Yuanqi Du

Yuanqi Du

George Mason University

H-index: 18

North America-United States

About Yuanqi Du

Yuanqi Du, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at George Mason University, specializes in the field of Probabilistic Machine Learning, Geometric Deep Learning, AI for Science, Interpretability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Molecular Contrastive Pretraining with Collaborative Featurizations

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Controllable data generation by deep learning: A review

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions

Traversing Chemical Space with Latent Potential Flows

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints

Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model

On Separate Normalization in Self-supervised Transformers

Yuanqi Du Information

University

Position

Undergraduate Student of Computer Science

Citations(all)

1102

Citations(since 2020)

1099

Cited By

0

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Yuanqi Du Skills & Research Interests

Probabilistic Machine Learning

Geometric Deep Learning

AI for Science

Interpretability

Top articles of Yuanqi Du

Molecular Contrastive Pretraining with Collaborative Featurizations

Journal of Chemical Information and Modeling

2024

Yuanqi Du
Yuanqi Du

H-Index: 0

Shu Wu
Shu Wu

H-Index: 8

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

2023/10/28

Controllable data generation by deep learning: A review

2022

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions

arXiv preprint arXiv:2404.13430

2024/4/20

Traversing Chemical Space with Latent Potential Flows

2024/3/3

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints

arXiv preprint arXiv:2402.18012

2024/2/28

Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model

Nature Computational Science

2023/12

Chenru Duan
Chenru Duan

H-Index: 10

Yuanqi Du
Yuanqi Du

H-Index: 0

On Separate Normalization in Self-supervised Transformers

Advances in Neural Information Processing Systems

2024/2/13

A Systematic Survey of Chemical Pre-trained Models

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

2023/8

Jun Xia
Jun Xia

H-Index: 9

Yuanqi Du
Yuanqi Du

H-Index: 0

MUBen: benchmarking the uncertainty of pre-trained models for molecular property prediction

arXiv preprint arXiv:2306.10060

2023/6/14

Weighted Sampling without Replacement for Deep Top- Classification

ICML 2023

2023/4/24

Uncovering Neural Scaling Law in Molecular Representation Learning

Advances in Neural Information Processing Systems

2023

M Hub: Unlocking the Potential of Machine Learning for Materials Discovery

arXiv preprint arXiv:2307.05378

2023/6/14

A new perspective on building efficient and expressive 3D equivariant graph neural networks

Advances in Neural Information Processing Systems

2023

Pik-fix: Restoring and colorizing old photos

2023

Disentangled Spatiotemporal Graph Generative Models

2022/3

Interpretable Molecular Graph Generation via Monotonic Constraints

2022/4

See List of Professors in Yuanqi Du University(George Mason University)