Minkai Xu
32 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(15)
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Grand Slam
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Topic Evolution
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Triple Crown
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Keyword Champion
(5)
π€
Dynamic Duo
(16)
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Prolific Year Β· Prolific
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(160)
Top co-authors
Research topics
Deep Learning
(25)
Machine Learning
(24)
Models
(22)
Core Methods
(12)
Learning Types Β· Machine Learning
(12)
Optimization & Theory
(11)
Architectures
(10)
Artificial Intelligence
(8)
Computer Vision
(8)
Core AI
(8)
Generation
(7)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Keywords
diffusion model
(13)
generative model
(6)
graph neural network
(6)
molecule generation
(5)
molecular conformation
(4)
molecular graph
(3)
3d molecular structure
(2)
3d molecule generation
(2)
se(3) equivariance
(2)
energy-based model
(2)
variational inference
(2)
molecular dynamics
(2)
score matching
(2)
conditional generation
(2)
direct preference optimization
(2)
text-to-image generation
(2)
variational autoencoder
(2)
mathematical reasoning
(1)
optimal transport
(1)
offline reinforcement learning
(1)
Papers
f-PO: Generalizing Preference Optimization with f-divergence Minimization
AISTATS 2025
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
ICCV 2025
Energy-Based Diffusion Language Models for Text Generation
ICLR 2025
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
AISTATS 2025
Smooth Interpolation for Improved Discrete Graph Generative Models
ICML 2025
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
ICLR 2025
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
ICLR 2025
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
NeurIPS 2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
NeurIPS 2024
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
ICLR 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
ICML 2024
Geometric Trajectory Diffusion Models
NeurIPS 2024
MADiff: Offline Multi-agent Learning with Diffusion Models
NeurIPS 2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
ICML 2024
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
NeurIPS 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NeurIPS 2024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
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
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
ICML 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
ICML 2023
Scaling Riemannian Diffusion Models
NeurIPS 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability
NeurIPS 2023
Generative Coarse-Graining of Molecular Conformations
ICML 2022
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
ICLR 2022
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
ICML 2021
Learning Gradient Fields for Molecular Conformation Generation
ICML 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation
ICLR 2021
Predicting Molecular Conformation via Dynamic Graph Score Matching
NeurIPS 2021
Towards Generalized Implementation of Wasserstein Distance in GANs
AAAI 2021
A Graph to Graphs Framework for Retrosynthesis Prediction
ICML 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI 2020