PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection. - Zhenshen Qu; Jianxiong Shen; Ruikun Li 005; Junyu Liu; Qiuyu Guan (CSAI/ICIMT, 2018)

Prediction stability as a criterion in active learning. - Junyu Liu; Xiang Li; Jin Wang; Jiqiang Zhou; Jianxiong Shen (CoRR, 2019)

Prediction Stability as a Criterion in Active Learning. - Junyu Liu; Xiang Li; Jiqiang Zhou; Jianxiong Shen (ICANN (2), 2020)

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations. - Jianxiong Shen; Adria Ruiz; Antonio Agudo; Francesc Moreno-Noguer (3DV, 2021)

Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance. - Dan Huang; Xiansong Wang; Yingzhi Liu; Ziheng Huang; Xiaoxu Hu; Wei Hu; Qing Li; Hung Chan; Yidan Zou; Idy H. T. Ho; Yan Wang; Alfred S. L. Cheng; et al. (Briefings Bioinform., 2021)

Bioinformatic analysis of SMN1-ACE/ACE2 interactions hinted at a potential protective effect of spinal muscular atrophy against COVID-19-induced lung injury. - Zheng Li; Xingye Li; Jianxiong Shen; Haining Tan; Tianhua Rong; Youxi Lin; Erwei Feng; Zhengguang Chen; Yang Jiao; Gang Liu; Lin Zhang 015; Matthew Tak Vai Chan; et al. (Briefings Bioinform., 2021)

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification. - Jianxiong Shen; Antonio Agudo; Francesc Moreno-Noguer; Adria Ruiz (ECCV (3), 2022)

Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields. - Jianxiong Shen; Ruijie Ren; Adria Ruiz; Francesc Moreno-Noguer (ICRA, 2024)

LOD-GS: Achieving Levels of Detail using Scalable Gaussian Soup. - Jianxiong Shen; Yue Qian; Xiaohang Zhan (CVPR, 2025)