Nan Zhao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 50

Top Topics

Tampering Detection

Wireless Networks

Handwritten Character Recognition

Top Venues

Int. J. Mob. Comput. Multim. Commun.

IEEE Trans. Veh. Technol.

IEEE Commun. Lett.

Publications

Haina Song, Hua Shen, Nan Zhao, Zhangqing He, Wei Xiong, Minghu Wu, Mingwu Zhang
Adaptive personalized privacy-preserving data collection scheme with local differential privacy. J. King Saud Univ. Comput. Inf. Sci. 36 (5) (2024)
Chunyan Zeng, Shuai Kong, Zhifeng Wang, Shixiong Feng, Nan Zhao, Juan Wang
Deletion and insertion tampering detection for speech authentication based on fluctuating super vector of electrical network frequency. Speech Commun. 158 (2024)
Jinlian Chen, Jun Zhang, Nan Zhao, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Joint Device Participation, Dataset Management, and Resource Allocation in Wireless Federated Learning via Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 73 (3) (2024)
Chunyan Zeng, Shixiong Feng, Zhifeng Wang, Xiangkui Wan, Yunfan Chen, Nan Zhao
Spatio-temporal representation learning enhanced source cell-phone recognition from speech recordings. J. Inf. Secur. Appl. 80 (2024)
Nan Zhao, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
A Deep Reinforcement Learning-Based Contract Incentive Mechanism for Mobile Crowdsourcing Networks. IEEE Trans. Veh. Technol. 73 (3) (2024)
Nan Zhao, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Deep-Reinforcement-Learning-Based Contract Incentive Mechanism for Joint Sensing and Computation in Mobile Crowdsourcing Networks. IEEE Internet Things J. 11 (7) (2024)
Nan Zhao, Wei Du, Fan Ren, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Joint Task Offloading, Resource Sharing and Computation Incentive for Edge Computing Networks. IEEE Commun. Lett. 27 (1) (2023)
Nan Zhao, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Multi-Agent Deep Reinforcement Learning Based Incentive Mechanism for Multi-Task Federated Edge Learning. IEEE Trans. Veh. Technol. 72 (10) (2023)
Chunyan Zeng, Kang Yan, Zhifeng Wang, Yan Yu, Shiyan Xia, Nan Zhao
Abs-CAM: a gradient optimization interpretable approach for explanation of convolutional neural networks. Signal Image Video Process. 17 (4) (2023)
Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao, Minghu Wu
Cascade neural network-based joint sampling and reconstruction for image compressed sensing. Signal Image Video Process. 16 (1) (2022)
Nan Zhao, Aonan Wu, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Spatial-Temporal Aggregation Graph Convolution Network for Efficient Mobile Cellular Traffic Prediction. IEEE Commun. Lett. 26 (3) (2022)
Chunyan Zeng, Shixiong Feng, Zhifeng Wang, Xiangkui Wan, Yunfan Chen, Nan Zhao
Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings. CoRR (2022)
Nan Zhao, Qixuan Wan, Jinlian Chen, Minghu Wu
Dynamic incentive mechanism in mobile crowdsourcing networks by combining reputation and contract theory. Int. J. Distributed Sens. Networks 18 (6) (2022)
Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao, Minghu Wu
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing. CoRR (2022)
Zhifeng Wang, Yao Yang, Chunyan Zeng, Shuai Kong, Shixiong Feng, Nan Zhao
Audio Tampering Detection Based on Shallow and Deep Feature Representation Learning. CoRR (2022)
Zhifeng Wang, Yao Yang, Chunyan Zeng, Shuai Kong, Shixiong Feng, Nan Zhao
Shallow and deep feature fusion for digital audio tampering detection. EURASIP J. Adv. Signal Process. 2022 (1) (2022)
Chunyan Zeng, Kang Yan, Zhifeng Wang, Yan Yu, Shiyan Xia, Nan Zhao
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks. CoRR (2022)
Chunyan Zeng, Dongliang Zhu, Zhifeng Wang, Minghu Wu, Wei Xiong, Nan Zhao
End-to-end Recording Device Identification Based on Deep Representation Learning. CoRR (2022)
Nan Zhao, Zhiyang Ye, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Trans. Wirel. Commun. 21 (9) (2022)
Changliang Yu, Zhiyang Ye, Nan Zhao
Graph Convolution Network for Urban Mobile Traffic Prediction. INCoS (2021)
Nan Zhao, Fan Ren, Wei Du, Zhiyang Ye
Deep Reinforcement Learning for Task Offloading and Power Allocation in UAV-Assisted MEC System. Int. J. Mob. Comput. Multim. Commun. 12 (4) (2021)
Minghu Wu, Song Cai, Chunyan Zeng, Zhifeng Wang, Nan Zhao, Li Zhu, Juan Wang
Big data analytics: an improved method for large-scale fabrics detection based on feature importance analysis from cascaded representation. Int. J. Grid Util. Comput. 12 (1) (2021)
Xinying Chen, Min Sheng, Nan Zhao, Wei Xu, Dusit Niyato
Finite-Blocklength Multi-Antenna Covert Communication Aided By A UAV Relay. GLOBECOM (2021)
Chunyan Zeng, Dongliang Zhu, Zhifeng Wang, Minghu Wu, Wei Xiong, Nan Zhao
Spatial and temporal learning representation for end-to-end recording device identification. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Nan Zhao, Pengfei Fan, Yiqiang Cheng
Dynamic Contract Incentives Mechanism for Traffic Offloading in Multi-UAV Networks. Wirel. Commun. Mob. Comput. 2020 (2020)
Minghu Wu, Songnan Lv, Chunyan Zeng, Zhifeng Wang, Nan Zhao, Li Zhu, Juan Wang, Ming Wu
A Hybrid Recommender Method Based on Multiple Dimension Attention Analysis. Int. J. Mob. Comput. Multim. Commun. 11 (1) (2020)
Nan Zhao, Zhiyang Ye, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Spatial-Temporal Attention-Convolution Network for Citywide Cellular Traffic Prediction. IEEE Commun. Lett. 24 (11) (2020)
Nan Zhao, Yiqiang Cheng, Yiyang Pei, Ying-Chang Liang, Dusit Niyato
Deep Reinforcement Learning for Trajectory Design and Power Allocation in UAV Networks. ICC (2020)
Nan Zhao, Zehua Liu, Yiqiang Cheng, Chao Tian
Multi-Agent Actor Critic for Channel Allocation in Heterogeneous Networks. Int. J. Mob. Comput. Multim. Commun. 11 (1) (2020)
Chunyan Zeng, Dongliang Zhu, Zhifeng Wang, Zhenghui Wang, Nan Zhao, Lu He
An end-to-end deep source recording device identification system for Web media forensics. Int. J. Web Inf. Syst. 16 (4) (2020)
Nan Zhao, Zehua Liu, Yiqiang Cheng
Multi-Agent Deep Reinforcement Learning for Trajectory Design and Power Allocation in Multi-UAV Networks. IEEE Access 8 (2020)
Nan Zhao, Pengfei Fan, Xiao He, Menglin Fan, Chao Tian
Two-Stage Dynamic Contract Design Under Asymmetric Information in Cooperative Communication. BWCCA (2019)
Nan Zhao, Menglin Fan, Chao Tian, Pengfei Fan, Xiao He
Multi-dimensional Contract Incentive Design for Mobile Crowdsourcing Networks. BWCCA (2019)
Minghu Wu, Xiang Li, Cong Liu, Min Liu, Nan Zhao, Juan Wang, Xiangkui Wan, Zheheng Rao, Li Zhu
Robust global motion estimation for video security based on improved k-means clustering. J. Ambient Intell. Humaniz. Comput. 10 (2) (2019)
Nan Zhao, Ying-Chang Liang, Dusit Niyato, Yiyang Pei, Minghu Wu, Yunhao Jiang
Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks. IEEE Trans. Wirel. Commun. 18 (11) (2019)
Zheheng Rao, Chunyan Zeng, Minghu Wu, Zhifeng Wang, Nan Zhao, Min Liu, Xiangkui Wan
Research on a handwritten character recognition algorithm based on an extended nonlinear kernel residual network. KSII Trans. Internet Inf. Syst. 12 (1) (2018)
Nan Zhao, Ying-Chang Liang, Dusit Niyato, Yiyang Pei, Yunhao Jiang
Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Networks. GLOBECOM (2018)
Nan Zhao, Chao Tian, Menglin Fan, Minghu Wu, Xiao He, Pengfei Fan
Deep Reinforcement Learning for Mobile Video Offloading in Heterogeneous Cellular Networks. Int. J. Mob. Comput. Multim. Commun. 9 (4) (2018)
Nan Zhao, Pengfei Fan, Minghu Wu, Xiao He, Menglin Fan, Chao Tian
Dynamic Incentive Mechanism for Direct Energy Trading. IMIS (2018)
Nan Zhao, Rui Liu, Yang Chen, Minghu Wu, Yunhao Jiang, Wei Xiong, Cong Liu
Contract design for relay incentive mechanism under dual asymmetric information in cooperative networks. Wirel. Networks 24 (8) (2018)
Minghu Wu, Yaqi Lu, Nan Zhao, Min Liu, Cong Liu, Shangli Zhou
Image super-resolution via Gaussian scale patch group sparse representation. Int. J. Intell. Inf. Database Syst. 11 (2/3) (2018)
Nan Zhao, Xiao He, Minghu Wu, Pengfei Fan, Menglin Fan, Chao Tian
Deep Q-Network for User Association in Heterogeneous Cellular Networks. CISIS (2018)
Nan Zhao, Ying-Chang Liang, Yiyang Pei
Dynamic Contract Incentive Mechanism for Cooperative Wireless Networks. IEEE Trans. Veh. Technol. 67 (11) (2018)
Zheheng Rao, Chunyan Zeng, Nan Zhao, Min Liu, Minghu Wu, Zhifeng Wang
A Deep Network with Composite Residual Structure for Handwritten Character Recognition. EIDWT (2017)
Nan Zhao, Ying-Chang Liang, Yiyang Pei
Dynamic Contract Design for Cooperative Wireless Networks. GLOBECOM (2017)
Li Zhu, Minghu Wu, Xiangkui Wan, Nan Zhao, Wei Xiong
Image Recognition of Rapeseed Pests Based on Random Forest Classifier. Int. J. Inf. Technol. Web Eng. 12 (3) (2017)
Yaqi Lu, Minghu Wu, Nan Zhao, Min Liu, Cong Liu
Gaussian Scale Patch Group Sparse Representation for Image Restoration. EIDWT (2017)
Nan Zhao, Menglin Fan, Chao Tian, Pengfei Fan
Contract-Based Incentive Mechanism for Mobile Crowdsourcing Networks. Algorithms 10 (3) (2017)
Nan Zhao, Yang Chen, Rui Liu, Minghu Wu, Wei Xiong
Monitoring strategy for relay incentive mechanism in cooperative communication networks. Comput. Electr. Eng. 60 (2017)
Nan Zhao, Minghu Wu, Wei Xiong, Cong Liu, Li Zhu
Incentive Mechanisms for Cooperative Wireless Networks with Adverse Selection and Moral Hazard. Int. J. Wirel. Inf. Networks 23 (4) (2016)
Nan Zhao, Minghu Wu, Wei Xiong, Cong Liu
Optimal Contract Design for Cooperative Relay Incentive Mechanism under Moral Hazard. J. Electr. Comput. Eng. 2015 (2015)
Nan Zhao, Minghu Wu, Wei Xiong, Cong Liu
Cooperative Communication in Cognitive Radio Networks under Asymmetric Information: A Contract-Theory Based Approach. Int. J. Distributed Sens. Networks 11 (2015)