Junxiang Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Pairwise Comparison

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Junxiang Chen, Kelong Xu, Xiangdong Kong, Yujie Guo, Chao Ai
Research on High-Precision Control of Hydraulic Excavator Based on Optimal Trajectory Planning. IEEE Access 12 (2024)
Weiwei Hu, Junxiang Chen, Shenying Yang
Two-mobile anchor node-based localization in wireless sensor networks. J. Ambient Intell. Humaniz. Comput. 15 (1) (2024)
Bin Lu, Xiaodong Huang, Junxiang Chen, Rongrong Fu, Guilin Wen
Manifold attention-enhanced multi-domain convolutional network for decoding motor imagery intention. Knowl. Based Syst. 296 (2024)
Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. Medical Image Anal. 92 (2024)
Mengpu Cai, Junxiang Chen, Chengcheng Hua, Guilin Wen, Rongrong Fu
EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image. Inf. Sci. 680 (2024)
Bin Lu, Fuwang Wang, Shiwei Wang, Junxiang Chen, Guilin Wen, Rongrong Fu
Improvement of motor imagery electroencephalogram decoding by iterative weighted Sparse-Group Lasso. Expert Syst. Appl. 238 (Part E) (2024)
Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Mingxing Xu, Junxiang Chen, Jin Li, Xinxin Zhi, Wenrui Dai, Jiayuan Sun, Hongkai Xiong
Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. CoRR (2023)
Junxiang Chen, Pengyu Zhu, Jing Yun, Baixuan Tian, Yalan Yang, Na Liu
Text Readability of Smartphone in Dark Mode: Effects of Font Type, Font Weight and Color. HCI (32) (2023)
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Junfan Jin, Junxiang Chen, Jilin Zhang, Tao Li, Ruixiang Qian, Feng Liu, Li Zhou, Yongjian Ren
Web table data integration based on smart campus scenarios to resolve name disambiguation of scientific research personnel. COMPSAC (2022)
Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich
Extracting Disease-Relevant Features with Adversarial Regularization. BIBM (2021)
Rongrong Fu, Weishuai Li, Junxiang Chen, Mengmeng Han
Recognizing single-trial motor imagery EEG based on interpretable clustering method. Biomed. Signal Process. Control. 63 (2021)
Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
Explanation by Progressive Exaggeration. ICLR (2020)
Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
Generative-Discriminative Complementary Learning. AAAI (2020)
Jia Xue, Junxiang Chen, Chen Chen, ChengDa Zheng, Tingshao Zhu
Machine learning on Big Data from Twitter to understand public reactions to COVID-19. CoRR (2020)
Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, ChengDa Zheng, Tingshao Zhu
Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach. CoRR (2020)
Junxiang Chen, Kayhan Batmanghelich
Weakly Supervised Disentanglement by Pairwise Similarities. AAAI (2020)
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR (2020)
Junxiang Chen, Kayhan Batmanghelich
Weakly Supervised Disentanglement by Pairwise Similarities. CoRR (2019)
Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich
Explanation by Progressive Exaggeration. CoRR (2019)
Junxiang Chen, Kayhan Batmanghelich
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement. CoRR (2019)
Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
Generative-Discriminative Complementary Learning. CoRR (2019)
Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD (2019)
Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy
Crowdclustering with Partition Labels. AISTATS (2018)
James C. Ross, Peter J. Castaldi, Michael H. Cho, Junxiang Chen, Yale Chang, Jennifer G. Dy, Edwin K. Silverman, George R. Washko, Raúl San José Estépar
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. IEEE Trans. Medical Imaging 36 (1) (2017)
Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
Multiple Clustering Views from Multiple Uncertain Experts. ICML (2017)
Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
Clustering from Multiple Uncertain Experts. AISTATS (2017)
Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
Clustering with Domain-Specific Usefulness Scores. SDM (2017)
Junxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy
Interpretable Clustering via Discriminative Rectangle Mixture Model. ICDM (2016)
Junxiang Chen, Jennifer G. Dy
A Generative Block-Diagonal Model for Clustering. UAI (2016)
Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. SDM (2015)