Yuxuan Song
19 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(15)
Deep Learning
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Models
(11)
Optimization & Theory
(10)
Artificial Intelligence
(9)
Learning Types Β· Machine Learning
(8)
Core AI
(6)
Architectures
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Natural Language Processing
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Core Methods
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Learning Types Β· Deep Learning
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Computer Vision
(2)
Mathematics & Optimization
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Analysis
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Generation
(2)
Keywords
diffusion model
(4)
3d molecule generation
(2)
generative adversarial network
(2)
molecule generation
(2)
text generation
(2)
bayesian flow network
(2)
generative model
(2)
equivariant modeling
(2)
optimal transport
(2)
transfer learning
(1)
data augmentation
(1)
variational inference
(1)
conditional generation
(1)
image translation
(1)
3d reconstruction
(1)
direct preference optimization
(1)
probability distribution
(1)
image generation
(1)
mutual information
(1)
maximum likelihood
(1)
Papers
STAC: Plug-and-Play Spatio-Temporal Aware Cache Compression for Streaming 3D Reconstruction
CVPR 2026
f-PO: Generalizing Preference Optimization with f-divergence Minimization
AISTATS 2025
A Periodic Bayesian Flow for Material Generation
ICLR 2025
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
ICML 2025
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
AAAI 2025
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
ICML 2025
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
AISTATS 2025
Smooth Interpolation for Improved Discrete Graph Generative Models
ICML 2025
Steering Protein Family Design through Profile Bayesian Flow
ICLR 2025
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
ICML 2024
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
ICLR 2024
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
ICML 2023
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
NeurIPS 2023
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
ACL 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
AISTATS 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI 2020
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
AAAI 2019
Lipschitz Generative Adversarial Nets
ICML 2019
Activation Maximization Generative Adversarial Nets
ICLR 2018