A hierarchical hand motions recognition method based on IMU and sEMG sensors. - Wennan Chang; Lili Dai; Shili Sheng; Jeffrey Too Chuan Tan; Chi Zhu 001; Feng Duan (ROBIO, 2015)

A novel upper limb training system based on UR5 using sEMG and IMU sensors. - Zhenqiang Liu; Wennan Chang; Shili Sheng; Liang Li; Yew Guan Soo; Che Fai Yeong; Masato Odagaki; Feng Duan (ROBIO, 2016)

Automatic motion tracking and data analysis system for a rat. - Zhiwen Zhang 004; Jingtao Guan; Wennan Chang; Wenjuan Wang; Mingwei Sun; Masato Odagaki; Tianming Liu 001; Feng Duan (ROBIO, 2016)

sEMG-Based Identification of Hand Motion Commands Using Wavelet Neural Network Combined With Discrete Wavelet Transform. - Feng Duan; Lili Dai; Wennan Chang; Zengqiang Chen 001; Chi Zhu 001; Wei Li 006 (IEEE Trans. Ind. Electron., 2016)

Design of an SSVEP-based BCI system with visual servo module for a service robot to execute multiple tasks. - Shili Sheng; Peipei Song; Lingyue Xie; Zhendong Luo; Wennan Chang; Shurui Jiang; Haoyong Yu; Chi Zhu 001; Jeffrey Too Chuan Tan; Feng Duan (ICRA, 2017)

M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data. - Yu Zhang; Changlin Wan; Pengcheng Wang; Wennan Chang; Yan Huo; Jian Chen; Qin Ma 003; Sha Cao; Chi Zhang 021 (BMC Bioinform., 2019)

MEBF: a fast and efficient Boolean matrix factorization method. - Changlin Wan; Wennan Chang; Tong Zhao 002; Mengya Li; Sha Cao; Chi Zhang 021 (CoRR, 2019)

Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation. - Changlin Wan; Wennan Chang; Tong Zhao 002; Mengya Li; Sha Cao; Chi Zhang 021 (AAAI, 2020)

A data denoising approach to optimize functional clustering of single cell RNA-sequencing data. - Changlin Wan; Dongya Jia; Yue Zhao 016; Wennan Chang; Sha Cao; Xiao Wang 012; Chi Zhang 021 (BIBM, 2020)

Denoising Individual Bias for Fairer Binary Submatrix Detection. - Changlin Wan; Wennan Chang; Tong Zhao 002; Sha Cao; Chi Zhang 021 (CIKM, 2020)

Geometric All-way Boolean Tensor Decomposition. - Changlin Wan; Wennan Chang; Tong Zhao 002; Sha Cao; Chi Zhang 021 (NeurIPS, 2020)

A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression. - Wennan Chang; Xinyu Zhou; Yong Zang; Chi Zhang 021; Sha Cao (CoRR, 2020)

Supervised clustering of high dimensional data using regularized mixture modeling. - Wennan Chang; Changlin Wan; Yong Zang; Chi Zhang 021; Sha Cao (CoRR, 2020)

Denoising individual bias for a fairer binary submatrix detection. - Changlin Wan; Wennan Chang; Tong Zhao 002; Yong Zang; Sha Cao; Chi Zhang 021 (CoRR, 2020)

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. - Wennan Chang; Pengdao Dang; Changlin Wan; Xiaoyu Lu; Yue Fang; Tong Zhao 002; Yong Zang; Bo Li; Chi Zhang 021; Sha Cao (ICDM, 2021)

Response to 'Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering', Zhang et al.. - Wennan Chang; Chi Zhang 021; Sha Cao (Briefings Bioinform., 2022)

PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning. - Junyi Zhou; Xiaoyu Lu; Wennan Chang; Changlin Wan; Xiongbin Lu; Chi Zhang 021; Sha Cao (PLoS Comput. Biol., 2022)

Acid-Base Homeostasis and Implications to the Phenotypic Behaviors of Cancer. - Yi Zhou; Wennan Chang; Xiaoyu Lu; Jin Wang 001; Chi Zhang 021; Ying Xu 001 (Genom. Proteom. Bioinform., 2023)

FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data. - Zixuan Zhang; Haiqi Zhu; Pengtao Dang; Jia Wang; Wennan Chang; Xiao Wang 012; Norah Alghamdi; Alex Lu; Yong Zang; Wenzhuo Wu; Yijie Wang; Yu Zhang; et al. (Nucleic Acids Res., 2023)