Publications

Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao (2020). Supervised clustering of high dimensional data using regularized mixture modeling. Accepted by Briefings in Bioinformatics IF=8.9.

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Xiaoyu Lu, Szu-Wei Tu, Wennan Chang, Changlin Wan, Jiashi Wang, Yong Zang, Baskar Ramdas, Reuben Kapur, Xiongbin Lu, Sha Cao, Chi Zhang (2020). SSMD- A semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data. Accepted by Briefings in Bioinformatics IF=8.9.

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Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao (2020). A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression. arXiv 2020.

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Wennan Chang, Changlin Wan, Chun Yu, Weixin Yao, Chi Zhang, Sha Cao (2020). RobMixReg-an R package for robust, flexible and high dimensional mixture regression. BioRxiv 2020.

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Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang (2020). Geometric All-Way Boolean Tensor Decomposition. In Neurips 2020.

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Norah Alghamdi^, Wennan Chang^(co-first), Pengtao Dang, Xiaoyu Lu, Changlin Wan, Zhi Huang, Jiashi Wang, Melissa Fishel, Sha Cao, Chi Zhang (2020). scFEA-A graph neural network model to estimate cell-wise metabolic flux using single cell RNA-seq data. Under review at Genome Research.

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Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang (2020). Denoising individual bias for a fairer binary submatrix detection. In CIKM 2020.

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Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang (2020). Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation.. In AAAI 2020.

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Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao, Chi Zhang (2019). M3S - A comprehensive model selection for multi-modal single-cell RNA sequencing data. BMC Bioinformatics. BMC Bioinformatics.

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Changlin Wan, Wennan Chang, Yu Zhang, Fenil Shah, Xiaoyu Lu, Yong Zang, Anru Zhang, Sha Cao, Melissa L Fishel, Qin Ma, Chi Zhang (2019). LTMG-a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data. Accepted by Nucleic Acids Research 2020 IF=11.5.

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Wennan Chang, Changlin Wan, Yifan Sun, Yan Han, Siyuan Qi, Xiongbin Lu, Sha Cao, Chi Zhang (2019). A semi supervised deconvolution method for quantifying the composition and activity of tumor infiltrating cell types.. Cancer Research AACR 2019.

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Wennan Chang, Changlin Wan, Xiaoyu Lu, Szu-wei Tu, Yifan Sun, Xinna Zhang, Yong Zang, Anru Zhang, Kun Huang, Yunlong Liu, Xiongbin Lu, Sha Cao, Chi Zhang (2019). Inference of Cell Types and Deconvolution – a next-generation deconvolution method for accurate assess cell population and activities in tumor microenvironment.. BioRxiv 2019.

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Sha Cao, Wennan Chang, Changlin Wan, Yong Zang, Jing Zhao, Jian Chen, Bo Li, Qin Ma, Chi Zhang (2018). Bi-clustering based biological and clinical characterization of colorectal cancer in complementary to CMS classification.. BioRxiv 2018.

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Wennan Chang, Lili Dai, Shili Sheng, Jeffrey Too Chuan Tan, Chi Zhu, Feng Duan (2015). A hierarchical hand motions recognition method based on IMU and sEMG sensors. In ROBIO 2015.

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Feng Duan, Lili Dai, Wennan Chang, Zengqiang Chen, Chi Zhu, Wei Li (2015). sEMG-based identification of hand motion commands using wavelet neural network combined with discrete wavelet transform. Accepted by IEEE Transactions on Industrial Electronics.

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