LazAI Team Paper Accepted to IEEE ICME 2026 with a Acceptance Rate of Only 28.89%

March 18, 2026 — The LazAI team’s paper, *QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks*, has been officially accepted by the 2026 IEEE International Conference on Multimedia & Expo (ICME). IEEE ICME is a top academic conference in multimedia and intelligent computing. This year, it received 3,810 valid submissions, with 1,101 papers ultimately accepted—yielding an acceptance rate of 28.89%. The paper addresses two core challenges in AI agent networks: - **Token Scheduling Optimization**: How to deliver efficient resource allocation and quality of service (QoS) guarantees in multi-modal intelligent agent collaboration scenarios; - **Private Data Valuation**: How to accurately measure the value of data contributions in AI training and inference while protecting user privacy. These research directions closely align with the decentralized AI infrastructure LazAI is developing: the Data Anchoring Token (DAT) solves data assetization and revenue distribution, while a verification framework ensures trustworthy execution of agent behavior. The paper’s acceptance marks recognition of LazAI’s technical roadmap from the mainstream academic community. The work will be formally published and presented at ICME 2026.