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Zhuoran Qiao
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Journal Articles
- 2024
- [j3]Zhuoran Qiao
, Weili Nie, Arash Vahdat, Thomas F. Miller III
, Animashree Anandkumar
:
State-specific protein-ligand complex structure prediction with a multiscale deep generative model. Nat. Mac. Intell. 6(2): 195-208 (2024) - 2023
- [j2]Abigail C. Dommer, Lorenzo Casalino
, Fiona L. Kearns, Mia Rosenfeld
, Nicholas Wauer, Surl-Hee Ahn
, John Russo
, A. Sofia F. Oliveira
, Clare Morris
, Anthony T. Bogetti, Anda Trifan, Alexander Brace
, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee
, Matteo Turilli
, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao
, Sai K. Sirumalla
, Michael O'Connor, Frederick R. Manby, Anima Anandkumar
, David J. Hardy, James C. Phillips
, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell
, Tom Maiden, Lei Huang, John D. McCalpin
, Christopher J. Woods
, Alan Gray, Matt Williams
, Bryan Barker, Harinda Rajapaksha, Richard Pitts
, Tom Gibbs, John E. Stone
, Daniel M. Zuckerman
, Adrian J. Mulholland
, Thomas F. Miller III, Shantenu Jha
, Arvind Ramanathan
, Lillian T. Chong
, Rommie E. Amaro
:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - [j1]Shengchao Liu
, Weili Nie, Chengpeng Wang
, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar
:
Multi-modal molecule structure-text model for text-based retrieval and editing. Nat. Mac. Intell. 5(12): 1447-1457 (2023)
Conference and Workshop Papers
- 2023
- [c2]Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. ICLR 2023 - 2022
- [c1]Dekang Cao, Zhuoran Qiao, Muhan Yang:
Comparison of Neural Network Models for Facial Recognition with Wearing Masks. CAIBDA 2022: 1-5
Data and Artifacts
- 2023
- [d1]Zhuoran Qiao
, Weili Nie, Arash Vahdat, Thomas F. Miller III
, Animashree Anandkumar
:
NeuralPLexer evaluation datasets and predictions. Zenodo, 2023
Informal and Other Publications
- 2022
- [i6]Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. CoRR abs/2208.11126 (2022) - [i5]Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Anima Anandkumar:
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models. CoRR abs/2209.15171 (2022) - [i4]Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar:
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. CoRR abs/2212.10789 (2022) - 2021
- [i3]Zhuoran Qiao, Anders S. Christensen, Frederick R. Manby, Matthew Welborn, Anima Anandkumar, Thomas F. Miller III:
UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry. CoRR abs/2105.14655 (2021) - 2020
- [i2]Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III:
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features. CoRR abs/2007.08026 (2020) - [i1]Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Daniel G. A. Smith, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III:
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces. CoRR abs/2011.02680 (2020)
Coauthor Index
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