Zhendong Niu

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 120

Top Venues

Publications

Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR (2024)
Tesfaye Fenta Boka, Zhendong Niu, Rama Bastola Neupane
A survey of sequential recommendation systems: Techniques, evaluation, and future directions. Inf. Syst. 125 (2024)
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, Jude Tchaye-Kondi, Nuru Jingili, Abdulganiyu Abdu Yusuf, Augustino Faustino Deve
Fake review detection techniques, issues, and future research directions: a literature review. Knowl. Inf. Syst. 66 (9) (2024)
Rukundo Prince, Zhendong Niu, Zahid Younas Khan, Masabo Emmanuel, Niyishaka Patrick
COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms. BMC Bioinform. 25 (1) (2024)
Ping Qiu, Chunxia Zhang, Dongping Gao, Zhendong Niu
A fusion of centrality and correlation for feature selection. Expert Syst. Appl. 241 (2024)
Jingtao Guo, Chunxia Zhang, Lingxi Li, Xiaojun Xue, Zhendong Niu
A Unified Joint Approach with Topological Context Learning and Rule Augmentation for Knowledge Graph Completion. ACL (Findings) (2024)
Xinyue Xue, Chunxia Zhang, Yizhou Wang, Haipei Song, Xiaojun Xue, Zhendong Niu
Heterogeneous Views and Spatial Structure Enhancement for triple error detection. Expert Syst. Appl. 256 (2024)
Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
Deep Coupling Network for Multivariate Time Series Forecasting. ACM Trans. Inf. Syst. 42 (5) (2024)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). ICDE (2024)
Yuanchi Ma, Hui He, Zhongxiang Lei, Zhendong Niu
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k. CoRR (2024)
Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification. AAAI (2024)
Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu
Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, Jude Tchaye-Kondi, James Chambua, Abdulganiyu Abdu Yusuf
DHMFRD - TER: a deep hybrid model for fake review detection incorporating review texts, emotions, and ratings. Multim. Tools Appl. 83 (2) (2024)
Donglei Liu, Hao Lu, Yong Yuan, Rui Qin, Yifan Zhu, Chunxia Zhang, Zhendong Niu
A Local Self-Attention Sentence Model for Answer Selection Task in CQA Systems. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS (2023)
Chao Xiang, Xiaopo Xie, Chen Feng, Zhen Bai, Zhendong Niu, Mingchuan Yang
V2I-BEVF: Multi-modal Fusion Based on BEV Representation for Vehicle-Infrastructure Perception. ITSC (2023)
Yuanchi Ma, Hui He, Zhendong Niu
BDC: Using BERT and Deep Clustering to Improve Chinese Proper Noun Recognition. SEKE (2023)
Chao Xiang, Chen Feng, Xiaopo Xie, Botian Shi, Hao Lu, Yisheng Lv, Mingchuan Yang, Zhendong Niu
Multi-Sensor Fusion and Cooperative Perception for Autonomous Driving: A Review. IEEE Intell. Transp. Syst. Mag. 15 (5) (2023)
Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification. CoRR (2023)
Daohua Yu, Xin Zhou, Yu Pan, Zhendong Niu, Xu Yuan, Huafei Sun
University Academic Performance Development Prediction Based on TDA. Entropy 25 (1) (2023)
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR (2023)
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR (2023)
Xiaojun Xue, Chunxia Zhang, Zhendong Niu, Xindong Wu
Multi-Level Attention Map Network for Multimodal Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu
Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. Neurocomputing 558 (2023)
Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu
Constrained Tuple Extraction with Interaction-Aware Network. ACL (1) (2023)
Ping Qiu, Zhendong Niu, Chunxia Zhang
Research on the multi-source causal feature selection method based on multiple causal relevance. Knowl. Based Syst. 265 (2023)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu
Application of Social Sensors in Natural Disasters Emergency Management: A Review. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR (2023)
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS (2023)
Xin Zhang, Chunxia Zhang, Jingtao Guo, Cheng Peng, Zhendong Niu, Xindong Wu
Graph attention network with dynamic representation of relations for knowledge graph completion. Expert Syst. Appl. 219 (2023)
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, Jude Tchaye-Kondi, Abdulganiyu Abdu Yusuf
A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings. Soft Comput. 27 (10) (2023)
Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR (2023)
Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. CoRR (2022)
Shanshan Wan, Ying Liu, Dongwei Qiu, James Chambua, Zhendong Niu
A dual learning-based recommendation approach. Knowl. Based Syst. 254 (2022)
Chao Xiang, Minglan Su, Chaoying Zhang, Feng Wang, Mingchuan Yang, Zhendong Niu
E-CapsGan: Generative adversarial network using capsule network as feature encoder. Multim. Tools Appl. 81 (18) (2022)
Hao Lu, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique Herrera-Viedma
Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Qi Zhang, Longbing Cao, Chongyang Shi, Zhendong Niu
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. AAAI (2022)
Chao Xiang, Li Zhang, Xiaopo Xie, Longgang Zhao, Xin Ke, Zhendong Niu, Feng Wang
Multi-sensor fusion algorithm in cooperative vehicle-infrastructure system for blind spot warning. Int. J. Distributed Sens. Networks 18 (5) (2022)
Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR (2022)
Daohua Yu, Xin Zhou, Yu Pan, Zhendong Niu, Huafei Sun
Application of Statistical K-Means Algorithm for University Academic Evaluation. Entropy 24 (7) (2022)
Ping Qiu, Zhendong Niu
TCIC_FS: Total correlation information coefficient-based feature selection method for high-dimensional data. Knowl. Based Syst. 231 (2021)
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. CoRR (2021)
Zahid Younas Khan, Zhendong Niu, Ally S. Nyamawe, Ijaz Ul Haq
A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information. Eng. Appl. Artif. Intell. 97 (2021)
Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo
Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183 (2021)
Kaize Shi, Yusen Wang, Hao Lu, Yifan Zhu, Zhendong Niu
EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings. Inf. Process. Manag. 58 (4) (2021)
Hao Lu, Yifan Zhu, Yong Yuan, Weichao Gong, Juanjuan Li, Kaize Shi, Yisheng Lv, Zhendong Niu, Fei-Yue Wang
Social Signal-Driven Knowledge Automation: A Focus on Social Transportation. IEEE Trans. Comput. Soc. Syst. 8 (3) (2021)
Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu
Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Gener. Comput. Syst. 117 (2021)
Jiameng Gao, Chunxia Zhang, Yanyan Xu, Meiqiu Luo, Zhendong Niu
Hybrid microblog recommendation with heterogeneous features using deep neural network. Expert Syst. Appl. 167 (2021)
Zahid Younas Khan, Zhendong Niu, Sulis Sandiwarno, Rukundo Prince
Deep learning techniques for rating prediction: a survey of the state-of-the-art. Artif. Intell. Rev. 54 (1) (2021)
James Chambua, Zhendong Niu
Review text based rating prediction approaches: preference knowledge learning, representation and utilization. Artif. Intell. Rev. 54 (2) (2021)
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowl. Based Syst. 215 (2021)
Zahid Younas Khan, Zhendong Niu
CNN with depthwise separable convolutions and combined kernels for rating prediction. Expert Syst. Appl. 170 (2021)
Yusen Wang, Kaize Shi, Zhendong Niu
A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. SEKE (2020)
Shanshan Wan, Zhendong Niu
A Hybrid E-Learning Recommendation Approach Based on Learners' Influence Propagation. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu
Automatic generation of meteorological briefing by event knowledge guided summarization model. Knowl. Based Syst. 192 (2020)
Yaoxin Nie, Linlin Zhu, Zhendong Niu
An Auxiliary System for Calculating Effective Connectivity from Co-Activation Network Data. BIBM (2020)
Xuesong Li, Tianle Cao, Yan Tong, Xiaodong Ma, Zhendong Niu, Hua Guo
Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory. Neurocomputing 398 (2020)
Botian Shi, Lei Ji, Zhendong Niu, Nan Duan, Ming Zhou, Xilin Chen
Learning Semantic Concepts and Temporal Alignment for Narrated Video Procedural Captioning. ACM Multimedia (2020)
Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization. Neurocomputing 415 (2020)
Ally S. Nyamawe, Hui Liu, Nan Niu, Qasim Umer, Zhendong Niu
Feature requests-based recommendation of software refactorings. Empir. Softw. Eng. 25 (5) (2020)
Kaize Shi, Changjin Gong, Hao Lu, Yifan Zhu, Zhendong Niu
Wide-grained capsule network with sentence-level feature to detect meteorological event in social network. Future Gener. Comput. Syst. 102 (2020)
Zahid Younas Khan, Zhendong Niu, Abdallah Yousif
Joint Deep Recommendation Model Exploiting Reviews and Metadata Information. Neurocomputing 402 (2020)
Wentao Wang, Nan Niu, Mounifah Alenazi, Juha Savolainen, Zhendong Niu, Jing-Ru C. Cheng, Li Da Xu
Complementarity in Requirements Tracing. IEEE Trans. Cybern. 50 (4) (2020)
Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. IJCNN (2019)
Qi Zhang, Chongyang Shi, Zhendong Niu, Longbing Cao
HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. IEEE Trans. Knowl. Data Eng. 31 (1) (2019)
Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan
Knowledge Aware Semantic Concept Expansion for Image-Text Matching. IJCAI (2019)
Qika Lin, Yifan Zhu, Sifan Zhang, Pengfei Shi, Qing Guo, Zhendong Niu
Lexical based automated teaching evaluation via students' short reviews. Comput. Appl. Eng. Educ. 27 (1) (2019)
Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao
Modeling positive and negative feedback for improving document retrieval. Expert Syst. Appl. 120 (2019)
Donglei Liu, Zhendong Niu, Chunxia Zhang, Jiadi Zhang
Multi-Scale Deformable CNN for Answer Selection. IEEE Access 7 (2019)
Yinan Li, Fuquan Zhang, Yifan Zhu, Sifan Zhang, Yu Mao, Zhendong Niu
Chinese Lexical Based Sentiment Analysis Framework in Meteorology. ISPA/BDCloud/SocialCom/SustainCom (2019)
Ally S. Nyamawe, Hui Liu, Nan Niu, Qasim Umer, Zhendong Niu
Automated Recommendation of Software Refactorings Based on Feature Requests. RE (2019)
Yubing Nie, Yifan Zhu, Qika Lin, Sifan Zhang, Pengfei Shi, Zhendong Niu
Academic rising star prediction via scholar's evaluation model and machine learning techniques. Scientometrics 120 (2) (2019)
Abdallah Yousif, Zhendong Niu, John K. Tarus, Arshad Ahmad
A survey on sentiment analysis of scientific citations. Artif. Intell. Rev. 52 (3) (2019)
James Chambua, Zhendong Niu, Yifan Zhu
User preferences prediction approach based on embedded deep summaries. Expert Syst. Appl. 132 (2019)
Changjin Gong, Kaize Shi, Zhendong Niu
Hierarchical Text-Label Integrated Attention Network for Document Classification. HPCCT/BDAI (2019)
Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou
Dense Procedure Captioning in Narrated Instructional Videos. ACL (1) (2019)
Abdallah Yousif, Zhendong Niu, James Chambua, Zahid Younas Khan
Multi-task learning model based on recurrent convolutional neural networks for citation sentiment and purpose classification. Neurocomputing 335 (2019)
Abdallah Yousif, Zhendong Niu, Ally S. Nyamawe, Yating Hu
Improving Citation Sentiment and Purpose Classification Using Hybrid Deep Neural Network Model. AISI (2018)
James Chambua, Zhendong Niu, Abdallah Yousif, Jimmy T. Mbelwa
Tensor factorization method based on review text semantic similarity for rating prediction. Expert Syst. Appl. 114 (2018)
Ally S. Nyamawe, Hui Liu, Zhendong Niu, Wentao Wang, Nan Niu
Recommending Refactoring Solutions Based on Traceability and Code Metrics. IEEE Access 6 (2018)
Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao
Concept coupling learning for improving concept lattice-based document retrieval. Eng. Appl. Artif. Intell. 69 (2018)
Hengyi Wang, Zhendong Niu
Climate Event Detection Algorithm Based on Climate Category Word Embedding. ICBDC (2018)
Wentao Wang, Nan Niu, Hui Liu, Zhendong Niu
Enhancing Automated Requirements Traceability by Resolving Polysemy. RE (2018)
Abdallah Yousif, Zhendong Niu, Ally S. Nyamawe
Citation Classification Using Multitask Convolutional Neural Network Model. KSEM (2) (2018)
Chunxia Zhang, Zhendong Niu, Chongyang Shi, Jianyun Shang
基于细粒度学习情感本体的学习效果评估方法 - - 以算法设计与分析课程为例 (Learning Effect Evaluation Method Based on Fine-granularity Learning Emotion Ontology - - Taking Algorithm Design and Analysis Course as Example). 计算机科学 45 (6A) (2018)
Qika Lin, Yaoqiang Niu, Yifan Zhu, Hao Lu, Keith Zvikomborero Mushonga, Zhendong Niu
Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music Recommendations. IEEE Access 6 (2018)
John K. Tarus, Zhendong Niu, Dorothy Kalui
A hybrid recommender system for e-learning based on context awareness and sequential pattern mining. Soft Comput. 22 (8) (2018)
Jun Qian, Zhendong Niu, Chongyang Shi
Sentiment Analysis Model on Weather Related Tweets with Deep Neural Network. ICMLC (2018)
Zeeshan Ahmed Nizamani, Hui Liu, David M. Chen, Zhendong Niu
Automatic approval prediction for software enhancement requests. Autom. Softw. Eng. 25 (2) (2018)
Shanshan Wan, Zhendong Niu
An e-learning recommendation approach based on the self-organization of learning resource. Knowl. Based Syst. 160 (2018)
Khadidja Bakhti, Zhendong Niu, Abdallah Yousif, Ally S. Nyamawe
Citation Function Classification Based on Ontologies and Convolutional Neural Networks. LTEC@KMO (2018)
Chuan-Ming Liu, Zhendong Niu, Kuan-Teng Liao
means. Data Knowl. Eng. 116 (2018)
Wentao Wang, Arushi Gupta, Nan Niu, Li Da Xu, Jing-Ru C. Cheng, Zhendong Niu
Automatically Tracing Dependability Requirements via Term-Based Relevance Feedback. IEEE Trans. Ind. Informatics 14 (1) (2018)
John K. Tarus, Zhendong Niu, Ghulam Mustafa
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artif. Intell. Rev. 50 (1) (2018)
Khadidja Bakhti, Zhendong Niu, Ally S. Nyamawe
A New Scheme for Citation Classification based on Convolutional Neural Networks. SEKE (2018)
Lei Zhao, Chunxia Zhang, Xi Zhang, Yating Hu, Zhendong Niu
A Deep Reinforced Training Method for Location-Based Image Captioning. PRICAI (1) (2018)
Hao Lu, Kaize Shi, Yifan Zhu, Yisheng Lv, Zhendong Niu
Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model. Sensors 18 (12) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhendong Niu