Qingchen Zhang

106 papers A* 11C 1Journal 72Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive differential privacy mechanism for enhanced deep learning model utility and privacy. Neural Networks Zhang Xiangfei, Qingchen Zhang
2026	J	`jnl`	An output perturbation method based on few-shot learning with data augmentation for lung cancer classification. Eng. Appl. Artif. Intell. Zhang Xiangfei, Qingchen Zhang
2026	J	`jnl`	Cell interactions inference for single-cell spatial transcriptomes with GraphCIM. Expert Syst. Appl. Weiliang Huo, Qingchen Zhang
2026	J	`jnl`	DeepNhKcr: Explainable Deep Learning Framework for the Prediction of Crotonylation Sites of Non-Histone Lysine in Plants Based on Pre-Trained Protein Language Model. IEEE Trans. Comput. Biol. Bioinform. Jinwei Wang, Zhenjie Luo, Aoyun Geng, Junlin Xu, Yajie Meng, Shankai Yan, Leyi Wei, Zilong Zhang, Qingchen Zhang, Quan Zou, Feifei Cui
2026	J	`jnl`	DeepR2OM: Accurate Recognition for RNA 2′-O-Methylation Sites in Human Genome Using Deep Learning. IEEE Trans. Comput. Biol. Bioinform. Jiahao Yuan, Shun Gao, Ziyuan Yan, Feifei Cui, Leyi Wei, Qingchen Zhang, Quan Zou, Zilong Zhang
2026	A*	`conf`	GATCL: An Adaptive Contrastive Learning Framework Based on MHGAT for Spatial Domain Identification in Spatial Transcriptomics. AAAI Shilin Zhang, Weiliang Huo, Qingchen Zhang, Xiulong Liu
2026	J	`jnl`	Het2Gene: a phenotype-driven model for gene prioritization by heterogeneous graph embedding. Comput. Biol. Medicine Buchao Zhan, Xin Yang, Dongmei He, Zilong Zhang, Feifei Cui, Qingchen Zhang, Shankai Yan
2026	A*	`conf`	SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics. AAAI Shilin Zhang, Suixue Wang, Qingchen Zhang, Xiulong Liu
2026	A*	`conf`	SSL-CST: Cell Segmentation for Single-Cell Spatial Transcriptome Based on Self-Supervised Learning. AAAI Weiliang Huo, Shilin Zhang, Suixue Wang, Qingchen Zhang
2025	J	`jnl`	ACP-ESM2: Enhancing Anticancer Peptide Prediction With Pre-Trained Protein Language Models. IEEE Trans. Comput. Biol. Bioinform. Shun Gao, Yan Xia, Xingfeng Li, Feifei Cui, Qingchen Zhang, Quan Zou, Zilong Zhang
2025	J	`jnl`	AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction. J. Chem. Inf. Model. Yuanhao Li, Aoyun Geng, Zheyu Zhou, Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Qingchen Zhang, Zilong Zhang
2025	—	`conf`	An End-to-End Deep Reinforcement Learning Framework for 3D Reconstruction of Spatial Transcriptomics. BIBM Huaiji Wang, Suixue Wang, Shilin Zhang, Weiliang Huo, Xiangjun Hu, Xiangfei Zhang, Qingchen Zhang
2025	A*	`conf`	CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting. IJCAI Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu
2025	J	`jnl`	Cancelable Binary Face Templates Generation Based on Partial Cake-Cutting Transformation and Spherical Hashing. IEEE Internet Things J. Qikang Zhang, Yuxing Li, Qingchen Zhang, Zifeng Huang, Heng Zhao, Zhicheng X. Cao, Liaojun Pang
2025	J	`jnl`	Defending against attacks in deep learning with differential privacy: a survey. Artif. Intell. Rev. Zhang Xiangfei, Qingchen Zhang
2025	A*	`conf`	Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information. IJCAI Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu
2025	A*	`conf`	Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data. ACM Multimedia Liang Zhao, Shubin Ma, Bo Xu, Qingchen Zhang
2025	J	`jnl`	Dual-channel batch constrained deep Q-learning for sepsis treatment. Eng. Appl. Artif. Intell. Huidong Liu, Zhang Xiangfei, Yu Hang, Qingchen Zhang
2025	A*	`conf`	EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos. IJCAI Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia
2025	J	`jnl`	GCNLA: Inferring Cell-Cell Interactions From Spatial Transcriptomics With Long Short-Term Memory and Graph Convolutional Networks. IEEE J. Biomed. Health Informatics Chao Yang, Xiuhao Fu, Zhenjie Luo, Leyi Wei, Jingbing Li, Feifei Cui, Quan Zou, Qingchen Zhang, Zilong Zhang
2025	—	`conf`	GDST: A Graph Contrastive Learning Framework Based on Graph Diffusion for Spatial Domain Identification in Spatial Transcriptomics. BIBM Chenlan Sun, Zhengxia Wang, Qingchen Zhang, Jianbo Xu, Qikang Zhang, Yuxing Li
2025	A*	`conf`	Higher-order Logical Knowledge Representation Learning. IJCAI Suixue Wang, Weiliang Huo, Shilin Zhang, Qingchen Zhang
2025	J	`jnl`	Layer-Level Adaptive Gradient Perturbation Protecting Deep Learning Based on Differential Privacy. CAAI Trans. Intell. Technol. Xiangfei Zhang, Qingchen Zhang, Jiang Liming
2025	A*	`conf`	MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering. IJCAI Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo
2025	J	`jnl`	PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model. Comput. Biol. Chem. Ruiqi Liu, Shankai Yan, Zilong Zhang, Junlin Xu, Yajie Meng, Qingchen Zhang, Leyi Wei, Quan Zou, Feifei Cui
2025	A*	`conf`	POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction. IJCAI Suixue Wang, Shilin Zhang, Huiyuan Lai, Weiliang Huo, Qingchen Zhang
2025	—	`conf`	Predicting Phenotype-Gene Relationship Using Heterogeneous Graph Attention Network. BIBM Qianhui Zhang, Qingchen Zhang
2025	J	`jnl`	RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA-protein binding sites prediction. BMC Bioinform. Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang
2025	J	`jnl`	Zero-Shot Image Recognition via Learning Dual Prototype Accordance Across Meta-Domains. IEEE Trans. Image Process. Bocheng Ren, Yuanyuan Yi, Qingchen Zhang, Debin Liu
2024	J	`jnl`	A Cloud-Edge Collaboration Framework for Cancer Survival Prediction to Develop Medical Consumer Electronic Devices. IEEE Trans. Consumer Electron. Suixue Wang, Zhigao Zheng, Xinghong Wang, Qingchen Zhang, Zhuo Liu
2024	J	`jnl`	An Edge-Cloud-Aided Private High-Order Fuzzy C-Means Clustering Algorithm in Smart Healthcare. IEEE Trans. Comput. Biol. Bioinform. Hang Yu, Qingchen Zhang, Laurence T. Yang
2024	—	`conf`	Attention-aware Rare Disease Diagnosis via Graph Attention Neural Network. ICCBB Xin Yang, Dongmei He, Buchao Zhan, Qingchen Zhang, Shankai Yan
2024	—	`conf`	Augmented Mycobiome-Based Cancer Detection by an Interpretable Large Model. BIBM Dongmei He, Xin Yang, Buchao Zhan, Zilong Zhang, Qingchen Zhang, Shankai Yan
2024	—	`conf`	ContraMAE: Contrastive alignment masked autoencoder framework for cancer survival prediction. BIBM Suixue Wang, Huiyuan Lai, Shuling Wang, Qingchen Zhang
2024	—	`conf`	GCLM-CDR: a graph contrastive learning method with multi-omics for cancer drug response prediction. BIBM Zeyu Yao, Qingchen Zhang
2024	J	`jnl`	Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring. IEEE J. Biomed. Health Informatics Kai Fang, Wei Wang, Marcin Wozniak, Qingchen Zhang, Keping Yu, Junxin Chen, Amr Tolba, Leo Yu Zhang
2024	J	`jnl`	Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Xiuhao Fu, Hao Duan, Xiaofeng Zang, Chunling Liu, Xingfeng Li, Qingchen Zhang, Zilong Zhang, Quan Zou, Feifei Cui
2024	J	`jnl`	MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks. PLoS Comput. Biol. Hao Duan, Qingchen Zhang, Feifei Cui, Quan Zou, Zilong Zhang
2024	J	`jnl`	Machine learning-based prediction model for distant metastasis of breast cancer. Comput. Biol. Medicine Hao Duan, Yu Zhang, Haoye Qiu, Xiuhao Fu, Chunling Liu, Xiaofeng Zang, Anqi Xu, Ziyue Wu, Xingfeng Li, Qingchen Zhang, Zilong Zhang, Feifei Cui
2024	—	`conf`	RNASite: A one-stop tool website that integrates multiple RNA modification site databases and servers. BIBM Jiahao Yuan, Xingfeng Li, Zilong Zhang, Qingchen Zhang, Quan Zou, Feifei Cui
2024	A*	`conf`	Self-Supervised Learning for Graph Dataset Condensation. KDD Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang
2023	J	`jnl`	A Compressed Model-Agnostic Meta-Learning Model Based on Pruning for Disease Diagnosis. J. Circuits Syst. Comput. Xiangjun Hu, Xiuxiu Ding, Dongpeng Bai, Qingchen Zhang
2023	—	`conf`	ADCL: an adaptive dual contrastive learning framework based on MHGAT and VAE for cell type deconvolution in spatial transcriptomics. BIBM Shilin Zhang, Qingchen Zhang
2023	—	`conf`	Attention-based BRCNN for Chinese Medical Question Answering. BIBM Ruilin Qi, Hang Li, Qingchen Zhang
2023	—	`conf`	Biomarker discovery using multimodal data with the potential application in lung tumor diagnosis. BIBM Ruhao Liu, Qingchen Zhang, Kai Wang, Shuling Wang
2023	J	`jnl`	Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance. IEEE Trans. Netw. Sci. Eng. Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie
2023	—	`conf`	HC-MAE: Hierarchical Cross-attention Masked Autoencoder Integrating Histopathological Images and Multi-omics for Cancer Survival Prediction. BIBM Suixue Wang, Xiangjun Hu, Qingchen Zhang
2023	—	`conf`	MLLCD: A Meta Learning-based Method for Lung Cancer Diagnosis Using Histopathology Images. BIBM Xiangjun Hu, Suixue Wang, Hang Li, Qingchen Zhang
2023	J	`jnl`	Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Xingfeng Li, Xiaohan Shi, Desheng Hu, Yongwei Li, Qingchen Zhang, Zhengxia Wang, Masashi Unoki, Masato Akagi
2023	J	`jnl`	Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks. IEEE Trans. Neural Networks Learn. Syst. Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie
2022	—	`conf`	A Deep Reinforcement Computation Model for Sepsis Treatment. BIBM Hang Yu, Qingchen Zhang
2022	—	`conf`	A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals. BIBM Shilin Zhang, Qingchen Zhang
2022	—	`conf`	A differential privacy based prototypical network for medical data learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yu Guo, Feng Yang, Pengyue Sun, Qingchen Zhang
2022	—	`conf`	BRCNN: Chinese medical question answer selection based on BERT. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Ruilin Qi, Pengyue Sun, Qingchen Zhang
2022	—	`conf`	Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays. BIBM Hang Yu, Qingchen Zhang
2022	J	`jnl`	PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing. IEEE Trans. Big Data Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2022	J	`jnl`	TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. Debin Liu, Laurence T. Yang, Puming Wang, Ruonan Zhao, Qingchen Zhang
2021	J	`jnl`	A Cloud-Edge-Aided Incremental High-Order Possibilistic c-Means Algorithm for Medical Data Clustering. IEEE Trans. Fuzzy Syst. Fanyu Bu, Chengsheng Hu, Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Thar Baker
2021	J	`jnl`	A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services. IEEE ACM Trans. Comput. Biol. Bioinform. Qingchen Zhang, Changchuan Bai, Laurence T. Yang, Zhikui Chen, Peng Li, Hang Yu
2021	J	`jnl`	A deep residual computation model for heterogeneous data learning in smart Internet of Things. Appl. Soft Comput. Hang Yu, Laurence T. Yang, Xiangchao Fan, Qingchen Zhang
2021	J	`jnl`	An edge-cloud-aided incremental tensor-based fuzzy c-means approach with big data fusion for exploring smart data. Inf. Fusion Xia Xie, Qingchen Zhang
2021	J	`jnl`	Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives. Neurocomputing Hang Yu, Laurence T. Yang, Qingchen Zhang, David Armstrong, M. Jamal Deen
2021	J	`jnl`	Deep learning models for diagnosing spleen and stomach diseases in smart Chinese medicine with cloud computing. Concurr. Comput. Pract. Exp. Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Hang Yu, Shuo Wang, He Gao
2021	J	`jnl`	Securing the Internet-of-Things: Advances, challenges, future trends. Trans. Emerg. Telecommun. Technol. Ximeng Liu, Yi Mu, Jianting Ning, Qingchen Zhang
2021	J	`jnl`	Support Multimode Tensor Machine for Multiple Classification on Industrial Big Data. IEEE Trans. Ind. Informatics Zhenchao Ma, Laurence Tianruo Yang, Qingchen Zhang
2021	J	`jnl`	Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems. IEEE Internet Things J. Cheng Dai, Xingang Liu, Laurence T. Yang, Minghao Ni, Zhenchao Ma, Qingchen Zhang, M. Jamal Deen
2020	J	`jnl`	A GPU-based residual network for medical image classification in smart medicine. Inf. Sci. Qingchen Zhang, Changchuan Bai, Zhuo Liu, Laurence T. Yang, Hang Yu, Jingyuan Zhao, Hong Yuan
2020	J	`jnl`	An Edge-Cloud-Aided High-Order Possibilistic c-Means Algorithm for Big Data Clustering. IEEE Trans. Fuzzy Syst. Fanyu Bu, Qingchen Zhang, Laurence T. Yang, Hang Yu
2020	J	`jnl`	An adaptive deep learning model to differentiate syndromes of infectious fever in smart medicine. Future Gener. Comput. Syst. Zhuo Liu, Changchuan Bai, Hang Yu, Ying Zhu, Tai-Hua Wu, Fanyu Bu, Qingchen Zhang
2020	J	`jnl`	Autonomous Power Management With Double-Q Reinforcement Learning Method. IEEE Trans. Ind. Informatics Hui Huang, Man Lin, Laurence T. Yang, Qingchen Zhang
2020	J	`jnl`	Incremental Deep Computation Model for Wireless Big Data Feature Learning. IEEE Trans. Big Data Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2019	J	`jnl`	A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling. IEEE Trans. Serv. Comput. Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Samee U. Khan, Peng Li
2019	J	`jnl`	An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing. IEEE Trans. Ind. Informatics Qingchen Zhang, Laurence Tianruo Yang, Zhikui Chen, Peng Li, Fanyu Bu
2019	J	`jnl`	An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data. IEEE Trans. Ind. Informatics Peng Li, Zhikui Chen, Laurence Tianruo Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen
2019	J	`jnl`	Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2019	J	`jnl`	Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model. IEEE Trans. Sustain. Comput. Qingchen Zhang, Man Lin, Laurence T. Yang, Zhikui Chen, Peng Li
2019	J	`jnl`	IoT Big Data Analytics. Wirel. Commun. Mob. Comput. Salimur Choudhury, Qiang Ye, Mianxiong Dong, Qingchen Zhang
2019	J	`jnl`	Secure weighted possibilistic c-means algorithm on cloud for clustering big data. Inf. Sci. Qingchen Zhang, Laurence T. Yang, Arcangelo Castiglione, Zhikui Chen, Peng Li
2019	J	`jnl`	Smart Chinese medicine for hypertension treatment with a deep learning model. J. Netw. Comput. Appl. Qingchen Zhang, Changchuan Bai, Zhikui Chen, Peng Li, Shuo Wang, He Gao
2019	—	`book`	Smart Data: State-of-the-Art Perspectives in Computing and Applications, 1st Edition Smart Data Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
2018	J	`jnl`	A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks. IEEE Netw. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018	J	`jnl`	A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning. IEEE Trans. Ind. Informatics Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018	J	`jnl`	A survey on deep learning for big data. Inf. Fusion Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018	J	`jnl`	An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics. IEEE Trans. Ind. Informatics Qingchen Zhang, Laurence T. Yang, Zheng Yan, Zhikui Chen, Peng Li
2018	J	`jnl`	An Improved Deep Computation Model Based on Canonical Polyadic Decomposition. IEEE Trans. Syst. Man Cybern. Syst. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018	J	`jnl`	An Improved Stacked Auto-Encoder for Network Traffic Flow Classification. IEEE Netw. Peng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen
2018	J	`jnl`	Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things. IEEE Trans. Ind. Informatics Peng Li, Zhikui Chen, Laurence Tianruo Yang, Qingchen Zhang, M. Jamal Deen
2018	J	`jnl`	High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT. Inf. Fusion Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2018	J	`jnl`	Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning. IEEE Internet Things J. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li, M. Jamal Deen
2017	J	`jnl`	A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data. IEEE Syst. J. Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Feng Xia
2017	J	`jnl`	A Tucker Deep Computation Model for Mobile Multimedia Feature Learning. ACM Trans. Multim. Comput. Commun. Appl. Qingchen Zhang, Laurence T. Yang, Xingang Liu, Zhikui Chen, Peng Li
2017	J	`jnl`	A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing. Neurocomputing Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang
2017	J	`jnl`	An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. IEEE Trans. Ind. Informatics Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li
2017	—	`conf`	Double-Q Learning-Based DVFS for Multi-core Real-Time Systems. iThings/GreenCom/CPSCom/SmartData Hui Huang, Man Lin, Qingchen Zhang
2017	J	`jnl`	Internet of Everything. Mob. Inf. Syst. Laurence T. Yang, Beniamino Di Martino, Qingchen Zhang
2016	J	`jnl`	Deep Computation Model for Unsupervised Feature Learning on Big Data. IEEE Trans. Serv. Comput. Qingchen Zhang, Laurence T. Yang, Zhikui Chen
2016	J	`jnl`	Incomplete high-dimensional data imputation algorithm using feature selection and clustering analysis on cloud. J. Supercomput. Fanyu Bu, Zhikui Chen, Qingchen Zhang, Laurence T. Yang
2016	J	`jnl`	PPHOCFS: Privacy Preserving High-Order CFS Algorithm on the Cloud for Clustering Multimedia Data. ACM Trans. Multim. Comput. Commun. Appl. Qingchen Zhang, Hua Zhong, Laurence T. Yang, Zhikui Chen, Fanyu Bu
2016	J	`jnl`	Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning. IEEE Trans. Computers Qingchen Zhang, Laurence T. Yang, Zhikui Chen
2015	J	`jnl`	A nodes scheduling model based on Markov chain prediction for big streaming data analysis. Int. J. Commun. Syst. Qingchen Zhang, Zhikui Chen, Laurence T. Yang
2015	C	`ed.`	Advances in Services Computing - 9th Asia-Pacific Services Computing Conference, APSCC 2015, Bangkok, Thailand, December 7-9, 2015, Proceedings APSCC Lina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert Y. Zomaya, Hai Jin
2015	J	`jnl`	Distributed fuzzy c-means algorithms for big sensor data based on cloud computing. Int. J. Sens. Networks Qingchen Zhang, Zhikui Chen, Yonglin Leng
2014	J	`jnl`	A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data. Int. J. Distributed Sens. Networks Qingchen Zhang, Zhikui Chen
2014	J	`jnl`	A weighted kernel possibilistic Int. J. Commun. Syst. Qingchen Zhang, Zhikui Chen
2013	—	`conf`	A Universal Storage Architecture for Big Data in Cloud Environment. GreenCom/iThings/CPScom Qingchen Zhang, Zhikui Chen, Ailing Lv, Liang Zhao, Fangyi Liu, Jian Zou
2013	—	`conf`	Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. WAIM Workshops Qingchen Zhang, Zhikui Chen, Liang Zhao