{"id":191,"date":"2021-03-08T14:32:42","date_gmt":"2021-03-08T05:32:42","guid":{"rendered":"http:\/\/www.li-nlab.org\/?page_id=191"},"modified":"2026-02-16T11:05:41","modified_gmt":"2026-02-16T02:05:41","slug":"publications-2","status":"publish","type":"page","link":"http:\/\/www.li-nlab.org\/?page_id=191","title":{"rendered":"Publications"},"content":{"rendered":"

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Publications: <\/strong>Full List<\/strong><\/a><\/span><\/p>\r\n

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Selected Recent Publications:<\/strong><\/span><\/p>\r\n

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Journals:<\/strong><\/span><\/p>\r\n

15. B. Du, R. Li<\/u>, D. Niyato, and Z. Su, \u201cTaskON: Task-Oriented Networking for Agentic AI,\u201d IEEE Network, 2026. (Accepted)<\/span><\/p>\r\n

14. Z. Wang, R. Li<\/u>, and D. Niyato, \u201cAttention-enhanced Safe Reinforcement Learning for Metaverse User Perception Utility Optimization in Edge Metaverse Services,\u201d Complex & Intelligent Systems, Springer Nature, 2026. (Accepted)<\/span><\/p>\r\n

13. <\/span>H. Chen, B. Du, and R. Li<\/u>, \u201cQTest: A Simulation Testbed for Distributed Quantum Computing and Networking with Deep Reinforcement Learning,\u201d IEEE Internet Computing, 2025. (Accepted)<\/span><\/p>\r\n

12. Y. Cao, J. Cao, B. Du, D. Bai, M. Zhang, and R. Li<\/u>, \u201cChainTwin: Blockchain-based Trustless Digital Twin Generation and Cross-Domain Adoption\u201d, IEEE Transactions on Network Science and Engineering, 2025. (Accepted)<\/span><\/p>\r\n

11. A. Tanaka, B. Du, and R. Li<\/u>, \u201cDigital Twin-Empowered Post-Disaster Movable Base Station Deployment Optimization,\u201d IEEE Communications Magazine, 2025. (Accepted)<\/span><\/p>\r\n

10. B. Du, H. Du, D. Niyato, and R. Li<\/u>, \u201cTask-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks,\u201d IEEE Transactions on Mobile Computing, 2025. (Accepted)<\/span><\/p>\r\n

9. Y. Cao, J. Cao, B. Du, and R. Li<\/u>, \u201cDecentralized Digital Twin Networks,\u201d IEEE Communications Magazine, 2025. (Accepted)<\/span><\/p>\r\n

8. K. Zeng, H. Gu, Y. Duan, T. Shen, and R. Li<\/u>, \u201cZero-shot Binarization Lightweight Model for a Data-free Edge Network,\u201d IEEE Transactions on Cognitive Communications and Networking, 2025. (Accepted)<\/span><\/p>\r\n

7. S. Fukumoto, R. Li<\/u>, K. Zeng, H. Nan, Z. Su, \u201cInvestigations and Time Estimation on Federated Learning for Future Internet of Vehicles,\u201d IEEE Internet of Things Journal, 2025. (Accepted).<\/span><\/p>\r\n

6. Y. Yin, Z. Sun, P. Ruan, R. Li<\/u>, F. Duan, \u201cLearned Distributed Image Compression with Decoder Side Information,\u201d Digital Communications and Networks, DOI:10.1016\/j.dcan.2024.06.001, 2024.<\/span><\/p>\r\n

5. W. He, Y. Wang, M. Zhou, R. Li<\/u>, L. Xie, and J. Cao, \u201cA Robust Adaptive High-precision Entangled Photons Based Ranging System,\u201d IEEE Transactions on Cognitive Communications and Networking, vol. 10, issue 6, pp. 2177 – 2192, Dec. 2024.<\/span><\/p>\r\n

4. H. Nan, R. Li<\/u>, X. Zhu, J. Ma, and K. Xue, \u201cSpatio-Temporal Identity Multi-Graph Convolutional Network for Traffic Prediction in the Metaverse,\u201d IEEE Journal on Selected Areas in Communications (JSAC), vol. 42, issue 3, pp. 669 – 679, Mar. 2024.<\/span><\/p>\r\n

3. W. He, Y. Wang, M. Zhou, R. Li<\/u>, L. Xie, and Z. Su, \u201cAn Efficient and Robust Fusion Positioning System Based on Entangled Photons,\u201d IEEE Journal on Selected Areas in Communications (JSAC), vol. 42, issue 1, pp. 78-92, Jan. 2024.<\/span><\/p>\r\n

2. H. Nan, R. Li<\/u>, X. Zhu, J. Ma, and D. Niyato, \u201cAn Efficient Data-driven Traffic Prediction Framework for Network Digital Twin,\u201d IEEE Network, vol. 38, issue 1, pp. 22-29, January 2024.<\/span><\/p>\r\n

1. R. Li<\/u>, T. Hirayama, K. Xue, P. Ruan, and H. Asaeda, \u201cCON: A Computation-Oriented Network for Efficient Edge Intelligence,\u201d IEEE Network, 36 (5), 188-196, 2022.<\/span><\/p>\r\n

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International Conference Papers:<\/strong><\/span><\/p>\r\n

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15. Zeng, H. Wen, T. Shen, and R. Li<\/u>, \u201cFT-PromptFL: A Feature Transmission-based Framework for Communication-Efficient Prompt Federated Learning,\u201d IEEE International Conference on Computer Communications (IEEE INFOCOM 2026). (Accepted)<\/span><\/p>\r\n

14. Yang, Y. Qin, L. Zhang, Z. Fu, J. Chen, J. Wang, S. Zhao, Q. Li, R. Li<\/u>, H. Wang, Y. Zhang, \u201cBSFuzzer: Context-Aware Semantic Fuzzing for BLE Logic Flaw Detection,\u201d The Network and Distributed System Security (NDSS) Symposium 2026. (Accepted)<\/span><\/p>\r\n

13. S. Fukumoto, R. Li<\/u>, H. Nan, and Z. Su, \u201cIn-Network Model Aggregation in Federated Learning with Heterogeneous Resource,\u201d IEEE INFOCOM 2026 workshop on Intelligent Cloud Computing and Networking (ICCN 2026), 2026. (Accepted) <\/span><\/p>\r\n

12. B. Du, R. Li<\/u>, Y. Cao, and D. Niyato, \u201cKV-SC: KV-Based Semantic Collaboration for Distributed Embodied Intelligence Networks,\u201d IEEE INFOCOM 2026 Workshop on Embodied Intelligence Networks (EIN 2026), 2026. (Accepted) <\/span><\/p>\r\n

11. H. Chen, B. Du and R. Li<\/u>, \u201cAEPA: Adaptive Entanglement Pre-Allocation for Low-Latency Quantum Repeater Networks,\u201d IEEE INFOCOM 2026 workshop Quantum Networked Applications and Protocols (QuNAP 2026), 2026. (Accepted) <\/span><\/p>\r\n

10. Y. Zhang, R. Li<\/u>, X. Li, Y. Zhang, \u201cLRAF: LLM-Assisted Risk-Attribute Framework for Phishing Email Detection,\u201d IEEE INFOCOM 2026 workshop on Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless 2026), 2026. (Accepted) <\/span><\/p>\r\n

9. Z. Fu, Y. Zhang, R. Li<\/u>, Q. Yue, and Y. Zhang, \u201cNetwork-Compute Trade-offs in Resource Depletion Attacks on LLM Inference Services,\u201d IEEE INFOCOM 2026 workshop on Generative AI for Next-Generation Networking and Communications (GenAINet 2026), 2026. (Accepted)<\/span><\/p>\r\n

8. Wang, H. Nan, R. Li<\/u>, and H. Wu, \u201cDP-LET : An Efficient Spatio-Temporal Network Traffic Prediction Framework,\u201d IEEE Globecom 2025, Taipei, 2025.<\/span><\/p>\r\n

7. Cao, J. Cao, D. Bai, P. Lau, and R. Li<\/u>, \u201cMAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications,\u201d International World Wide Web Conference (WWW 2025), 2025.<\/span><\/p>\r\n

6. H. Kagami, R. Li<\/u>, and H. Gong, \u201cMulti-AGV Assisted OPS in Warehouse Using Digital Twins and Layout Comparison,\u201d 3rd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2025), 2025. (Accepted)<\/span><\/p>\r\n

5. Z. Wang, R. Li<\/u>, and D. Niyato, \u201cDeep Reinforcement Learning for the Optimization of Metaverse Service Quality,\u201d 3rd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2025), 2025. (Accepted)<\/span><\/p>\r\n

4. T. Takakubo, Y. Cao, R. Li<\/u>, and J. Cao, \u201cUnionChain: A Graph-based Shard Partitioning for Scalable Smart Contract Execution,\u201d 3rd Annual IEEE International Conference on Metaverse Computing, Networking, and Applications (IEEE MetaCom 2025), 2025. (Accepted)<\/span><\/p>\r\n

3. X. Liu, R. Li<\/u>, \u201cQuantum Network Routing Design with Dynamic Requests Scheduling in Multi-User Environments,\u201d The 21st International Wireless Communications & Mobile Computing Conference (IWCMC 2025), Abu Dhabi, UAE, 12-16 May 2025.\u00a0<\/span><\/p>\r\n

2. Y. Yin, Z. Sun, P. Ruan, F. Duan, R. Li<\/u>, and C. Zhu, \u201cCross View Capture for Distributed Image Compression with Decoder Side Information,\u201d 2024 IEEE International Conference on Robotics and Automation (ICRA), 9300-9305, 2024.<\/span><\/p>\r\n

1. T. Takakubo, R. Li<\/u>, H. Nan, Q. Jin, Z. Su, and H. Wu, \u201cECPAS: A Blockchain-based E-Commerce Price Auditing System,\u201d IEEE ICC 2024. (Accepted)<\/span><\/p>\r\n

Standardization:<\/strong><\/span><\/p>\r\n

1. C. Wang, A. Rahman, R. Li<\/u>, M. Aelmans, and K. Chakraborty, \u201cApplication Scenarios for the Quantum Internet,\u201d IETF RFC 9583, June 2024.<\/span><\/p>\r\n

Domestic Conferences:<\/strong><\/span><\/p>\r\n

9. \u798f\u672c\u3000\u99ff, \u674e\u3000\u777f\u68df, “\u8a08\u7b97\u601d\u8003\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u9023\u5408\u5b66\u7fd2\u306e\u6027\u80fd\u8abf\u67fb,” IEICE ICN\u7814\u7a76\u4f1a, Dec. 11, 2025.<\/span><\/p>\r\n

8. \u5bae\u5185\u98af\u58eb, \u674e\u3000\u777f\u68df, \u30ad\u30e7\u30a6 \u30d2\u30ed, “\u30c7\u30b8\u30bf\u30eb\u30c4\u30a4\u30f3\u3092\u7528\u3044\u305f\u81ea\u52d5\u5009\u5eab\u30b7\u30b9\u30c6\u30e0\u306e\u5b9f\u88c5\u3068\u30ec\u30a4\u30a2\u30a6\u30c8\u6bd4\u8f03,” IEICE IN\u7814\u7a76\u4f1a, Dec. 12, 2025.\u3000(\u512a\u79c0\u8ad6\u6587\u767a\u8868\u8cde)<\/span><\/p>\r\n

7. B. Du, R. Li, “Digital Twin-Assisted Optimization for Post-Disaster Movable Base Station Deployment,”\u3000IEICE IN\u7814\u7a76\u4f1a, Dec. 12, 2025.<\/span><\/p>\r\n

6. Z. Wang, R. Li, “Deep Reinforcement Learning for Metaverse User QoE Optimization,” IEICE IN\u7814\u7a76\u4f1a, Dec. 12, 2025.\u3000(\u6700\u512a\u79c0\u8ad6\u6587\u767a\u8868\u8cde)<\/span><\/p>\r\n

5. H. Chen, R. Li, “Long-Distance Quantum Networks: Distribution, Purification, Swapping, and Fidelity Control,” IEICE IN\u7814\u7a76\u4f1a, Dec. 12, 2025.<\/span><\/p>\r\n

4. \u4e2d\u6a4b\u5fb3\u5b50, \u674e\u3000\u777f\u68df, \u201c\u8eca\u8eca\u9593\u901a\u4fe1\u306b\u304a\u3051\u308b\u30d6\u30ed\u30c3\u30af\u30c1\u30a7\u30fc\u30f3\u306b\u57fa\u3065\u304f\u968e\u5c64\u7684\u306a\u4fe1\u983c\u6027\u8a55\u4fa1\u65b9\u6cd5,\u201d IEICE SeMI Technical Report, Jan. 21, 2022.<\/span><\/p>\r\n

3. \u798f\u672c\u3000\u99ff, \u674e\u3000\u777f\u68df, \u201c\u9023\u5408\u5b66\u7fd2\u306b\u304a\u3051\u308b\u30b9\u30c8\u30e9\u30b0\u30e9\u30fc\u306b\u3088\u308b\u5f71\u97ff \u306b\u95a2\u3059\u308b\u7814\u7a76,\u201d IEICE SeMI Technical Report, Jan. 21, 2022.<\/span><\/p>\r\n

2. \u5e73\u5c71\u667a\u5df1, \u674e\u3000\u777f\u68df, \u201c\u5206\u6563\u578b\u6a5f\u68b0\u5b66\u7fd2\u306b\u5411\u3051\u305f\u540d\u524d\u30d9\u30fc\u30b9\u5b66\u7fd2\u30cd\u30c3\u30c8\u30ef\u30fc\u30af,\u201d IEICE SeMI Technical Report, Jan. 21, 2022.<\/span><\/p>\r\n

1. \u7530\u4e2d\u6b69\u6b66, \u674e\u3000\u777f\u68df, \u5927\u548c\u7530\u6cf0\u4f2f, \u201c\u707d\u5bb3\u6551\u8b77\u306e\u305f\u3081\u306e\u60c5\u5831\u6307\u5411\u52d5\u7684\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u95a2\u3059\u308b\u7814\u7a76,\u201d IEICE ICN Technical Report, Aug. 22, 2023.<\/span><\/p>\r\n

<\/p>","protected":false},"excerpt":{"rendered":"

Publications: Full List   Selected Recent Publications: Journals: 15. B. Du, R. Li, D. Niyato, and Z. Su, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-191","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=\/wp\/v2\/pages\/191","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=191"}],"version-history":[{"count":56,"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=\/wp\/v2\/pages\/191\/revisions"}],"predecessor-version":[{"id":1560,"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=\/wp\/v2\/pages\/191\/revisions\/1560"}],"wp:attachment":[{"href":"http:\/\/www.li-nlab.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=191"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}