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Junxiang Chen
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Journal Articles
- 2024
- [j11]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: 79189-79201 (2024) - [j10]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): 122286 (2024) - [j9]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: 121198 (2024) - [j8]Weiwei Hu, Junxiang Chen, Shenying Yang:
Two-mobile anchor node-based localization in wireless sensor networks. J. Ambient Intell. Humaniz. Comput. 15(1): 697-709 (2024) - [j7]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: 111904 (2024) - [j6]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: 103062 (2024) - 2023
- [j5]Hongfu Liu
, Junxiang Chen, Jennifer G. Dy, Yun Fu
:
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9149-9168 (2023) - [j4]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): 29-40 (2023) - 2022
- [j3]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): 3966-3975 (2022) - 2021
- [j2]Rongrong Fu, Weishuai Li, Junxiang Chen
, Mengmeng Han:
Recognizing single-trial motor imagery EEG based on interpretable clustering method. Biomed. Signal Process. Control. 63: 102171 (2021) - 2017
- [j1]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): 343-354 (2017)
Conference and Workshop Papers
- 2023
- [c14]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: 23-33 - 2022
- [c13]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: 602-607 - 2021
- [c12]Junxiang Chen
, Li Sun
, Ke Yu, Kayhan Batmanghelich
:
Extracting Disease-Relevant Features with Adversarial Regularization. BIBM 2021: 3464-3471 - 2020
- [c11]Junxiang Chen
, Kayhan Batmanghelich
:
Weakly Supervised Disentanglement by Pairwise Similarities. AAAI 2020: 3495-3502 - [c10]Yanwu Xu, Mingming Gong, Junxiang Chen
, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. AAAI 2020: 6526-6533 - [c9]Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich:
Explanation by Progressive Exaggeration. ICLR 2020 - 2019
- [c8]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: 2556-2564 - 2018
- [c7]Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy:
Crowdclustering with Partition Labels. AISTATS 2018: 1127-1136 - 2017
- [c6]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Clustering from Multiple Uncertain Experts. AISTATS 2017: 28-36 - [c5]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: 674-683 - [c4]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Clustering with Domain-Specific Usefulness Scores. SDM 2017: 207-215 - 2016
- [c3]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: 823-828 - [c2]Junxiang Chen, Jennifer G. Dy:
A Generative Block-Diagonal Model for Clustering. UAI 2016 - 2015
- [c1]Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy:
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. SDM 2015: 424-432
Informal and Other Publications
- 2023
- [i8]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 abs/2302.10390 (2023) - 2020
- [i7]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 abs/2005.08817 (2020) - [i6]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 abs/2005.12830 (2020) - [i5]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR abs/2008.01910 (2020) - 2019
- [i4]Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. CoRR abs/1904.01612 (2019) - [i3]Junxiang Chen, Kayhan Batmanghelich:
Weakly Supervised Disentanglement by Pairwise Similarities. CoRR abs/1906.01044 (2019) - [i2]Junxiang Chen, Kayhan Batmanghelich:
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement. CoRR abs/1910.05898 (2019) - [i1]Sumedha Singla, Brian Pollack, Junxiang Chen, Kayhan Batmanghelich:
Explanation by Progressive Exaggeration. CoRR abs/1911.00483 (2019)
Coauthor Index
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