The Facility Advantage in the One-Round Discrete Voronoi Game on a Line
研究解决了一轮离散Voronoi博弈中设施布局优势问题，通过计算最优策略和分析设施数量关系，提出并证明了新结论。
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Representative Papers
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
本文针对保险领域对话生成缺乏说服力的问题，提出基于强化学习的PersuaRL框架，通过多专家模块选择实现更有效的说服性对话。
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Gate-level Implementation and Resource Analysis of Lackadaisical Quantum Walk Search
本文通过构建门级实现框架，解决了缺乏实际量子硬件上执行的懒散量子行走搜索问题，并分析了其资源需求。
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A HamNoSys-Guided Dataset and Baselines for Fine-Grained Isolated Handshape Recognition in Sign Language
This study addresses the lack of large-scale, language-agnostic, fine-grained visual datasets for sign language recognition that support signer-aware evaluation. To bridge this gap, the authors construct a balanced dataset based on the Hamburg Notation System (HamNoSys 4), comprising 144,000 RGB images contributed by 15 signers across 160 handshape classes. They introduce, for the first time, a dual evaluation protocol incorporating both signer-dependent and leave-one-signer-out (LOSO) settings, and establish reproducible benchmarks using diverse models—including ResNet-18, ViT-B/16, graph convolutional networks, and XGBoost. Experiments on the ASL Fingerspelling Dataset A achieve Top-1 accuracy of 82.20%–87.40% under the LOSO protocol, while also revealing a significant performance drop in cross-signer generalization, highlighting a critical challenge in real-world deployment.
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A Word-Level Digital Reader of the Prasthanatrayi with Sankara's Bhasya: Corpus, Method, and an Open, Offline Reading Aid for the Advaita Vedanta Canon
This study addresses word-level readability barriers in the *Triple Canon* and Śaṅkara’s commentary—arising from sandhi, compound formation, and dense scholarly prose—by presenting the first offline, open-source, word-level interactive reading system covering the complete text. The system integrates a rule-based sandhi splitter, an inflectional lexicon, corpus-based lookup tables, and a large language model, enhanced by an adversarial two-pass validation protocol and a human-in-the-loop correction mechanism. It encompasses 13 commentary units, 36,881 root-text tokens, and 95,587 surface forms from the commentary, achieving over 99% agreement with authoritative dictionaries at high-confidence analysis levels. This substantially enhances the readability and searchability of Sanskrit philosophical texts.
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The Facility Advantage in the One-Round Discrete Voronoi Game on a Line
研究解决了一轮离散Voronoi博弈中设施布局优势问题，通过计算最优策略和分析设施数量关系，提出并证明了新结论。
0 citationsRead paper
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
本文针对保险领域对话生成缺乏说服力的问题，提出基于强化学习的PersuaRL框架，通过多专家模块选择实现更有效的说服性对话。
0 citationsRead paper
Gate-level Implementation and Resource Analysis of Lackadaisical Quantum Walk Search
本文通过构建门级实现框架，解决了缺乏实际量子硬件上执行的懒散量子行走搜索问题，并分析了其资源需求。
0 citationsRead paper
A HamNoSys-Guided Dataset and Baselines for Fine-Grained Isolated Handshape Recognition in Sign Language
This study addresses the lack of large-scale, language-agnostic, fine-grained visual datasets for sign language recognition that support signer-aware evaluation. To bridge this gap, the authors construct a balanced dataset based on the Hamburg Notation System (HamNoSys 4), comprising 144,000 RGB images contributed by 15 signers across 160 handshape classes. They introduce, for the first time, a dual evaluation protocol incorporating both signer-dependent and leave-one-signer-out (LOSO) settings, and establish reproducible benchmarks using diverse models—including ResNet-18, ViT-B/16, graph convolutional networks, and XGBoost. Experiments on the ASL Fingerspelling Dataset A achieve Top-1 accuracy of 82.20%–87.40% under the LOSO protocol, while also revealing a significant performance drop in cross-signer generalization, highlighting a critical challenge in real-world deployment.
0 citationsRead paper
A Word-Level Digital Reader of the Prasthanatrayi with Sankara's Bhasya: Corpus, Method, and an Open, Offline Reading Aid for the Advaita Vedanta Canon
This study addresses word-level readability barriers in the *Triple Canon* and Śaṅkara’s commentary—arising from sandhi, compound formation, and dense scholarly prose—by presenting the first offline, open-source, word-level interactive reading system covering the complete text. The system integrates a rule-based sandhi splitter, an inflectional lexicon, corpus-based lookup tables, and a large language model, enhanced by an adversarial two-pass validation protocol and a human-in-the-loop correction mechanism. It encompasses 13 commentary units, 36,881 root-text tokens, and 95,587 surface forms from the commentary, achieving over 99% agreement with authoritative dictionaries at high-confidence analysis levels. This substantially enhances the readability and searchability of Sanskrit philosophical texts.
0 citationsRead paper