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2020 – today
- 2025
- [j26]Lei Chen, Qifeng Zhou, Debo Zhao:
k-plex-based community detection with graph neural networks. Inf. Sci. 689: 121509 (2025) - 2024
- [j25]Wanyuan Gong, Qifeng Zhou:
Contrastive learning-based few-shot relation extraction with open-book datastore. Appl. Soft Comput. 167: 112302 (2024) - [j24]Ge Yang, Qifeng Zhou:
Visual detection for mobile phone surface defects based on semisupervised learning. Multim. Tools Appl. 83(31): 76367-76387 (2024) - [c31]Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He, Jiajun Chen:
A Hierarchical Network for Multimodal Document-Level Relation Extraction. AAAI 2024: 18408-18416 - [c30]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. MICCAI (4) 2024: 373-383 - [c29]Xinxi Jiang, Xiang Li, Qifeng Zhou, Qing Wang:
GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text. WWW (Companion Volume) 2024: 999-1002 - [i2]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. CoRR abs/2403.08967 (2024) - [i1]Yaohui Li, Qifeng Zhou, Haoxing Chen, Jianbing Zhang, Xinyu Dai, Hao Zhou:
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning. CoRR abs/2404.09778 (2024) - 2023
- [c28]Shen Yang, Qifeng Zhou, Qing Wang:
Clustering of Bandit with Frequency-Dependent Information Sharing. ECIR (2) 2023: 274-287 - [c27]Hao Liang, Qifeng Zhou:
Document-Level Relation Extraction with Distance-Dependent Bias Network and Neighbors Enhanced Loss. ECIR (1) 2023: 605-621 - 2022
- [j23]Chaojie An, Qifeng Zhou, Shen Yang:
A reinforcement learning guided adaptive cost-sensitive feature acquisition method. Appl. Soft Comput. 117: 108437 (2022) - [j22]Ge Yang, Haijian Lai, Qifeng Zhou:
Visual defects detection model of mobile phone screen. J. Intell. Fuzzy Syst. 43(4): 4335-4349 (2022) - 2021
- [j21]Qifeng Zhou, Xiang Liu, Qing Wang:
Interpretable duplicate question detection models based on attention mechanism. Inf. Sci. 543: 259-272 (2021) - [j20]Yongxuan Lai, Songyao He, Zhijie Lin, Fan Yang, Qifeng Zhou, Xiaofang Zhou:
An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble. IEEE Trans. Knowl. Data Eng. 33(5): 1877-1890 (2021) - [j19]Bin Xia, Tao Li, Qifeng Zhou, Qianmu Li, Hong Zhang:
An Effective Classification-Based Framework for Predicting Cloud Capacity Demand in Cloud Services. IEEE Trans. Serv. Comput. 14(4): 944-956 (2021) - [c26]Lei Chen, Junchi Liu, Xueyuan Zhang, Qifeng Zhou:
PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification. ICCSE 2021: 518-523 - [c25]Zhou Lin, Qifeng Zhou, Langcai Cao:
Two-Stage Encoder for Pointer-Generator Network with Pretrained Embeddings. ICCSE 2021: 524-529 - 2020
- [c24]Yiming Wang, Linkai Luo, Qifeng Zhou, Junsong Lin, Zixuan Wu:
A Recommendation for Flight Extra Fuel Based on Random Forest. ICCPR 2020: 525-529
2010 – 2019
- 2019
- [j18]Zhimin Tang, Shaohui Li, Linkai Luo, Min Fu, Hong Peng, Qifeng Zhou:
Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers. IEEE Access 7: 24775-24787 (2019) - [j17]Ruifeng Yuan, Jinxin Ni, Qifeng Zhou:
Generating Multimedia Storyline for Effective Disaster Information Awareness. IEEE Access 7: 47401-47410 (2019) - [j16]Qifeng Zhou, Ruyuan Han, Tao Li, Bin Xia:
Joint prediction of time series data in inventory management. Knowl. Inf. Syst. 61(2): 905-929 (2019) - [j15]Ruifeng Yuan, Qifeng Zhou, Wubai Zhou:
dTexSL: A dynamic disaster textual storyline generating framework. World Wide Web 22(5): 1913-1933 (2019) - [c23]Chaojie An, Qifeng Zhou:
A Cost-Sensitive Feature Selection Method for High-Dimensional Data. ICCSE 2019: 1089-1094 - 2018
- [j14]Yongxuan Lai, Fan Yang, Jinsong Su, Qifeng Zhou, Tian Wang, Lu Zhang, Yifan Xu:
Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks. Sensors 18(1): 82 (2018) - [c22]Qifeng Zhou, Maming Wang, Jinxin Ni, Yunyang Ye, Wangda Zuo:
DdBB: A Data-driven Framework for Building Energy Use Benchmarking. ICIA 2018: 716-721 - [c21]Yijing Cheng, Qifeng Zhou, Yongxuan Lai:
TaxiC: A Taxi Route Recommendation Method Based on Urban Traffic Charge Heat Map. ICSOC Workshops 2018: 322-334 - 2017
- [j13]Bin Xia, Zhen Ni, Tao Li, Qianmu Li, Qifeng Zhou:
VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network. Expert Syst. Appl. 83: 18-29 (2017) - [j12]Fan Yang, Tao Li, Qifeng Zhou, Han Xiao:
Cluster ensemble selection with constraints. Neurocomputing 235: 59-70 (2017) - [j11]Tao Li, Chunqiu Zeng, Wubai Zhou, Wei Xue, Yue Huang, Zheng Liu, Qifeng Zhou, Bin Xia, Qing Wang, Wentao Wang, Xiaolong Zhu:
FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. Knowl. Inf. Syst. 52(2): 411-443 (2017) - [j10]Gang Han, Yu Yu, Xiangxue Li, Qifeng Zhou, Dong Zheng, Hui Li:
1-Resilient Boolean Functions on Even Variables with Almost Perfect Algebraic Immunity. Secur. Commun. Networks 2017: 6268230:1-6268230:9 (2017) - [c20]Qifeng Zhou, Bin Xia, Wei Xue, Chunqiu Zeng, Ruyuan Han, Tao Li:
An Advanced Inventory Data Mining System for Business Intelligence. BigDataService 2017: 210-217 - [c19]Qifeng Zhou, Xiang Liu:
A swarm optimization algorithm for practical container loading problem. IECON 2017: 5690-5695 - [c18]Xin Liu, Qifeng Zhou, Fan Yang:
Leaf node-level ensemble pruning approaches based on node-sample correlation for random forest. IECON 2017: 5859-5864 - [c17]Qifeng Zhou, Ruifeng Yuan, Tao Li:
An improved textual storyline generating framework for disaster information management. ISKE 2017: 1-8 - [c16]Yongxuan Lai, Lv Zheng, Tian Wang, Fang Yang, Qifeng Zhou:
Cloud-Assisted Data Storage and Query Processing at Vehicular Ad-Hoc Sensor Networks. SpaCCS Workshops 2017: 692-702 - 2016
- [j9]Qianmu Li, Tao Li, Bin Xia, Ming Ni, Xiaoqian Liu, Qifeng Zhou, Yong Qi:
FIRST: Face Identity Recognition in SmarT Bank. Int. J. Semantic Comput. 10(4): 569- (2016) - [j8]Qifeng Zhou, Hao Zhou, Tao Li:
Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features. Knowl. Based Syst. 95: 1-11 (2016) - [c15]Tao Li, Wubai Zhou, Chunqiu Zeng, Qing Wang, Qifeng Zhou, Dingding Wang, Jia Xu, Yue Huang, Wentao Wang, Minjing Zhang, Steven Luis, Shu-Ching Chen, Naphtali Rishe:
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. CIKM 2016: 1593-1602 - [c14]Ruyuan Han, Qifeng Zhou:
Data-driven solutions for power system fault analysis and novelty detection. ICCSE 2016: 86-91 - [c13]Fan Yang, Piao Peng, Qifeng Zhou:
A preliminary study on class probability estimation for random forest using kernel density estimators. ICCSE 2016: 118-122 - [c12]Hong Peng, Shuyi Hong, Linkai Luo, Qifeng Zhou, Xiaoqin Huang:
A New Approach of Matrix Factorization and Its Application in Recommender Systems. ICMLA 2016: 682-686 - [c11]Feifei Xia, Zhen Liu, Qifeng Zhou:
A Data Mining Framework for Tea Price Evaluation. ICSC 2016: 366-369 - 2015
- [j7]Qifeng Zhou, Hao Zhou, Qingqing Zhou, Fan Yang, Linkai Luo, Tao Li:
Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory. Appl. Soft Comput. 36: 368-374 (2015) - [j6]Qifeng Zhou, Hao Zhou, Yongpeng Ning, Fan Yang, Tao Li:
Two approaches for novelty detection using random forest. Expert Syst. Appl. 42(10): 4840-4850 (2015) - [c10]Linkai Luo, Ling-Jun Ye, Qifeng Zhou, Hong Peng:
A Support Vector Classification Model with Partial Empirical Risks Given. ICMLA 2015: 570-575 - [c9]Qifeng Zhou, Ruyuan Han, Tao Li:
A Two-Step Dynamic Inventory Forecasting Model for Large Manufacturing. ICMLA 2015: 749-753 - [c8]Qifeng Zhou, Hao Zhou, Yimin Zhu, Tao Li:
Data-driven solutions for building environmental impact assessment. ICSC 2015: 316-319 - [c7]Qifeng Zhou, Bin Xia, Yexi Jiang, Qianmu Li, Tao Li:
A Classification-Based Demand Trend Prediction Model in Cloud Computing. WISE (2) 2015: 442-457 - 2014
- [c6]Qifeng Zhou, Jianchao Ding, Yongpeng Ning, Linkai Luo, Tao Li:
Stable feature selection with ensembles of multi-reliefF. ICNC 2014: 742-747 - 2013
- [j5]Guifang Shao, Fan Yang, Qian Zhang, Qifeng Zhou, Linkai Luo:
Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 181-192 (2013) - 2012
- [j4]Qingqing Zhou, Qifeng Zhou, Yongpeng Ning, Fan Yang, Jiayan Lei, Run Tian, Minda Liu:
A Comparison of Pattern Classification Approaches for Structural Damage Identification. J. Digit. Inf. Manag. 10(2): 126-130 (2012) - 2011
- [j3]Linkai Luo, Dengfeng Huang, Ling-Jun Ye, Qifeng Zhou, Guifang Shao, Hong Peng:
Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 122-129 (2011) - 2010
- [j2]Qifeng Zhou, Wencai Hong, Linkai Luo, Fan Yang:
Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data. J. Convergence Inf. Technol. 5(6): 161-170 (2010) - [j1]Linkai Luo, Dengfeng Huang, Hong Peng, Qifeng Zhou, Guifang Shao, Fan Yang:
A New Parameter Selection Method for Support Vector Machine Based on the Decision Value. J. Convergence Inf. Technol. 5(8): 36-41 (2010)
2000 – 2009
- 2009
- [c5]Guifang Shao, Hong Mi, Qifeng Zhou, Linkai Luo:
Noise Estimation and Reduction in Microarray Images. CSIE (1) 2009: 564-568 - 2008
- [c4]Linkai Luo, Ting Liu, Hong Peng, Qifeng Zhou:
Polynomial Radial Base Function: A New Local Similarity Measure. ICNC (2) 2008: 116-119 - 2006
- [c3]Linkai Luo, Chengde Lin, Hong Peng, Qifeng Zhou:
A Study on Piecewise Polynomial Smooth Approximation to the Plus Function. ICARCV 2006: 1-6 - [c2]Linkai Luo, Chengde Lin, Hong Peng, Qifeng Zhou:
A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem. ICARCV 2006: 1-5 - [c1]Qifeng Zhou, Chengde Lin:
Credit Risk Assessment in Commercial Banks Based on Fuzzy Support Vector Machines. ICARCV 2006: 1-4
Coauthor Index
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