Zhantao Chen

According to our database, Zhantao Chen authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Toward Personalized Darts Training: A Data-Driven Framework Based on Skeleton-Based Biomechanical Analysis and Motion Modeling.

Zhantao Chen, Dongyi He, Jin Fang, Xi Chen, Yishuo Liu, Xiaozhen Zhong, Xuejun Hu

CoRR, April, 2026

2025

Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations.

Yuan Ni, Zhantao Chen, Cheng Peng, Rajan Plumley, Chun Hong Yoon, Jana B. Thayer, Joshua J. Turner

CoRR, September, 2025

Physics-guided dual implicit neural representations for source separation.

Yuan Ni, Zhantao Chen, Alexander N. Petsch, Edmund Xu, Cheng Peng, Alexander I. Kolesnikov, Sugata Chowdhury, Arun Bansil, Jana B. Thayer, Joshua J. Turner

Mach. Learn. Sci. Technol., 2025

2023

Bayesian experimental design and parameter estimation for ultrafast spin dynamics.

Zhantao Chen, Cheng Peng, Alexander N. Petsch, Sathya R. Chitturi, Alana Okullo, Sugata Chowdhury, Chun Hong Yoon, Joshua J. Turner

Mach. Learn. Sci. Technol., December, 2023

Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning.

Zhantao Chen, Cong Wang, Mingye Gao, Chun Hong Yoon, Jana B. Thayer, Joshua J. Turner

CoRR, 2023

Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics.

Zhantao Chen, Cheng Peng, Alexander N. Petsch, Sathya R. Chitturi, Alana Okullo, Sugata Chowdhury, Chun Hong Yoon, Joshua J. Turner

CoRR, 2023

Capturing dynamical correlations using implicit neural representations.

Sathya R. Chitturi, Zhurun Ji, Alexander Petsch, Cheng Peng, Zhantao Chen, Rajan Plumley, Mike Dunne, Sougata Mardanya, Sugata Chowdhury, Hongwei Chen, Arun Bansil, Adrian E. Feiguin, Alexander Kolesnikov, Dharmalingam Prabhakaran, Stephen Hayden, Daniel Ratner, Chunjing Jia, Youssef Nashed, Joshua J. Turner

CoRR, 2023