Wengong Jin

According to our database, Wengong Jin authored at least 28 papers between 2015 and 2024.

Collaborative distances:

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

2024

Discovery of a structural class of antibiotics with explainable deep learning.

Felix Wong, Erica J. Zheng, Jacqueline A. Valeri, Nina M. Donghia, Melis N. Anahtar, Satotaka Omori, Alicia Li, Andres Cubillos-Ruiz, Aarti Krishnan, Wengong Jin, Abigail L. Manson, Jens Friedrichs, Ralf Helbig, Behnoush Hajian, Dawid K. Fiejtek, Florence F. Wagner, Holly H. Soutter, Ashlee M. Earl, Jonathan M. Stokes, Lars D. Renner, James J. Collins

Nat., February, 2024

2023

Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation.

Wengong Jin, Siranush Sarkizova, Xun Chen, Nir Hacohen, Caroline Uhler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph and Geometry Generative Modeling for Drug Discovery.

Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2022

Antibody-Antigen Docking and Design via Hierarchical Structure Refinement.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the International Conference on Machine Learning, 2022

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.

Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Graph Representation Learning for Drug Discovery.

Wengong Jin

PhD thesis, 2021

Deep learning identifies synergistic drug combinations for treating COVID-19.

Wengong Jin, Jonathan M. Stokes, Richard T. Eastman, Zina Itkin, Alexey V. Zakharov, James J. Collins, Tommi S. Jaakkola, Regina Barzilay

Proc. Natl. Acad. Sci. USA, 2021

Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis.

Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2020

Improved Conditional Flow Models for Molecule to Image Synthesis.

Karren D. Yang, Samuel Goldman, Wengong Jin, Alex Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler

CoRR, 2020

Domain Extrapolation via Regret Minimization.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2020

Adaptive Invariance for Molecule Property Prediction.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2020

Composing Molecules with Multiple Property Constraints.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2020

Improving Molecular Design by Stochastic Iterative Target Augmentation.

Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the 37th International Conference on Machine Learning, 2020

Multi-Objective Molecule Generation using Interpretable Substructures.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the 37th International Conference on Machine Learning, 2020

Hierarchical Generation of Molecular Graphs using Structural Motifs.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Correction to Analyzing Learned Molecular Representations for Property Prediction.

Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay

J. Chem. Inf. Model., 2019

Analyzing Learned Molecular Representations for Property Prediction.

Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay

J. Chem. Inf. Model., 2019

Multi-resolution Autoregressive Graph-to-Graph Translation for Molecules.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2019

Are Learned Molecular Representations Ready For Prime Time?

Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay

CoRR, 2019

Functional Transparency for Structured Data: a Game-Theoretic Approach.

Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Multimodal Graph-to-Graph Translation for Molecule Optimization.

Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization.

Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2018

Junction Tree Variational Autoencoder for Molecular Graph Generation.

Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network.

Wengong Jin, Connor W. Coley, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deriving Neural Architectures from Sequence and Graph Kernels.

Tao Lei, Wengong Jin, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Paragraph vector based topic model for language model adaptation.

Wengong Jin, Tianxing He, Yanmin Qian, Kai Yu

Proceedings of the INTERSPEECH 2015, 2015