Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. - Junxiang Chen; Wei Dai; Yizhou Sun; Jennifer G. Dy (SDM, 2015)

Interpretable Clustering via Discriminative Rectangle Mixture Model. - Junxiang Chen; Yale Chang; Brian D. Hobbs; Peter J. Castaldi; Michael H. Cho; Edwin K. Silverman; Jennifer G. Dy (ICDM, 2016)

A Generative Block-Diagonal Model for Clustering. - Junxiang Chen; Jennifer G. Dy (UAI, 2016)

Clustering from Multiple Uncertain Experts. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (AISTATS, 2017)

Multiple Clustering Views from Multiple Uncertain Experts. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (ICML, 2017)

Clustering with Domain-Specific Usefulness Scores. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (SDM, 2017)

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. - 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 (IEEE Trans. Medical Imaging, 2017)

Crowdclustering with Partition Labels. - Junxiang Chen; Yale Chang; Peter J. Castaldi; Michael H. Cho; Brian D. Hobbs; Jennifer G. Dy (AISTATS, 2018)

Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. - Yumin Liu; Junxiang Chen; Auroop R. Ganguly; Jennifer G. Dy (KDD, 2019)

Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement. - Junxiang Chen; Kayhan Batmanghelich (CoRR, 2019)

Weakly Supervised Disentanglement by Pairwise Similarities. - Junxiang Chen; Kayhan Batmanghelich (AAAI, 2020)

Generative-Discriminative Complementary Learning. - Yanwu Xu 003; Mingming Gong; Junxiang Chen; Tongliang Liu; Kun Zhang 001; Kayhan Batmanghelich (AAAI, 2020)

Explanation by Progressive Exaggeration. - Sumedha Singla; Brian Pollack; Junxiang Chen; Kayhan Batmanghelich (ICLR, 2020)

Machine learning on Big Data from Twitter to understand public reactions to COVID-19. - Jia Xue; Junxiang Chen; Chen Chen; ChengDa Zheng; Tingshao Zhu (CoRR, 2020)

Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach. - Jia Xue; Junxiang Chen; Ran Hu; Chen Chen; ChengDa Zheng; Tingshao Zhu (CoRR, 2020)

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. - Li Sun 010; Junxiang Chen; Yanwu Xu 003; Mingming Gong; Ke Yu; Kayhan Batmanghelich (CoRR, 2020)

Extracting Disease-Relevant Features with Adversarial Regularization. - Junxiang Chen; Li Sun 010; Ke Yu; Kayhan Batmanghelich (BIBM, 2021)

Recognizing single-trial motor imagery EEG based on interpretable clustering method. - Rongrong Fu; Weishuai Li; Junxiang Chen; Mengmeng Han (Biomed. Signal Process. Control., 2021)

Web table data integration based on smart campus scenarios to resolve name disambiguation of scientific research personnel. - Junfan Jin; Junxiang Chen; Jilin Zhang; Tao Li 022; Ruixiang Qian; Feng Liu; Li Zhou 008; Yongjian Ren (COMPSAC, 2022)

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. - Li Sun 010; Junxiang Chen; Yanwu Xu 003; Mingming Gong; Ke Yu; Kayhan Batmanghelich (IEEE J. Biomed. Health Informatics, 2022)

Text Readability of Smartphone in Dark Mode: Effects of Font Type, Font Weight and Color. - Junxiang Chen; Pengyu Zhu; Jing Yun; Baixuan Tian; Yalan Yang; Na Liu (HCI (32), 2023)

DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. - Ke Yu; Li Sun 010; Junxiang Chen; Maxwell Reynolds; Tigmanshu Chaudhary; Kayhan Batmanghelich (CoRR, 2023)

Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos. - Mingxing Xu; Junxiang Chen; Jin Li; Xinxin Zhi; Wenrui Dai; Jiayuan Sun; Hongkai Xiong (IEEE J. Biomed. Health Informatics, 2023)

Transforming Complex Problems Into K-Means Solutions. - Hongfu Liu 001; Junxiang Chen; Jennifer G. Dy; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Research on High-Precision Control of Hydraulic Excavator Based on Optimal Trajectory Planning. - Junxiang Chen; Kelong Xu; Xiangdong Kong; Yujie Guo; Chao Ai (IEEE Access, 2024)

EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image. - Mengpu Cai; Junxiang Chen; Chengcheng Hua; Guilin Wen; Rongrong Fu (Inf. Sci., 2024)

Manifold attention-enhanced multi-domain convolutional network for decoding motor imagery intention. - Bin Lu; Xiaodong Huang; Junxiang Chen; Rongrong Fu; Guilin Wen (Knowl. Based Syst., 2024)

Two-mobile anchor node-based localization in wireless sensor networks. - Weiwei Hu; Junxiang Chen; Shenying Yang (J. Ambient Intell. Humaniz. Comput., 2024)

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. - Ke Yu; Li Sun 010; Junxiang Chen; Maxwell Reynolds; Tigmanshu Chaudhary; Kayhan Batmanghelich (Medical Image Anal., 2024)

Improvement of motor imagery electroencephalogram decoding by iterative weighted Sparse-Group Lasso. - Bin Lu; Fuwang Wang; Shiwei Wang; Junxiang Chen; Guilin Wen; Rongrong Fu (Expert Syst. Appl., 2024)

Pre-movement pattern decoding from motor evoked potentials for reducing interaction delay. - Rongrong Fu; Fangyao Xu; Haifeng Liang; Yang Liu; Shiwei Wang; Yaodong Wang; Junxiang Chen (Biomed. Signal Process. Control., 2025)

A convolutional transformer network with adaptation learning modules for enhancing motor imagery classification. - Rongrong Fu; Linmeng Shen; Bin Lu; Mengpu Cai; Guilin Wen; Junxiang Chen; Chengcheng Hua (Expert Syst. Appl., 2025)

Improving two-dimensional linear discriminant analysis with L1 norm for optimizing EEG signal. - Bin Lu; Fuwang Wang; Junxiang Chen; Guilin Wen; Rongrong Fu (Inf. Sci., 2025)

Expertized Caption Auto-Enhancement for Video-Text Retrieval. - Junxiang Chen; Baoyao Yang; Wenbin Yao (CoRR, 2025)

Dynamic Hierarchical Convolutional Attention Network for Recognizing Motor Imagery Intention. - Bin Lu; Fuwang Wang; Junxiang Chen; Guilin Wen; Changchun Hua; Rongrong Fu (IEEE Trans. Cybern., 2025)

VideoMind: An Omni-Modal Video Dataset with Intent Grounding for Deep-Cognitive Video Understanding. - Baoyao Yang; Wanyun Li; Dixin Chen; Junxiang Chen; Wenbin Yao; Haifeng Lin (CoRR, 2025)