Wengong Jin
18 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
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Conference Polyglot
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Academic Marathon
(8)
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Cross-Pollinator
(13)
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(10)
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(9)
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(18)
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Keyword Collector
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Conferences
ICML (11)
ICLR (3)
NIPS (3)
CVPR (1)
Top co-authors
Keywords
graph neural network
(6)
drug discovery
(3)
molecular graph
(3)
graph generation
(2)
generative model
(2)
autoregressive generation
(1)
game theory
(1)
contrastive learning
(1)
multi-scale analysis
(1)
sequence kernels
(1)
message passing
(1)
protein structure prediction
(1)
reaction prediction
(1)
multi-objective optimization
(1)
image generation
(1)
recurrent neural network
(1)
autoregressive model
(1)
program synthesis
(1)
variational autoencoder
(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
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
NIPS 2024
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
ICML 2024
SurfPro: Functional Protein Design Based on Continuous Surface
ICML 2024
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
ICML 2024
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
NIPS 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
Multi-Objective Molecule Generation using Interpretable Substructures
ICML 2020
Improving Molecular Design by Stochastic Iterative Target Augmentation
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
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
NIPS 2017
Deriving Neural Architectures from Sequence and Graph Kernels
ICML 2017