Wennan Chang

Wennan Chang

PhD Candidate

Purdue University

Biography

I received the B.E. and M.S. degree in College of Computer and Control Engineering from Nankai University in 2014 and 2017, respectively. I am currently a PhD student and a graduate research assistance in the School of Electrical and Computer Engineering, Purdue University. My research interests are broadly at the intersection of algorithms, mathematical modeling and optimization, with a focus on applications in machine learning and cancer genomic data science. In my personal life, I am a practitioner of calligraphy and a fan of different styles of movie.

Interests

  • Machine Learning
  • Computational Biology
  • Bioinformatic

Education

  • PhD in Electrical and Computer Engineering, --

    Purdue University

  • MEng in Control Science and Engineering, 2017

    Nankai University

  • BSc in Automation Engineering, 2014

    Nankai University

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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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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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, 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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Software

ICTD server

R shiny server- Inference of Cell Type and Deconvolution.

RobMixReg

CRAN r package - Robust Mixture Regression.

Course

ECE662 Pattern Recognition and Decision Making Process

Purdue ECE Jan 2020

ECE595 Machine Learning and Adversial Attack

Purdue ECE Jan 2019

ECE 547 Introduction to Computer Communication Networks

Purdue ECE Jan 2019

CS515 Matrix Computation

Purdue CS Jan 2019

STAT517 Statistical Inference

Purdue STAT Jan 2019