Population dynamics inside cancer biomass driven by repeated hypoxia-reoxygenation cycles. - Chi Zhang 021; Sha Cao; Ying Xu 001 (Quant. Biol., 2014)

Stresses drive a cancer's initiation, progression and metastasis: Critical comments on the book "Cancer Bioinformatics". - Chao Liu; Chi Zhang 021; Jing Su; Dongsheng Zhang; Sha Cao (J. Bioinform. Comput. Biol., 2015)

User Experience Design for Green IT Products Through Wearable Computing and Quantified Self. - Jingyan Qin; Sha Cao; Xiaohui Wang 004 (HCI (17), 2016)

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning. - Tianci Song; Yan Wang 028; Wei Du 002; Sha Cao; Yuan Tian 016; Yanchun Liang 001 (J. Bioinform. Comput. Biol., 2017)

Transcription regulation by DNA methylation under stressful conditions in human cancer. - Sha Cao; Yi Zhou; Yue Wu; Tianci Song; Burair Alsaihati; Ying Xu 001 (Quant. Biol., 2017)

Voice User Interface Interaction Design Research Based on User Mental Model in Autonomous Vehicle. - Yuemeng Du; Jingyan Qin; Shujing Zhang; Sha Cao; Jinhua Dou (HCI (3), 2018)

HRI Design Research for Intelligent Household Service Robots: Teler as a Case Study. - Shujing Zhang; Jingyan Qin; Sha Cao; Jinhua Dou (HCI (19), 2018)

MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network. - Yu Zhang; Sha Cao; Jing Zhao; Burair Alsaihati; Qin Ma 003; Chi Zhang 021 (Quant. Biol., 2018)

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)

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival. - Emily E. Diller; Sha Cao; Beth Ey; Robert Lober; Jason G. Parker (CoRR, 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)

Robust tests for gene-environment interaction in case-control and case-only designs. - Yong Zang; Wing Kam Fung; Sha Cao; Hon Keung Tony Ng; Chi Zhang 021 (Comput. Stat. Data Anal., 2019)

Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name. - Huiyan Sun; Liang Chen 021; Sha Cao; Yanchun Liang 001; Ying Xu 001 (Genom. Proteom. Bioinform., 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)

QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data. - Juan Xie; Anjun Ma; Yu Zhang; Bingqiang Liu; Sha Cao; Cankun Wang; Jennifer Xu; Chi Zhang 021; Qin Ma 003 (Bioinform., 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)

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. - Changlin Wan; Muhan Zhang; Wei Hao; Sha Cao; Pan Li 005; Chi Zhang 021 (CoRR, 2021)

Bias aware probabilistic Boolean matrix factorization. - Changlin Wan; Pengtao Dang; Tong Zhao 002; Yong Zang; Chi Zhang 021; Sha Cao (UAI, 2022)

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)

Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation. - Pengtao Dang; Haiqi Zhu; Tingbo Guo; Changlin Wan; Tong Zhao 002; Paul Salama; Yijie Wang; Sha Cao; Chi Zhang 021 (KDD, 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)

Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning. - Xiao Wang 012; Jia Wang; Tong Zhao 002; Yijie Wang; Nan Zhang; Yong Zang; Sha Cao; Chi Zhang 021 (UAI, 2024)

Ambiguities in neural-network-based hyperedge prediction. - Changlin Wan; Muhan Zhang; Pengtao Dang; Wei Hao; Sha Cao; Pan Li 005; Chi Zhang 021 (J. Appl. Comput. Topol., 2024)

Adaptive multiple kernel clustering using low-rank representation. - Hong-Liang Dai; Lei Wang; Ye-Sen Sun; Muhammad Imran 023; Fatima Sehar Zaidi; Fei-Tong Lai; Xiao-Ting Lv; Ming-Feng Lian; Zi-Rong Zhang; Sha Cao; Xin-Yi Li (Pattern Recognit., 2025)

Physics Informed Constrained Learning of Dynamics from Static Data. - Pengtao Dang; Tingbo Guo; Melissa Fishel; Guang Lin; Wenzhuo Wu; Sha Cao; Chi Zhang 021 (CoRR, 2025)

A Foundational Multi-Modal Model for Few-Shot Learning. - Pengtao Dang; Tingbo Guo; Sha Cao; Chi Zhang 021 (CoRR, 2025)