Emily Jin

According to our database, Emily Jin authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

General Multimodal Protein Design Enables DNA-Encoding of Chemistry.

Jarrid Rector-Brooks, Théophile Lambert, Marta Skreta, Daniel Roth, Yueming Long, Zi-Qi Li, Xi Zhang, Miruna T. Cretu, Francesca-Zhoufan Li, Tanvi Ganapathy, Emily Jin, Avishek Joey Bose, Jason Yang, Kirill Neklyudov, Yoshua Bengio, Alexander Tong, Frances H. Arnold, Cheng-Hao Liu

CoRR, April, 2026

2025

OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction.

Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong, Cheng-Hao Liu

CoRR, December, 2025

From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries.

Joy Hsu, Emily Jin, Jiajun Wu, Niloy J. Mitra

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Predicate Hierarchies Improve Few-Shot State Classification.

Emily Jin, Joy Hsu, Jiajun Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Homomorphism Counts as Structural Encodings for Graph Learning.

Linus Bao, Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MARPLE: A Benchmark for Long-Horizon Inference.

Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah A. Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Homomorphism Counts for Graph Neural Networks: All About That Basis.

Emily Jin, Michael M. Bronstein, Ismail Ilkan Ceylan, Matthias Lanzinger

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Whodunnit? Inferring what happened from multimodal evidence.

Sarah A. Wu, Erik Brockbank, Hannah Cha, Jan-Philipp Fränken, Emily Jin, Zhuoyi Huang, Weiyu Liu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

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

CoRR, 2023

Modeling Dynamic Environments with Scene Graph Memory.

Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022