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ORCIDNan Zhao 0006
Person information
- affiliation: Hubei University of Technology, Hubei Collaborative Innovation Center for High-efficient Utilization of Solar Energy, Wuhan, China
- affiliation: University of Electronic Science and Technology of China, Chengdu, China
- affiliation (PhD 2013): Wuhan University, China
Other persons with the same name
- Nan Zhao — disambiguation page
- Nan Zhao 0001
![[0000-0002-6497-7799]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6497-7799")
— Dalian University of Technology, School of Information and Communication Engineering, China (and 1 more) - Nan Zhao 0002 — Mississippi State University, College of Veterinary Medicine, Department of Basic Sciences, MS, USA (and 2 more)
- Nan Zhao 0003 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Nan Zhao 0004 — Beijing Jiaotong University, Institute of Power Electronics and Electric Traction, China
- Nan Zhao 0005 — Xidian University, School of Electronic Engineering, Xi'an, China
- Nan Zhao 0007 — Jilin University, College of Communication Engineering, Changchun, China
- Nan Zhao 0008 — Massachusetts Institute of Technology Media Lab, MIT Media Lab, Responsive Environments Group, Cambridge, MA, USA
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Journal Articles
- 2024
[j35]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): 12755-12767 (2024)- [j34]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: 103672 (2024) - [j33]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): 4505-4510 (2024) - [j32]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): 4511-4516 (2024) - 2023
- [j31]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): 258-262 (2023) - [j30]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): 1069-1076 (2023) - [j29]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): 13530-13535 (2023) - 2022
- [j28]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): 69 (2022) - [j27]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): 587-591 (2022) - [j26]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): 155013292211043 (2022) - [j25]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): 47-54 (2022) - [j24]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): 6949-6960 (2022) - 2021
- [j23]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): 41 (2021) - [j22]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): 81-93 (2021) - [j21]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): 32-51 (2021) - 2020
- [j20]Nan Zhao, Zehua Liu, Yiqiang Cheng:
Multi-Agent Deep Reinforcement Learning for Trajectory Design and Power Allocation in Multi-UAV Networks. IEEE Access 8: 139670-139679 (2020) - [j19]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): 2532-2536 (2020) - [j18]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): 23-41 (2020) - [j17]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): 42-57 (2020) - [j16]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): 413-425 (2020) - [j15]Nan Zhao, Pengfei Fan, Yiqiang Cheng:
Dynamic Contract Incentives Mechanism for Traffic Offloading in Multi-UAV Networks. Wirel. Commun. Mob. Comput. 2020: 2361029:1-2361029:11 (2020) - 2019
- [j14]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): 439-448 (2019) - [j13]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): 5141-5152 (2019) - 2018
- [j12]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): 186-206 (2018) - [j11]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): 34-57 (2018) - [j10]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): 413-435 (2018) - [j9]Nan Zhao, Ying-Chang Liang, Yiyang Pei:
Dynamic Contract Incentive Mechanism for Cooperative Wireless Networks. IEEE Trans. Veh. Technol. 67(11): 10970-10982 (2018) - [j8]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): 3029-3044 (2018) - 2017
- [j7]Nan Zhao, Menglin Fan, Chao Tian, Pengfei Fan:
Contract-Based Incentive Mechanism for Mobile Crowdsourcing Networks. Algorithms 10(3): 104 (2017) - [j6]Nan Zhao, Yang Chen, Rui Liu, Minghu Wu, Wei Xiong:
Monitoring strategy for relay incentive mechanism in cooperative communication networks. Comput. Electr. Eng. 60: 14-29 (2017) - [j5]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): 1-10 (2017) - [j4]Nan Zhao:
A Contract-Based Model for Multiuser Cooperative Relay in Wireless Communication Networks. Wirel. Pers. Commun. 96(4): 5105-5121 (2017) - 2016
- [j3]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): 273-282 (2016) - 2015
- [j2]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: 676195:1-676195:11 (2015) - [j1]Nan Zhao, Minghu Wu, Wei Xiong, Cong Liu:
Optimal Contract Design for Cooperative Relay Incentive Mechanism under Moral Hazard. J. Electr. Comput. Eng. 2015: 690807:1-690807:7 (2015)
Conference and Workshop Papers
- 2021
- [c14]Xinying Chen, Min Sheng, Nan Zhao, Wei Xu, Dusit Niyato:
Finite-Blocklength Multi-Antenna Covert Communication Aided By A UAV Relay. GLOBECOM 2021: 1-6 - [c13]Changliang Yu, Zhiyang Ye, Nan Zhao:
Graph Convolution Network for Urban Mobile Traffic Prediction. INCoS 2021: 218-224 - [c12]Changliang Yu, Wei Du, Fan Ren, Nan Zhao:
Deep Reinforcement Learning for Task Allocation in UAV-enabled Mobile Edge Computing. INCoS 2021: 225-232 - 2020
- [c11]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: 1-6 - [c10]Nan Zhao, Huiwen Tan, Zehua Liu:
A Contract-Based Incentive Mechanism for Traffic Offloading in Two-tier Heterogeneous Networks. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 246-251 - 2019
- [c9]Nan Zhao, Menglin Fan, Chao Tian, Pengfei Fan, Xiao He:
Multi-dimensional Contract Incentive Design for Mobile Crowdsourcing Networks. BWCCA 2019: 570-578 - [c8]Nan Zhao, Pengfei Fan, Xiao He, Menglin Fan, Chao Tian:
Two-Stage Dynamic Contract Design Under Asymmetric Information in Cooperative Communication. BWCCA 2019: 630-637 - 2018
- [c7]Nan Zhao, Xiao He, Minghu Wu, Pengfei Fan, Menglin Fan, Chao Tian:
Deep Q-Network for User Association in Heterogeneous Cellular Networks. CISIS 2018: 398-407 - [c6]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: 1-6 - [c5]Nan Zhao, Pengfei Fan, Minghu Wu, Xiao He, Menglin Fan, Chao Tian:
Dynamic Incentive Mechanism for Direct Energy Trading. IMIS 2018: 403-411 - 2017
- [c4]Li Zhu, Guoguang Ma, Nan Zhao:
Multimedia Information Publishing Platform based on Server Cluster and Internet of Screens. BDIOT 2017: 220-224 - [c3]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: 160-166 - [c2]Yaqi Lu, Minghu Wu, Nan Zhao, Min Liu, Cong Liu:
Gaussian Scale Patch Group Sparse Representation for Image Restoration. EIDWT 2017: 518-523 - [c1]Nan Zhao, Ying-Chang Liang, Yiyang Pei:
Dynamic Contract Design for Cooperative Wireless Networks. GLOBECOM 2017: 1-6
Informal and Other Publications
- 2022
- [i5]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 abs/2207.03648 (2022) - [i4]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 abs/2208.12753 (2022) - [i3]Zhifeng Wang, Yao Yang, Chunyan Zeng, Shuai Kong, Shixiong Feng, Nan Zhao:
Audio Tampering Detection Based on Shallow and Deep Feature Representation Learning. CoRR abs/2210.10506 (2022) - [i2]Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao, Minghu Wu:
JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing. CoRR abs/2211.05963 (2022) - [i1]Chunyan Zeng, Dongliang Zhu, Zhifeng Wang, Minghu Wu, Wei Xiong, Nan Zhao:
End-to-end Recording Device Identification Based on Deep Representation Learning. CoRR abs/2212.02084 (2022)
Coauthor Index
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