Publications (Full List)

 

Some Recent Publications:

Journals:

43. R. Li*, T. Hirayama, K. Xue, P. Ruan, and H. Asaeda, “CON: A Computation-Oriented Network for Efficient Edge Intelligence,” IEEE Network. (Accepted)

42. J. Chen, H. Wu, R. Li, and P. Jiao, “Green Parallel Online Offloading in the IoT-Edge Systems for DSCI-type Task,” IEEE Transactions on Industrial Informatics. (Accepted)

41. J. Li, M. Wang, K. Xue, R. Li, N. Yu, Q. Sun, and J. Lu, “Fidelity-Guaranteed Entanglement Routing in Quantum Networks,” IEEE Transactions on Communications, 2022. (Accepted)

40. P. Manzoni, R. Li, M. Zennaro, S. Figueria, “Guest Editorial Special Issue on Sustainable Solutions for the Internet of Things,” IEEE Internet of Things Journal, vol. 9, issue 10, May 15 2022.

39. M. Dai, T. Luan, Z. Su, N. Zhang, Q. Xu, and R. Li, “Joint Channel Allocation and Data Delivery for UAV-Assisted Cooperative Transportation Communications in Post-Disaster Networks,” IEEE Intelligent Transportation Systems Transactions. (Accepted) 

38. X. Huang, K. Xue, Y. Xing, D. Hu, R. Li, and Q. Sun, “An Efficient Scheme to Defend Data-to-Control-Plane Saturation Attacks in Software-Defined Networking,” Journal of Computer Science and Technology, vol. 37, no. 4, pp. 839–851, July 2022.

37. R. Xing, Z. Su, T. H. Luan, Q. Xu, Y. Wang, and R. Li, “UAVs Aided Delay Tolerant Blockchain Secure Offline Transactions in Post-Disaster Vehicular Networks,” IEEE Transactions on Vehicular Technology. (Accepted)

36. J Chen, H Wu, R. Li, P Jiao, “Green-Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems,” IEEE Transactions on Industrial Informatics. (Accepted)

35. H. Tang, H. Wu, G. Qu, and R. Li, “Double Deep Q-Network based Dynamic Framing Offloading in Vehicular Edge Computing,” IEEE Transactions on Network Science and Engineering. (Accepted)

34. Z. Zhou, M. Shojafar, R. Li, and R. Tafazolli, “EVCT: An energy, cost and bandwidth-efficient VM deployment algorithm in a software-defined data center,” IEEE Transactions on Green Communications and Networking. (Accepted)

33. J. Li , Y. Deng , W. Sun , W. Li , R. Li, Q. Li , Z. Liu, “Resource Orchestration of Cloud-edge based Smart Grid Fault Detection,” ACM Transactions on Sensor Networks. (Accepted)

32. Z. Fadlullah, M. Fouda, K. Rabie, and R. Li, “Smart, Optimal, and Explainable Orchestration of Network Slices in 5G and Beyond Networks (Guest Editorial),” IEEE Wireless Communications, vol. 29, issue 1, Feb. 2022.

31. A. Lahmadi, E. Bertin, and R. Li, “BRAINS 2020 special issue: Blockchain research and applications for innovative networks and services (Guest Editorial),” International Journal of Network Management, 32(2), 2022.

30. M. Xie, H. Wu, and R. Li, “DNN Migration in IoTs: Emerging Technologies, Current Challenges and Open Research Directions,” IEEE Consumer Electronics Magazine. (Accepted)

29. X. Hu, C. Zhu, G. Cheng, Guang, R. Li, H. Wu, and J. Gong, “A Deep Subdomain Adaptation Network with Attention Mechanism for Malware Variant Traffic Identification at an IoT Edge Gateway,” IEEE Internet of Things Journal. (Accepted)

28. X. Hu, C. Zhu, Z. Tong, W. Gao, G. Cheng, R. Li, H. Wu, and J. Gong, “Identifying Ethereum Traffic Based on An Active Node Library and DEVp2p Features,” Future Generation Computer Systems. (Accepted)

27. Y. Wang, Z. Su, N. Zhang, R. Li, “Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions,” IEEE Communication Magazine, vol. 60, Issue 3, Mar. 2022.

26. Y. Wang, W. Chen, T. H. Luan, Z. Su, Q. Xu, R. Li, and N. Chen，“Task Offloading for Post-disaster Rescue in Unmanned Aerial Vehicles Networks，”IEEE/ACM Transactions on Networking, 2022. (Accepted)

25. Z. Li, K. Xue, J. Li, N. Yu, D. Wei, and R. Li, “Connection-oriented and Connectionless Remote Entanglement Distribution Strategies in Quantum Networks,” IEEE Network. (Accepted)

24. Y. Wang, Z. Su, T. Luan, R. Li, and K. Zhang, “Federated Learning with Fair Incentives and Robust Aggregation for UAV-Aided Crowdsensing”, IEEE Transactions on Network Science and Engineering. (Accepted)

23. H. Tang, H. Wu, Y. Zhao, and R. Li, “Joint Computation Offloading and Resource Allocation under Task-Overflowed Situations in Mobile Edge Computing,” IEEE Transactions on Network and Service Management. (Accepted)

22. H. Wu, Z. Zhang, N. Wang, C. Tang, and R. Li, “MR-DRO: A Fast and Efficient Task Offloading Algorithm in Heterogeneous Edge/Cloud Computing Environments,” IEEE Internet of Things Journal. (Accepted)

21. Z. Li, K. Xue, J. Li, N. Yu, D. Wei, and R. Li, “Connection-oriented and Connectionless Remote Entanglement Distribution Strategies in Quantum Networks,” IEEE Network. (Accepted)

20. G. Qu, N. Cui, H. Wu, R. Li, and Y. Ding, “ChainFL: A Simulation Platform for Joint Federated Learning and Blockchain in Edge/Cloud Computing Environments,” IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3117481, 2021. (Accepted)

19. M. Dai, Z. Su, R. Li, and S. Yu, “A SDN-Enabled Approach for Edge-Cloud Computing in Internet of Things,” IEEE Network. (Accepted)

18. M. Xue, H. Wu, R. Li, M. Xu and P. Jiao, “EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environment,” IEEE Transactions on Green Communications and Networking, DOI: 10.1109/TGCN.2021.3111731, 2021. (Accepted)

17, L. Cui, Y. Qu, G. Xie, D. Zeng, R. Li, S. Shen, S. Yu, “Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures,” IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3107783, 2021. (Accepted)

16. J. Tao, T. Han, and R. Li*, “Deep Reinforcement Learning Based Scheme for Intrusion Detection in Aerial Computing Networks,” IEEE Network. (Accepted) 

15. G. Qu, H. Wu, R. Li, and P. Jiao, “DMRO: A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing,” IEEE Transactions on Network and Service Management.  (Accepted)

14. Y. Xing, K. Xue, Y. Zhang, J. Han, J. Li, J. Liu, and R. Li, “A Low-Latency MPTCP Scheduler for Live Video Streaming in Mobile Networks,” IEEE Transactions on Wireless Communications. (Accepted) 

13. P. Cong, Y. Zhang, Z. Liu, T. Baker, H. Tawfik, W. Wang, K. Xu, R. Li, and F. Li, “A Deep Reinforcement Learning-based Multi-Optimality Routing Scheme for Dynamic IoT Networks,” Elsevier Computer Networks. (Accepted)

12. R. Li*, K. Matsuzono, H. Asaeda, and X. Fu, “Achieving High Throughput for Heterogeneous Networks with Consecutive Caching and Adaptive Retrieval,” IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2020.3010939, 2020. (Accepted)

11. Z. Su, M. Dai, Q. Xu, R. Li, and H. Zhang, “UAV Enabled Content Distribution for Internet of Connected Vehicles in 5G Heterogeneous Networks,” IEEE Transactions on Intelligent Transportation Systems. (Accepted)

10. W. Li, Z. Su, R. Li, K. Zhang, and Y. Wang, “Blockchain Based Data Security for Artificial Intelligence Applications Beyond 5G Networks,” IEEE Network, vol. 34, issue 6, Nov./Dec. 2020. 

9. R. Li*, H. Song, J. Cao, P. Barnaghi, J. Li, C. Mavromoustakis, “Big Data Intelligent Networking [Guest Editorial],” IEEE Network, July/Aug. 2020. 

8. H. Zhu, Y. Li, R. Li, J. Li, Z. You, and H. Song, “SEDMDroid: An enhanced stacking ensemble of deep learning framework for Android malware detection,” IEEE Transactions on Network Science and Engineering, 10.1109/TNSE.2020.2996379, 2020.   [IF: 5.213]

7. W. Li , Z. Su, R. Li, K. Zhang, and Q. Xu, “Abnormal Crowd Traffic Detection with Crowdsourcing-based RSS Fingerprint Position in Heterogeneous Communications Networks,” IEEE Transactions on Network Science and Engineering. (Accepted)  [IF: 5.213]

6. M. Dai, Z. Su, R. Li, Y. Wang, J. Ni, and D. Fang, “An Edge-Driven Security Framework for Intelligent Internet of Things,” IEEE Network. (Accepted)

5. Z. Su, M. Dai, Q. Xu, R. Li, and Shu Fu, “Q-learning Based Spectrum Access for Content Delivery in Mobile Networks,” IEEE Transactions on Cognitive Communications and Networking, DOI: 10.1109/TCCN.2020.2971688, 2020. [IF: 8.000]

4. R. Li*, and H. Asaeda, “A Blockchain-based Data Lifecycle Protection Framework for Information-Centric Network,” IEEE Communications Magazine, vol. 57, no. 6, pp. 20-25, June 2019. [IF: 10.356]

3. R. Li*, and H. Asaeda, “MWBS: An Efficient Many-to-Many Wireless Big Data Delivery Scheme,” IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2018.2878584, 2018.  [IF: 5.670]

2. R. Li*, H. Asaeda, and J. Wu, “DCAuth: Data-Centric Authentication for Secure In-Network Big-Data Retrieval,” IEEE Transactions on Network Science and Engineering, DOI: 10.1109/TNSE.2018.2872049, 2018.   [IF: 5.213]

1. R. Li*, H. Asaeda, and J. Li, “A Distributed Publisher-Driven Secure Data Sharing Scheme for Information-Centric IoT,” IEEE Internet of Things Journal, vol. 4, issue 3, pp. 791-803, June 2017. [IF: 9.936]  

International Conference Papers:

1. R. Li, H. Asaeda, “FSCC: Flexible Smart Contract Interaction with Access Control for Blockchain,” IEEE ICC 2021. (Accepted) 

2. P. Cong, Y. Zhang, W. Wang, K. Xu, R. Li, and F. Li, “A Deep Reinforcement Learning-based Routing Scheme with Two Modes for Dynamic Networks,” IEEE ICC 2021. (Accepted) 

3. Q. Xu, Z. Su, R. Li, K. Asatani, “Game Theoretical Secure Bandwidth Allocation in UAV-assisted Heterogeneous Networks,” IEEE ICC 2021. (Accepted) 

4. S. Gao, S. Yao, and R. Li, “Transferable Adversarial Defense by Fusing Reconstruction Learning and Denoising Learning,” IEEE INFOCOM BigSecurity 2021. (Accepted)

5. Y. Wang, Z. Su, Q. Xu, R. Li, H. Luan, “Lifesaving with RescueChain: Energy-Efficient and Partition-Tolerant Blockchain Based Secure Information Sharing for UAV-Aided Disaster Rescue,” IEEE International Conference on Computer Communications (IEEE INFOCOM 2021). (Accepted)

6. X. Hu, J. Yin, S. Zheng, R. Li, G. Cheng, and J. Gong, “Towards Network Coding and Request Pipelining Enabled NDN for Big Data Transmission,” IEEE Global Communications Conference 2020 (IEEEE GLOBECOM 2020), Dec. 2020. 

7. Y. Wang, Z. Su, N. Zhang, A. Benslimane, R. Li, and Y. Wang, “Security-Aware Resource Sharing in Software Defined Air-Ground Integrated Networks: A Game Approach,” IEEE Global Communications Conference 2020 (IEEE GLOBECOM 2020), Dec. 2020. 

8. X. Hu, J. Yin, S. Zheng, R. Li, G. Cheng, and J. Gong, “A Demand and Responsiveness-based Caching Strategy for Network Coding Enabled NDN,” IEEE Global Communications Conference 2020 (IEEE GLOBECOM 2020), Dec. 2020.

9. W. Chen, Z. Su, Q. Xu, T. Luan, and R. Li,“VFC-Based Cooperative UAV Computation Task Offloading for Post-disaster Rescue,” IEEE International Conference on Computer Communications (IEEE INFOCOM 2020), July 2020. 

10. R. Li, and H. Asaeda, “DIBN: A Decentralized Information-Centric Blockchain Network,” IEEE Global Communications Conference 2019 (IEEE GLOBECOM 2019), Hawaii, USA, Dec. 2019.

11. R. Li, K. Matsuzono, H. Asaeda, and X. Fu, “Consecutive Caching and Adaptive Retrieval for In-Network Big Data Sharing,” IEEE International Conference on Communications (IEEE ICC 2018), Kansas, USA, May 2019. 

12. R. Li, and H. Asaeda, “Secure In-Network Big Data Provision with Suspension Chain Model,” IEEE Conference on Computer Communications workshop on BigSecurity 2018, Honolulu, Apr. 2018.

13. R. Li, H. Asaeda, J. Li, and X. Fu, “A Verifiable and Flexible Data Sharing Mechanism for Information-Centric IoT,” IEEE International Conference on Communications (IEEE ICC 2017), Paris, 2017. 

Domestic Conferences:

1. 中橋徳子, 李　睿棟, “車車間通信におけるブロックチェーンに基づく階層的な信頼性評価方法,” IEICE SeMI Technical Report, Jan. 21, 2022.

2. 福本　駿, 李　睿棟, “連合学習におけるストラグラーによる影響 に関する研究,” IEICE SeMI Technical Report, Jan. 21, 2022.

3. 平山智己, 李　睿棟, “分散型機械学習に向けた名前ベース学習ネットワーク,” IEICE SeMI Technical Report, Jan. 21, 2022.