Statistical Analysis of Computed Energy Landscapes to Understand Dysfunction in Pathogenic Protein Variants. - Wanli Qiao; Tatiana Maximova; Erion Plaku; Amarda Shehu (BCB, 2017)

Reconstructing and mining protein energy landscape to understand disease. - Wanli Qiao; Tatiana Maximova; Xiaowen Fang; Erion Plaku; Amarda Shehu (BIBM, 2017)

Reconstructing and Decomposing Protein Energy Landscapes to Organize Structure Spaces and Reveal Biologically-active States. - Nasrin Akhter; Jing Lei; Wanli Qiao; Amarda Shehu (BIBM, 2018)

An Energy Landscape Treatment of Decoy Selection in Template-Free Protein Structure Prediction. - Nasrin Akhter; Wanli Qiao; Amarda Shehu (Comput., 2018)

Reconstruction and Decomposition of High-Dimensional Landscapes via Unsupervised Learning. - Jing Lei; Nasrin Akhter; Wanli Qiao; Amarda Shehu (KDD, 2020)

Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm. - Wanli Qiao; Amarda Shehu (CoRR, 2021)

Algorithms for ridge estimation with convergence guarantees. - Wanli Qiao; Wolfgang Polonik (CoRR, 2021)

An Asymptotic Equivalence between the Mean-Shift Algorithm and the Cluster Tree. - Ery Arias-Castro; Wanli Qiao (CoRR, 2021)

Dataset for Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm. - Wanli Qiao; Amarda Shehu (IEEE DataPort, 2021)

Embedding Functional Data: Multidimensional Scaling and Manifold Learning. - Ery Arias-Castro; Wanli Qiao (CoRR, 2022)

Moving Up the Cluster Tree with the Gradient Flow. - Ery Arias-Castro; Wanli Qiao (SIAM J. Math. Data Sci., 2023)

Graph Max Shift: A Hill-Climbing Method for Graph Clustering. - Ery Arias-Castro; Elizabeth Coda; Wanli Qiao (CoRR, 2024)

Multimodal Deep Learning for Retinal Disease Diagnosis. - Dongmei Wang; Yuansong Cai; Wanli Qiao; Menglei Liu (ISNN, 2025)

Mean shift-based clustering for misaligned functional data. - Andrew Welbaum; Wanli Qiao (Comput. Stat. Data Anal., 2025)