Yuxiang Gao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Signal Recovery

Convolutional Neural Network

Landmark Recognition

Robot Navigation

Top Venues

Publications

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) (2024)
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) (2024)
Yuxiang Gao, Soheil Kolouri, Ravindra Duddu
Physics informed cell representations for variational formulation of multiscale problems. CoRR (2024)
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)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
Yuxiang Gao, Tangfei Tao, Yaguang Jia
Error Related Potential Classification Using a 2-D Convolutional Neural Network. ICIRA (2) (2022)
Yuxiang Gao, Yi Zhu, Yu Zhao
Dealing with imbalanced data for interpretable defect prediction. Inf. Softw. Technol. 151 (2022)
Shu Feng, Yi Zhu, Mei Song, Yuxiang Gao
Analysis and Verification of Bisimulation Relationship for Learning Time-Behavior Sequence. DSA (2022)
Yuxiang Gao, Yi Zhu, Qiao Yu
Evaluating the effectiveness of local explanation methods on source code-based defect prediction models. MSR (2022)
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)
Xiaobo Chen, Yuxiang Gao
Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection. DMBD (1) (2022)
Yuxiang Gao, Chien-Ming Huang
Evaluation of Socially-Aware Robot Navigation. Frontiers Robotics AI 8 (2021)
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang
Group-Aware Robot Navigation in Crowded Environments. CoRR (2020)
Chunni Guo, Yuxiang Gao, Chaoyu Xia
Improved Newton Iteration Method and Convergence Order Analysis. ICDSP (2020)
Yuxiang Gao, Chien-Ming Huang
PATI: a projection-based augmented table-top interface for robot programming. IUI (2019)
Peng Zhang, Yuxiang Gao, Xiang Shi
QuantCloud: A Software with Automated Parallel Python for Quantitative Finance Applications. QRS (2018)
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 (2018)
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)
Yuxiang Gao, Wei-Min Chen
Family Relationship Inference Using Knights Landing Platform. CSCloud (2017)
Chuan Zhou, Yuxiang Gao, Waylon Howard
Evaluation of Combining Bootstrap with Multiple Imputation Using R on Knights Landing Platform. CSCloud (2017)
Yung-Chin Fang, Yuxiang Gao, Cindy Stap
Future Enterprise Computing Looking into 2020. FCC (2014)