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Peng Ni
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2020 – today
- 2024
- [j30]Lemin Li, Yafei Song, Wen Quan, Peng Ni, Ke Wang:
Lightweight Intent Recognition Method Based on Diffusion Model. Int. J. Comput. Intell. Syst. 17(1): 155 (2024) - 2023
- [j29]Neng Huang, Minghua Xu, Fan Nie, Peng Ni, Chuan-Le Xiao, Feng Luo, Jianxin Wang:
NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data. Bioinform. 39(1) (2023) - [j28]Junfeng Sun, Chenghai Li, Yafei Song, Peng Ni, Jian Wang:
Network Security Situation Prediction Based on TCAN-BiGRU Optimized by SSA and IQPSO. Comput. Syst. Sci. Eng. 47(1): 993-1021 (2023) - [j27]Gang Liu, Yanxin Hu, Zhiyu Chen, Jianwei Guo, Peng Ni:
Lightweight object detection algorithm for robots with improved YOLOv5. Eng. Appl. Artif. Intell. 123(Part A): 106217 (2023) - [j26]Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2712-2723 (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
- [j24]Neng Huang, Fan Nie, Peng Ni, Xin Gao, Feng Luo, Jianxin Wang:
BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer. Briefings Bioinform. 23(1) (2022) - [j23]Jun Zhang, Fan Nie, Neng Huang, Peng Ni, Feng Luo, Jianxin Wang:
Fec: a fast error correction method based on two-rounds overlapping and caching. Bioinform. 38(19): 4629-4632 (2022) - [j22]Jinlong Yang, Peng Ni, Jiani Miao, Hongwei Ge:
Improving visual multi-object tracking algorithm via integrating GM-PHD and correlation filter. IET Image Process. 16(5): 1349-1358 (2022) - [j21]Peng Ni, Limin Sun, Jipeng Yang, Yixian Li:
Multi-End Physics-Informed Deep Learning for Seismic Response Estimation. Sensors 22(10): 3697 (2022) - [j20]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang:
SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 614-623 (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
- [b1]Peng Ni:
Efficient temporal graph processing : shortest paths, closeness centralities and S-cliques. Nanyang Technological University, Singapore, 2021 - [j19]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Xin Gao, Jianxin Wang:
NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks. Bioinform. 37(19): 3120-3127 (2021) - [j18]Xueqian Fu, Yazhong Zhou, Feifei Yang, Lingxi Ma, Hai Long, Yujie Zhong, Peng Ni:
A Review of Key Technologies and Trends in the Development of Integrated Heating and Power Systems in Agriculture. Entropy 23(2): 260 (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) - [c17]Peng Ni:
Intelligent Containers for the Goods Transport. ICISCAE (ACM) 2021: 1829-1832 - 2020
- [j15]Wenjie Luo, Han Zhang, Peng Ni, Xuedong Tian:
Balanced principal component for 3D shape recognition using convolutional neural networks. IET Image Process. 14(17): 4468-4476 (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) - [j13]Peng Ni, Jiale Gao, Yafei Song, Wen Quan, Qinghua Xing:
A New Method for Dynamic Multi-Objective Optimization Based on Segment and Cloud Prediction. Symmetry 12(3): 465 (2020) - [j12]Peng Ni, Jianxin Wang, Ping Zhong, Yaohang Li, Fang-Xiang Wu, Yi Pan:
Constructing Disease Similarity Networks Based on Disease Module Theory. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 906-915 (2020) - [c16]Haochen Zhao, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code. BIBM 2020: 921-926 - [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
2010 – 2019
- 2019
- [j11]Peng Ni, Neng Huang, Zhi Zhang, De-Peng Wang, Fan Liang, Yu Miao, Chuan-Le Xiao, Feng Luo, Jianxin Wang:
DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning. Bioinform. 35(22): 4586-4595 (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) - [j9]Cheng Yan, Jianxin Wang, Peng Ni, Wei Lan, Fang-Xiang Wu, Yi Pan:
DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 233-243 (2019) - [j8]Min Li, Peng Ni, Xiaopei Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1386-1397 (2019) - [j7]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Peng Ni, Kaijie Zhao, Fang-Xiang Wu, Yi Pan:
Computational Drug Repositioning with Random Walk on a Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1890-1900 (2019) - [c13]Cheng-Li Fan, Qiang Fu, Yafei Song, Peng Ni, Bo Zhang:
Near space defense operation modeling and realization of multi-sensor autonomous cooperative scheduling. AIIPCC 2019: 67:1-67:7 - [c12]Peng Ni, Masatoshi Hanai, Wen Jun Tan, Wentong Cai:
Efficient closeness centrality computation in time-evolving graphs. ASONAM 2019: 378-385 - [c11]Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang:
An attention-based neural network basecaller for Oxford Nanopore sequencing data. BIBM 2019: 390-394 - [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 - 2018
- [j6]Jinke Xiao, Weimin Li, Bin Liu, Peng Ni:
A novel multi-population coevolution strategy for single objective immune optimization algorithm. Neural Comput. Appl. 29(4): 1115-1128 (2018) - 2017
- [c9]Peng Ni, Masatoshi Hanai, Wen Jun Tan, Chen Wang, Wentong Cai:
Parallel Algorithm for Single-Source Earliest-Arrival Problem in Temporal Graphs. ICPP 2017: 493-502 - [c8]Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu:
Relating Diseases Based on Disease Module Theory. ISBRA 2017: 24-33 - 2016
- [j5]Yun Wang, Guo-Ping Hu, Peng Ni, Lin-Hai Gan:
Adaptive tracking of group targets using random matrix. Int. J. Wirel. Mob. Comput. 10(1): 83-89 (2016) - [j4]Jinke Xiao, Weimin Li, Bin Liu, Peng Ni:
A novel multi-population coevolution immune optimization algorithm. Soft Comput. 20(9): 3657-3671 (2016) - [c7]Shibo Xu, Peng Ni, Wensheng Cao, Yang Yang, Shao-Yong Guo, Wenjing Li:
Routing discovery mechanism based on fault tolerance in container yard environment. APNOMS 2016: 1-4 - [c6]Min Li, Xiaopei Chen, Peng Ni, Jianxin Wang, Yi Pan:
Identifying Essential Proteins by Purifying Protein Interaction Networks. ISBRA 2016: 106-116 - [c5]Shibo Xu, Qingzhou Li, Peng Ni, Wensheng Cao, Xianfeng Zhao:
The Application of Ad-Hoc Network in Smart Container Tracking System. Trustcom/BigDataSE/ISPA 2016: 2068-2072 - 2015
- [j3]Peng Ni, Gang Wang, Jin-Mang Liu, Cheng-Li Fan:
Modelling and realisation of multi-sensors mission planning problem based on fuzzy chance-constrained bi-level programming in anti-TBM combat. Int. J. Wirel. Mob. Comput. 9(2): 177-191 (2015) - [j2]Ping Zhong, Peng Ni, Runsheng Wang:
Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(11): 5225-5245 (2015) - [c4]Chen Wang, Hoang Tam Vo, Peng Ni:
An IoT Application for Fault Diagnosis and Prediction. DSDIS 2015: 726-731 - [c3]Peng Ni, Hoang Tam Vo, Daniel Dahlmeier, Wentong Cai, Jordan Ivanchev, Heiko Aydt:
DEPART: Dynamic Route Planning in Stochastic Time-Dependent Public Transit Networks. ITSC 2015: 1672-1677 - [c2]Hoang Tam Vo, Peng Ni, Chengbin Yan, Thirumurugan Eswaran, Jugal Shah, Bob Massarczyk:
Diversification of Route Planning Results for Improved User Satisfaction. ITSC 2015: 2625-2630 - 2014
- [c1]Peng Ni, Chunhong Zhang, Yang Ji:
A hybrid method for short-term sensor data forecasting in Internet of Things. FSKD 2014: 369-373 - 2011
- [j1]Homer F. Walker, Peng Ni:
Anderson Acceleration for Fixed-Point Iterations. SIAM J. Numer. Anal. 49(4): 1715-1735 (2011)
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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