Wengong Jin
18 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Keyword Champion
(3)
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Keyword Pioneer
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Topic Evolution
π€
Dynamic Duo
(10)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(99)
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Trend Setter
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(17)
Machine Learning
(10)
Models
(10)
Architectures
(9)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Healthcare & Medicine
(5)
Core Methods
(5)
Research
(4)
Interdisciplinary
(3)
Science
(3)
Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Keywords
graph neural network
(8)
generative model
(4)
drug discovery
(3)
inverse folding
(3)
molecular graph
(3)
flow matching
(2)
antibody design
(2)
unsupervised learning
(2)
graph generation
(2)
molecular structure
(2)
protein design
(2)
autoregressive model
(2)
protein structure prediction
(1)
message passing
(1)
autoregressive generation
(1)
multi-scale analysis
(1)
game theory
(1)
contrastive learning
(1)
sequence kernels
(1)
state space model
(1)
Papers
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
ICLR 2025
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
ICML 2025
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
ICML 2024
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
NeurIPS 2024
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
ICML 2024
SurfPro: Functional Protein Design Based on Continuous Surface
ICML 2024
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
NeurIPS 2023
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
ICML 2022
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
ICLR 2022
Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis
CVPR 2021
Hierarchical Generation of Molecular Graphs using Structural Motifs
ICML 2020
Improving Molecular Design by Stochastic Iterative Target Augmentation
ICML 2020
Multi-Objective Molecule Generation using Interpretable Substructures
ICML 2020
Functional Transparency for Structured Data: a Game-Theoretic Approach
ICML 2019
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization
ICLR 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
ICML 2018
Deriving Neural Architectures from Sequence and Graph Kernels
ICML 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
NeurIPS 2017