A Capability Broker for Workflow-Network QoS Coordination in B5G/6G Industrial Services
本文针对B5G/6G工业服务中多阶段工作流与网络QoS协调缺失的问题，提出了一种能力代理方法以管理QoS承诺并保证一致性。
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Selected work
Representative Papers
PDDLCoder: Agentic PDDL Generation for LLM-Assisted Symbolic Planning
This study addresses the unreliability of long-horizon planning in large language models and the absence of automated verification benchmarks for PDDL generation. We propose an iterative agent-based PDDL generation framework and introduce NL-PDDLGym, a novel benchmark supporting executable environment validation. This approach leverages agent feedback mechanisms to ensure reliable natural-language-to-symbolic planning translation with automated verification. Experimental results demonstrate that our method achieves an 89.6% valid plan generation rate on the test set, significantly outperforming existing PDDL generation approaches and direct LLM planning baselines. These findings confirm that integrating iterative feedback with executable verification effectively enhances both the accuracy and robustness of symbolic planning derived from natural language specifications.
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Block-encodings as programming abstractions: The Eclipse Qrisp BlockEncoding Interface
Although block encoding theoretically underpins numerous advanced quantum algorithms—such as Quantum Signal Processing (QSP) and Quantum Singular Value Transformation (QSVT)—its intricate implementation has hindered practical adoption. This work introduces, for the first time, a generalized programming interface that abstracts block encoding and integrates it into the Eclipse Qrisp framework. The interface encapsulates key techniques including qubitization, the Childs–Kothari–Somma construction, and arithmetic composition, enabling high-level expression and automated resource estimation for algorithms like matrix inversion, polynomial filtering, and Hamiltonian simulation. By providing clear mechanisms for constructing and composing block encodings, this interface substantially lowers the barrier to using state-of-the-art quantum algorithms, enhances developer productivity, and improves accessibility, as demonstrated through illustrative code examples.
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Systemic Risks of Interacting AI
Interactive AI agents introduce emergent systemic risks at the system level—particularly unpredictable failures arising from multi-agent coordination. Method: We propose a scenario-driven risk identification paradigm, construct representative risk-evolution case studies spanning smart grids and social welfare domains, and introduce Agentology—a novel graphical modeling language for capturing complex agent interactions. We systematically identify and categorize emergent behaviors that trigger systemic risks, establishing the first hierarchical risk taxonomy specifically designed for interactive AI systems. Contribution/Results: Our work yields a cross-domain, transferable risk analysis framework and pioneers the research direction of AI system-level safety. It provides both theoretical foundations and methodological tools for designing and governing high-reliability multi-agent systems, advancing rigorous, scalable approaches to AI safety beyond component-level assurance.
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Energy consumption assessment of a Virtual Reality Remote Rendering application over 5G networks
This study addresses the multi-tier energy consumption challenge in VR remote rendering systems operating over 5G networks. To tackle this, we propose and experimentally validate a software–hardware co-designed, fine-grained energy monitoring framework. Computation-intensive rendering tasks are offloaded to cloud–edge collaborative nodes; VR renderers are deployed as Cloud-Native Network Functions (CNFs); and Media over QUIC (MoQ) is integrated to enable end-to-end energy measurement across the 5G core network, radio access network, user equipment, and cloud rendering nodes. For the first time, we quantitatively characterize the nonlinear trade-offs between VR performance metrics—including end-to-end latency, video bitrate, and frame rate—and the energy consumption of individual network components. The results provide reproducible empirical evidence and a methodological foundation for designing energy-efficient 5G networks and optimizing the sustainability of immersive services.
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Latest Papers
A Capability Broker for Workflow-Network QoS Coordination in B5G/6G Industrial Services
本文针对B5G/6G工业服务中多阶段工作流与网络QoS协调缺失的问题，提出了一种能力代理方法以管理QoS承诺并保证一致性。
0 citationsRead paper
PDDLCoder: Agentic PDDL Generation for LLM-Assisted Symbolic Planning
This study addresses the unreliability of long-horizon planning in large language models and the absence of automated verification benchmarks for PDDL generation. We propose an iterative agent-based PDDL generation framework and introduce NL-PDDLGym, a novel benchmark supporting executable environment validation. This approach leverages agent feedback mechanisms to ensure reliable natural-language-to-symbolic planning translation with automated verification. Experimental results demonstrate that our method achieves an 89.6% valid plan generation rate on the test set, significantly outperforming existing PDDL generation approaches and direct LLM planning baselines. These findings confirm that integrating iterative feedback with executable verification effectively enhances both the accuracy and robustness of symbolic planning derived from natural language specifications.
0 citationsRead paper
Block-encodings as programming abstractions: The Eclipse Qrisp BlockEncoding Interface
Although block encoding theoretically underpins numerous advanced quantum algorithms—such as Quantum Signal Processing (QSP) and Quantum Singular Value Transformation (QSVT)—its intricate implementation has hindered practical adoption. This work introduces, for the first time, a generalized programming interface that abstracts block encoding and integrates it into the Eclipse Qrisp framework. The interface encapsulates key techniques including qubitization, the Childs–Kothari–Somma construction, and arithmetic composition, enabling high-level expression and automated resource estimation for algorithms like matrix inversion, polynomial filtering, and Hamiltonian simulation. By providing clear mechanisms for constructing and composing block encodings, this interface substantially lowers the barrier to using state-of-the-art quantum algorithms, enhances developer productivity, and improves accessibility, as demonstrated through illustrative code examples.
0 citationsRead paper
Systemic Risks of Interacting AI
Interactive AI agents introduce emergent systemic risks at the system level—particularly unpredictable failures arising from multi-agent coordination. Method: We propose a scenario-driven risk identification paradigm, construct representative risk-evolution case studies spanning smart grids and social welfare domains, and introduce Agentology—a novel graphical modeling language for capturing complex agent interactions. We systematically identify and categorize emergent behaviors that trigger systemic risks, establishing the first hierarchical risk taxonomy specifically designed for interactive AI systems. Contribution/Results: Our work yields a cross-domain, transferable risk analysis framework and pioneers the research direction of AI system-level safety. It provides both theoretical foundations and methodological tools for designing and governing high-reliability multi-agent systems, advancing rigorous, scalable approaches to AI safety beyond component-level assurance.
0 citationsRead paper
Energy consumption assessment of a Virtual Reality Remote Rendering application over 5G networks
This study addresses the multi-tier energy consumption challenge in VR remote rendering systems operating over 5G networks. To tackle this, we propose and experimentally validate a software–hardware co-designed, fine-grained energy monitoring framework. Computation-intensive rendering tasks are offloaded to cloud–edge collaborative nodes; VR renderers are deployed as Cloud-Native Network Functions (CNFs); and Media over QUIC (MoQ) is integrated to enable end-to-end energy measurement across the 5G core network, radio access network, user equipment, and cloud rendering nodes. For the first time, we quantitatively characterize the nonlinear trade-offs between VR performance metrics—including end-to-end latency, video bitrate, and frame rate—and the energy consumption of individual network components. The results provide reproducible empirical evidence and a methodological foundation for designing energy-efficient 5G networks and optimizing the sustainability of immersive services.
0 citationsRead paper