Pengju Liu

According to our database, Pengju Liu authored at least 22 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Multiple satellite and ground clock sources-based high-precision time synchronization and lossless switching for distribution power system.

Pengju Liu, Sunxun Zhang, Zhenyu Zhou, Lei Lv, Lin Huang, Jiayu Liu

IET Commun., November, 2023

Priority-aware intelligent device access management for carbon footprint monitoring in sustainable cites and society.

Xiaoyu Su, Pengju Liu, Zhao Wang, Haijun Liao, Zhenyu Zhou, Guangyuan Xu, Zhenti Wang, Yan Qin

IET Commun., March, 2023

Quantitative Estimation of Wheat Stripe Rust Disease Index Using Unmanned Aerial Vehicle Hyperspectral Imagery and Innovative Vegetation Indices.

Jie Deng, Rui Wang, Lujia Yang, Xuan Lv, Ziqian Yang, Kai Zhang, Congying Zhou, Pengju Liu, Zhifang Wang, Ahsan Abdullah, Zhanhong Ma

IEEE Trans. Geosci. Remote. Sens., 2023

Traffic-Oriented Shellcode Detection Based on VSM.

Pengju Liu, Baojiang Cui, Can Cui

Proceedings of the Advances in Internet, Data & Web Technologies, 2023

2022

Robust deep ensemble method for real-world image denoising.

Pengju Liu, Hongzhi Zhang, Jinghui Wang, Yuzhi Wang, Dongwei Ren, Wangmeng Zuo

Neurocomputing, 2022

Adversarial learning-based multi-timescale network resource management in multi-mode green IoT network for smart building.

Cheng Shi, Pengju Liu, Yapeng Chen, Zhenyu Zhou, Junzhong Yang, Chenkai Zhao, Bei Chen, Sen Yang, Shahid Mumtaz

IET Commun., 2022

2021

Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-Scale Satellite Images.

Tao Yu, Pengju Liu, Qiang Zhang, Yi Ren, Jingning Yao

Remote. Sens., 2021

2020

DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System.

Pengfei Sun, Pengju Liu, Qi Li, Chenxi Liu, Xiangling Lu, Ruochen Hao, Jinpeng Chen

Secur. Commun. Networks, 2020

Learning cascaded convolutional networks for blind single image super-resolution.

Pengju Liu, Hongzhi Zhang, Yue Cao, Shigang Liu, Dongwei Ren, Wangmeng Zuo

Neurocomputing, 2020

2019

Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach.

Zhenyu Zhou, Pengju Liu, Junhao Feng, Yan Zhang, Shahid Mumtaz, Jonathan Rodriguez

IEEE Trans. Veh. Technol., 2019

Multi-Level Wavelet Convolutional Neural Networks.

Pengju Liu, Hongzhi Zhang, Wei Lian, Wangmeng Zuo

IEEE Access, 2019

Matching-Based Task Offloading for Vehicular Edge Computing.

Pengju Liu, Junluo Li, Zhongwei Sun

IEEE Access, 2019

Network Traffic Anomaly Detection Based on Information Gain and Deep Learning.

Xianglin Lu, Pengju Liu, Jiayi Lin

Proceedings of the 3rd International Conference on Information System and Data Mining, 2019

An Intrusion Detection System Based on Convolutional Neural Network.

Pengju Liu

Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, 2019

Resource Allocation for Energy Harvesting Based Cognitive Machine-to-Machine Communications.

Chuntian Zhang, Zhenyu Zhou, Pengju Liu, Bo Gu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

NTIRE 2019 Challenge on Image Enhancement: Methods and Results.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Energy-efficient workload offloading and power control in vehicular edge computing.

Zhenyu Zhou, Pengju Liu, Zheng Chang, Chen Xu, Yan Zhang

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference Workshops, 2018

Multi-Level Wavelet-CNN for Image Restoration.

Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

How can a sparse representation be made applicable for very low-dimensional data?

Hongzhi Zhang, Feng Li, Pengju Liu, Yan Chen, Dongwei Ren, Kuanquan Wang

Expert Syst. Appl., 2017

2016

Class relatedness oriented-discriminative dictionary learning for multiclass image classification.

Dongyu Zhang, Pengju Liu, Kai Zhang, Hongzhi Zhang, Qing Wang, Xiao-Yuan Jing

Pattern Recognit., 2016

2015

Class Relatedness Oriented Discriminative Dictionary Learning.

Pengju Liu, Hongzhi Zhang, Kai Zhang, Changchun Luo, Wangmeng Zuo

Proceedings of the Computer Vision - CCF Chinese Conference, 2015