Paper

  • GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs

    Dong Wang, Liwei Wang, Zhao Zhang, Ziwei Zhao p68472-68499 from Advances in Neural Information Processing Systems 37
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  • GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules

    Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu p123443-123470 from Advances in Neural Information Processing Systems 37
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  • GraphVis: Boosting LLMs with Visual Knowledge Graph Integration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GraphVis: Boosting LLMs with Visual Knowledge Graph Integration

    Yihe Deng, Zijie Huang, Yiwen Kou, Mingyu Derek Ma, Wei Wang, Chenchen Ye p67511-67534 from Advances in Neural Information Processing Systems 37
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  • Grasp as You Say: Language-guided Dexterous Grasp Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Grasp as You Say: Language-guided Dexterous Grasp Generation

    Mark Cutkosky, Jian-Jian Jiang, Hao Li, Xian-Tuo Tan, Yi-Lin Wei, Xiao-Ming Wu, Chengyi Xing, Wei-Shi Zheng p46881-46907 from Advances in Neural Information Processing Systems 37
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  • Great Minds Think Alike: The Universal Convergence Trend of Input Salience

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Great Minds Think Alike: The Universal Convergence Trend of Input Salience

    Jeffrey Siskind, Xiaoqian Wang, Yipei Wang p71672-71704 from Advances in Neural Information Processing Systems 37
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  • GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models

    Pin-Yu Chen, Tsung-Yi Ho, ZAITANG LI p39158-39189 from Advances in Neural Information Processing Systems 37
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  • GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration

    Ruoxi Jia, Prateek Mittal, Dawn Song, Jiachen Wang, Tong Wu p131197-131223 from Advances in Neural Information Processing Systems 37
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  • GREEN AMMONIA SYNTHESIS IN A MULTI-RES SYSTEM

    ECOS 2024

    GREEN AMMONIA SYNTHESIS IN A MULTI-RES SYSTEM

    Arianna Baldinelli, Tobia Favilli, Giovanni Cinti, Alberto Giaconia, Umberto Desideri p1107-1118 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • GREEN COMMONS -  APU NEW UNIVERSITY BUILDING , BEPPU, OITA , JAPAN

    World Conference on Timber Engineering 2025

    GREEN COMMONS - APU NEW UNIVERSITY BUILDING , BEPPU, OITA , JAPAN

    Yasuhito Kinoshita p4009-4018 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Green Hydrogen and Ammonia Synthesis: A Techno-Economic Feasibility Analysis for Different Plant Sizes (1 – 60 MW) and Scenarios

    ECOS 2023

    Green Hydrogen and Ammonia Synthesis: A Techno-Economic Feasibility Analysis for Different Plant Sizes (1 – 60 MW) and Scenarios

    Massimo Rivarolo, Daria Bellotti, Loredana Magistri p2288-2299 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • GREEN OAK BUILDING WITH HIGH-TECH METHODS, PART 1: CHARACTERISATION OF THE RAW MATERIAL

    World Conference on Timber Engineering 2023 (WCTE 2023)

    GREEN OAK BUILDING WITH HIGH-TECH METHODS, PART 1: CHARACTERISATION OF THE RAW MATERIAL

    Nicolas Hofmann, Franka Brüchert, Udo H. Sauter, Kay-Uwe Schober, Beate Hörnel-Metzger, Maximilian L. Müller p711-716 from World Conference on Timber Engineering (WCTE 2023)
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  • GREEN OAK BUILDING WITH HIGH-TECH METHODS, PART 2: LOG BENDING TESTS FOR DETERMINATION OF STRENGTH AND STIFFNESS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    GREEN OAK BUILDING WITH HIGH-TECH METHODS, PART 2: LOG BENDING TESTS FOR DETERMINATION OF STRENGTH AND STIFFNESS

    Kay-Uwe Schober, Beate Hörnel-Metzger, Maximilian Leonhard Müller, Nicolas Hofmann, Franka Brüchert, Udo H. Sauter p119-125 from World Conference on Timber Engineering (WCTE 2023)
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