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2020 – today
- 2025
[j91]Rukundo Prince, Zhendong Niu, Zahid Younas Khan, James Chambua, Abdallah Yousif, Niyishaka Patrick, Jennifer Batamuliza:
Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network. Comput. Biol. Medicine 186: 109659 (2025)- [j90]Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, Manjotho Ali Asghar:
An analysis of graph neural networks for fake review detection: A systematic literature review. Neurocomputing 623: 129341 (2025) - [j89]Peng Zhang
, Zhendong Niu, Ru Ma, Fuzhi Zhang:
Multi-view graph contrastive representation learning for bundle recommendation. Inf. Process. Manag. 62(1): 103956 (2025) - 2024
- [j88]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): 28 (2024) - [j87]Peng Zhang, Zhendong Niu, Ru Ma, Fuzhi Zhang:
DHCL-BR: Dual Hypergraph Contrastive Learning for Bundle Recommendation. Comput. J. 67(10): 2906-2919 (2024) - [j86]Ping Qiu, Chunxia Zhang, Dongping Gao, Zhendong Niu:
A fusion of centrality and correlation for feature selection. Expert Syst. Appl. 241: 122548 (2024) - [j85]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: 124938 (2024) - [j84]Sulis Sandiwarno, Zhendong Niu, Ally S. Nyamawe:
A Novel Hybrid Machine Learning Model for Analyzing E-Learning Users' Satisfaction. Int. J. Hum. Comput. Interact. 40(16): 4193-4214 (2024) - [j83]Tesfaye Fenta Boka, Zhendong Niu, Rama Bastola Neupane:
A survey of sequential recommendation systems: Techniques, evaluation, and future directions. Inf. Syst. 125: 102427 (2024) - [j82]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): 5071-5112 (2024) - [j81]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): 4533-4549 (2024) - [j80]Kaize Shi, Xueping Peng, Hao Lu, Yifan Zhu, Zhendong Niu:
Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. IEEE Trans. Comput. Soc. Syst. 11(2): 2002-2013 (2024) - [j79]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): 2504-2516 (2024) - [j78]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): 127:1-127:28 (2024) - [c119]Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu:
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification. AAAI 2024: 19341-19349 - [c118]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: 13686-13696 - [c117]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: 5747-5748 - [i13]Yuanchi Ma, Hui He, Zhongxiang Lei, Zhendong Niu:
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k. CoRR abs/2401.04741 (2024) - [i12]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR abs/2402.15134 (2024) - 2023
- [j77]Daohua Yu, Xin Zhou, Yu Pan, Zhendong Niu, Xu Yuan, Huafei Sun:
University Academic Performance Development Prediction Based on TDA. Entropy 25(1): 24 (2023) - [j76]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: 119616 (2023) - [j75]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: 126701 (2023) - [j74]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): 36-58 (2023) - [j73]Ping Qiu, Zhendong Niu, Chunxia Zhang:
Research on the multi-source causal feature selection method based on multiple causal relevance. Knowl. Based Syst. 265: 110334 (2023) - [j72]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): 6281-6296 (2023) - [j71]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): 3143-3158 (2023) - [j70]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): 3283-3294 (2023) - [j69]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): 4178-4189 (2023) - [j68]Xiaojun Xue, Chunxia Zhang, Zhendong Niu, Xindong Wu:
Multi-Level Attention Map Network for Multimodal Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(5): 5105-5118 (2023) - [c116]Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu:
Constrained Tuple Extraction with Interaction-Aware Network. ACL (1) 2023: 11430-11444 - [c115]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: 5292-5299 - [c114]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 - [c113]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 - [c112]Yuanchi Ma, Hui He, Zhendong Niu:
BDC: Using BERT and Deep Clustering to Improve Chinese Proper Noun Recognition. SEKE 2023: 57-62 - [i11]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 abs/2301.11535 (2023) - [i10]Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu:
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR abs/2302.02173 (2023) - [i9]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 abs/2311.06184 (2023) - [i8]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 abs/2311.06190 (2023) - [i7]Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu:
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification. CoRR abs/2312.07961 (2023) - 2022
- [j67]Daohua Yu, Xin Zhou, Yu Pan, Zhendong Niu, Huafei Sun:
Application of Statistical K-Means Algorithm for University Academic Evaluation. Entropy 24(7): 1004 (2022) - [j66]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): 155013292211004 (2022) - [j65]Shanshan Wan, Ying Liu, Dongwei Qiu, James Chambua, Zhendong Niu:
A dual learning-based recommendation approach. Knowl. Based Syst. 254: 109551 (2022) - [j64]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): 26425-26442 (2022) - [j63]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): 3737-3755 (2022) - [j62]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): 5125-5137 (2022) - [c111]Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu:
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. AAAI 2022: 4030-4038 - [i6]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 abs/2209.00654 (2022) - [i5]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 abs/2210.03093 (2022) - 2021
- [j61]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): 95-135 (2021) - [j60]James Chambua, Zhendong Niu:
Review text based rating prediction approaches: preference knowledge learning, representation and utilization. Artif. Intell. Rev. 54(2): 1171-1200 (2021) - [j59]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: 104066 (2021) - [j58]Jiameng Gao, Chunxia Zhang, Yanyan Xu, Meiqiu Luo, Zhendong Niu:
Hybrid microblog recommendation with heterogeneous features using deep neural network. Expert Syst. Appl. 167: 114191 (2021) - [j57]Zahid Younas Khan, Zhendong Niu:
CNN with depthwise separable convolutions and combined kernels for rating prediction. Expert Syst. Appl. 170: 114528 (2021) - [j56]Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo:
Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183: 115335 (2021) - [j55]Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, Zhendong Niu:
Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Gener. Comput. Syst. 117: 181-192 (2021) - [j54]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): 102564 (2021) - [j53]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: 106744 (2021) - [j52]Ping Qiu, Zhendong Niu:
TCIC_FS: Total correlation information coefficient-based feature selection method for high-dimensional data. Knowl. Based Syst. 231: 107418 (2021) - [j51]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): 737-753 (2021) - [i4]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 abs/2107.09288 (2021) - 2020
- [j50]Ally S. Nyamawe, Hui Liu, Nan Niu, Qasim Umer, Zhendong Niu:
Feature requests-based recommendation of software refactorings. Empir. Softw. Eng. 25(5): 4315-4347 (2020) - [j49]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: 323-332 (2020) - [j48]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: 338-346 (2020) - [j47]Zahid Younas Khan, Zhendong Niu, Abdallah Yousif:
Joint Deep Recommendation Model Exploiting Reviews and Metadata Information. Neurocomputing 402: 256-265 (2020) - [j46]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: 84-95 (2020) - [j45]Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu:
Automatic generation of meteorological briefing by event knowledge guided summarization model. Knowl. Based Syst. 192: 105379 (2020) - [j44]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): 1395-1404 (2020) - [j43]Shanshan Wan, Zhendong Niu:
A Hybrid E-Learning Recommendation Approach Based on Learners' Influence Propagation. IEEE Trans. Knowl. Data Eng. 32(5): 827-840 (2020) - [c110]Yaoxin Nie, Linlin Zhu, Zhendong Niu:
An Auxiliary System for Calculating Effective Connectivity from Co-Activation Network Data. BIBM 2020: 1849-1855 - [c109]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: 4355-4363 - [c108]Yusen Wang, Kaize Shi, Zhendong Niu:
A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks. SEKE 2020: 489-492
2010 – 2019
- 2019
- [j42]Donglei Liu, Zhendong Niu, Chunxia Zhang, Jiadi Zhang:
Multi-Scale Deformable CNN for Answer Selection. IEEE Access 7: 164986-164995 (2019) - [j41]Abdallah Yousif, Zhendong Niu, John K. Tarus, Arshad Ahmad:
A survey on sentiment analysis of scientific citations. Artif. Intell. Rev. 52(3): 1805-1838 (2019) - [j40]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): 194-205 (2019) - [j39]Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao:
Modeling positive and negative feedback for improving document retrieval. Expert Syst. Appl. 120: 253-261 (2019) - [j38]James Chambua, Zhendong Niu, Yifan Zhu:
User preferences prediction approach based on embedded deep summaries. Expert Syst. Appl. 132: 87-98 (2019) - [j37]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: 195-205 (2019) - [j36]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): 461-476 (2019) - [j35]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): 152-165 (2019) - [c107]Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou:
Dense Procedure Captioning in Narrated Instructional Videos. ACL (1) 2019: 6382-6391 - [c106]Changjin Gong, Kaize Shi, Zhendong Niu:
Hierarchical Text-Label Integrated Attention Network for Document Classification. HPCCT/BDAI 2019: 254-260 - [c105]Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan:
Knowledge Aware Semantic Concept Expansion for Image-Text Matching. IJCAI 2019: 5182-5189 - [c104]Xueping Peng, Guodong Long, Shirui Pan, Jing Jiang, Zhendong Niu:
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records. IJCNN 2019: 1-8 - [c103]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: 1652-1658 - [c102]Ally S. Nyamawe, Hui Liu, Nan Niu, Qasim Umer, Zhendong Niu:
Automated Recommendation of Software Refactorings Based on Feature Requests. RE 2019: 187-198 - 2018
- [j34]Ally S. Nyamawe, Hui Liu, Zhendong Niu, Wentao Wang, Nan Niu:
Recommending Refactoring Solutions Based on Traceability and Code Metrics. IEEE Access 6: 49460-49475 (2018) - [j33]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: 58990-59000 (2018) - [j32]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): 21-48 (2018) - [j31]Zeeshan Ahmed Nizamani, Hui Liu, David M. Chen, Zhendong Niu:
Automatic approval prediction for software enhancement requests. Autom. Softw. Eng. 25(2): 347-381 (2018) - [j30]Chuan-Ming Liu, Zhendong Niu, Kuan-Teng Liao:
Mechanisms to improve clustering uncertain data with UKmeans. Data Knowl. Eng. 116: 61-79 (2018) - [j29]Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao:
Concept coupling learning for improving concept lattice-based document retrieval. Eng. Appl. Artif. Intell. 69: 65-75 (2018) - [j28]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: 629-638 (2018) - [j27]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): 58-62 (2018) - [j26]Shanshan Wan, Zhendong Niu:
An e-learning recommendation approach based on the self-organization of learning resource. Knowl. Based Syst. 160: 71-87 (2018) - [j25]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): 4093 (2018) - [j24]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): 2449-2461 (2018) - [j23]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): 342-349 (2018) - [c101]Abdallah Yousif, Zhendong Niu, Ally S. Nyamawe, Yating Hu:
Improving Citation Sentiment and Purpose Classification Using Hybrid Deep Neural Network Model. AISI 2018: 327-336 - [c100]Hengyi Wang, Zhendong Niu:
Climate Event Detection Algorithm Based on Climate Category Word Embedding. ICBDC 2018: 71-77 - [c99]Jun Qian, Zhendong Niu, Chongyang Shi:
Sentiment Analysis Model on Weather Related Tweets with Deep Neural Network. ICMLC 2018: 31-35 - [c98]Khadidja Bakhti, Zhendong Niu, Abdallah Yousif, Ally S. Nyamawe:
Citation Function Classification Based on Ontologies and Convolutional Neural Networks. LTEC@KMO 2018: 105-115 - [c97]Abdallah Yousif, Zhendong Niu, Ally S. Nyamawe:
Citation Classification Using Multitask Convolutional Neural Network Model. KSEM (2) 2018: 232-243 - [c96]Lei Zhao, Chunxia Zhang, Xi Zhang, Yating Hu, Zhendong Niu:
A Deep Reinforced Training Method for Location-Based Image Captioning. PRICAI (1) 2018: 878-890 - [c95]Wentao Wang, Nan Niu, Hui Liu, Zhendong Niu:
Enhancing Automated Requirements Traceability by Resolving Polysemy. RE 2018: 40-51 - [c94]Khadidja Bakhti, Zhendong Niu, Ally S. Nyamawe:
A New Scheme for Citation Classification based on Convolutional Neural Networks. SEKE 2018: 131-130 - 2017
- [j22]John K. Tarus, Zhendong Niu, Abdallah Yousif:
A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining. Future Gener. Comput. Syst. 72: 37-48 (2017) - [c93]Chunxia Zhang, Xiuzhang Yang, Shuliang Wang, Zhendong Niu, Yu Guo:
A multi-view fusion approach for entity alignment. IEEE ICCI*CC 2017: 388-393 - [c92]Chunxia Zhang, Yu Guo, Jiayu Wu, Shuliang Wang, Zhendong Niu, Wen Cheng:
An Approach for Identifying Author Profiles of Blogs. ADMA 2017: 475-487 - [c91]Chunxia Zhang, Sen Wang, Jiayu Wu, Zhendong Niu:
Authorship Identification of Source Codes. APWeb/WAIM (1) 2017: 282-296 - [c90]Yue Zheng, Donglei Liu, Qiufeng Ren, Boyao Sun, Zhendong Niu:
Object Tracking via Null-space Discriminative Projections and Sparse Representation. ICVIP 2017: 243-248 - [c89]John K. Tarus, Zhendong Niu:
A Survey of Learner and Researcher Related Challenges in E-learning Recommender Systems. LTEC@KMO 2017: 122-132 - [c88]Mengqiao Han, Ou Wu, Zhendong Niu:
Unsupervised Automatic Text Style Transfer Using LSTM. NLPCC 2017: 281-292 - [c87]Donglei Liu, Yipeng Su, Xudong Li, Zhendong Niu:
A Novel Community Detection Method Based on Cluster Density Peaks. NLPCC 2017: 515-525 - [c86]Gaokun Dai, Zhendong Niu:
Extractive Summarization via Overlap-Based Optimized Picking. WISE (1) 2017: 135-149 - 2016
- [j21]Hongping Fu, Zhendong Niu, Chunxia Zhang, Jing Ma, Jie Chen:
Visual Cortex Inspired CNN Model for Feature Construction in Text Analysis. Frontiers Comput. Neurosci. 10: 64 (2016) - [j20]Qiao Li, Zhendong Niu, Baihai Zhang, Lingguo Cui, Bin Wu:
Percolation Thresholds on Tree-Based Communities of Wireless Sensor Networks. Int. J. Networked Distributed Comput. 4(2): 75-84 (2016) - [j19]Hongping Fu, Zhendong Niu, Chunxia Zhang, Hanchao Yu, Jing Ma, Jie Chen, Yiqiang Chen, Junfa Liu:
ASELM: Adaptive semi-supervised ELM with application in question subjectivity identification. Neurocomputing 207: 599-609 (2016) - [j18]Shanshan Wan, Zhendong Niu:
A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm. Knowl. Based Syst. 103: 28-40 (2016) - [j17]Nan Niu, Xiaoyu Jin, Zhendong Niu, Jing-Ru C. Cheng, Ling Li, Mikhail Yu. Kataev:
A Clustering-Based Approach to Enriching Code Foraging Environment. IEEE Trans. Cybern. 46(9): 1962-1973 (2016) - [j16]Hui Liu, Qiurong Liu, Zhendong Niu, Yang Liu:
Dynamic and Automatic Feedback-Based Threshold Adaptation for Code Smell Detection. IEEE Trans. Software Eng. 42(6): 544-558 (2016) - [c85]Yaoxin Nie, Linlin Zhu, Yipeng Su, Xudong Li, Zhendong Niu:
Development of a computer-aided system for an effective brain connectivity network. BIBM 2016: 1703-1705 - [c84]Qi Zhang, Chongyang Shi, Ping Sun, Zhendong Niu:
Case-Based Classification on Hierarchical Structure of Formal Concept Analysis. ECAI 2016: 1758-1759 - [c83]Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang, Min Ye:
A Coupled User Clustering Algorithm for Web-based Learning Systems. EDM 2016: 175-182 - [c82]Jie Chen, Chunxia Zhang, Zhendong Niu:
Identifying Helpful Online Reviews with Word Embedding Features. KSEM 2016: 123-133 - [c81]Qiao Li, Zhendong Niu, Baihai Zhang, Lingguo Cui, Bin Wu:
Percolation thresholds on tree-based communities of wireless sensor networks. SNPD 2016: 267-273 - 2015
- [j15]Xiangyu Zhao, Zhendong Niu, Wei Chen, Chongyang Shi, Ke Niu, Donglei Liu:
A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. J. Intell. Inf. Syst. 44(3): 335-353 (2015) - [c80]Jie Chen, Zhendong Niu, Hongping Fu:
A Multi-news Timeline Summarization Algorithm Based on Aging Theory. APWeb 2015: 449-460 - [c79]Yaoxin Nie, Jieyao Wei, Linlin Zhu, Qian Zhou, Zhendong Niu:
Functional connectivity of Chinese characters processing: A meta-analysis. BIBM 2015: 1204-1208 - [c78]Yuan Gao, Hui Liu, Xiaozhong Fan, Zhendong Niu, Bridget Nyirongo:
Analyzing Refactorings' Impact on Regression Test Cases. COMPSAC 2015: 222-231 - [c77]Ghulam Mustafa, Zhendong Niu, Jie Chen:
Adapting MultiBoost ensemble for class imbalanced learning. CYBCONF 2015: 12-17 - [c76]Zhi Huang, Zhendong Niu, Donglei Liu, Wenjuan Niu, Wei Wang:
A Novel Method for Clustering Web Search Results with Wikipedia Disambiguation Pages. DASFAA Workshops 2015: 3-16 - [c75]Yali Cai, Zhendong Niu, Yingwang Wang, Ke Niu:
Learning Trend Analysis and Prediction Based on Knowledge Tracing and Regression Analysis. DASFAA Workshops 2015: 29-41 - [c74]Jie Chen, Zhendong Niu, Hongping Fu:
A Novel Knowledge Extraction Framework for Resumes Based on Text Classifier. WAIM 2015: 540-543 - 2014
- [j14]Sheng Huang, Zhendong Niu, Chongyang Shi:
Automatic construction of domain-specific sentiment lexicon based on constrained label propagation. Knowl. Based Syst. 56: 191-200 (2014) - [j13]Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding:
Authorship identification from unstructured texts. Knowl. Based Syst. 66: 99-111 (2014) - [j12]Nan Niu, Juha Savolainen, Zhendong Niu, Mingzhou Jin, Jing-Ru C. Cheng:
A Systems Approach to Product Line Requirements Reuse. IEEE Syst. J. 8(3): 827-836 (2014) - [j11]Nan Niu, Li Da Xu, Jing-Ru C. Cheng, Zhendong Niu:
Analysis of Architecturally Significant Requirements for Enterprise Systems. IEEE Syst. J. 8(3): 850-857 (2014) - [j10]Wei Chen, Zhendong Niu, Xiangyu Zhao, Yi Li:
A hybrid recommendation algorithm adapted in e-learning environments. World Wide Web 17(2): 271-284 (2014) - [c73]Shanshan Wan, Zhendong Niu:
Adaptive Learning Objects Assembly with compound constraints. ComComAP 2014: 34-39 - [c72]Xuejin Li, Zhendong Niu, Chunxia Zhang:
Towards Efficient Distributed SPARQL Queries on Linked Data. ICA3PP (2) 2014: 259-272 - [c71]Xuejin Li, Zhendong Niu, Chongyang Shi:
An agent-based linked data integration system. ICADIWT 2014: 113-117 - [c70]Ke Niu, Zhendong Niu, Donglei Liu, Xiangyu Zhao, Peipei Gu:
A Personalized User Evaluation Model for Web-Based Learning Systems. ICTAI 2014: 210-216 - [c69]Xuejin Li, Zhendong Niu, Chunxia Zhang, Junyue Cao:
A Federation Layer for Query Processing over the Web of Linked Data. PAAMS 2014: 347-350 - [c68]Juan Le, Zhendong Niu, Chunxia Zhang:
Question Classification Based on Fine-Grained PoS Annotation of Nouns and Interrogative Pronouns. PRICAI 2014: 680-693 - [c67]Nan Niu, Tanmay Bhowmik, Hui Liu, Zhendong Niu:
Traceability-enabled refactoring for managing just-in-time requirements. RE 2014: 133-142 - [c66]Xuejin Li, Zhendong Niu, Chunxia Zhang, Xiaoyang Wang:
LAW: Link-AWare Source Selection for Virtually Integrating Linked Data. TAAI 2014: 239-248 - [c65]Xiangyu Zhao, Zhendong Niu, Wentao Wang, Ke Niu, Wu Yuan:
Considering Rating as Probability Distribution of Attitude in Recommender System. WAIM Workshops 2014: 393-402 - [i3]Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu:
CMF: Coupled Matrix Factorization for Recommender Systems. CoRR abs/1404.7467 (2014) - 2013
- [j9]Hui Liu, Zhendong Niu, Zhiyi Ma, Weizhong Shao:
Identification of generalization refactoring opportunities. Autom. Softw. Eng. 20(1): 81-110 (2013) - [j8]Xiangyu Zhao, Zhendong Niu, Wei Chen:
Interest before liking: Two-step recommendation approaches. Knowl. Based Syst. 48: 46-56 (2013) - [c64]Xiaotian Jiang, Zhendong Niu, Jiamin Guo, Ghulam Mustafa, Zi-Han Lin, Baomi Chen, Qian Zhou:
Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering. ACML 2013: 87-99 - [c63]Xiangyu Zhao, Zhendong Niu, Wei Chen:
Opinion-Based Collaborative Filtering to Solve Popularity Bias in Recommender Systems. DEXA (2) 2013: 426-433 - [c62]Hongping Fu, Zhendong Niu, Chunxia Zhang, Lu Wang, Peng Jiang, Ji Zhang:
Classification of Opinion Questions. ECIR 2013: 714-717 - [c61]Bo Shu, Zhendong Niu, Chunxia Zhang, Xiaotian Jiang, Hongping Fu, Wei Chen:
A Novel Recommendation Relevancy Measure for Collaborative Filtering. ICWL Workshops 2013: 32-41 - [c60]Qing Yang, Zhendong Niu, Chunxia Zhang, Sheng Huang:
Building Enhanced Link Context by Logical Sitemap. KSEM 2013: 36-47 - [c59]Chunxia Zhang, Zhendong Niu, Chongyang Shi, Mengdi Tan, Hongping Fu, Sheng Xu:
Representation and Verification of Attribute Knowledge. KSEM 2013: 473-482 - [c58]Sheng Huang, Zhendong Niu, Yulong Shi:
Product Features Categorization Using Constrained Spectral Clustering. NLDB 2013: 285-290 - [c57]Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu:
Extracting Fine-Grained Entities Based on Coordinate Graph. NLDB 2013: 367-371 - [c56]Abdoulahi Boubacar, Zhendong Niu:
Concept Based Query Expansion. SKG 2013: 198-201 - [c55]Jie Chen, Zhendong Niu, Yulong Shi, Changmin Zhang, Weiyin Li:
DLDE at web track: ad-hoc task. TREC 2013 - [c54]Bo Shu, Wei Chen, Zhendong Niu, Changmin Zhang, Xiaotian Jiang:
A Novel Method for Identifying Optimal Number of Clusters with Marginal Differential Entropy. WAIM Workshops 2013: 371-382 - [c53]Fangfang Li, Guandong Xu, Longbing Cao, Xiaozhong Fan, Zhendong Niu:
CGMF: Coupled Group-Based Matrix Factorization for Recommender System. WISE (1) 2013: 189-198 - [i2]Rongyue Mei, Chunxia Zhang, Zhendong Niu, Sheng Xu, Junjiang Zhang, Hongping Fu:
.BIT at TAC 2013 Slot Filler Validation Track. TAC 2013 - [i1]Sheng Xu, Chunxia Zhang, Zhendong Niu, Rongyue Mei, Junpeng Chen, Junjiang Zhang, Hongping Fu:
BIT's Slot-Filling Method for TAC-KBP 2013. TAC 2013 - 2012
- [j7]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu:
A Relation Pattern-Driven Probability Model for Related Entity Retrieval. Int. J. Knowl. Syst. Sci. 3(1): 64-77 (2012) - [j6]Xueping Peng, Zhendong Niu, Sheng Huang, Yumin Zhao:
Personalized Web Search Using Clickthrough Data and Web Page Rating. J. Comput. 7(10): 2578-2584 (2012) - [j5]Hui Liu, Zhiyi Ma, Weizhong Shao, Zhendong Niu:
Schedule of Bad Smell Detection and Resolution: A New Way to Save Effort. IEEE Trans. Software Eng. 38(1): 220-235 (2012) - [c52]Hui Liu, Yuan Gao, Zhendong Niu:
An Initial Study on Refactoring Tactics. COMPSAC 2012: 213-218 - [c51]Chunxia Zhang, Zhendong Niu, Peng Jiang, Hongping Fu:
Domain-specific term extraction from free texts. FSKD 2012: 1290-1293 - [c50]Peipei Gu, Zhendong Niu, Xuting Chen, Wei Chen:
A test sheet generating algorithm based on intelligent genetic algorithm and hierarchical planning. ICDIP 2012: 83343S - [c49]Sheng Huang, Xinlan Liu, Xueping Peng, Zhendong Niu:
Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining. ICDM Workshops 2012: 680-686 - 2011
- [j4]Sui Man Lai, Zhiguo Zhang, Yeung Sam Hung, Zhendong Niu, Chunqi Chang:
A Chromatic Transient Visual Evoked Potential Based Encoding/Decoding Approach for Brain-Computer Interface. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(4): 578-589 (2011) - [j3]Hui Liu, Zhendong Niu, Zhiyi Ma, Weizhong Shao:
Suffix tree-based approach to detecting duplications in sequence diagrams. IET Softw. 5(4): 385-397 (2011) - [c48]Yumin Zhao, Zhendong Niu, Xueping Peng, Lin Dai:
A Discretization Algorithm of Numerical Attributes for Digital Library Evaluation Based on Data Mining Technology. ICADL 2011: 70-76 - [c47]Peipei Gu, Zhendong Niu, Xuting Chen, Wei Chen:
A Personalized Genetic Algorithm Approach for Test Sheet Assembling. ICWL 2011: 164-173 - [c46]Yi Li, Zhendong Niu, Wei Chen, Wenshi Zhang:
Combining Collaborative Filtering and Sequential Pattern Mining for Recommendation in E-Learning Environment. ICWL 2011: 305-313 - [c45]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu:
A Probability Model for Related Entity Retrieval Using Relation Pattern. KSEM 2011: 318-330 - [c44]Sheng Huang, Xueping Peng, Zhendong Niu:
News topic detection based on hierarchical clustering and named entity. NLPKE 2011: 280-284 - 2010
- [j2]Lanlan Yin, Guixian Xu, Manabu Torii, Zhendong Niu, José M. Maisog, Cathy H. Wu, Zhang-Zhi Hu, Hongfang Liu:
Document classification for mining host pathogen protein-protein interactions. Artif. Intell. Medicine 49(3): 155-160 (2010) - [j1]Dongping Gao, Zhendong Niu, Baosheng Zhang, Nanning Zhang:
An Approach for Designing and Implementing Evidence Management Systems. Intell. Inf. Manag. 2(10): 613-617 (2010) - [c43]Guixian Xu, Zhendong Niu, Xu Gao, Yunjuan Cao, Yumin Zhao:
Active Learning Algorithm for Threshold of Decision Probability on Imbalanced Text Classification Based on Protein-Protein Interaction Documents. DSDE 2010: 78-82 - [c42]Yumin Zhao, Zhendong Niu, Yujuan Cao, Lin Dai:
Research on Evaluation of Digital Library. DSDE 2010: 123-126 - [c41]Yumin Zhao, Zhendong Niu, Lin Dai:
Evaluation Algorithm about Digital Library Collections Based on Data Mining Technology. ICADL 2010: 266-267 - [c40]Chongyang Shi, Zhendong Niu:
A novel similarity evaluating model based on RFCA and ICS. ICDIM 2010: 114-119 - [c39]Weiqiang Wang, Zhendong Niu:
Data Analysis in Los Angeles Long Beach with Seasonal Time Series Model. ICDM Workshops 2010: 113-120 - [c38]Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, Qing Yang:
An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews. ICDM 2010: 256-265 - [c37]Fusheng Jin, Zhendong Niu, Haiyang Lang:
A Pattern Based Anti-Fraud Method in C2C Ecommerce Environment. ICEE 2010: 242-244 - [c36]Peng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu:
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model. PAKDD (2) 2010: 249-260 - [c35]Chongyang Shi, Zhendong Niu, Xiyi Cheng:
Lattice-Context Based Digital Paper Search. SEKE 2010: 315-318 - [c34]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu:
BIT at TREC 2010 Blog Track: Faceted Blog Distillation. TREC 2010 - [c33]Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu:
Reconstruct Logical Hierarchical Sitemap for Related Entity Finding. TREC 2010 - [c32]Chongyang Shi, Zhendong Niu, Tao Wang:
Considering the Relationship between RST and FCA. WKDD 2010: 224-227
2000 – 2009
- 2009
- [c31]Limei Yang, Hui Liu, Zhendong Niu:
Identifying Fragments to be Extracted from Long Methods. APSEC 2009: 43-49 - [c30]Peng Jiang, Chunxia Zhang, Guisuo Guo, Zhendong Niu, Dongping Gao:
A K-means Approach Based on Concept Hierarchical Tree for Search Results Clustering. FSKD (1) 2009: 380-386 - [c29]Kun Zhao, Zhendong Niu, Yumin Zhao, Jun Yang:
Group-Based Search in Unstructured Peer-to-Peer Networks. GLOBECOM 2009: 1-6 - [c28]Xiao-dan Zhang, Zhendong Niu:
Study on Decision Classification Fusion Model. HIS (3) 2009: 107-109 - [c27]Xiaomei Xu, Zhendong Niu:
Automatic Document Tagging in Social Semantic Digital Library. ICONIP (2) 2009: 344-351 - [c26]Chongyang Shi, Zhendong Niu:
Combining ICS semantic factor into concept similarity evaluating based on RFCA. iiWAS 2009: 502-506 - [c25]Guixian Xu, Zhendong Niu, Peter Uetz, Xu Gao, Xuping Qin, Hongfang Liu:
Semi-supervised Learning of Text Classification on Bacterial Protein-Protein Interaction Documents. IJCBS 2009: 263-270 - [c24]Hui Liu, Limei Yang, Zhendong Niu, Zhiyi Ma, Weizhong Shao:
Facilitating software refactoring with appropriate resolution order of bad smells. ESEC/SIGSOFT FSE 2009: 265-268 - [c23]Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu:
BIT at TREC 2009 Faceted Blog Distillation Task. TREC 2009 - [c22]Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu:
Experiments on Related Entity Finding Track at TREC 2009. TREC 2009 - [c21]Yunjuan Cao, Xueping Peng, Kun Zhao, Zhendong Niu, Gx Xu, Weiqiang Wang:
Query Expansion Based on Query Log and Small World Characteristic. WISE 2009: 573-580 - 2008
- [c20]Yujuan Cao, Zhendong Niu, Weiqiang Wang, Kun Zhao:
The study on Detecting Near-Duplicate WebPages. CIT 2008: 95-100 - [c19]Xiangjun Dong, Zhendong Niu, Donghua Zhu, Zhiyun Zheng, Qiuting Jia:
Mining Interesting Infrequent and Frequent Itemsets Based on MLMS Model. ADMA 2008: 444-451 - [c18]Chunxia Zhang, Cungen Cao, Zhendong Niu, Qing Yang:
A Transformation-Based Error-Driven Learning Approach for Chinese Temporal Information Extraction. AIRS 2008: 663-669 - [c17]Yujuan Cao, Zhendong Niu, Liuling Dai, Yuming Zhao:
Extraction of Informative Blocks from Web Pages. ALPIT 2008: 544-549 - [c16]Guixian Xu, Lanlan Yin, Manabu Torii, Zhendong Niu, Cathy H. Wu, Zhang-Zhi Hu, Hongfang Liu:
Document Classification for Mining Host Pathogen Protein-Protein Interactions. BIBM 2008: 461-466 - [c15]Fusheng Jin, Zhendong Niu, Quanxin Zhang, Haiyang Lang, Kai Qin:
A User Reputation Model for DLDE Learning 2.0 Community. ICADL 2008: 61-70 - [c14]Xiaodan Zhang, Zhendong Niu:
Neural Network Integration Fusion Model and Application. ISDA (1) 2008: 213-215 - [c13]Chunxia Zhang, Guiping Wang, Zhendong Niu:
A formal ontology for temporal entities and its application in knowledge extraction. JCDL 2008: 476 - [c12]Xiaomei Xu, Feifei Zhang, Zhendong Niu:
An Ontology-Based Query System for Digital Libraries. PACIIA (1) 2008: 222-226 - 2007
- [c11]Xiangjun Dong, Zhendong Niu, Xuelin Shi, Xiaodan Zhang, Donghua Zhu:
Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets. ADMA 2007: 122-133 - [c10]Lizhen Liu, Minhua Wu, Li Xiong, Zhendong Niu, Hantao Song:
Cooperative Work for Agent-Based Heterogeneous Information Integrated Retrieval in Digital Libraries. CSCWD 2007: 395-399 - [c9]Xueping Peng, Zhendong Niu:
The Research of the Personalization. Web Intelligence/IAT Workshops 2007: 107-110 - [c8]Chunxia Zhang, Cungen Cao, Zhendong Niu:
A Bootstrapping Approach for Chinese Main Verb Identification. KES (1) 2007: 580-587 - [c7]Chunxia Zhang, Cungen Cao, Yuefei Sui, Zhendong Niu:
A Chinese Time Ontology. KSEM 2007: 575-580 - [c6]Xiaodan Zhang, Zhendong Niu, Xiaomei Xu, Kun Zhao, Yunjuan Cao:
The Research of the Sensor Fusion Model Based on Fuzzy Comprehensive Theory. LSMS (1) 2007: 396-402 - 2006
- [c5]Youbo Wang, Zhiguang Tian, Xinyan Bi, Zhendong Niu:
Efficient Multiplier over Finite Field Represented in Type II Optimal Normal Basis. ISDA (1) 2006: 1132-1128 - 2004
- [c4]Zhendong Niu, Mingkai Dong, Jie Zhang:
Culture Grid and Its Key Technologies. ICADL 2004: 644 - [c3]Lizhe Song, Zhendong Niu, Hantao Song, Zhengtao Yu, Xuelin Shi:
Usage of Hybrid Model Based on Concepts Correlations in Adaption to Changes of User's Interest. ICADL 2004: 653 - 2000
- [c2]Massimo Paolucci, Zhendong Niu, Katia P. Sycara, Constantine Domashnev, Sean Owens, Martin Van Velsen:
Matchmaking to Support Intelligent Agents for Portfolio Management. AAAI/IAAI 2000: 1125-1126
1990 – 1999
- 1998
- [c1]Kurt VanLehn, Zhendong Niu, Stephanie Siler, Abigail S. Gertner:
Student Modeling from Conversational Test Data: A Bayesian Approach Without Priors. Intelligent Tutoring Systems 1998: 434-443
Coauthor Index
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