Yi Zhu, Mei Song, Yuxiang Gao:
Analysis and Verification of Bisimulation Relationship for Learning Time-Behavior Sequence. DSA 2022: 803-812 - [c10]Yuxiang Gao, Tangfei Tao, Yaguang Jia:
Error Related Potential Classification Using a 2-D Convolutional Neural Network. ICIRA (2) 2022: 711-721 - [c9]Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang:
Learning a Group-Aware Policy for Robot Navigation. IROS 2022: 11328-11335 - [c8]Yuxiang Gao, Yi Zhu, Qiao Yu:
Evaluating the effectiveness of local explanation methods on source code-based defect prediction models. MSR 2022: 640-645 - 2021
- [j3]Yuxiang Gao, Chien-Ming Huang:
Evaluation of Socially-Aware Robot Navigation. Frontiers Robotics AI 8: 721317 (2021) - 2020
- [j2]Chaoyu Xia, Yuxiang Gao, J. Yu, ZH. Yu:
Block-sparse signal recovery based on orthogonal matching pursuit via stage-wise weak selection. Signal Image Video Process. 14(1): 97-105 (2020) - [j1]Chaoyu Xia, Yuxiang Gao, L. Li, J. Yu:
Robust signal recovery using Bayesian compressed sensing based on Lomax prior. Signal Image Video Process. 14(6): 1235-1243 (2020) - [c7]Chunni Guo, Yuxiang Gao, Chaoyu Xia:
Improved Newton Iteration Method and Convergence Order Analysis. ICDSP 2020: 29-32 - [i2]Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang:
Group-Aware Robot Navigation in Crowded Environments. CoRR abs/2012.12291 (2020)
2010 – 2019
- 2019
- [c6]Yuxiang Gao, Chien-Ming Huang:
PATI: a projection-based augmented table-top interface for robot programming. IUI 2019: 345-355 - 2018
- [c5]Peng Zhang, Yuxiang Gao, Xiang Shi:
QuantCloud: A Software with Automated Parallel Python for Quantitative Finance Applications. QRS 2018: 388-396 - [i1]Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu, Dongyan Wang:
MiMatrix: A Massively Distributed Deep Learning Framework on a Petascale High-density Heterogeneous Cluster. CoRR abs/1802.02326 (2018) - 2017
- [c4]Chuan Zhou, Yuxiang Gao, Waylon Howard:
Evaluation of Combining Bootstrap with Multiple Imputation Using R on Knights Landing Platform. CSCloud 2017: 14-17 - [c3]Yuxiang Gao, Wei-Min Chen:
Family Relationship Inference Using Knights Landing Platform. CSCloud 2017: 27-30 - [c2]Yuxiang Gao, Tongling Zhang, Baijian Yang:
Finding the Best Box-Cox Transformation in Big Data with Meta-Model Learning: A Case Study on QCT Developer Cloud. CSCloud 2017: 31-34 - 2014
- [c1]Yung-Chin Fang, Yuxiang Gao, Cindy Stap:
Future Enterprise Computing Looking into 2020. FCC 2014: 127-134
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