A Study on Piecewise Polynomial Smooth Approximation to the Plus Function. - Linkai Luo; Chengde Lin; Hong Peng; Qifeng Zhou (ICARCV, 2006)

A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem. - Linkai Luo; Chengde Lin; Hong Peng; Qifeng Zhou (ICARCV, 2006)

Credit Risk Assessment in Commercial Banks Based on Fuzzy Support Vector Machines. - Qifeng Zhou; Chengde Lin (ICARCV, 2006)

Polynomial Radial Base Function: A New Local Similarity Measure. - Linkai Luo; Ting Liu; Hong Peng; Qifeng Zhou (ICNC (2), 2008)

Noise Estimation and Reduction in Microarray Images. - Guifang Shao; Hong Mi; Qifeng Zhou; Linkai Luo (CSIE (1), 2009)

A New Parameter Selection Method for Support Vector Machine Based on the Decision Value. - Linkai Luo; Dengfeng Huang; Hong Peng; Qifeng Zhou; Guifang Shao; Fan Yang 010 (J. Convergence Inf. Technol., 2010)

Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data. - Qifeng Zhou; Wencai Hong; Linkai Luo; Fan Yang 010 (J. Convergence Inf. Technol., 2010)

Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection. - Linkai Luo; Dengfeng Huang; Ling-Jun Ye; Qifeng Zhou; Guifang Shao; Hong Peng (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

A Comparison of Pattern Classification Approaches for Structural Damage Identification. - Qingqing Zhou; Qifeng Zhou; Yongpeng Ning; Fan Yang 010; Jiayan Lei; Run Tian; Minda Liu (J. Digit. Inf. Manag., 2012)

Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images. - Guifang Shao; Fan Yang 010; Qian Zhang 005; Qifeng Zhou; Linkai Luo (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Stable feature selection with ensembles of multi-reliefF. - Qifeng Zhou; Jianchao Ding; Yongpeng Ning; Linkai Luo; Tao Li 001 (ICNC, 2014)

A Support Vector Classification Model with Partial Empirical Risks Given. - Linkai Luo; Ling-Jun Ye; Qifeng Zhou; Hong Peng (ICMLA, 2015)

A Two-Step Dynamic Inventory Forecasting Model for Large Manufacturing. - Qifeng Zhou; Ruyuan Han; Tao Li 001 (ICMLA, 2015)

Data-driven solutions for building environmental impact assessment. - Qifeng Zhou; Hao Zhou; Yimin Zhu; Tao Li 001 (ICSC, 2015)

A Classification-Based Demand Trend Prediction Model in Cloud Computing. - Qifeng Zhou; Bin Xia 003; Yexi Jiang; Qianmu Li; Tao Li 001 (WISE (2), 2015)

Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory. - Qifeng Zhou; Hao Zhou; Qingqing Zhou; Fan Yang 010; Linkai Luo; Tao Li 001 (Appl. Soft Comput., 2015)

Two approaches for novelty detection using random forest. - Qifeng Zhou; Hao Zhou; Yongpeng Ning; Fan Yang 010; Tao Li 001 (Expert Syst. Appl., 2015)

DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. - Tao Li 001; Wubai Zhou; Chunqiu Zeng; Qing Wang 016; Qifeng Zhou; Dingding Wang 001; Jia Xu 003; Yue Huang; Wentao Wang 006; Minjing Zhang; Steven Luis; Shu-Ching Chen; et al. (CIKM, 2016)

Data-driven solutions for power system fault analysis and novelty detection. - Ruyuan Han; Qifeng Zhou (ICCSE, 2016)

A preliminary study on class probability estimation for random forest using kernel density estimators. - Fan Yang 010; Piao Peng; Qifeng Zhou (ICCSE, 2016)

A New Approach of Matrix Factorization and Its Application in Recommender Systems. - Hong Peng; Shuyi Hong; Linkai Luo; Qifeng Zhou; Xiaoqin Huang (ICMLA, 2016)

A Data Mining Framework for Tea Price Evaluation. - Feifei Xia; Zhen Liu; Qifeng Zhou (ICSC, 2016)

FIRST: Face Identity Recognition in SmarT Bank. - Qianmu Li; Tao Li 001; Bin Xia 003; Ming Ni; Xiaoqian Liu; Qifeng Zhou; Yong Qi (Int. J. Semantic Comput., 2016)

Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features. - Qifeng Zhou; Hao Zhou; Tao Li 001 (Knowl. Based Syst., 2016)

An Advanced Inventory Data Mining System for Business Intelligence. - Qifeng Zhou; Bin Xia 003; Wei Xue; Chunqiu Zeng; Ruyuan Han; Tao Li 001 (BigDataService, 2017)

Leaf node-level ensemble pruning approaches based on node-sample correlation for random forest. - Xin Liu; Qifeng Zhou; Fan Yang 010 (IECON, 2017)

A swarm optimization algorithm for practical container loading problem. - Qifeng Zhou; Xiang Liu (IECON, 2017)

An improved textual storyline generating framework for disaster information management. - Qifeng Zhou; Ruifeng Yuan; Tao Li 001 (ISKE, 2017)

Cloud-Assisted Data Storage and Query Processing at Vehicular Ad-Hoc Sensor Networks. - Yongxuan Lai; Lv Zheng; Tian Wang 001; Fang Yang; Qifeng Zhou (SpaCCS Workshops, 2017)

VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network. - Bin Xia 003; Zhen Ni; Tao Li 001; Qianmu Li; Qifeng Zhou (Expert Syst. Appl., 2017)

Cluster ensemble selection with constraints. - Fan Yang 010; Tao Li 001; Qifeng Zhou; Han Xiao (Neurocomputing, 2017)

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. - Tao Li 001; Chunqiu Zeng; Wubai Zhou; Wei Xue; Yue Huang; Zheng Liu 001; Qifeng Zhou; Bin Xia 003; Qing Wang 016; Wentao Wang 006; Xiaolong Zhu (Knowl. Inf. Syst., 2017)

1-Resilient Boolean Functions on Even Variables with Almost Perfect Algebraic Immunity. - Gang Han; Yu Yu 001; Xiangxue Li; Qifeng Zhou; Dong Zheng 001; Hui Li 006 (Secur. Commun. Networks, 2017)

DdBB: A Data-driven Framework for Building Energy Use Benchmarking. - Qifeng Zhou; Maming Wang; Jinxin Ni; Yunyang Ye; Wangda Zuo (ICIA, 2018)

TaxiC: A Taxi Route Recommendation Method Based on Urban Traffic Charge Heat Map. - Yijing Cheng; Qifeng Zhou; Yongxuan Lai (ICSOC Workshops, 2018)

Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks. - Yongxuan Lai; Fan Yang 010; Jinsong Su; Qifeng Zhou; Tian Wang 001; Lu Zhang; Yifan Xu (Sensors, 2018)

A Cost-Sensitive Feature Selection Method for High-Dimensional Data. - Chaojie An; Qifeng Zhou (ICCSE, 2019)

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers. - Zhimin Tang; Shaohui Li; Linkai Luo; Min Fu; Hong Peng; Qifeng Zhou (IEEE Access, 2019)

Generating Multimedia Storyline for Effective Disaster Information Awareness. - Ruifeng Yuan; Jinxin Ni; Qifeng Zhou (IEEE Access, 2019)

Joint prediction of time series data in inventory management. - Qifeng Zhou; Ruyuan Han; Tao Li 001; Bin Xia 003 (Knowl. Inf. Syst., 2019)

dTexSL: A dynamic disaster textual storyline generating framework. - Ruifeng Yuan; Qifeng Zhou; Wubai Zhou (World Wide Web, 2019)

A Recommendation for Flight Extra Fuel Based on Random Forest. - Yiming Wang; Linkai Luo; Qifeng Zhou; Junsong Lin; Zixuan Wu (ICCPR, 2020)

PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification. - Lei Chen; Junchi Liu; Xueyuan Zhang; Qifeng Zhou (ICCSE, 2021)

Two-Stage Encoder for Pointer-Generator Network with Pretrained Embeddings. - Zhou Lin; Qifeng Zhou; Langcai Cao (ICCSE, 2021)

Interpretable duplicate question detection models based on attention mechanism. - Qifeng Zhou; Xiang Liu; Qing Wang 016 (Inf. Sci., 2021)

An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble. - Yongxuan Lai; Songyao He; Zhijie Lin; Fan Yang 010; Qifeng Zhou; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2021)

An Effective Classification-Based Framework for Predicting Cloud Capacity Demand in Cloud Services. - Bin Xia 003; Tao Li 001; Qifeng Zhou; Qianmu Li; Hong Zhang 021 (IEEE Trans. Serv. Comput., 2021)

A reinforcement learning guided adaptive cost-sensitive feature acquisition method. - Chaojie An; Qifeng Zhou; Shen Yang (Appl. Soft Comput., 2022)

Visual defects detection model of mobile phone screen. - Ge Yang; Haijian Lai; Qifeng Zhou (J. Intell. Fuzzy Syst., 2022)

Document-Level Relation Extraction with Distance-Dependent Bias Network and Neighbors Enhanced Loss. - Hao Liang; Qifeng Zhou (ECIR (1), 2023)

Clustering of Bandit with Frequency-Dependent Information Sharing. - Shen Yang; Qifeng Zhou; Qing Wang (ECIR (2), 2023)

A Hierarchical Network for Multimodal Document-Level Relation Extraction. - Lingxing Kong; Jiuliang Wang; Zheng Ma; Qifeng Zhou; Jianbing Zhang; Liang He 009; Jiajun Chen 001 (AAAI, 2024)

MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification. - Thao M. Dang; Yuzhi Guo; Hehuan Ma; Qifeng Zhou; Saiyang Na; Jean Gao; Junzhou Huang (BCB, 2024)

PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. - Qifeng Zhou; Wenliang Zhong; Yuzhi Guo; Michael Xiao; Hehuan Ma; Junzhou Huang (MICCAI (4), 2024)

GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text. - Xinxi Jiang; Xiang Li; Qifeng Zhou; Qing Wang 016 (WWW (Companion Volume), 2024)

Contrastive learning-based few-shot relation extraction with open-book datastore. - Wanyuan Gong; Qifeng Zhou (Appl. Soft Comput., 2024)

The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning. - Yaohui Li; Qifeng Zhou; Haoxing Chen; Jianbing Zhang; Xinyu Dai; Hao Zhou 012 (CoRR, 2024)

Visual detection for mobile phone surface defects based on semisupervised learning. - Ge Yang; Qifeng Zhou (Multim. Tools Appl., 2024)

Contrastive Pretraining for Computational Pathology with Visual-Language Models. - Qifeng Zhou; Thao M. Dang; Yuzhi Guo; Hehuan Ma; Wenliang Zhong; Saiyang Na; Jean Gao; Junzhou Huang (ISBI, 2025)

k-plex-based community detection with graph neural networks. - Lei Chen; Qifeng Zhou; Debo Zhao (Inf. Sci., 2025)

MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs. - Qifeng Zhou; Thao M. Dang; Wenliang Zhong; Yuzhi Guo; Hehuan Ma; Saiyang Na; Junzhou Huang (CoRR, 2025)

SS4Rec: Continuous-Time Sequential Recommendation with State Space Models. - Wei Xiao; Huiying Wang; Qifeng Zhou; Qing Wang (CoRR, 2025)

Commonsense knowledge enhanced event graph representation learning for script event prediction. - Xiang Li; Xinxi Jiang; Qifeng Zhou (Mach. Learn., 2025)

PT4Rec: a universal prompt-tuning framework for graph contrastive learning-based recommendations. - Wei Xiao; Qifeng Zhou (Mach. Learn., 2025)

Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification. - Haiqing Li; Yuzhi Guo; Feng Jiang; Qifeng Zhou; Hehuan Ma; Junzhou Huang (CoRR, 2025)

Text-Guided Multi-Instance Learning for Scoliosis Screening via Gait Video Analysis. - Haiqing Li; Yuzhi Guo; Feng Jiang; Thao M. Dang; Hehuan Ma; Qifeng Zhou; Jean Gao; Junzhou Huang (CoRR, 2025)