Object detection based on BING in optical remote sensing images. - Jiangbin Zheng 001; Yue Xi; Mingchen Feng; Xiuxiu Li; Na Li (CISP-BMEI, 2016)

Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction. - Mingchen Feng; Jiangbin Zheng 001; Yukang Han; Jinchang Ren; Qiaoyuan Liu (BICS, 2018)

A Big Data Analytics Platform for Information Sharing in the Connection Between Administrative Law and Criminal Justice. - Na Li; Jiangbin Zheng 001; Mingchen Feng (BICS, 2018)

A Study of Balance Ability for Children Between 5-6 Years Using Data Mining Techniques. - Mingchen Feng; Yanqin Liu (BICS, 2019)

Association Rule Mining for Road Traffic Accident Analysis: A Case Study from UK. - Mingchen Feng; Jiangbin Zheng 001; Jinchang Ren; Yue Xi (BICS, 2019)

Forensic Detection Based on Color Label and Oriented Texture Feature. - Tingge Zhu; Jiangbin Zheng 001; Mingchen Feng; Ying Liu 026; Wei Liu; Nailiang Kuang; Chao Zhao (BICS, 2019)

Blind Detection Based on Color SIFT. - Tingge Zhu; Jiangbin Zheng 001; Mingchen Feng; Jinchang Ren; Weihua Liu (BICS, 2019)

Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data. - Mingchen Feng; Jiangbin Zheng 001; Jinchang Ren; Amir Hussain 001; Xiuxiu Li; Yue Xi; Qiaoyuan Liu (IEEE Access, 2019)

Towards Big Data Analytics and Mining for UK Traffic Accident Analysis, Visualization & Prediction. - Mingchen Feng; Jiangbin Zheng 001; Jinchang Ren; Yanqin Liu (ICMLC, 2020)

Beyond context: Exploring semantic similarity for small object detection in crowded scenes. - Yue Xi; Jiangbin Zheng 001; Xiangjian He; Wenjing Jia; Hanhui Li; Yefan Xie; Mingchen Feng; Xiuxiu Li (Pattern Recognit. Lett., 2020)

Soybean Leaf Segmentation and Area Estimation Based on Extreme Points. - Zhiliang Yang; Jiapei Tong; Mingchen Feng; Guoliang Hu; Jinqiao Wu 001; Yingchun Fan (ICMLC, 2023)

Attention-Embedded Triple-Fusion Branch CNN for Hyperspectral Image Classification. - Erlei Zhang; Jiayi Zhang; Jiaxin Bai; Jiarong Bian; Shaoyi Fang; Tao Zhan; Mingchen Feng (Remote. Sens., 2023)

TR-LDA: An Improved Potential Topic Recognition Model. - Anzhen Li; Shufan Qing; Weijie Qin; Liwen Qin; Jiawei Zhang; Meilin Shi; Jinchang Ren; Mingchen Feng (BICS (2), 2024)

Fine-Grained Agricultural Facility Power Forecasting Based on Empirical Mode Decomposition. - Erlei Zhang; Yu Zhang; Xiangsen Liu; Wenxuan Yuan; Jiangbin Zheng 001; Mingchen Feng (IJCNN, 2024)

Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision System. - Anzhen Li; Shufan Qing; Xiaochang Li; Rui Mao; Mingchen Feng (ICIC (17), 2025)

ICSF: Integrating Inter-Modal and Cross-Modal Learning Framework for Self-Supervised Heterogeneous Change Detection. - Erlei Zhang; He Zong; Xinyu Li 013; Mingchen Feng; Jinchang Ren (IEEE Trans. Geosci. Remote. Sens., 2025)

GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal. - Shufan Qing; Anzhen Li; Qiandi Wang; Yuefeng Niu; Mingchen Feng; Guoliang Hu; Jin-Qiao Wu 001; Fengtao Nan; Yingchun Fan (CoRR, 2025)