Yuxiang Gao

29 papers A 3C 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Energy loss informed cell-based multilayer perceptron for solving elliptic PDEs with multiscale features.
Comput. Math. Appl.
Yuxiang Gao, Ravindra Duddu, Soheil Kolouri
2025 J jnl
GTA: Generating high-performance tensorized program with dual-task scheduling.
J. Syst. Archit.
Anxing Xie, Yonghua Hu, Yaohua Wang, Zhe Li, Yuxiang Gao, Zenghua Cheng
2024 J jnl
An Empirical Study on Model-Agnostic Techniques for Source Code-Based Defect Prediction.
Int. J. Softw. Eng. Knowl. Eng.
Yi Zhu, Yuxiang Gao, Qiao Yu
2024 J jnl
Forging Productive Human-Robot Partnerships Through Task Training.
ACM Trans. Hum. Robot Interact.
Maia Stiber, Yuxiang Gao, Russell H. Taylor, Chien-Ming Huang
2024 J jnl
Periodic Signal Recovery and Detection from 1-Bit Measurements Using Convolutional Neural Network.
Circuits Syst. Signal Process.
Yinglin Chen, Peng Xiao, Yuxiang Gao, Bo Zhao, Jixing Qin
2024 J jnl
Physics informed cell representations for variational formulation of multiscale problems.
CoRR
Yuxiang Gao, Soheil Kolouri, Ravindra Duddu
2023 J jnl
A Finite-Element-Based Cohesive Zone Model of Water-Filled Surface Crevasse Propagation in Floating Ice Tongues.
Comput. Sci. Eng.
Yuxiang Gao, Gourab Ghosh, Stephen Jiménez, Ravindra Duddu
2023 J jnl
A Multi-Channel Ensemble Method for Error-Related Potential Classification Using 2D EEG Images.
Sensors
Tangfei Tao, Yuxiang Gao, Yaguang Jia, Ruiquan Chen, Ping Li, Guanghua Xu
2023 J jnl
Driving Style Feature Extraction and Recognition Based on Hyperdimensional Computing and Semi-Supervised Twin Projection Vector Machine.
IEEE Trans. Intell. Transp. Syst.
Xiaobo Chen, Yuxiang Gao, Haoze Yu, Hai Wang, Yingfeng Cai
2023 J jnl
Typical stochastic resonance models and their applications in steady-state visual evoked potential detection technology.
Expert Syst. Appl.
Ruiquan Chen, Guanghua Xu, Jinju Pei, Yuxiang Gao, Sicong Zhang, Chengcheng Han
2023 — conf
Validity Analysis of Software Defect Prediction Model for Mis-label Correction Based on CleanLab.
DSA
Ao Xu, Yi Zhu, Yuxiang Gao, Qiao Yu, Guosheng Hao
2022 — conf
Analysis and Verification of Bisimulation Relationship for Learning Time-Behavior Sequence.
DSA
Shu Feng, Yi Zhu, Mei Song, Yuxiang Gao
2022 J jnl
Dealing with imbalanced data for interpretable defect prediction.
Inf. Softw. Technol.
Yuxiang Gao, Yi Zhu, Yu Zhao
2022 — conf
Error Related Potential Classification Using a 2-D Convolutional Neural Network.
ICIRA (2)
Yuxiang Gao, Tangfei Tao, Yaguang Jia
2022 A conf
Evaluating the effectiveness of local explanation methods on source code-based defect prediction models.
MSR
Yuxiang Gao, Yi Zhu, Qiao Yu
2022 A conf
Learning a Group-Aware Policy for Robot Navigation.
IROS
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban G. Rivera, I-Jeng Wang, Chien-Ming Huang
2022 — conf
Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection.
DMBD (1)
Xiaobo Chen, Yuxiang Gao
2021 J jnl
Evaluation of Socially-Aware Robot Navigation.
Frontiers Robotics AI
Yuxiang Gao, Chien-Ming Huang
2020 J jnl
Block-sparse signal recovery based on orthogonal matching pursuit via stage-wise weak selection.
Signal Image Video Process.
Chaoyu Xia, Yuxiang Gao, J. Yu, ZH. Yu
2020 J jnl
Group-Aware Robot Navigation in Crowded Environments.
CoRR
Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang
2020 — conf
Improved Newton Iteration Method and Convergence Order Analysis.
ICDSP
Chunni Guo, Yuxiang Gao, Chaoyu Xia
2020 J jnl
Robust signal recovery using Bayesian compressed sensing based on Lomax prior.
Signal Image Video Process.
Chaoyu Xia, Yuxiang Gao, L. Li, J. Yu
2019 A conf
PATI: a projection-based augmented table-top interface for robot programming.
IUI
Yuxiang Gao, Chien-Ming Huang
2018 J jnl
MiMatrix: A Massively Distributed Deep Learning Framework on a Petascale High-density Heterogeneous Cluster.
CoRR
Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu, Dongyan Wang
2018 C conf
QuantCloud: A Software with Automated Parallel Python for Quantitative Finance Applications.
QRS
Peng Zhang, Yuxiang Gao, Xiang Shi
2017 — conf
Evaluation of Combining Bootstrap with Multiple Imputation Using R on Knights Landing Platform.
CSCloud
Chuan Zhou, Yuxiang Gao, Waylon Howard
2017 — conf
Family Relationship Inference Using Knights Landing Platform.
CSCloud
Yuxiang Gao, Wei-Min Chen
2017 — conf
Finding the Best Box-Cox Transformation in Big Data with Meta-Model Learning: A Case Study on QCT Developer Cloud.
CSCloud
Yuxiang Gao, Tongling Zhang, Baijian Yang
2014 — conf
Future Enterprise Computing Looking into 2020.
FCC
Yung-Chin Fang, Yuxiang Gao, Cindy Stap