Study of feature extraction based visual invariance and species identification of weed seeds. - Wencang Zhao; Junxin Wang (ICNC, 2010)

A multi-step Smith-inner-outer iteration algorithm for solving coupled continuous Markovian jump Lyapunov matrix equations. - Zhaolu Tian; Junxin Wang; Yinghui Dong; Zhongyun Liu (J. Frankl. Inst., 2020)

Several relaxed iteration methods for computing PageRank. - Zhaolu Tian; Yan Zhang; Junxin Wang; Chuanqing Gu (J. Comput. Appl. Math., 2021)

Recognition of Transformer High Frequency Partial Discharge Based on Time Domain Feature. - Meng Liu; Ying Lin; Qingdong Zhu; Junxin Wang; Yi Yang; Chao Gu; Wenbing Zhu; Wenjie Zheng; Demeng Bai; Jiafeng Qin; Jian Wang; Fengda Zhang; et al. (ICACT, 2022)

An explainable deep learning framework for characterizing and interpreting human brain states. - Shu Zhang 006; Junxin Wang; Sigang Yu; Ruoyang Wang; Junwei Han 001; Shijie Zhao 001; Tianming Liu 001; Jinglei Lv (Medical Image Anal., 2023)

A two-layer consortium blockchain with transaction privacy protection based on sharding technology. - Junxin Wang; Shangping Wang; Qian Zhang 029; Yinjuan Deng (J. Inf. Secur. Appl., 2023)

VAE-Driven Multimodal Fusion for Early Cardiac Disease Detection. - Junxin Wang; Juanen Li; Rui Wang; Xinqi Zhou (IEEE Access, 2024)

Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization. - Weiqiao Shan; Long Meng; Tong Zheng; Yingfeng Luo; Bei Li; Junxin Wang; Tong Xiao; Jingbo Zhu (CoRR, 2024)

Enhanced Dual-Channel Model-Based with Improved Unet++ Network for Landslide Monitoring and Region Extraction in Remote Sensing Images. - Junxin Wang; Qintong Zhang; Hao Xie; Yingying Chen; Rui Sun 003 (Remote. Sens., 2024)

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. - Yongyu Mu; Hengyu Li; Junxin Wang; Xiaoxuan Zhou; Chenglong Wang 002; Yingfeng Luo; Qiaozhi He; Tong Xiao; Guocheng Chen; Jingbo Zhu (ICASSP, 2025)

An efficient and distribution-free symmetry test for high-dimensional data based on energy statistics and random projections. - Bo Chen; Feifei Chen; Junxin Wang; Tao Qiu (Comput. Stat. Data Anal., 2025)

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics. - Yaoming Zhu; Junxin Wang; Yiyang Li; Lin Qiu; ZongYu Wang; Jun Xu; Xuezhi Cao; Yuhuai Wei; Mingshi Wang; Xunliang Cai; Rong Ma (CoRR, 2025)

One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging. - Yingfeng Luo; Dingyang Lin; Junxin Wang; Ziqiang Xu; Kaiyan Chang; Tong Zheng; Bei Li; Anxiang Ma; Tong Xiao; Zhengtao Yu 001; Jingbo Zhu (CoRR, 2025)