Chi Zhang

43 papers A* 4A 3C 1Misc 2Journal 30Unranked 3
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
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
PLanTS: Periodicity-aware Latent-state Representation Learning for Multivariate Time Series.
CoRR
Jia Wang, Xiao Wang, 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
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
2024 Misc conf
Semantic Similarities Using Classical Embeddings in Quantum NLP.
QCE
Damir Cavar, Chi Zhang
2023 J jnl
Acid-Base Homeostasis and Implications to the Phenotypic Behaviors of Cancer.
Genom. Proteom. Bioinform.
Yi Zhou, Wennan Chang, Xiaoyu Lu, Jin Wang, Chi Zhang, Ying Xu
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 Misc conf
Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation
ICASSP
Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang
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
IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis.
Bioinform.
Yuzhou Chang, Carter Allen, Changlin Wan, Dongjun Chung, Chi Zhang, Zihai Li, Qin Ma
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 J jnl
Corrections to "IsoTree: A New Framework for de novo Transcriptome Assembly from RNA-seq Reads".
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin Zhao, Haodi Feng, Daming Zhu, Chi Zhang, Ying Xu
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
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq.
Nucleic Acids Res.
Anjun Ma, Cankun Wang, Yuzhou Chang, Faith H. Brennan, Adam McDermaid, Bingqiang Liu, Chi Zhang, Phillip G. Popovich, Qin Ma
2020 J jnl
IsoTree: A New Framework for de novo Transcriptome Assembly from RNA-seq Reads.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin Zhao, Haodi Feng, Daming Zhu, Chi Zhang, Ying Xu
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
DTA-SiST: de novo transcriptome assembly by using simplified suffix trees.
BMC Bioinform.
Jin Zhao, Haodi Feng, Daming Zhu, Chi Zhang, Ying Xu
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
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
2018 — conf
DTAST: A Novel Radical Framework for de Novo Transcriptome Assembly Based on Suffix Trees.
ICIC (1)
Jin Zhao, Haodi Feng, Daming Zhu, Chi Zhang, Ying Xu
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
2017 — conf
IsoTree: De Novo Transcriptome Assembly from RNA-Seq Reads - (Extended Abstract).
ISBRA
Jin Zhao, Haodi Feng, Daming Zhu, Chi Zhang, Ying Xu
2017 J jnl
QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data.
Bioinform.
Yu Zhang, Juan Xie, Jinyu Yang, Anne Fennell, Chi Zhang, Qin Ma
2016 C conf
PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins.
ADMA
Yan Wang, Wei Du, Yanchun Liang, Xin Chen, Chi Zhang, Wei Pang, Ying Xu
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