Publications: Full List
Selected Recent Publications:
Journals:
13. H. Chen, B. Du, and R. Li, “QTest: A Simulation Testbed for Distributed Quantum Computing and Networking with Deep Reinforcement Learning,” IEEE Internet Computing, 2025. (Accepted)
12. Y. Cao, J. Cao, B. Du, D. Bai, M. Zhang, and R. Li, “ChainTwin: Blockchain-based Trustless Digital Twin Generation and Cross-Domain Adoption”, IEEE Transactions on Network Science and Engineering, 2025. (Accepted)
11. A. Tanaka, B. Du, and R. Li, “Digital Twin-Empowered Post-Disaster Movable Base Station Deployment Optimization,” IEEE Communications Magazine, 2025. (Accepted)
10. B. Du, H. Du, D. Niyato, and R. Li, “Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks,” IEEE Transactions on Mobile Computing, 2025. (Accepted)
9. Y. Cao, J. Cao, B. Du, and R. Li, “Decentralized Digital Twin Networks,” IEEE Communications Magazine, 2025. (Accepted)
8. K. Zeng, H. Gu, Y. Duan, T. Shen, and R. Li, “Zero-shot Binarization Lightweight Model for a Data-free Edge Network,” IEEE Transactions on Cognitive Communications and Networking, 2025. (Accepted)
7. S. Fukumoto, R. Li, K. Zeng, H. Nan, Z. Su, “Investigations and Time Estimation on Federated Learning for Future Internet of Vehicles,” IEEE Internet of Things Journal, 2025. (Accepted).
6. Y. Yin, Z. Sun, P. Ruan, R. Li, F. Duan, “Learned Distributed Image Compression with Decoder Side Information,” Digital Communications and Networks, DOI:10.1016/j.dcan.2024.06.001, 2024.
5. W. He, Y. Wang, M. Zhou, R. Li, L. Xie, and J. Cao, “A Robust Adaptive High-precision Entangled Photons Based Ranging System,” IEEE Transactions on Cognitive Communications and Networking, vol. 10, issue 6, pp. 2177 – 2192, Dec. 2024.
4. H. Nan, R. Li, X. Zhu, J. Ma, and K. Xue, “Spatio-Temporal Identity Multi-Graph Convolutional Network for Traffic Prediction in the Metaverse,” IEEE Journal on Selected Areas in Communications (JSAC), vol. 42, issue 3, pp. 669 – 679, Mar. 2024.
3. W. He, Y. Wang, M. Zhou, R. Li, L. Xie, and Z. Su, “An Efficient and Robust Fusion Positioning System Based on Entangled Photons,” IEEE Journal on Selected Areas in Communications (JSAC), vol. 42, issue 1, pp. 78-92, Jan. 2024.
2. H. Nan, R. Li, X. Zhu, J. Ma, and D. Niyato, “An Efficient Data-driven Traffic Prediction Framework for Network Digital Twin,” IEEE Network, vol. 38, issue 1, pp. 22-29, January 2024.
1. R. Li, T. Hirayama, K. Xue, P. Ruan, and H. Asaeda, “CON: A Computation-Oriented Network for Efficient Edge Intelligence,” IEEE Network, 36 (5), 188-196, 2022.
International Conference Papers:
10. Zeng, H. Wen, T. Shen, and R. Li, “FT-PromptFL: A Feature Transmission-based Framework for Communication-Efficient Prompt Federated Learning,” IEEE International Conference on Computer Communications (IEEE INFOCOM 2026). (Accepted)
9. Yang, Y. Qin, L. Zhang, Z. Fu, J. Chen, J. Wang, S. Zhao, Q. Li, R. Li, H. Wang, Y. Zhang, “BSFuzzer: Context-Aware Semantic Fuzzing for BLE Logic Flaw Detection,” The Network and Distributed System Security (NDSS) Symposium 2026. (Accepted)
8. Wang, H. Nan, R. Li, and H. Wu, “DP-LET : An Efficient Spatio-Temporal Network Traffic Prediction Framework,” IEEE Globecom 2025, Taipei, 2025.
7. Cao, J. Cao, D. Bai, P. Lau, and R. Li, “MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications,” International World Wide Web Conference (WWW 2025), 2025.
6. H. Kagami, R. Li, and H. Gong, “Multi-AGV Assisted OPS in Warehouse Using Digital Twins and Layout Comparison,” 3rd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2025), 2025. (Accepted)
5. Z. Wang, R. Li, and D. Niyato, “Deep Reinforcement Learning for the Optimization of Metaverse Service Quality,” 3rd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2025), 2025. (Accepted)
4. T. Takakubo, Y. Cao, R. Li, and J. Cao, “UnionChain: A Graph-based Shard Partitioning for Scalable Smart Contract Execution,” 3rd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2025), 2025. (Accepted)
3. X. Liu, R. Li, “Quantum Network Routing Design with Dynamic Requests Scheduling in Multi-User Environments,” The 21st International Wireless Communications & Mobile Computing Conference (IWCMC 2025), Abu Dhabi, UAE, 12-16 May 2025.
2. Y. Yin, Z. Sun, P. Ruan, F. Duan, R. Li, and C. Zhu, “Cross View Capture for Distributed Image Compression with Decoder Side Information,” 2024 IEEE International Conference on Robotics and Automation (ICRA), 9300-9305, 2024.
1. T. Takakubo, R. Li, H. Nan, Q. Jin, Z. Su, and H. Wu, “ECPAS: A Blockchain-based E-Commerce Price Auditing System,” IEEE ICC 2024. (Accepted)
Standardization:
1. C. Wang, A. Rahman, R. Li, M. Aelmans, and K. Chakraborty, “Application Scenarios for the Quantum Internet,” IETF RFC 9583, June 2024.
Domestic Conferences:
9. 福本 駿, 李 睿棟, “計算思考ネットワークにおける連合学習の性能調査,” IEICE ICN研究会, Dec. 11, 2025.
8. 宮内颯士, 李 睿棟, キョウ ヒロ, “デジタルツインを用いた自動倉庫システムの実装とレイアウト比較,” IEICE IN研究会, Dec. 12, 2025. (優秀論文発表賞)
7. B. Du, R. Li, “Digital Twin-Assisted Optimization for Post-Disaster Movable Base Station Deployment,” IEICE IN研究会, Dec. 12, 2025.
6. Z. Wang, R. Li, “Deep Reinforcement Learning for Metaverse User QoE Optimization,” IEICE IN研究会, Dec. 12, 2025. (最優秀論文発表賞)
5. H. Chen, R. Li, “Long-Distance Quantum Networks: Distribution, Purification, Swapping, and Fidelity Control,” IEICE IN研究会, Dec. 12, 2025.
4. 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.
3. 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.
2. 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.
1. 田中歩武, 李 睿棟, 大和田泰伯, “災害救護のための情報指向動的ネットワークに関する研究,” IEICE ICN Technical Report, Aug. 22, 2023.