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ORCIDJie Feng 0004
Person information
- affiliation (PhD 2020): Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China
- not to be confused with: Jie Feng 0003
Other persons with the same name
- Jie Feng — disambiguation page
- Jie Feng 0001 — Peking University, Institute of Computer Science and Technology, Beijing, China
- Jie Feng 0002
![[0000-0003-3279-7117]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3279-7117")
— Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China - Jie Feng 0003 — Xidian University, School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China (and 1 more)
- Jie Feng 0005 — University of Nebraska-Lincoln, Department of Computer Science and Engineering, Lincoln, NE, USA
- Jie Feng 0006 — University of California, San Diego, CA, USA (and 1 more)
- Jie Feng 0007 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, China
- Jie Feng 0008 — Jihua Laboratory, Laboratory of Microwave and Vacuum Technology, Foshan, China (and 1 more)
- Jie Feng 0009 — Shengyang University of Technology, School of Chemical Equipment, Liaoyang, China
- Jie Feng 0010 — Zhejiang Sci-Tech University, School of Information Science and Technology, Hangzhou, China
- Jie Feng 0011 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing Key Laboratory of Image Cognition, Chongqing, China
- Jie Feng 0012 — Peking University, Key Laboratory of Machine Perception, Beijing, China
- Jie Feng 0013 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
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2020 – today
- 2024
[j31]Yujie Ye, Zitong Zhao, Lei Liu, Jie Feng, Jun Du, Qingqi Pei:
Federated Generative Artificial Intelligence Empowered Traffic Flow Prediction Under Vehicular Computing Power Networks. IEEE Internet Things Mag. 7(3): 56-61 (2024)- [j30]Yang Ming, Shan Wang, Chenhao Wang, Hang Liu, Yutong Deng, Yi Zhao, Jie Feng:
VCSA: Verifiable and collusion-resistant secure aggregation for federated learning using symmetric homomorphic encryption. J. Syst. Archit. 156: 103279 (2024) - [j29]Lei Liu, Jie Feng, Celimuge Wu, Chen Chen, Qingqi Pei:
Reputation Management for Consensus Mechanism in Vehicular Edge Metaverse. IEEE J. Sel. Areas Commun. 42(4): 919-932 (2024) - [j28]Ming Tao, Xueqiang Li, Jie Feng, Dapeng Lan, Jun Du, Celimuge Wu:
Multi-Agent Cooperation for Computing Power Scheduling in UAVs Empowered Aerial Computing Systems. IEEE J. Sel. Areas Commun. 42(12): 3521-3535 (2024) - [j27]Lei Liu, Junqi Fu, Jie Feng, Guopeng Wang, Qingqi Pei, Schahram Dustdar:
Blockchain-Based Distributed Collaborative Computing for Vehicular Digital Twin Network. IEEE Netw. 38(2): 164-170 (2024) - [j26]Chenhao Wang, Yang Ming, Hang Liu, Jie Feng, Ning Zhang:
Secure and Flexible Data Sharing With Dual Privacy Protection in Vehicular Digital Twin Networks. IEEE Trans. Intell. Transp. Syst. 25(9): 12407-12420 (2024) - [j25]Yuxing Tian, Lei Liu, Jie Feng, Qingqi Pei, Chen Chen, Jun Du, Celimuge Wu:
Toward Robust and Generalizable Federated Graph Neural Networks for Decentralized Spatial-Temporal Data Modeling. IEEE Trans. Netw. Serv. Manag. 21(3): 2637-2650 (2024) - [c15]Yanyan Liao, Jie Feng, Zongjie Zhou, Bodong Shang, Lei Liu, Qingqi Pei:
Quality-aware Client Selection and Resource Optimization for Federated Learning in Computing Networks. ICC 2024: 2628-2633 - [c14]Xiaoteng Yang, Jie Feng, Xifei Song, Feng Xu, Yuan Liu, Qingqi Pei, Celimuge Wu:
Multi-Aspect Edge Device Association Based on Time-Series Dynamic Interaction Networks. INFOCOM (Workshops) 2024: 1-6 - [c13]Xiaoteng Yang, Lei Liu, Xifei Song, Jie Feng, Qingqi Pei, Xiaoming Yuan, Jianqiao Li:
An Efficient Lightweight Satellite Image Classification Model with Improved MobileNetV3. INFOCOM (Workshops) 2024: 1-6 - [c12]Yiting Yan, Ying Ju, Suheng Tian, Lei Liu, Jie Feng, Jianbo Du, Qingqi Pei, Celimuge Wu:
Secure NOMA-Assisted Multi-User mmWave Vehicular Communications Using Artificial Noise. VTC Spring 2024: 1-6 - 2023
- [j24]Zhaowei Ma, Xiaoming Yuan, Kai Liang, Jie Feng, Li Zhu, Dajun Zhang, F. Richard Yu:
Blockchain-escorted distributed deep learning with collaborative model aggregation towards 6G networks. Future Gener. Comput. Syst. 141: 555-566 (2023) - [j23]Jie Feng, Lei Liu, Xiangwang Hou, Qingqi Pei, Celimuge Wu:
QoE Fairness Resource Allocation in Digital Twin-Enabled Wireless Virtual Reality Systems. IEEE J. Sel. Areas Commun. 41(11): 3355-3368 (2023) - [j22]Xiaopeng Yu, Jie Feng, Wei Zhao, Haomiao Yang, Dianhua Tang:
Peer-to-peer privacy-preserving vertical federated learning without trusted third-party coordinator. Peer Peer Netw. Appl. 16(5): 2242-2255 (2023) - [j21]Lei Liu, Jie Feng, Xuanyu Mu, Qingqi Pei, Dapeng Lan, Ming Xiao:
Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing. IEEE Trans. Intell. Transp. Syst. 24(12): 15513-15526 (2023) - [j20]Lei Liu, Yuxing Tian, Chinmay Chakraborty, Jie Feng, Qingqi Pei, Li Zhen, Keping Yu:
Multilevel Federated Learning-Based Intelligent Traffic Flow Forecasting for Transportation Network Management. IEEE Trans. Netw. Serv. Manag. 20(2): 1446-1458 (2023) - [j19]Huizi Xiao, Lin Cai, Jie Feng, Qingqi Pei, Weisong Shi:
Resource Optimization of MAB-Based Reputation Management for Data Trading in Vehicular Edge Computing. IEEE Trans. Wirel. Commun. 22(8): 5278-5290 (2023) - [j18]Huizi Xiao, Jun Zhao, Jie Feng, Lei Liu, Qingqi Pei, Weisong Shi:
Joint Optimization of Security Strength and Resource Allocation for Computation Offloading in Vehicular Edge Computing. IEEE Trans. Wirel. Commun. 22(12): 8751-8765 (2023) - [c11]Xifei Song, Lei Liu, Junqi Fu, Xueyao Zhang, Jie Feng, Qingqi Pei:
A Reinforcement Learning-based DAG Tasks Scheduling in Edge-Cloud Collaboration Systems. GLOBECOM 2023: 1771-1776 - [c10]Suheng Tian, Ying Ju, Mingjie Yang, Lei Liu, Jie Feng, Qingqi Pei, Mian Ahmad Jan, Celimuge Wu:
Blockage-Based Cooperative Jamming for Secure Terahertz Transmissions in Indoor Networks. VTC Fall 2023: 1-5 - 2022
- [j17]Yang Ming, Chenhao Wang, Hang Liu, Yi Zhao, Jie Feng, Ning Zhang, Weisong Shi:
Blockchain-Enabled Efficient Dynamic Cross-Domain Deduplication in Edge Computing. IEEE Internet Things J. 9(17): 15639-15656 (2022) - [j16]Jie Feng, Wenjing Zhang, Qingqi Pei, Jinsong Wu, Xiaodong Lin:
Heterogeneous Computation and Resource Allocation for Wireless Powered Federated Edge Learning Systems. IEEE Trans. Commun. 70(5): 3220-3233 (2022) - [j15]Huizi Xiao, Jun Zhao, Qingqi Pei, Jie Feng, Lei Liu, Weisong Shi:
Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing. IEEE Trans. Intell. Transp. Syst. 23(8): 11073-11087 (2022) - [j14]Jie Feng, Lei Liu, Qingqi Pei, Keqin Li:
Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks. IEEE Trans. Parallel Distributed Syst. 33(11): 2687-2700 (2022) - [c9]Siyuan Liang, Chunting Wang, Haotong Cao, Jie Feng, Wenle Sun:
Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON System in Industrial Internet Based on Compressed Sensing. ICC Workshops 2022: 1189-1194 - 2021
- [j13]Lei Liu, Jie Feng, Qingqi Pei, Chen Chen, Yang Ming, Bodong Shang, Mianxiong Dong:
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor-Critic Learning Approach. IEEE Internet Things J. 8(4): 2342-2353 (2021) - [j12]Jie Feng, Lei Liu, Qingqi Pei, Fen Hou, Tingting Yang, Jinsong Wu:
Service Characteristics-Oriented Joint Optimization of Radio and Computing Resource Allocation in Mobile-Edge Computing. IEEE Internet Things J. 8(11): 9407-9421 (2021) - [j11]Jianbo Du, Yan Sun, Aijing Sun, Guangyue Lu, Zhixian Chang, Haotong Cao, Jie Feng:
Cost-Effective Optimization for Blockchain-Enabled NOMA-Based MEC Networks. Secur. Commun. Networks 2021: 8259817:1-8259817:9 (2021) - [j10]Sun Mao, Xiaoli Chu, Qingqing Wu, Lei Liu, Jie Feng:
Intelligent Reflecting Surface Enhanced D2D Cooperative Computing. IEEE Wirel. Commun. Lett. 10(7): 1419-1423 (2021) - [c8]Fayuan Zhu, Jie Yin, Lei Liu, Jie Feng, Zhangquan Wang:
A Scalable and Secure Consensus Scheme Based on Proof of Stake in Blockchain. BlockSys 2021: 287-301 - [c7]Jie Feng, Wenjing Zhang, Lei Liu, Jianbo Du, Ming Xiao, Qingqi Pei:
Task Scheduling and Resource Management in MEC-Enabled Computing Networks. MONAMI 2021: 127-137 - [i1]Sun Mao, Xiaoli Chu, Qingqing Wu, Lei Liu, Jie Feng:
Intelligent Reflecting Surface Enhanced D2D Cooperative Computing. CoRR abs/2103.04073 (2021) - 2020
- [j9]Jie Feng, F. Richard Yu, Qingqi Pei, Xiaoli Chu, Jianbo Du, Li Zhu:
Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 7(7): 6214-6228 (2020) - [j8]Jie Feng, Qingqi Pei, F. Richard Yu, Xiaoli Chu, Jianbo Du, Li Zhu:
Dynamic Network Slicing and Resource Allocation in Mobile Edge Computing Systems. IEEE Trans. Veh. Technol. 69(7): 7863-7878 (2020) - [j7]Jie Feng, F. Richard Yu, Qingqi Pei, Jianbo Du, Li Zhu:
Joint Optimization of Radio and Computational Resources Allocation in Blockchain-Enabled Mobile Edge Computing Systems. IEEE Trans. Wirel. Commun. 19(6): 4321-4334 (2020) - [c6]Jianbo Du, Nana Xue, Daosen Zhai, Haotong Cao, Jie Feng, Guangyue Lu:
Energy-efficient User Clustering and Resource Management for NOMA Based MEC Systems. GLOBECOM (Workshops) 2020: 1-6 - [c5]Jie Li, Jie Feng, Qingqi Pei, Jianbo Du:
Deep Reinforcement Learning for Blockchain-Enabled Mobile Edge Computing Systems. GLOBECOM (Workshops) 2020: 1-6
2010 – 2019
- 2019
- [j6]Xiantao Jiang, Jie Feng, Tian Song, Takafumi Katayama:
Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks. Sensors 19(8): 1927 (2019) - [j5]Jianbo Du, F. Richard Yu, Xiaoli Chu, Jie Feng, Guangyue Lu:
Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization. IEEE Trans. Veh. Technol. 68(2): 1079-1092 (2019) - [j4]Jianbo Du, Liqiang Zhao, Xiaoli Chu, F. Richard Yu, Jie Feng, Chih-Lin I:
Enabling Low-Latency Applications in LTE-A Based Mixed Fog/Cloud Computing Systems. IEEE Trans. Veh. Technol. 68(2): 1757-1771 (2019) - [j3]Jie Feng, Qingqi Pei, F. Richard Yu, Xiaoli Chu, Bodong Shang:
Computation Offloading and Resource Allocation for Wireless Powered Mobile Edge Computing With Latency Constraint. IEEE Wirel. Commun. Lett. 8(5): 1320-1323 (2019) - 2018
- [j2]Jianbo Du, Liqiang Zhao, Jie Feng, Xiaoli Chu:
Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee. IEEE Trans. Commun. 66(4): 1594-1608 (2018) - [c4]Jianbo Du, Liqiang Zhao, Jie Feng, Xiaoli Chu, F. Richard Yu:
Economical Revenue Maximization in Cache Enhanced Mobile Edge Computing. ICC 2018: 1-6 - [c3]Jie Feng, Liqiang Zhao, Jianbo Du, Xiaoli Chu, F. Richard Yu:
Energy-Efficient Resource Allocation in Fog Computing Supported IoT with Min-Max Fairness Guarantees. ICC 2018: 1-6 - [c2]Jie Feng, Liqiang Zhao, Jianbo Du, Xiaoli Chu, F. Richard Yu:
Computation Offloading and Resource Allocation in D2D-Enabled Mobile Edge Computing. ICC 2018: 1-6 - 2017
- [j1]Xiaoqin Shen, Yang Ming, Jie Feng:
Identity Based Generalized Signcryption Scheme in the Standard Model. Entropy 19(3): 121 (2017) - 2016
- [c1]Jie Feng, Liqiang Zhao, Chen Chen, Zhiyuan Ren, Jianbo Du:
User-Oriented Load Balance in Software-Defined Campus WLANs. VTC Spring 2016: 1-5
Coauthor Index
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