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Pei He
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2020 – today
- 2024
- [j20]Yinxiao Hu, Hongjuan Ge, Pei He, Hui Jin, Huang Li, Chunran Zou:
Research and verification on parameter solution of mixed shock model for common cause failure based on particle swarm algorithm. Qual. Reliab. Eng. Int. 40(6): 3340-3351 (2024) - [j19]Pei He, Licheng Jiao, Fang Liu, Xu Liu, Ronghua Shang, Shuang Wang:
Cross-Domain Scene Unsupervised Learning Segmentation With Dynamic Subdomains. IEEE Trans. Multim. 26: 6770-6784 (2024) - [j18]Pei He, Licheng Jiao, Ronghua Shang, Xu Liu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang:
A Patch Diversity Transformer for Domain Generalized Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14138-14150 (2024) - [c16]Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao:
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. AAAI 2024: 11811-11819 - [c15]Xiaodong Wu, Hao Wu, Pei He:
Leveraging Domain-Specific Word Embedding and Hate Concepts in Hate Speech Detection. IJCNN 2024: 1-8 - [c14]Pei He, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Ronghua Shang:
Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation. ACM Multimedia 2024: 651-660 - [i2]Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao:
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network. CoRR abs/2401.01912 (2024) - [i1]Yongjun Xiao, Xianlong Tian, Yongqi Ding, Pei He, Mengmeng Jing, Lin Zuo:
Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks. CoRR abs/2407.05739 (2024) - 2023
- [j17]Pei He, Meng Wang, Ding Tu, Zhuo Wang:
Dual discriminant adversarial cross-modal retrieval. Appl. Intell. 53(4): 4257-4267 (2023) - [j16]Zelin Deng, Shaobao Liu, Pei He, Song Yun, Qiang Tang, WenBo Li:
A bidirectional fusion branch network with penalty term-based trihard loss for person re-identification. J. Vis. Commun. Image Represent. 97: 103972 (2023) - [c13]Zelin Deng, Hao Zhou, Wei Ouyang, Pei He, Song Yun, Qiang Tang, Li Yu:
A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition. ICONIP (10) 2023: 162-175 - 2022
- [j15]Minglun Ren, Pei He, Junjie Zhou:
Decision fusion of two sensors object classification based on the evidential reasoning rule. Expert Syst. Appl. 210: 118620 (2022) - [j14]Pei He, Licheng Jiao, Ronghua Shang, Shuang Wang, Xu Liu, Dou Quan, Kun Yang, Dong Zhao:
MANet: Multi-Scale Aware-Relation Network for Semantic Segmentation in Aerial Scenes. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c12]Zhengheng Yan, Pei He, Weihong Huang, Suping Liu:
A new decoding method of the grammatical evolution. ACAI 2022: 97:1-97:7 - 2021
- [j13]Yongshun Lan, Pei He:
Answer Selection Based on Aligned Local Composite Features and Global Features. IEEE Access 9: 90690-90701 (2021) - [j12]Zelin Deng, Qiran Zhu, Pei He, Dengyong Zhang, Yuansheng Luo:
A Saliency Detection and Gram Matrix Transform-Based Convolutional Neural Network for Image Emotion Classification. Secur. Commun. Networks 2021: 6854586:1-6854586:12 (2021) - 2020
- [c11]Yongshun Lan, Pei He:
Gene Expression Programming with Multi-Threading Evaluation and Gene-Reuse Strategy. HP3C 2020: 150-159
2010 – 2019
- 2019
- [j11]Xiaowen Xu, Ying Liang, Pei He, Junliang Yang:
Adaptive Motion Artifact Reduction Based on Empirical Wavelet Transform and Wavelet Thresholding for the Non-Contact ECG Monitoring Systems. Sensors 19(13): 2916 (2019) - [c10]Shuang Wang, Ligang Zhou, Pei He, Dou Quan, Qing Zhao, Xuefeng Liang, Biao Hou:
An Improved Fully Convolutional Network for Learning Rich Building Features. IGARSS 2019: 6444-6447 - 2018
- [j10]Chong-zhi Gao, Qiong Cheng, Pei He, Willy Susilo, Jin Li:
Privacy-preserving Naive Bayes classifiers secure against the substitution-then-comparison attack. Inf. Sci. 444: 72-88 (2018) - [j9]Xue Peng, Xiaoyun Xia, Rong Zhu, Lei Lin, Huimin Gao, Pei He:
A comparative performance analysis of evolutionary algorithms on $${\varvec{k}}$$ k -median and facility location problems. Soft Comput. 22(23): 7787-7796 (2018) - 2017
- [j8]Pei He, Zelin Deng, Chongzhi Gao, Xiuni Wang, Jin Li:
Model approach to grammatical evolution: deep-structured analyzing of model and representation. Soft Comput. 21(18): 5413-5423 (2017) - [c9]Yi Zheng, Pei He, Chi-Chang Chang, Yafen Liu:
Issues with Path Representation in Transition Systems. ACIT/CSII/BCD 2017: 230-234 - 2016
- [j7]Pei He, Zelin Deng, Houfeng Wang, Zhusong Liu:
Model approach to grammatical evolution: theory and case study. Soft Comput. 20(9): 3537-3548 (2016) - 2015
- [j6]Pei He, Achun Hu, Dongqing Xie, Zhiping Fan:
Component-Based Verification Model of Sequential Programs. J. Softw. 10(11): 1319-1326 (2015) - [c8]Pei He, Zelin Deng, Chongzhi Gao, Liang Chang, Achun Hu:
Analyzing Grammatical Evolution and \pi π Grammatical Evolution with Grammar Model. ITITS (2) 2015: 483-489 - 2014
- [c7]Huihui Li, Xiangying Li, Pei He, Shanqiang Yi, Dewei Yang, Huafeng Liu:
Work in progress: A new algorithm to improve the decoding success probability of Raptor code. ChinaCom 2014: 271-274 - 2012
- [c6]Wei Deng, Pei He:
Improving Multi Expression Programming Using Reuse-Based Evaluation. ISICA 2012: 292-299 - 2011
- [j5]Pei He, Lishan Kang, Colin G. Johnson, Shi Ying:
Hoare logic-based genetic programming. Sci. China Inf. Sci. 54(3): 623-637 (2011) - [j4]Pei He, Colin G. Johnson, Houfeng Wang:
Modeling grammatical evolution by automaton. Sci. China Inf. Sci. 54(12): 2544-2553 (2011) - 2010
- [j3]Zhijun Zhou, Yu Lv, Pei He, Junhu Zhou, Kefa Cen:
DNS study of swirling intensity effect on flow pattern of a circular jet. J. Vis. 13(1): 3-4 (2010)
2000 – 2009
- 2009
- [j2]Pei He, Zhijun Zhou, Zhihua Wang, Junhu Zhou, Kefa Cen:
Visualization of circular subsonic jet flow by DNS. J. Vis. 12(4): 286 (2009) - [c5]Pei He, Lishan Kang, Daochang Huang:
Construction of Hoare Triples under Generalized Model with Semantically Valid Genetic Operations. ISICA 2009: 228-237 - 2008
- [c4]Pei He, Lishan Kang, Ming Fu:
Formality based genetic programming. IEEE Congress on Evolutionary Computation 2008: 4080-4087 - [c3]Pei He, Lishan Kang, Zengliang Xiao, Zhuoyu Xiao:
A Scheduling Strategy for Parallel Proof Checking and Verification. ICNSC 2008: 1823-1827 - 2007
- [c2]Pei He, Lishan Kang, Qiongzhang Li:
Model for Parallel Verification of Programs. SNPD (3) 2007: 623-628
1990 – 1999
- 1993
- [j1]Renwei Li, Pei He, Wenhui Zhang:
An introduction to INCAPS system. J. Comput. Sci. Technol. 8(1): 26-37 (1993) - 1992
- [c1]Pei He, Renwei Li, Wenhui Zhang:
Theory and Practice for XYZ/VERI System. IWAR 1992: 239-248
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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