Jin, Wengong

24 publications

ICLR 2025 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Chen, Chunhua Shen

TMLR 2025 MiniFold: Simple, Fast, and Accurate Protein Structure Prediction Jeremy Wohlwend, Mateo Reveiz, Matt McPartlon, Axel Feldmann, Wengong Jin, Regina Barzilay

ICLRW 2025 Protein Structure Predictors Implicitly Define Binding Energy Functions Divya Nori, Anisha Parsan, Caroline Uhler, Wengong Jin

NeurIPS 2025 Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-Design Nianzu Yang, Songlin Jiang, Jian Ma, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan

ICLRW 2025 Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-Design Nianzu Yang, Jian Ma, Songlin Jiang, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan

ICML 2025 Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Zhitao Ying

ICML 2024 Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates Zhenqiao Song, Yunlong Zhao, Wenxian Shi, Wengong Jin, Yang Yang, Lei Li

NeurIPS 2024 Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin

ICLRW 2024 RNAFlow: RNA Structure & Sequence Co-Design via Inverse Folding-Based Flow Matching Divya Nori, Wengong Jin

ICML 2024 RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching Divya Nori, Wengong Jin

ICML 2024 SurfPro: Functional Protein Design Based on Continuous Surface Zhenqiao Song, Tinglin Huang, Lei Li, Wengong Jin

NeurIPSW 2023 SE(3) Denoising Score Matching for Unsupervised Binding Energy Prediction and Nanobody Design Wengong Jin, Caroline Uhler, Nir Hacohen

NeurIPS 2023 Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation Wengong Jin, Siranush Sarkizova, Xun Chen, Nir HaCohen, Caroline Uhler

ICML 2022 Antibody-Antigen Docking and Design via Hierarchical Structure Refinement Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola

ICLR 2022 Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-Design Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola

CVPR 2021 Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis Karren Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi Jaakkola, Caroline Uhler

ICML 2020 Hierarchical Generation of Molecular Graphs Using Structural Motifs Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola

ICML 2020 Improving Molecular Design by Stochastic Iterative Target Augmentation Kevin Yang, Wengong Jin, Kyle Swanson, Dr.Regina Barzilay, Tommi Jaakkola

ICML 2020 Multi-Objective Molecule Generation Using Interpretable Substructures Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola

ICML 2019 Functional Transparency for Structured Data: A Game-Theoretic Approach Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi Jaakkola

ICLR 2019 Learning Multimodal Graph-to-Graph Translation for Molecule Optimization Wengong Jin, Kevin Yang, Regina Barzilay, Tommi Jaakkola

ICML 2018 Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin, Regina Barzilay, Tommi Jaakkola

ICML 2017 Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei, Wengong Jin, Regina Barzilay, Tommi Jaakkola

NeurIPS 2017 Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network Wengong Jin, Connor Coley, Regina Barzilay, Tommi Jaakkola