Awesome Multimodal
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Minkai Xu — most-cited papers & profile · Multimodal
← authors
·
overview
Minkai Xu
16
papers ·
52
citations ·
15
h-index
National University of Singapore · City University of Hong Kong · Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Energy-Based Imitation Learning
2020 · 12 citations
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
2023 · 12 citations
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
2020 · 10 citations
MADiff: Offline Multi-agent Learning with Diffusion Models
2023 · 5 citations
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
2024 · 3 citations
Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging
2025 · 2 citations
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
2022 · 2 citations
Equivariant Flow Matching with Hybrid Probability Transport
2023 · 2 citations
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
2024 · 2 citations
Contextualized Diffusion Models for Text-Guided Image and Video Generation
2024 · 1 citations
Energy-Based Diffusion Language Models for Text Generation
2024 · 1 citations
Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
2025
Towards Generalized Implementation of Wasserstein Distance in GANs
2020
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
2024
Topics
Diffusion Models
3D & NeRF Generation
Training & Sampling
Model Architecture
Training Techniques
Chemistry
Materials
GANs
Model-Based RL
Offline RL