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ORCIDPengju Liu
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2020 – today
- 2024
[j15]Sida Hao
, Lin Shen, Pengju Liu, Qin Yong, Yeqiang Wang, Xiangyi Zheng:
Development of a prognostic model for muscle-invasive bladder cancer using glutamine metabolism. Comput. Biol. Medicine 171: 108223 (2024)- [j14]Pengju Liu, Cui-Ping Li, Hong Chen:
Enhancing Storage Efficiency and Performance: A Survey of Data Partitioning Techniques. J. Comput. Sci. Technol. 39(2): 346-368 (2024) - [c11]Pengju Liu, Kai Zhong, Cuiping Li, Hong Chen:
Demonstrating PARS: A Decision Support System for Developing Vertical Partitioning Plans. CIKM 2024: 5249-5253 - [c10]Pengju Liu, Pan Cai, Cuiping Li, Hong Chen:
AVPS: Automatic Vertical Partitioning for Dynamic Workload. ICIC (13) 2024: 146-157 - 2023
- [j13]Xiaoyu Su, Pengju Liu, Zhao Wang, Haijun Liao, Zhenyu Zhou, Guangyuan Xu, Zhenti Wang, Yan Qin:
Priority-aware intelligent device access management for carbon footprint monitoring in sustainable cites and society. IET Commun. 17(4): 409-417 (2023) - [j12]Pengju Liu, Sunxun Zhang, Zhenyu Zhou, Lei Lv, Lin Huang, Jiayu Liu:
Multiple satellite and ground clock sources-based high-precision time synchronization and lossless switching for distribution power system. IET Commun. 17(18): 2041-2052 (2023) - [j11]Jie Deng, Rui Wang, Lujia Yang, Xuan Lv, Ziqian Yang, Kai Zhang, Congying Zhou, Pengju Liu, Zhifang Wang, Ahsan Abdullah, Zhanhong Ma:
Quantitative Estimation of Wheat Stripe Rust Disease Index Using Unmanned Aerial Vehicle Hyperspectral Imagery and Innovative Vegetation Indices. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [c9]Pengju Liu, Baojiang Cui, Can Cui:
Traffic-Oriented Shellcode Detection Based on VSM. EIDWT 2023: 152-162 - 2022
- [j10]Cheng Shi, Pengju Liu, Yapeng Chen, Zhenyu Zhou, Junzhong Yang, Chenkai Zhao, Bei Chen, Sen Yang, Shahid Mumtaz:
Adversarial learning-based multi-timescale network resource management in multi-mode green IoT network for smart building. IET Commun. 16(14): 1739-1751 (2022) - [j9]Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, Wangmeng Zuo:
Robust deep ensemble method for real-world image denoising. Neurocomputing 512: 1-14 (2022) - [i3]Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, Wangmeng Zuo:
Robust Deep Ensemble Method for Real-world Image Denoising. CoRR abs/2206.03691 (2022) - 2021
- [j8]Tao Yu, Pengju Liu, Qiang Zhang, Yi Ren, Jingning Yao:
Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-Scale Satellite Images. Remote. Sens. 13(6): 1131 (2021) - 2020
- [j7]Pengju Liu, Hongzhi Zhang, Yue Cao, Shigang Liu, Dongwei Ren, Wangmeng Zuo:
Learning cascaded convolutional networks for blind single image super-resolution. Neurocomputing 417: 371-383 (2020) - [j6]Pengfei Sun, Pengju Liu, Qi Li, Chenxi Liu, Xiangling Lu, Ruochen Hao, Jinpeng Chen:
DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System. Secur. Commun. Networks 2020: 8890306:1-8890306:11 (2020)
2010 – 2019
- 2019
- [j5]Pengju Liu, Junluo Li, Zhongwei Sun:
Matching-Based Task Offloading for Vehicular Edge Computing. IEEE Access 7: 27628-27640 (2019) - [j4]Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo:
Multi-Level Wavelet Convolutional Neural Networks. IEEE Access 7: 74973-74985 (2019) - [j3]Zhenyu Zhou, Pengju Liu, Junhao Feng, Yan Zhang, Shahid Mumtaz, Jonathan Rodriguez:
Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach. IEEE Trans. Veh. Technol. 68(4): 3113-3125 (2019) - [c8]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c7]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c6]Chuntian Zhang, Zhenyu Zhou, Pengju Liu, Bo Gu:
Resource Allocation for Energy Harvesting Based Cognitive Machine-to-Machine Communications. ICC 2019: 1-6 - [c5]Pengju Liu:
An Intrusion Detection System Based on Convolutional Neural Network. ICCAE 2019: 62-67 - [c4]Xianglin Lu, Pengju Liu, Jiayi Lin:
Network Traffic Anomaly Detection Based on Information Gain and Deep Learning. ICISDM 2019: 11-15 - [i2]Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo:
Multi-level Wavelet Convolutional Neural Networks. CoRR abs/1907.03128 (2019) - 2018
- [c3]Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-Level Wavelet-CNN for Image Restoration. CVPR Workshops 2018: 773-782 - [c2]Zhenyu Zhou, Pengju Liu, Zheng Chang, Chen Xu, Yan Zhang:
Energy-efficient workload offloading and power control in vehicular edge computing. WCNC Workshops 2018: 191-196 - [i1]Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-level Wavelet-CNN for Image Restoration. CoRR abs/1805.07071 (2018) - 2017
- [j2]Hongzhi Zhang, Feng Li, Pengju Liu, Yan Chen, Dongwei Ren, Kuanquan Wang:
How can a sparse representation be made applicable for very low-dimensional data? Expert Syst. Appl. 77: 66-70 (2017) - 2016
- [j1]Dongyu Zhang, Pengju Liu, Kai Zhang, Hongzhi Zhang, Qing Wang, Xiao-Yuan Jing:
Class relatedness oriented-discriminative dictionary learning for multiclass image classification. Pattern Recognit. 59: 168-175 (2016) - 2015
- [c1]Pengju Liu, Hongzhi Zhang, Kai Zhang, Changchun Luo, Wangmeng Zuo:
Class Relatedness Oriented Discriminative Dictionary Learning. CCCV (1) 2015: 335-343
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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