Xiangzhen Kong

62 papers A* 1A 1C 2Misc 1Journal 29Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Panoptic-VSNet: Visual-semantic prior knowledge-driven multimodal 3D panoptic segmentation. Pattern Recognit. Xiao Li, Hui Li, Xiangzhen Kong, Yuang Ji, Zhiyu Liu, Hao Liu
2026	J	`jnl`	TAVC: Utilizing a variational clustering-based transformation-enhanced attention mechanism for spatial domain recognition. Biomed. Signal Process. Control. Yifan Dai, Xiangzhen Kong, Lingyun Dai, Shengjun Li, Juan Wang
2026	J	`jnl`	The Art of Socratic Inquiry: A Framework for Proactive Template-Guided Therapeutic Conversation Generation. CoRR Mingwen Zhang, Minqiang Yang, Changsheng Ma, Yang Yu, Hui Bai, Chen Xu, Xiangzhen Kong, Bin Hu
2025	—	`conf`	Identifying Spatial Domains from Spatial Transcriptomics Using Graph Contrastive Learning with an Adversarial Mechanism. BIBM Qi Gao, Xiangzhen Kong, Juan Wang
2025	A*	`conf`	SiFMimicEvader: Evading Fake Voice Detection with Adversarial Neural Mimicry Attacks. ACM Multimedia Xuan Hai, Xin Liu, Zihao Zhang, Ziyao Yu, Xiangzhen Kong, Song Li, Weina Niu, Rui Zhou, Qingguo Zhou
2025	—	`conf`	scGZDC: Graph-Based ZINB Deep Clustering for Single-Cell RNA-Seq Data. BIBM Hui-Bo Tian, Xiangzhen Kong, Jin-Xing Liu, Junliang Shang, Juan Wang, Ling-Yun Dai
2024	J	`jnl`	A serious game approach for lake modeling and management: The EscapeBLOOM. Environ. Model. Softw. Dianneke van Wijk, Xiangzhen Kong, Harmen Knap, Annette B. G. Janssen
2024	—	`conf`	Discrimination between RA and LA Sinus Rhythms using machine learning approach. EMBC Yuxuan Du, Jason A. Tri, Christopher V. DeSimone, Xiangzhen Kong, Elena G. Tolkacheva
2024	—	`conf`	Use of Optical Mapping to assess the level of maturation of Engineered Heart Tissues. EMBC Sanaz Hosseini, Xiangzhen Kong, Sophie E. Givens, Brenda M. Ogle, Elena G. Tolkacheva
2023	J	`jnl`	A Data-Driven Preprocessing Framework for Atrial Fibrillation Intracardiac Electrocardiogram Analysis. Entropy Xiangzhen Kong, Vasanth Ravikumar, Siva K. Mulpuru, Henri Roukoz, Elena G. Tolkacheva
2023	J	`jnl`	DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu
2023	J	`jnl`	KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. Linping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang
2023	J	`jnl`	Multiobject Tracking via Discriminative Embeddings for the Internet of Things. IEEE Internet Things J. Hui Li, Xiaoguo Liang, Hao Yin, Lingwei Xu, Xiangzhen Kong, T. Aaron Gulliver
2023	—	`conf`	Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li
2023	J	`jnl`	Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis. Comput. Biol. Medicine Guoqin Peng, Kunyuan Zhao, Hao Zhang, Dan Xu, Xiangzhen Kong
2022	J	`jnl`	GSTA: Pedestrian trajectory prediction based on global spatio-temporal association of graph attention network. Pattern Recognit. Lett. Wei Kong, Yun Liu, Hui Li, Chuanxu Wang, Ye Tao, Xiangzhen Kong
2022	J	`jnl`	Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. Juan Wang, Cong-Hai Lu, Xiangzhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
2022	—	`conf`	NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 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
2022	J	`jnl`	Patterns of a structural covariance network associated with dispositional optimism during late adolescence. NeuroImage Han Lai, Xiangzhen Kong, Yajun Zhao, Nanfang Pan, Xun Zhang, Min He, Song Wang, Qiyong Gong
2021	J	`jnl`	Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis. Quant. Biol. Ya-li Zhu, Xiao-Ning Zhang, Chuan-Yuan Wang, Jin-Xing Liu, Xiangzhen Kong
2021	—	`conf`	Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA He-Ming Chu, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2021	J	`jnl`	The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu
2020	—	`conf`	AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 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
2020	J	`jnl`	AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR 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
2020	—	`conf`	Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong
2020	J	`jnl`	Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiangzhen Kong
2020	—	`conf`	Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM Yu Song, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2020	—	`conf`	NTIRE 2020 Challenge on NonHomogeneous Dehazing. CVPR Workshops 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 M. 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
2020	J	`jnl`	NTIRE 2020 Challenge on NonHomogeneous Dehazing. CoRR 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 M. 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
2019	—	`conf`	AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops 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
2019	J	`jnl`	AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR 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
2019	J	`jnl`	Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiangzhen Kong
2019	J	`jnl`	Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. Juan Wang, Jin-Xing Liu, Xiangzhen Kong, Shasha Yuan, Ling-Yun Dai
2019	J	`jnl`	Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong
2019	J	`jnl`	Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong, Junliang Shang
2018	—	`conf`	Modelling Contrast Sensitivity for Chromatic Temporal Modulations. CIC Xiangzhen Kong, Mijael R. Bueno Pérez, Ingrid M. L. C. Vogels, Dragan Sekulovski, Ingrid Heynderickx
2018	—	`conf`	Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiangzhen Kong, Ling-Yun Dai
2018	—	`conf`	Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiangzhen Kong, Mi-Xiao Hou, Shasha Yuan
2018	J	`jnl`	Towards evidence-based parameter values and priors for aquatic ecosystem modelling. Environ. Model. Softw. 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
2017	—	`conf`	A convex multi-view low-rank sparse regression for feature selection and clustering. BIBM Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang
2017	J	`jnl`	A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiangzhen Kong, Shasha Yuan
2017	—	`conf`	Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng
2016	—	`conf`	A p-norm singular value decomposition method for robust tumor clustering. BIBM Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Yao Lu
2016	—	`conf`	Differentially expressed genes selection via Truncated Nuclear Norm Regularization. BIBM Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Hou Zheng, Yong Du
2016	—	`conf`	Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
2016	—	`conf`	Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang
2014	J	`jnl`	Modeling and Analysis of Dependability Attributes for Services Computing Systems. IEEE Trans. Serv. Comput. Jiwei Huang, Chuang Lin, Xiangzhen Kong, Bing Wei, Xuemin Shen
2013	A	`conf`	Reliability-Aware Energy Efficiency in Web Service Provision and Placement. ICWS Ying Chen, Peng Zhang, Xiangzhen Kong, Chuang Lin
2012	J	`jnl`	Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters. Adv. Multim. Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong
2011	C	`conf`	Dependability Modeling and Analysis for the Virtual Data Center of Cloud Computing. HPCC Bing Wei, Chuang Lin, Xiangzhen Kong
2011	J	`jnl`	Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction. J. Netw. Comput. Appl. Xiangzhen Kong, Chuang Lin, Yixin Jiang, Wei Yan, Xiaowen Chu
2011	—	`conf`	Modeling and Analysis of Dependability Attributes of Service Computing Systems. IEEE SCC Jiwei Huang, Chuang Lin, Xiangzhen Kong, Yemei Zhu
2009	—	`conf`	Comprehensive Analysis of Performance, Fault-Tolerance and Scalability in Grid Resource Management System. GCC Xiangzhen Kong, Jiwei Huang, Chuang Lin
2009	Misc	`conf`	Improving Multi-Core System Dependability with Asymmetrically Reliable Cores. CISIS Peter D. Ungsunan, Chuang Lin, Yi Gai, Xiangzhen Kong
2009	—	`conf`	Model-Driven Dependability Analysis of Virtualization Systems. ACIS-ICIS Xu Zhang, Chuang Lin, Xiangzhen Kong
2009	C	`conf`	Performance, Fault-Tolerance and Scalability Analysis of Virtual Infrastructure Management System. ISPA Xiangzhen Kong, Jiwei Huang, Chuang Lin, Peter D. Ungsunan
2009	—	`conf`	TMBF: Bloom filter algorithms of time-dependent multi bit-strings for incremental set. ICUMT Mingzhong Xiao, Xiangzhen Kong, Junfei Liu, Ju Ning
2009	J	`jnl`	Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. IEEE Trans. Inf. Technol. Biomed. Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong
2008	J	`jnl`	Gene Expression Data Classification Using Consensus Independent Component Analysis. Genom. Proteom. Bioinform. Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao
2008	—	`conf`	Improving Tumor Clustering Based on Gene Selection. ICIC (1) Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Yutian Wang
2007	—	`conf`	Automated Promotion Machine: Emerging IS for the Retail Industry in China. CONFENIS (2) Yan Chen, Jun Tian, Xiangzhen Kong
2007	—	`conf`	Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint. ICIC (1) Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Li Shang