Optimization of Multi-Functional 1310 nm Spectral-Domain Optical Coherence Tomography (SD-OCT) System and Three-Dimensional Volumetric OCT Image Registration. - Junze Liu (2017)

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; et al. (CoRR, 2019)

Deep-Learning-Based Kinematic Reconstruction for DUNE. - Junze Liu; Jordan Ott; Julian Collado; Benjamin Jargowsky; Wenjie Wu; Jianming Bian; Pierre Baldi (CoRR, 2020)

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. - Junze Liu; Aishik Ghosh; Dylan Smith; Pierre Baldi; Daniel Whiteson (CoRR, 2022)

Certificateless ring signcryption for multi-source network coding. - Huifang Yu 001; Junze Liu; Zhicang Wang; Feng Zhao (Comput. Stand. Interfaces, 2022)

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)

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)

Certificateless multi-source elliptic curve ring signcryption for cloud computing. - Huifang Yu 001; Junze Liu; Zhicang Wang (J. Inf. Secur. Appl., 2023)

Mathematically-Grounded Multimodal Attention Network for Breast Cancer Prognosis. - Maotao Guo; Zihang Luo; Junze Liu; Rulin Zhou (BIBM, 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 (NeurIPS, 2024)

Smooth-Guided Implicit Data Augmentation for Domain Generalization. - Mengzhu Wang; Junze Liu; Ge Luo 003; Shanshan Wang 008; Wei Wang 335; Long Lan; Ye Wang 023; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 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 003; Jiacheng Lin; Sinong Zhan; Vianne Gao; Ruochen Jiao; Junze Liu; Kun Qian; Yuxin Tang; et al. (CoRR, 2025)