Zhuoran Qiao

According to our database, Zhuoran Qiao authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Multi-Agent Off-World Exploration for Sparse Evidence Discovery via Gaussian Belief Mapping and Dual-Domain Coverage.

Zhuoran Qiao, Tianxin Hu, Thien-Minh Nguyen, Shenghai Yuan

CoRR, March, 2026

2024

State-specific protein-ligand complex structure prediction with a multiscale deep generative model.

Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Animashree Anandkumar

Nat. Mac. Intell., 2024

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models.

Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus, Mia A. Rosenfeld, Xiaotian Han, Owen Howell, Aniketh Iyengar, Stephen Opalenski, Anders S. Christensen, Sai K. Sirumalla, Frederick R. Manby, Thomas F. Miller III, Matthew Welborn

CoRR, 2024

2023

Multi-modal molecule structure-text model for text-based retrieval and editing.

Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar

Nat. Mac. Intell., December, 2023

NeuralPLexer evaluation datasets and predictions.

Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Animashree Anandkumar

Dataset, December, 2023

NeuralPLexer evaluation datasets and predictions.

Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Animashree Anandkumar

Dataset, May, 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia A. 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

Int. J. High Perform. Comput. Appl., 2023

Retrieval-based Controllable Molecule Generation.

Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models.

Zhuoran Qiao, Weili Nie, Arash Vahdat, Thomas F. Miller III, Anima Anandkumar

CoRR, 2022

Comparison of Neural Network Models for Facial Recognition with Wearing Masks.

Dekang Cao, Zhuoran Qiao, Muhan Yang

Proceedings of the CAIBDA 2022, 2022

2021

UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry.

Zhuoran Qiao, Anders S. Christensen, Frederick R. Manby, Matthew Welborn, Anima Anandkumar, Thomas F. Miller III

CoRR, 2021

2020

Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces.

Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Daniel G. A. Smith, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III

CoRR, 2020

OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features.

Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III

CoRR, 2020