Junze Liu - RankMe

12 papers A* 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning. CoRR Yimeng Zhang, Tian Wang, Jiri Gesi, Ziyi Wang, Yuxuan Lu, Jiacheng Lin, Sinong Zhan, Vianne R. Gao, Ruochen Jiao, Junze Liu, Kun Qian, Yuxin Tang, Ran Xue, Houyu Zhang, Qingjun Cui, Yufan Guo, Dakuo Wang
2025	J	`jnl`	Smooth-Guided Implicit Data Augmentation for Domain Generalization. IEEE Trans. Neural Networks Learn. Syst. Mengzhu Wang, Junze Liu, Ge Luo, Shanshan Wang, Wei Wang, Long Lan, Ye Wang, Feiping Nie
2024	—	`conf`	Mathematically-Grounded Multimodal Attention Network for Breast Cancer Prognosis. BIBM Maotao Guo, Zihang Luo, Junze Liu, Rulin Zhou
2024	A*	`conf`	Nuclear Fusion Diamond Polishing Dataset. NeurIPS Antonios Alexos, Junze Liu, Shashank Galla, Sean Hayes, Kshitij Bhardwaj, Alexander Schwartz, Monika Biener, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar
2023	J	`jnl`	Certificateless multi-source elliptic curve ring signcryption for cloud computing. J. Inf. Secur. Appl. Huifang Yu, Junze Liu, Zhicang Wang
2023	J	`jnl`	Generalizing to new calorimeter geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation. CoRR Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson
2023	J	`jnl`	Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data. CoRR Antonios Alexos, Junze Liu, Akash Tiwari, Kshitij Bhardwaj, Sean Hayes, Pierre Baldi, Satish T. S. Bukkapatnam, Suhas Bhandarkar
2022	J	`jnl`	Certificateless ring signcryption for multi-source network coding. Comput. Stand. Interfaces Huifang Yu, Junze Liu, Zhicang Wang, Feng Zhao
2022	J	`jnl`	Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. CoRR Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson
2020	J	`jnl`	Deep-Learning-Based Kinematic Reconstruction for DUNE. CoRR Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi
2019	J	`jnl`	Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR 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
2017	—	`—`	Optimization of Multi-Functional 1310 nm Spectral-Domain Optical Coherence Tomography (SD-OCT) System and Three-Dimensional Volumetric OCT Image Registration. Junze Liu