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2020 – today
- 2024
[j16]Dianneke van Wijk
, Xiangzhen Kong, Harmen Knap, Annette B. G. Janssen:
A serious game approach for lake modeling and management: The EscapeBLOOM. Environ. Model. Softw. 173: 105941 (2024)- 2023
- [j15]Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu:
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. 24(1): 13 (2023) - [j14]Lin-Ping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang:
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. 104: 107862 (2023) - [j13]Guoqin Peng, Kunyuan Zhao, Hao Zhang, Dan Xu, Xiangzhen Kong:
Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis. Comput. Biol. Medicine 154: 106537 (2023) - [j12]Xiangzhen Kong, Vasanth Ravikumar, Siva K. Mulpuru, Henri Roukoz, Elena G. Tolkacheva:
A Data-Driven Preprocessing Framework for Atrial Fibrillation Intracardiac Electrocardiogram Analysis. Entropy 25(2): 332 (2023) - [j11]Hui Li, Xiaoguo Liang, Hao Yin, Lingwei Xu, Xiangzhen Kong, T. Aaron Gulliver:
Multiobject Tracking via Discriminative Embeddings for the Internet of Things. IEEE Internet Things J. 10(12): 10532-10546 (2023) - [c24]Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li:
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM 2023: 3241-3248 - 2022
- [j10]Han Lai, Xiangzhen Kong, Yajun Zhao, Nanfang Pan, Xun Zhang, Min He, Song Wang, Qiyong Gong:
Patterns of a structural covariance network associated with dispositional optimism during late adolescence. NeuroImage 251: 119009 (2022) - [j9]Wei Kong, Yun Liu, Hui Li, Chuanxu Wang, Ye Tao, Xiangzhen Kong:
GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network. Pattern Recognit. Lett. 160: 90-97 (2022) - [c23]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - 2021
- [j8]Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu:
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. 31(5): 2150006:1-2150006:15 (2021) - [j7]Ya-li Zhu, Xiao-ning Zhang, Chuan-Yuan Wang, Jin-Xing Liu, Xiangzhen Kong:
Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis. Quant. Biol. 9(4): 451-462 (2021) - 2020
- [c22]Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong:
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM 2020: 1503-1509 - [c21]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CVPR Workshops 2020: 2029-2044 - [c20]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [i3]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CoRR abs/2005.03457 (2020) - [i2]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020)
2010 – 2019
- 2019
- [c19]Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops 2019: 3565-3574 - [i1]Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR abs/1911.01249 (2019) - 2018
- [j6]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, Jennifer Skerratt, Stacey M. Trevathan-Tackett, Karen A. Wild-Allen, Xiangzhen Kong, Andy Steven:
Towards evidence-based parameter values and priors for aquatic ecosystem modelling. Environ. Model. Softw. 100: 74-81 (2018) - [c18]Xiangzhen Kong, Mijael R. Bueno Pérez, Ingrid M. L. C. Vogels, Dragan Sekulovski, Ingrid Heynderickx:
Modelling Contrast Sensitivity for Chromatic Temporal Modulations. CIC 2018: 324-329 - 2017
- [c17]Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng:
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM 2017: 1741-1745 - [c16]Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang:
A convex multi-view low-rank sparse regression for feature selection and clustering. BIBM 2017: 2183-2186 - 2016
- [c15]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Yao Lu:
A p-norm singular value decomposition method for robust tumor clustering. BIBM 2016: 600-605 - [c14]Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang:
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM 2016: 1822-1827 - [c13]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Hou Zheng, Yong Du:
Differentially expressed genes selection via Truncated Nuclear Norm Regularization. BIBM 2016: 1851-1855 - [c12]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang:
Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) 2016: 285-293 - 2014
- [j5]Jiwei Huang, Chuang Lin, Xiangzhen Kong, Bing Wei, Xuemin Shen:
Modeling and Analysis of Dependability Attributes for Services Computing Systems. IEEE Trans. Serv. Comput. 7(4): 599-613 (2014) - 2013
- [c11]Ying Chen, Peng Zhang, Xiangzhen Kong, Chuang Lin:
Reliability-Aware Energy Efficiency in Web Service Provision and Placement. ICWS 2013: 411-418 - 2012
- [j4]Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong:
Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters. Adv. Multim. 2012: 343724:1-343724:14 (2012) - 2011
- [j3]Xiangzhen Kong, Chuang Lin, Yixin Jiang, Wei Yan, Xiaowen Chu:
Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction. J. Netw. Comput. Appl. 34(4): 1068-1077 (2011) - [c10]Jiwei Huang, Chuang Lin, Xiangzhen Kong, Yemei Zhu:
Modeling and Analysis of Dependability Attributes of Service Computing Systems. IEEE SCC 2011: 184-191 - [c9]Bing Wei, Chuang Lin, Xiangzhen Kong:
Dependability Modeling and Analysis for the Virtual Data Center of Cloud Computing. HPCC 2011: 784-789
2000 – 2009
- 2009
- [j2]Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong:
Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. IEEE Trans. Inf. Technol. Biomed. 13(4): 599-607 (2009) - [c8]Xu Zhang, Chuang Lin, Xiangzhen Kong:
Model-Driven Dependability Analysis of Virtualization Systems. ACIS-ICIS 2009: 199-204 - [c7]Peter D. Ungsunan, Chuang Lin, Yi Gai, Xiangzhen Kong:
Improving Multi-Core System Dependability with Asymmetrically Reliable Cores. CISIS 2009: 1252-1257 - [c6]Xiangzhen Kong, Jiwei Huang, Chuang Lin:
Comprehensive Analysis of Performance, Fault-Tolerance and Scalability in Grid Resource Management System. GCC 2009: 83-90 - [c5]Mingzhong Xiao, Xiangzhen Kong, Junfei Liu, Ju Ning:
TMBF: Bloom filter algorithms of time-dependent multi bit-strings for incremental set. ICUMT 2009: 1-4 - [c4]Xiangzhen Kong, Jiwei Huang, Chuang Lin, Peter D. Ungsunan:
Performance, Fault-Tolerance and Scalability Analysis of Virtual Infrastructure Management System. ISPA 2009: 282-289 - 2008
- [j1]Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao:
Gene Expression Data Classification Using Consensus Independent Component Analysis. Genom. Proteom. Bioinform. 6(2): 74-82 (2008) - [c3]Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Yutian Wang:
Improving Tumor Clustering Based on Gene Selection. ICIC (1) 2008: 39-46 - 2007
- [c2]Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Li Shang:
Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint. ICIC (1) 2007: 792-802 - [c1]Yan Chen, Jun Tian, Xiangzhen Kong:
Automated Promotion Machine: Emerging IS for the Retail Industry in China. CONFENIS (2) 2007: 1261-1270
Coauthor Index
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last updated on 2024-10-18 19:29 CEST by the dblp team
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