Consistent and Specific Multi-View Subspace Clustering. - Shirui Luo; Changqing Zhang; Wei Zhang 031; Xiaochun Cao (AAAI, 2018)

Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network. - Shirui Luo; Madhu Vellakal; Seid Koric; Volodymyr V. Kindratenko; Jiahuan Cui (ISC Workshops, 2020)

Hands-on with IBM Visual Insights. - Shirui Luo; Volodymyr V. Kindratenko (Comput. Sci. Eng., 2020)

Turbomachinery Blade Surrogate Modeling Using Deep Learning. - Shirui Luo; Jiahuan Cui; Vignesh Sella; Jian Liu; Seid Koric; Volodymyr V. Kindratenko (ISC Workshops, 2021)

Film Cooling Prediction and Optimization Based on Deconvolution Neural Network. - Yaning Wang; Shirui Luo; Wen Wang; Guocheng Tao; Xinshuai Zhang; Jiahuan Cui (ISC Workshops, 2021)

Weakly Supervised Segmentation of Buildings in Digital Elevation Models. - Aiman Soliman; Yifan Chen; Shirui Luo; Rauf Makharov; Volodymyr V. Kindratenko (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiview Subspace Dual Clustering. - Shirui Luo; Xiaochun Cao (IEEE Trans. Neural Networks Learn. Syst., 2022)

DEM_building_Illinois. - Yifan Chen; Aiman Soliman; Volodymyr V. Kindratenko; Shirui Luo; Rauf Makharov (IEEE DataPort, 2022)

YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. - Andy Zhou; Samuel Li; Pranav Sriram; Xiang Li; Jiahua Dong 002; Ansh Sharma; Yuanyi Zhong; Shirui Luo; Volodymyr V. Kindratenko; George Heintz; Christopher M. Zallek; Yu-Xiong Wang (NeurIPS, 2023)

Toward Exascale Computation for Turbomachinery Flows. - Yuhang Fu; Weiqi Shen; Jiahuan Cui; Yao Zheng 003; Guangwen Yang; Zhao Liu; Jifa Zhang; Tingwei Ji; Fangfang Xie; Xiaojing Lv; Hanyue Liu; Xu Liu; et al. (SC, 2023)

Towards Exascale Computation for Turbomachinery Flows. - Yuhang Fu; Weiqi Shen; Jiahuan Cui; Yao Zheng; Guangwen Yang; Zhao Liu; Jifa Zhang; Tingwei Ji; Fangfang Xie; Xiaojing Lv; Hanyue Liu; Xu Liu; et al. (CoRR, 2023)

Critical Minerals Map Feature Extraction Using Deep Learning. - Shirui Luo; Aaron Saxton; Albert Bode; Priyam Mazumdar; Volodymyr V. Kindratenko (IEEE Geosci. Remote. Sens. Lett., 2023)

Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation. - Xiyue Zhu; Dou Hoon Kwark; Ruike Zhu; Kaiwen Hong; Yiqi Tao; Shirui Luo; Yudu Li; Zhi-Pei Liang; Volodymyr V. Kindratenko (CoRR, 2025)

Hierarchical Diffusion Framework for Pseudo-Healthy Brain MRI Inpainting with Enhanced 3D Consistency. - Dou Hoon Kwark; Shirui Luo; Xiyue Zhu; Yudu Li; Zhi-Pei Liang; Volodymyr V. Kindratenko (CoRR, 2025)