Future Enterprise Computing Looking into 2020. - Yung-Chin Fang; Yuxiang Gao; Cindy Stap (FCC, 2014)

Family Relationship Inference Using Knights Landing Platform. - Yuxiang Gao; Wei-Min Chen (CSCloud, 2017)

Finding the Best Box-Cox Transformation in Big Data with Meta-Model Learning: A Case Study on QCT Developer Cloud. - Yuxiang Gao; Tongling Zhang; Baijian Yang 001 (CSCloud, 2017)

Evaluation of Combining Bootstrap with Multiple Imputation Using R on Knights Landing Platform. - Chuan Zhou 005; Yuxiang Gao; Waylon Howard (CSCloud, 2017)

QuantCloud: A Software with Automated Parallel Python for Quantitative Finance Applications. - Peng Zhang; Yuxiang Gao; Xiang Shi (QRS, 2018)

MiMatrix: A Massively Distributed Deep Learning Framework on a Petascale High-density Heterogeneous Cluster. - Xin Chen; Hua Zhou; Yuxiang Gao; Yu Zhu; Dongyan Wang (CoRR, 2018)

PATI: a projection-based augmented table-top interface for robot programming. - Yuxiang Gao; Chien-Ming Huang 001 (IUI, 2019)

Improved Newton Iteration Method and Convergence Order Analysis. - Chunni Guo; Yuxiang Gao; Chaoyu Xia (ICDSP, 2020)

Group-Aware Robot Navigation in Crowded Environments. - Kapil D. Katyal; Yuxiang Gao; Jared Markowitz; I-Jeng Wang; Chien-Ming Huang 001 (CoRR, 2020)

Robust signal recovery using Bayesian compressed sensing based on Lomax prior. - Chaoyu Xia; Yuxiang Gao; L. Li; J. Yu (Signal Image Video Process., 2020)

Block-sparse signal recovery based on orthogonal matching pursuit via stage-wise weak selection. - Chaoyu Xia; Yuxiang Gao; J. Yu; ZH. Yu (Signal Image Video Process., 2020)

Evaluation of Socially-Aware Robot Navigation. - Yuxiang Gao; Chien-Ming Huang 001 (Frontiers Robotics AI, 2021)

Multi-view Classification via Twin Projection Vector Machine with Application to EEG-Based Driving Fatigue Detection. - Xiaobo Chen 001; Yuxiang Gao (DMBD (1), 2022)

Analysis and Verification of Bisimulation Relationship for Learning Time-Behavior Sequence. - Shu Feng; Yi Zhu; Mei Song; Yuxiang Gao (DSA, 2022)

Error Related Potential Classification Using a 2-D Convolutional Neural Network. - Yuxiang Gao; Tangfei Tao; Yaguang Jia (ICIRA (2), 2022)

Learning a Group-Aware Policy for Robot Navigation. - Kapil D. Katyal; Yuxiang Gao; Jared Markowitz; Sara Pohland; Corban G. Rivera; I-Jeng Wang; Chien-Ming Huang 001 (IROS, 2022)

Evaluating the effectiveness of local explanation methods on source code-based defect prediction models. - Yuxiang Gao; Yi Zhu; Qiao Yu (MSR, 2022)

Dealing with imbalanced data for interpretable defect prediction. - Yuxiang Gao; Yi Zhu 013; Yu Zhao (Inf. Softw. Technol., 2022)

Validity Analysis of Software Defect Prediction Model for Mis-label Correction Based on CleanLab. - Ao Xu; Yi Zhu 008; Yuxiang Gao; Qiao Yu; Guosheng Hao (DSA, 2023)

A Finite-Element-Based Cohesive Zone Model of Water-Filled Surface Crevasse Propagation in Floating Ice Tongues. - Yuxiang Gao; Gourab Ghosh; Stephen Jiménez; Ravindra Duddu (Comput. Sci. Eng., 2023)

A Multi-Channel Ensemble Method for Error-Related Potential Classification Using 2D EEG Images. - Tangfei Tao; Yuxiang Gao; Yaguang Jia; Ruiquan Chen; Ping Li; Guanghua Xu (Sensors, 2023)

Typical stochastic resonance models and their applications in steady-state visual evoked potential detection technology. - Ruiquan Chen; Guanghua Xu; Jinju Pei; Yuxiang Gao; Sicong Zhang; Chengcheng Han 001 (Expert Syst. Appl., 2023)

Driving Style Feature Extraction and Recognition Based on Hyperdimensional Computing and Semi-Supervised Twin Projection Vector Machine. - Xiaobo Chen 001; Yuxiang Gao; Haoze Yu; Hai Wang 003; Yingfeng Cai (IEEE Trans. Intell. Transp. Syst., 2023)

Physics informed cell representations for variational formulation of multiscale problems. - Yuxiang Gao; Soheil Kolouri; Ravindra Duddu (CoRR, 2024)

Forging Productive Human-Robot Partnerships Through Task Training. - Maia Stiber; Yuxiang Gao; Russell H. Taylor; Chien-Ming Huang 001 (ACM Trans. Hum. Robot Interact., 2024)

An Empirical Study on Model-Agnostic Techniques for Source Code-Based Defect Prediction. - Yi Zhu 013; Yuxiang Gao; Qiao Yu (Int. J. Softw. Eng. Knowl. Eng., 2024)

Periodic Signal Recovery and Detection from 1-Bit Measurements Using Convolutional Neural Network. - Yinglin Chen; Peng Xiao 005; Yuxiang Gao; Bo Zhao; Jixing Qin (Circuits Syst. Signal Process., 2024)

GTA: Generating high-performance tensorized program with dual-task scheduling. - Anxing Xie; Yonghua Hu; Yaohua Wang; Zhe Li; Yuxiang Gao; Zenghua Cheng (J. Syst. Archit., 2025)