Sha Cao

39 papers A* 4A 3Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Foundational Multi-Modal Model for Few-Shot Learning.
CoRR
Pengtao Dang, Tingbo Guo, Sha Cao, Chi Zhang
2025 J jnl
Adaptive multiple kernel clustering using low-rank representation.
Pattern Recognit.
Hong-Liang Dai, Lei Wang, Ye-Sen Sun, Muhammad Imran, Fatima Sehar Zaidi, Fei-Tong Lai, Xiao-Ting Lv, Ming-Feng Lian, Zi-Rong Zhang, Sha Cao, Xin-Yi Li
2025 J jnl
MARS: toward more efficient multi-agent collaboration for LLM reasoning.
CoRR
Xiao Wang, Jia Wang, Yijie Wang, Pengtao Dang, Sha Cao, Chi Zhang
2025 J jnl
Physics Informed Constrained Learning of Dynamics from Static Data.
CoRR
Pengtao Dang, Tingbo Guo, Melissa Fishel, Guang Lin, Wenzhuo Wu, Sha Cao, Chi Zhang
2025 J jnl
Predicting the trend of SARS-CoV-2 mutation frequencies using historical data.
Bioinform.
Xinyu Zhou, Yi Yan, Kevin Hu, Haixu Tang, Yijie Wang, Lu Wang, Chi Zhang, Sha Cao
2024 J jnl
Ambiguities in neural-network-based hyperedge prediction.
J. Appl. Comput. Topol.
Changlin Wan, Muhan Zhang, Pengtao Dang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
2024 A conf
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning.
UAI
Xiao Wang, Jia Wang, Tong Zhao, Yijie Wang, Nan Zhang, Yong Zang, Sha Cao, Chi Zhang
2023 J jnl
FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data.
Nucleic Acids Res.
Zixuan Zhang, Haiqi Zhu, Pengtao Dang, Jia Wang, Wennan Chang, Xiao Wang, Norah Alghamdi, Alex Lu, Yong Zang, Wenzhuo Wu, Yijie Wang, Yu Zhang, Sha Cao, Chi Zhang
2023 A* conf
Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation.
KDD
Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang
2022 A conf
Bias aware probabilistic Boolean matrix factorization.
UAI
Changlin Wan, Pengtao Dang, Tong Zhao, Yong Zang, Chi Zhang, Sha Cao
2022 J jnl
PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning.
PLoS Comput. Biol.
Junyi Zhou, Xiaoyu Lu, Wennan Chang, Changlin Wan, Xiongbin Lu, Chi Zhang, Sha Cao
2022 J jnl
Response to 'Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering', Zhang
Briefings Bioinform.
Wennan Chang, Chi Zhang, Sha Cao
2021 J jnl
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.
CoRR
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
2021 J jnl
SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data.
Briefings Bioinform.
Xiaoyu Lu, Szu-Wei Tu, Wennan Chang, Changlin Wan, Jiashi Wang, Yong Zang, Baskar Ramdas, Reuben Kapur, Xiongbin Lu, Sha Cao, Chi Zhang
2021 A* conf
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.
ICDM
Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
2021 J jnl
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.
CoRR
Wennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao
2021 J jnl
Supervised clustering of high-dimensional data using regularized mixture modeling.
Briefings Bioinform.
Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao
2020 J jnl
A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression.
CoRR
Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao
2020 — conf
A data denoising approach to optimize functional clustering of single cell RNA-sequencing data.
BIBM
Changlin Wan, Dongya Jia, Yue Zhao, Wennan Chang, Sha Cao, Xiao Wang, Chi Zhang
2020 A conf
Denoising Individual Bias for Fairer Binary Submatrix Detection.
CIKM
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020 J jnl
Denoising individual bias for a fairer binary submatrix detection.
CoRR
Changlin Wan, Wennan Chang, Tong Zhao, Yong Zang, Sha Cao, Chi Zhang
2020 A* conf
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation.
AAAI
Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
2020 J jnl
Geometric All-Way Boolean Tensor Decomposition.
CoRR
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020 A* conf
Geometric All-way Boolean Tensor Decomposition.
NeurIPS
Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020 J jnl
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.
Bioinform.
Juan Xie, Anjun Ma, Yu Zhang, Bingqiang Liu, Sha Cao, Cankun Wang, Jennifer Xu, Chi Zhang, Qin Ma
2020 J jnl
Supervised clustering of high dimensional data using regularized mixture modeling.
CoRR
Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao
2019 J jnl
M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data.
BMC Bioinform.
Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao, Chi Zhang
2019 J jnl
MEBF: a fast and efficient Boolean matrix factorization method.
CoRR
Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang
2019 J jnl
Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival.
CoRR
Emily E. Diller, Sha Cao, Beth Ey, Robert Lober, Jason G. Parker
2019 J jnl
Robust tests for gene-environment interaction in case-control and case-only designs.
Comput. Stat. Data Anal.
Yong Zang, Wing Kam Fung, Sha Cao, Hon Keung Tony Ng, Chi Zhang
2019 J jnl
Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name.
Genom. Proteom. Bioinform.
Huiyan Sun, Liang Chen, Sha Cao, Yanchun Liang, Ying Xu
2018 — conf
HRI Design Research for Intelligent Household Service Robots: Teler as a Case Study.
HCI (19)
Shujing Zhang, Jingyan Qin, Sha Cao, Jinhua Dou
2018 J jnl
MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network.
Quant. Biol.
Yu Zhang, Sha Cao, Jing Zhao, Burair Alsaihati, Qin Ma, Chi Zhang
2018 — conf
Voice User Interface Interaction Design Research Based on User Mental Model in Autonomous Vehicle.
HCI (3)
Yuemeng Du, Jingyan Qin, Shujing Zhang, Sha Cao, Jinhua Dou
2017 J jnl
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.
J. Bioinform. Comput. Biol.
Tianci Song, Yan Wang, Wei Du, Sha Cao, Yuan Tian, Yanchun Liang
2017 J jnl
Transcription regulation by DNA methylation under stressful conditions in human cancer.
Quant. Biol.
Sha Cao, Yi Zhou, Yue Wu, Tianci Song, Burair Alsaihati, Ying Xu
2016 — conf
User Experience Design for Green IT Products Through Wearable Computing and Quantified Self.
HCI (17)
Jingyan Qin, Sha Cao, Xiaohui Wang
2015 J jnl
Stresses drive a cancer's initiation, progression and metastasis: Critical comments on the book "Cancer Bioinformatics".
J. Bioinform. Comput. Biol.
Chao Liu, Chi Zhang, Jing Su, Dongsheng Zhang, Sha Cao
2014 J jnl
Population dynamics inside cancer biomass driven by repeated hypoxia-reoxygenation cycles.
Quant. Biol.
Chi Zhang, Sha Cao, Ying Xu