Long-Gang Pang

According to our database, Long-Gang Pang authored at least 7 papers between 2016 and 2025.

Collaborative distances:

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

2025

Phase-space entropy at acquisition reflects downstream learnability.

Xiu-Cheng Wang, Jun-Jie Zhanga, Nan Cheng, Long-Gang Pang, Taijiao Du, Deyu Meng

CoRR, December, 2025

2024

Is AI Robust Enough for Scientific Research?

Jun-Jie Zhang, Jiahao Song, Xiu-Cheng Wang, Fu-Peng Li, Zehan Liu, Jian-Nan Chen, Haoning Dang, Shiyao Wang, Yiyan Zhang, Jianhui Xu, Chunxiang Shi, Fei Wang, Long-Gang Pang, Nan Cheng, Weiwei Zhang, Duo Zhang, Deyu Meng

CoRR, 2024

Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion.

Jun-Jie Zhang, Nan Cheng, Fu-Peng Li, Xiu-Cheng Wang, Jian-Nan Chen, Long-Gang Pang, Deyu Meng

CoRR, 2024

2022

On the uncertainty principle of neural networks.

Jun-Jie Zhang, Dong-Xiao Zhang, Jian-Nan Chen, Long-Gang Pang

CoRR, 2022

2021

Artificial Intelligence and Machine Learning in Nuclear Physics.

Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan W. P. Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler

CoRR, 2021

2020

ZMCintegral: A package for multi-dimensional Monte Carlo integration on multi-GPUs.

Hong-Zhong Wu, Jun-Jie Zhang, Long-Gang Pang, Qun Wang

Comput. Phys. Commun., 2020

2016

An EoS-meter of QCD transition from deep learning.

Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker, Xin-Nian Wang

CoRR, 2016