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Ji Feng
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2020 – today
- 2024
- [j15]Wei Hu, Ji Feng, Degang Yang
:
An improved density peaks clustering algorithm using similarity assignment strategy with K-nearest neighbors. Clust. Comput. 27(9): 12689-12706 (2024) - [j14]Ruisheng Ran
Locality Preserving Projections with Autoencoder. Expert Syst. Appl. 242: 122750 (2024) - [j13]Jie Yan, Wanli Zhang, Ji Feng:
Projective synchronisation of bipartite networks with nonlinear couplings via quantised event-triggered control. Int. J. Syst. Sci. 55(13): 2604-2619 (2024) - [j12]Fapeng Cai, Ji Feng, Degang Yang
Hierarchical clustering algorithm based on natural local density peaks. Signal Image Video Process. 18(11): 7989-8004 (2024) - [i9]Feitong Song, Ji Feng:
NeuralSCF: Neural network self-consistent fields for density functional theory. CoRR abs/2406.15873 (2024) - 2022
- [j11]Ruisheng Ran
Marginal Fisher Analysis With Polynomial Matrix Function. IEEE Access 10: 102451-102461 (2022) - [j10]Ruisheng Ran
A General Matrix Function Dimensionality Reduction Framework and Extension for Manifold Learning. IEEE Trans. Cybern. 52(4): 2137-2148 (2022) - 2021
- [j9]Ji Feng
An Effective Clustering Algorithm Using Adaptive Neighborhood and Border Peeling Method. Comput. Intell. Neurosci. 2021: 6785580:1-6785580:11 (2021) - [j8]Yi-Wen Wei
A non-iterative method for vertex corrections of the Kubo formula for electric conductivity. Comput. Phys. Commun. 258: 107551 (2021) - [c14]Yi-Xuan Xu, Ming Pang, Ji Feng, Kai Ming Ting, Yuan Jiang, Zhi-Hua Zhou:
Reconstruction-based Anomaly Detection with Completely Random Forest. SDM 2021: 127-135 - 2020
- [p1]Ji Feng, Yi-Xuan Xu, Yong-Gang Wang, Yuan Jiang:
Federated Soft Gradient Boosting Machine for Streaming Data. Federated Learning 2020: 93-107 - [i8]Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou:
Soft Gradient Boosting Machine. CoRR abs/2006.04059 (2020)
2010 – 2019
- 2019
- [j7]Xiaoliang Zhang, Zhiwei Li, Ji Feng, Fan Yang, Chaolumen Wu, Qingsong Fan
Dynamic Tuning of Optical Transmittance of 1D Colloidal Assemblies of Magnetic Nanostructures. Adv. Intell. Syst. 1(8): 1900099 (2019) - [j6]Ya-Lin Zhang
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10(5): 55:1-55:19 (2019) - [c13]Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou:
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. NeurIPS 2019: 11971-11981 - [i7]Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou:
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder. CoRR abs/1905.09027 (2019) - 2018
- [j5]Ji Feng
Natural neighborhood-based classification algorithm without parameter k. Big Data Min. Anal. 1(4): 257-265 (2018) - [c12]Ji Feng, Zhi-Hua Zhou:
AutoEncoder by Forest. AAAI 2018: 2967-2973 - [c11]Ji Feng, Yang Yu, Zhi-Hua Zhou:
Multi-Layered Gradient Boosting Decision Trees. NeurIPS 2018: 3555-3565 - [c10]Hitoshi Iba, Ji Feng, Hossein Izadi Rad:
GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine. SMC 2018: 255-262 - [i6]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR abs/1805.04234 (2018) - [i5]Ji Feng, Yang Yu, Zhi-Hua Zhou:
Multi-Layered Gradient Boosting Decision Trees. CoRR abs/1806.00007 (2018) - [i4]Hossein Izadi Rad, Ji Feng, Hitoshi Iba:
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine. CoRR abs/1806.02502 (2018) - 2017
- [j4]Ji Feng, Cheng Zhang, Qingsheng Zhu:
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). 计算机科学 44(12): 194-201 (2017) - [c9]Ji Feng, Zhi-Hua Zhou:
Deep MIML Network. AAAI 2017: 1884-1890 - [c8]Zhi-Hua Zhou, Ji Feng:
Deep Forest: Towards An Alternative to Deep Neural Networks. IJCAI 2017: 3553-3559 - [i3]Zhi-Hua Zhou, Ji Feng:
Deep Forest: Towards An Alternative to Deep Neural Networks. CoRR abs/1702.08835 (2017) - [i2]Ji Feng, Zhi-Hua Zhou:
AutoEncoder by Forest. CoRR abs/1709.09018 (2017) - 2016
- [j3]Qingsheng Zhu, Ji Feng
Weighted natural neighborhood graph: an adaptive structure for clustering and outlier detection with no neighborhood parameter. Clust. Comput. 19(3): 1385-1397 (2016) - [j2]Jinlong Huang
A non-parameter outlier detection algorithm based on Natural Neighbor. Knowl. Based Syst. 92: 71-77 (2016) - [j1]Qingsheng Zhu
Natural neighbor: A self-adaptive neighborhood method without parameter K. Pattern Recognit. Lett. 80: 30-36 (2016) - [i1]Ji Feng, Qingsheng Zhu, Jinlong Huang, Lijun Yang:
Extend natural neighbor: a novel classification method with self-adaptive neighborhood parameters in different stages. CoRR abs/1612.02310 (2016) - 2014
- [c7]Qingsheng Zhu, Xiaogang Fan, Ji Feng:
Outlier detection based on k-neighborhood MST. IRI 2014: 718-724 - 2010
- [c6]Ji Feng, Zhu Li-li, Wang Bang-jun:
Research on the Impact of Service Innovation about Relational Embedded Configuration and Network Competence. ICEE 2010: 2953-2956
2000 – 2009
- 2009
- [c5]Ji Feng, Xiaoguang Hong, Yuanbo Qu:
An Instance-Based Schema Matching Method with Attributes Ranking and Classification. FSKD (5) 2009: 522-526 - 2007
- [c4]Zhaojie Liu, Jian Shao, Pengyuan Zhang, Qingwei Zhao, Yonghong Yan, Ji Feng:
Real Context Model for Tone Recognition in Mandarin Conversational Telephone Speech. ICNC (2) 2007: 696-699 - 2006
- [c3]Ji Feng:
Research on Simulation of Soft Tissue Deformation in Virtual Orthodontics. ICAT Workshops 2006: 318-322 - 2005
- [c2]Ji Feng, Zuo Chuncheng, Zhang Peng, Zhou Deyi:
Optimization of Turn Geometries in Microfluidic Channels. ICMENS 2005: 32-38 - [c1]Ji Feng, Zuo Chuncheng, Zhang Peng, Zhou Deyi
Analysis of Electroosmotic Flow with Linear Variable Zeta Potential. ICMENS 2005: 319-326
Coauthor Index
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last updated on 2024-10-16 21:22 CEST by the dblp team
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