Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi. - Alex Morehead; Lauren Ogden; Gabe Magee; Ryan Hosler; Bruce White; George O. Mohler (IEEE BigData, 2019)

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. - Mu Gao; Peik Lund-Andersen; Alex Morehead; Sajid Mahmud; Chen Chen; Xiao Chen; Nabin Giri; Raj S. Roy; Farhan Quadir; T. Chad Effler; Ryan Prout; Subil Abraham; et al. (MLHPC@SC, 2021)

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction. - Alex Morehead; Chen Chen; Ada Sedova; Jianlin Cheng (CoRR, 2021)

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction. - Alex Morehead; Chen Chen; Ada Sedova; Jianlin Cheng (Zenodo, 2021)

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction. - Alex Morehead; Chen Chen; Jianlin Cheng (Zenodo, 2021)

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction. - Alex Morehead; Chen Chen; Jianlin Cheng (Zenodo, 2021)

A Region-Based Deep Learning Approach to Automated Retail Checkout. - Maged Shoman; Armstrong Aboah; Alex Morehead; Ye Duan; Abdulateef Daud; Yaw Adu-Gyamfi (CVPR Workshops, 2022)

Geometric Transformers for Protein Interface Contact Prediction. - Alex Morehead; Chen Chen; Jianlin Cheng (ICLR, 2022)

EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures. - Alex Morehead; Xiao Chen; Tianqi Wu; Jian Liu; Jianlin Cheng (CoRR, 2022)

DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment. - Xiao Chen; Alex Morehead; Jian Liu; Jianlin Cheng (CoRR, 2022)

DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning. - Elham Soltanikazemi; Raj S. Roy; Farhan Quadir; Nabin Giri; Alex Morehead; Jianlin Cheng (CoRR, 2022)

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction. - Alex Morehead; Chen Chen; Jianlin Cheng (Zenodo, 2022)

Replication Data for: Geometric Transformers for Protein Interface Contact Prediction. - Alex Morehead; Chen Chen; Jianlin Cheng (Zenodo, 2022)

Semi-Supervised Graph Learning Meets Dimensionality Reduction. - Alex Morehead; Watchanan Chantapakul; Jianlin Cheng (ICMLA, 2023)

A gated graph transformer for protein complex structure quality assessment and its performance in CASP15. - Xiao Chen; Alex Morehead; Jian Liu; Jianlin Cheng (Bioinform., 2023)

Geometry-Complete Diffusion for 3D Molecule Generation. - Alex Morehead; Jianlin Cheng (CoRR, 2023)

3D-equivariant graph neural networks for protein model quality assessment. - Chen Chen; Xiao Chen; Alex Morehead; Tianqi Wu; Jianlin Cheng (Bioinform., 2023)

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction (Supplementary Data). - Alex Morehead; Chen Chen; Ada Sedova; Jianlin Cheng (Zenodo, 2023)

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction (Supplementary Data). - Alex Morehead; Chen Chen; Ada Sedova; Jianlin Cheng (Zenodo, 2023)

Evaluating Representation Learning on the Protein Structure Universe. - Arian Rokkum Jamasb; Alex Morehead; Chaitanya K. Joshi; Zuobai Zhang; Kieran Didi; Simon V. Mathis; Charles Harris; Jian Tang 005; Jianlin Cheng; Pietro Lio; Tom L. Blundell (ICLR, 2024)

Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion. - Alex Morehead; Jeffrey A. Ruffolo; Aadyot Bhatnagar; Ali Madani (CoRR, 2024)

Deep Learning for Protein-Ligand Docking: Are We There Yet? - Alex Morehead; Nabin Giri; Jian Liu; Jianlin Cheng (CoRR, 2024)

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. - Rishabh Anand; Chaitanya K. Joshi; Alex Morehead; Arian R. Jamasb; Charles Harris; Simon V. Mathis; Kieran Didi; Bryan Hooi; Pietro Liò (CoRR, 2024)

FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction. - Alex Morehead; Jianlin Cheng (CoRR, 2024)

Geometry-complete perceptron networks for 3D molecular graphs. - Alex Morehead; Jianlin Cheng (Bioinform., 2024)

gRNAde: Geometric Deep Learning for 3D RNA inverse design. - Chaitanya K. Joshi; Arian Rokkum Jamasb; Ramón Viñas Torné 001; Charles Harris; Simon V. Mathis; Alex Morehead; Rishabh Anand; Pietro Lio (ICLR, 2025)

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. - Rishabh Anand; Chaitanya K. Joshi; Alex Morehead; Arian Rokkum Jamasb; Charles Harris; Simon V. Mathis; Kieran Didi; Rex Ying; Bryan Hooi; Pietro Lio (Trans. Mach. Learn. Res., 2025)

MegaFold: System-Level Optimizations for Accelerating Protein Structure Prediction Models. - Hoa La; Ahan Gupta; Alex Morehead; Jianlin Cheng; Minjia Zhang (CoRR, 2025)