Optimization of Turn Geometries in Microfluidic Channels. - Ji Feng; Zuo Chuncheng; Zhang Peng; Zhou Deyi (ICMENS, 2005)

Analysis of Electroosmotic Flow with Linear Variable Zeta Potential. - Ji Feng; Zuo Chuncheng; Zhang Peng; Zhou Deyi (ICMENS, 2005)

Research on Simulation of Soft Tissue Deformation in Virtual Orthodontics. - Ji Feng (ICAT Workshops, 2006)

Real Context Model for Tone Recognition in Mandarin Conversational Telephone Speech. - Zhaojie Liu; Jian Shao 001; Pengyuan Zhang; Qingwei Zhao; Yonghong Yan 002; Ji Feng (ICNC (2), 2007)

An Instance-Based Schema Matching Method with Attributes Ranking and Classification. - Ji Feng; Xiaoguang Hong; Yuanbo Qu (FSKD (5), 2009)

Research on the Impact of Service Innovation about Relational Embedded Configuration and Network Competence. - Ji Feng; Zhu Li-li; Wang Bang-jun (ICEE, 2010)

Outlier detection based on k-neighborhood MST. - Qingsheng Zhu; Xiaogang Fan; Ji Feng (IRI, 2014)

Weighted natural neighborhood graph: an adaptive structure for clustering and outlier detection with no neighborhood parameter. - Qingsheng Zhu; Ji Feng; Jinlong Huang (Clust. Comput., 2016)

Extend natural neighbor: a novel classification method with self-adaptive neighborhood parameters in different stages. - Ji Feng; Qingsheng Zhu; Jinlong Huang; Lijun Yang (CoRR, 2016)

A non-parameter outlier detection algorithm based on Natural Neighbor. - Jinlong Huang; Qingsheng Zhu; Lijun Yang; Ji Feng (Knowl. Based Syst., 2016)

Natural neighbor: A self-adaptive neighborhood method without parameter K. - Qingsheng Zhu; Ji Feng; Jinlong Huang (Pattern Recognit. Lett., 2016)

Deep MIML Network. - Ji Feng; Zhi-Hua Zhou (AAAI, 2017)

Deep Forest: Towards An Alternative to Deep Neural Networks. - Zhi-Hua Zhou; Ji Feng (IJCAI, 2017)

一种具有动态邻域特点的自适应最近邻居算法 (Adaptive Nearest Neighbor Algorithm with Dynamic Neighborhood). - Ji Feng; Cheng Zhang; Qingsheng Zhu (计算机科学, 2017)

AutoEncoder by Forest. - Ji Feng; Zhi-Hua Zhou (AAAI, 2018)

Multi-Layered Gradient Boosting Decision Trees. - Ji Feng; Yang Yu 001; Zhi-Hua Zhou (NeurIPS, 2018)

GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. - Hitoshi Iba; Ji Feng; Hossein Izadi Rad (SMC, 2018)

Natural neighborhood-based classification algorithm without parameter k. - Ji Feng; Yan Wei; Qingsheng Zhu (Big Data Min. Anal., 2018)

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Zhi-Hua Zhou (CoRR, 2018)

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. - Ji Feng; Qi-Zhi Cai; Zhi-Hua Zhou (NeurIPS, 2019)

Dynamic Tuning of Optical Transmittance of 1D Colloidal Assemblies of Magnetic Nanostructures. - Xiaoliang Zhang; Zhiwei Li; Ji Feng; Fan Yang; Chaolumen Wu; Qingsong Fan; Shuai Zhou; Yadong Yin (Adv. Intell. Syst., 2019)

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Yuan (Alan) Qi; Zhi-Hua Zhou (ACM Trans. Intell. Syst. Technol., 2019)

Soft Gradient Boosting Machine. - Ji Feng; Yi-Xuan Xu; Yuan Jiang 001; Zhi-Hua Zhou (CoRR, 2020)

Federated Soft Gradient Boosting Machine for Streaming Data. - Ji Feng; Yi-Xuan Xu; Yong-Gang Wang; Yuan Jiang 001 (Federated Learning, 2020)

Reconstruction-based Anomaly Detection with Completely Random Forest. - Yi-Xuan Xu; Ming Pang; Ji Feng; Kai Ming Ting; Yuan Jiang 001; Zhi-Hua Zhou (SDM, 2021)

An Effective Clustering Algorithm Using Adaptive Neighborhood and Border Peeling Method. - Ji Feng; Bokai Zhang; Ruisheng Ran; Wanli Zhang; Degang Yang (Comput. Intell. Neurosci., 2021)

A non-iterative method for vertex corrections of the Kubo formula for electric conductivity. - Yi-Wen Wei; Chao-Kai Li; Yuchuang Cao; Ji Feng (Comput. Phys. Commun., 2021)

Marginal Fisher Analysis With Polynomial Matrix Function. - Ruisheng Ran; Zheng Li; Ting Wang; Ji Feng; Bin Fang 001 (IEEE Access, 2022)

A General Matrix Function Dimensionality Reduction Framework and Extension for Manifold Learning. - Ruisheng Ran; Ji Feng; Shougui Zhang; Bin Fang 001 (IEEE Trans. Cybern., 2022)

NeuralSCF: Neural network self-consistent fields for density functional theory. - Feitong Song; Ji Feng (CoRR, 2024)

Locality Preserving Projections with Autoencoder. - Ruisheng Ran; Ji Feng; Zheng Li; Jinping Wang; Bin Fang 001 (Expert Syst. Appl., 2024)

Projective synchronisation of bipartite networks with nonlinear couplings via quantised event-triggered control. - Jie Yan; Wanli Zhang; Ji Feng (Int. J. Syst. Sci., 2024)

Hierarchical clustering algorithm based on natural local density peaks. - Fapeng Cai; Ji Feng; Degang Yang; Zhongshang Chen (Signal Image Video Process., 2024)

An improved density peaks clustering algorithm using similarity assignment strategy with K-nearest neighbors. - Wei Hu; Ji Feng; Degang Yang (Clust. Comput., 2024)

MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic information. - Ji Feng; Jiashuang Huang; Weiping Ding 001; Chang Guo; Zhenquan Shi 001 (Appl. Soft Comput., 2025)

Hierarchical clustering algorithm based on Crystallized neighborhood graph for identifying complex structured datasets. - Zhongshang Chen; Ji Feng; Degang Yang; Fapeng Cai (Expert Syst. Appl., 2025)