Selected work

Representative Papers

On a General Theoretical Framework for Radio Frequency Fingerprint-Based Authentication

Aug 07, 2026

This work addresses the lack of a general theoretical foundation for radio frequency fingerprinting (RFF) as a reliable device identifier, which has hindered its practical deployment in authentication systems. The paper proposes the first unified framework that theoretically links the physical formation mechanisms of RFFs to their core authentication properties—uniqueness, stability, distinguishability, and unforgeability. By integrating signal modeling, information-theoretic analysis, and formal security characterization, the framework systematically elucidates how RFFs are generated, evolve, and are observed across the transmitter–channel–receiver chain. This study establishes an interpretable and verifiable theoretical basis for RFF-based authentication, enabling co-design of communication and security functionalities and significantly enhancing the trustworthiness and feasibility of RFF deployment in real-world systems.

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Emotional Expression in Persuasion by Quadruped Virtual Agents: Toward Cross-Species Design Patterns

Aug 03, 2026

This study investigates the effectiveness of affective expressions in non-humanoid quadrupedal virtual agents for persuasive tasks and examines their dependence on species-specific behaviors. Virtual agents modeled after dogs, cats, and horses were developed to compare the persuasive impact of species-specific behaviors, cross-species common behaviors, and a vocalization-only baseline in everyday persuasion scenarios. The work proposes a generalizable design paradigm for cross-species virtual agents, integrating affective expression modeling, attention-guiding mechanisms, and a behavioral experimental evaluation framework. Results demonstrate that affective expressions significantly enhance users’ comprehension of intent and behavioral compliance, with no significant difference in persuasiveness between common and species-specific behaviors. User resistance was low, and familiarity moderated actual behavioral responses. The findings suggest that functional affective cues confer greater persuasive advantage than precise imitation of animal behavior.

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Effectiveness of Zero-shot-CoT in Japanese Prompts

Mar 09, 2025

Zero-shot chain-of-thought (Zero-shot-CoT) prompting is widely assumed to be universally effective across languages, yet its cross-lingual validity—particularly between Japanese and English—remains empirically unverified. Method: We conduct a systematic evaluation of Zero-shot-CoT on Japanese (JMMLU) and English (MMLU) benchmarks using GPT-3.5 and GPT-4o-mini, analyzing performance across diverse reasoning tasks. Contribution/Results: We uncover pronounced model dependency and task heterogeneity: Zero-shot-CoT yields substantial gains for Japanese tasks—especially university-level mathematics and abstract algebra—on GPT-3.5, but degrades overall performance on the more advanced GPT-4o-mini, with benefits persisting only in select high-difficulty Japanese reasoning tasks. These findings challenge the “plug-and-play” universality assumption of Zero-shot-CoT, demonstrating that its cross-lingual transfer efficacy is constrained by both model architecture and task-specific semantic complexity. Our study provides critical empirical evidence for designing multilingual reasoning prompts and underscores the need for language- and model-aware CoT strategies.

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Recent publications

Latest Papers

On a General Theoretical Framework for Radio Frequency Fingerprint-Based Authentication

Aug 07, 2026

This work addresses the lack of a general theoretical foundation for radio frequency fingerprinting (RFF) as a reliable device identifier, which has hindered its practical deployment in authentication systems. The paper proposes the first unified framework that theoretically links the physical formation mechanisms of RFFs to their core authentication properties—uniqueness, stability, distinguishability, and unforgeability. By integrating signal modeling, information-theoretic analysis, and formal security characterization, the framework systematically elucidates how RFFs are generated, evolve, and are observed across the transmitter–channel–receiver chain. This study establishes an interpretable and verifiable theoretical basis for RFF-based authentication, enabling co-design of communication and security functionalities and significantly enhancing the trustworthiness and feasibility of RFF deployment in real-world systems.

0 citationsRead paper

Emotional Expression in Persuasion by Quadruped Virtual Agents: Toward Cross-Species Design Patterns

Aug 03, 2026

This study investigates the effectiveness of affective expressions in non-humanoid quadrupedal virtual agents for persuasive tasks and examines their dependence on species-specific behaviors. Virtual agents modeled after dogs, cats, and horses were developed to compare the persuasive impact of species-specific behaviors, cross-species common behaviors, and a vocalization-only baseline in everyday persuasion scenarios. The work proposes a generalizable design paradigm for cross-species virtual agents, integrating affective expression modeling, attention-guiding mechanisms, and a behavioral experimental evaluation framework. Results demonstrate that affective expressions significantly enhance users’ comprehension of intent and behavioral compliance, with no significant difference in persuasiveness between common and species-specific behaviors. User resistance was low, and familiarity moderated actual behavioral responses. The findings suggest that functional affective cues confer greater persuasive advantage than precise imitation of animal behavior.

0 citationsRead paper

Effectiveness of Zero-shot-CoT in Japanese Prompts

Mar 09, 2025

Zero-shot chain-of-thought (Zero-shot-CoT) prompting is widely assumed to be universally effective across languages, yet its cross-lingual validity—particularly between Japanese and English—remains empirically unverified. Method: We conduct a systematic evaluation of Zero-shot-CoT on Japanese (JMMLU) and English (MMLU) benchmarks using GPT-3.5 and GPT-4o-mini, analyzing performance across diverse reasoning tasks. Contribution/Results: We uncover pronounced model dependency and task heterogeneity: Zero-shot-CoT yields substantial gains for Japanese tasks—especially university-level mathematics and abstract algebra—on GPT-3.5, but degrades overall performance on the more advanced GPT-4o-mini, with benefits persisting only in select high-difficulty Japanese reasoning tasks. These findings challenge the “plug-and-play” universality assumption of Zero-shot-CoT, demonstrating that its cross-lingual transfer efficacy is constrained by both model architecture and task-specific semantic complexity. Our study provides critical empirical evidence for designing multilingual reasoning prompts and underscores the need for language- and model-aware CoT strategies.

0 citationsRead paper