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Peng Ni
Publications
- 2023
- [j25]Yabin Zhang, Hairong Lian, Guang Yang, Suyun Zhao, Peng Ni, Hong Chen, Cuiping Li:
Inaccurate-Supervised Learning With Generative Adversarial Nets. IEEE Trans. Cybern. 53(3): 1522-1536 (2023) - 2022
- [i1]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. CoRR abs/2201.03649 (2022) - 2021
- [j17]Peng Ni, Suyun Zhao, Zhi-Gang Dai, Hong Chen, Cui-Ping Li:
Partial Label Learning via Conditional-Label-Aware Disambiguation. J. Comput. Sci. Technol. 36(3): 590-605 (2021) - [j16]Suyun Zhao, Zhi-Gang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li:
An Accelerator for Rule Induction in Fuzzy Rough Theory. IEEE Trans. Fuzzy Syst. 29(12): 3635-3649 (2021) - 2020
- [j14]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li, Eric C. C. Tsang:
Incremental feature selection based on fuzzy rough sets. Inf. Sci. 536: 185-204 (2020) - [c15]Yanling Wang, Cuiping Li, Jing Zhang, Peng Ni, Hong Chen:
Graph Convolutional Network Using a Reliability-Based Feature Aggregation Mechanism. DASFAA (1) 2020: 536-552 - [c14]Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li:
Partial Label Learning via Generative Adversarial Nets. ECAI 2020: 1674-1681 - 2019
- [j10]Peng Ni, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li:
PARA: A positive-region based attribute reduction accelerator. Inf. Sci. 503: 533-550 (2019) - [c10]Peng Ni, Suyun Zhao, Hong Chen, Cuiping Li:
An Accelerator of Feature Selection Applying a General Fuzzy Rough Model. PAKDD (2) 2019: 603-614
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