Jin, Emily

10 publications

NeurIPS 2025 From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries Joy Hsu, Emily Jin, Jiajun Wu, Niloy Mitra

ICLR 2025 Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

ICLR 2025 Predicate Hierarchies Improve Few-Shot State Classification Emily Jin, Joy Hsu, Jiajun Wu

NeurIPSW 2024 Homomorphism Counts as Structural Encodings for Molecular Property Prediction Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

ICML 2024 Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

NeurIPS 2024 MARPLE: A Benchmark for Long-Horizon Inference Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg

NeurIPSW 2023 Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-Horizon Decision-Making in Embodied AI Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

NeurIPSW 2023 Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-Horizon Decision-Making in Embodied AI Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín

ICML 2023 Modeling Dynamic Environments with Scene Graph Memory Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martı́n-Martı́n

NeurIPS 2022 MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li