Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint. - Xiangzhen Kong; Chun-Hou Zheng 001; Yuqiang Wu; Li Shang (ICIC (1), 2007)

Automated Promotion Machine: Emerging IS for the Retail Industry in China. - Yan Chen 023; Jun Tian; Xiangzhen Kong (CONFENIS (2), 2007)

Improving Tumor Clustering Based on Gene Selection. - Xiangzhen Kong; Chun-Hou Zheng 001; Yuqiang Wu; Yutian Wang (ICIC (1), 2008)

Gene Expression Data Classification Using Consensus Independent Component Analysis. - Chun-Hou Zheng 001; De-Shuang Huang; Xiangzhen Kong; Xing-Ming Zhao (Genom. Proteom. Bioinform., 2008)

Model-Driven Dependability Analysis of Virtualization Systems. - Xu Zhang 016; Chuang Lin 002; Xiangzhen Kong (ACIS-ICIS, 2009)

Improving Multi-Core System Dependability with Asymmetrically Reliable Cores. - Peter D. Ungsunan; Chuang Lin 002; Yi Gai; Xiangzhen Kong (CISIS, 2009)

Comprehensive Analysis of Performance, Fault-Tolerance and Scalability in Grid Resource Management System. - Xiangzhen Kong; Jiwei Huang; Chuang Lin 002 (GCC, 2009)

TMBF: Bloom filter algorithms of time-dependent multi bit-strings for incremental set. - Mingzhong Xiao; Xiangzhen Kong; Junfei Liu; Ju Ning (ICUMT, 2009)

Performance, Fault-Tolerance and Scalability Analysis of Virtual Infrastructure Management System. - Xiangzhen Kong; Jiwei Huang; Chuang Lin 002; Peter D. Ungsunan (ISPA, 2009)

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. - Chun-Hou Zheng 001; De-Shuang Huang; Lei Zhang 006; Xiangzhen Kong (IEEE Trans. Inf. Technol. Biomed., 2009)

Modeling and Analysis of Dependability Attributes of Service Computing Systems. - Jiwei Huang; Chuang Lin 002; Xiangzhen Kong; Yemei Zhu (IEEE SCC, 2011)

Dependability Modeling and Analysis for the Virtual Data Center of Cloud Computing. - Bing Wei; Chuang Lin 002; Xiangzhen Kong (HPCC, 2011)

Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction. - Xiangzhen Kong; Chuang Lin 002; Yixin Jiang; Wei Yan; Xiaowen Chu 001 (J. Netw. Comput. Appl., 2011)

Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters. - Hui Li 010; Shengwu Xiong 001; Pengfei Duan; Xiangzhen Kong (Adv. Multim., 2012)

Reliability-Aware Energy Efficiency in Web Service Provision and Placement. - Ying Chen 010; Peng Zhang 011; Xiangzhen Kong; Chuang Lin 002 (ICWS, 2013)

Modeling and Analysis of Dependability Attributes for Services Computing Systems. - Jiwei Huang; Chuang Lin 002; Xiangzhen Kong; Bing Wei; Xuemin Shen (IEEE Trans. Serv. Comput., 2014)

A p-norm singular value decomposition method for robust tumor clustering. - Xiangzhen Kong; Jin-Xing Liu 001; Chun-Hou Zheng 001; Mi-Xiao Hou; Yao Lu 008 (BIBM, 2016)

Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. - Jin-Xing Liu 001; Xiangzhen Kong; Chun-Hou Zheng 001; Junliang Shang; Wei Zhang (BIBM, 2016)

Differentially expressed genes selection via Truncated Nuclear Norm Regularization. - Yaxuan Wang; Jin-Xing Liu 001; Ying-Lian Gao; Xiangzhen Kong; Chun-Hou Zheng 001; Yong Du (BIBM, 2016)

Gene Extraction Based on Sparse Singular Value Decomposition. - Xiangzhen Kong; Jin-Xing Liu 001; Chun-Hou Zheng 001; Junliang Shang (ICIC (1), 2016)

A convex multi-view low-rank sparse regression for feature selection and clustering. - Yao Lu 008; Jin-Xing Liu 001; Xiangzhen Kong; Junliang Shang (BIBM, 2017)

Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. - Ming-Juan Wu; Jin-Xing Liu 001; Ying-Lian Gao; Xiangzhen Kong; Chun-Mei Feng 001 (BIBM, 2017)

Modelling Contrast Sensitivity for Chromatic Temporal Modulations. - Xiangzhen Kong; Mijael R. Bueno Pérez; Ingrid M. L. C. Vogels; Dragan Sekulovski; Ingrid Heynderickx (CIC, 2018)

Towards evidence-based parameter values and priors for aquatic ecosystem modelling. - Barbara J. Robson; George B. Arhonditsis; Mark E. Baird; Jerome Brebion; Kyle F. Edwards; Leonie Geoffroy; Marie-Pier Hébert; Virginie van Dongen-Vogels; Emlyn M. Jones; Carla Kruk; Mathieu Mongin; Yuko Shimoda; et al. (Environ. Model. Softw., 2018)

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. - Kai Zhang 008; Nan Nan; Chenghua Li; Xueyi Zou; Ning Kang 007; Zhan Wang 003; Hang Xu 004; Chaofeng Wang; Zheng Li; Linlin Wang; Jun Shi 004; Shuhang Gu; et al. (ICCV Workshops, 2019)

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. - Shasha Yuan; Jin-Xing Liu 001; Junliang Shang; Fangzhou Xu; Lingyun Dai; Xiangzhen Kong (BIBM, 2020)

NTIRE 2020 Challenge on NonHomogeneous Dehazing. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Jing Liu 031; Haiyan Wu; Yuan Xie 006; Yanyun Qu; Lizhuang Ma; Ziling Huang; Qili Deng; Ju-Chin Chao; et al. (CVPR Workshops, 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. - Delu Ma; Shasha Yuan; Junliang Shang; Jin-Xing Liu 001; Lingyun Dai; Xiangzhen Kong; Fangzhou Xu (Int. J. Neural Syst., 2021)

Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis. - Ya-li Zhu; Xiao-ning Zhang; Chuan-Yuan Wang; Jin-Xing Liu 001; Xiangzhen Kong (Quant. Biol., 2021)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

Patterns of a structural covariance network associated with dispositional optimism during late adolescence. - Han Lai; Xiangzhen Kong; Yajun Zhao; Nanfang Pan; Xun Zhang; Min He; Song Wang 018; Qiyong Gong (NeuroImage, 2022)

GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network. - Wei Kong; Yun Liu 007; Hui Li 010; Chuanxu Wang; Ye Tao 002; Xiangzhen Kong (Pattern Recognit. Lett., 2022)

Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. - Lianlian Zhang; Shaoyi Liu; Qianqian Ren; Junliang Shang; Xiangzhen Kong; Feng Li 033 (BIBM, 2023)

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. - Junliang Shang; Xuhui Zhu; Yan Sun; Feng Li 033; Xiangzhen Kong; Jin-Xing Liu 001 (BMC Bioinform., 2023)

Multiobject Tracking via Discriminative Embeddings for the Internet of Things. - Hui Li 010; Xiaoguo Liang; Hao Yin; Lingwei Xu; Xiangzhen Kong; T. Aaron Gulliver (IEEE Internet Things J., 2023)

A Data-Driven Preprocessing Framework for Atrial Fibrillation Intracardiac Electrocardiogram Analysis. - Xiangzhen Kong; Vasanth Ravikumar; Siva K. Mulpuru; Henri Roukoz; Elena G. Tolkacheva (Entropy, 2023)

Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis. - Guoqin Peng; Kunyuan Zhao; Hao Zhang 110; Dan Xu 001; Xiangzhen Kong (Comput. Biol. Medicine, 2023)

KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. - Lin-Ping Wang; Jin-Xing Liu 001; Junliang Shang; Xiangzhen Kong; Boxin Guan; Juan Wang 003 (Comput. Biol. Chem., 2023)

Discrimination between RA and LA Sinus Rhythms using machine learning approach. - Yuxuan Du; Jason A. Tri; Christopher V. DeSimone; Xiangzhen Kong; Elena G. Tolkacheva (EMBC, 2024)

Use of Optical Mapping to assess the level of maturation of Engineered Heart Tissues. - Sanaz Hosseini; Xiangzhen Kong; Sophie E. Givens; Brenda M. Ogle; Elena G. Tolkacheva (EMBC, 2024)

A serious game approach for lake modeling and management: The EscapeBLOOM. - Dianneke van Wijk; Xiangzhen Kong; Harmen Knap; Annette B. G. Janssen (Environ. Model. Softw., 2024)