Junze Liu

According to our database, Junze Liu authored at least 12 papers between 2017 and 2025.

Collaborative distances:

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

2025

Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning.

Yimeng Zhang, Tian Wang, Jiri Gesi, Ziyi Wang, Yuxuan Lu, Jiacheng Lin, Sinong Zhan, Vianne Gao, Ruochen Jiao, Junze Liu, Kun Qian, Yuxin Tang, Ran Xue, Houyu Zhang, Qingjun Cui, Yufan Guo, Dakuo Wang

CoRR, July, 2025

Smooth-Guided Implicit Data Augmentation for Domain Generalization.

Mengzhu Wang, Junze Liu, Ge Luo, Shanshan Wang, Wei Wang, Long Lan, Ye Wang, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., March, 2025

2024

Nuclear Fusion Diamond Polishing Dataset.

Antonios Alexos, Junze Liu, Shashank Galla, Sean Hayes, Kshitij Bhardwaj, Alexander Schwartz, Monika Biener, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mathematically-Grounded Multimodal Attention Network for Breast Cancer Prognosis.

Maotao Guo, Zihang Luo, Junze Liu, Rulin Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Certificateless multi-source elliptic curve ring signcryption for cloud computing.

Huifang Yu, Junze Liu, Zhicang Wang

J. Inf. Secur. Appl., May, 2023

Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data.

Antonios Alexos, Junze Liu, Akash Tiwari, Kshitij Bhardwaj, Sean Hayes, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar

CoRR, 2023

Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation.

Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

CoRR, 2023

2022

Certificateless ring signcryption for multi-source network coding.

Huifang Yu, Junze Liu, Zhicang Wang, Feng Zhao

Comput. Stand. Interfaces, 2022

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations.

Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

CoRR, 2022

2020

Deep-Learning-Based Kinematic Reconstruction for DUNE.

Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi

CoRR, 2020

2019

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.

Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

CoRR, 2019

2017

Optimization of Multi-Functional 1310 nm Spectral-Domain Optical Coherence Tomography (SD-OCT) System and Three-Dimensional Volumetric OCT Image Registration.

Junze Liu

PhD thesis, 2017