Events:
- July 7, 2022, ICNL Invited Talk: NVIDIA Series – Omniverse SDK introduction — NVIDIA
- June 19, 2023, ICNL Invited Talk: NVIDIA Series – Unfolding the Power of Data, Model and Application in AI & Digital Twin Metaverse Environment — NVIDIA
- Jan. 18, 2024, ICNL Invited Talk: Future Science Discovery — Prof. Simon See, Senior Director, Chief Solution Architect and Global Head, NVIDIA AI Technology Center, NVIDIA
- Monthly discussions
Joint laboratory demos
1. Virtual space: Digitalize the physical environment
2. Virtual space: Digitalize the factory and warehouse
Joint laboratory meeting
Prof. Simon See, Chief Solution Architect and Global Head of NVIDIA AI Technology Center, visited the joint laboratory. We discussed the future collaborations together with the NVIDIA, Japan through a hybrid meeting.
Joint laboratory demonstration
The demonstration on the on-goning collaborative project on the digital twin, metaverse, and UAV.
Joint laboratory talk
Prof. Simon See delivered a talk in the laboratory.
Students got the internship certificates from NVIDIA
Part of Related Publications:
1. B. Du, R. Li, D. Niyato, and Z. Su, “TaskON: Task-Oriented Networking for Agentic AI,” IEEE Network, 2026. (Accepted)
2. Z. Wang, R. Li, and D. Niyato, “Attention-enhanced Safe Reinforcement Learning for Metaverse User Perception Utility Optimization in Edge Metaverse Services,” Complex & Intelligent Systems, Springer Nature, 2026. (Accepted)
3. 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)
4. A. Tanaka, B. Du, and R. Li, “Digital Twin-Empowered Post-Disaster Movable Base Station Deployment Optimization,” IEEE Communications Magazine, 2025. (Accepted)
5. 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)
6. Y. Cao, J. Cao, B. Du, and R. Li, “Decentralized Digital Twin Networks,” IEEE Communications Magazine, 2025. (Accepted)
7. 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.
8. 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. S. Fukumoto, R. Li, H. Nan, and Z. Su, “In-Network Model Aggregation in Federated Learning with Heterogeneous Resource,” IEEE INFOCOM 2026 workshop on Intelligent Cloud Computing and Networking (ICCN 2026), 2026. (Accepted)
10. B. Du, R. Li, Y. Cao, and D. Niyato, “KV-SC: KV-Based Semantic Collaboration for Distributed Embodied Intelligence Networks,” IEEE INFOCOM 2026 Workshop on Embodied Intelligence Networks (EIN 2026), 2026. (Accepted)
11. 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)
12. 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)
13. 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)
14. B. Du, R. Li, “Digital Twin-Assisted Optimization for Post-Disaster Movable Base Station Deployment,” IEICE IN研究会, Dec. 12, 2025.
15. 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)
Awards:
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Milestones:
Apr. 2022, NVIDIA-ICNL joint Laboratory Starts
Dec. 2021, ICNL laboratory establishes collaborative relations with NVIDIA
