Yuanqi Du
George Mason University
H-index: 18
North America-United States
Top articles of Yuanqi Du
Molecular Contrastive Pretraining with Collaborative Featurizations
Journal of Chemical Information and Modeling
2024
Yuanqi Du
H-Index: 0
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
H-Index: 10
Yuanqi Du
H-Index: 0
On Separate Normalization in Self-supervised Transformers
Advances in Neural Information Processing Systems
2024/2/13
Scientific discovery in the age of artificial intelligence
2023/8/3
Hanchen Wang
H-Index: 5
Tianfan Fu
H-Index: 8
Yuanqi Du
H-Index: 0
Wenhao Gao
H-Index: 2
Kexin Huang
H-Index: 4
Ziming Liu
H-Index: 15
Payal Chandak
H-Index: 1
Anima Anandkumar
H-Index: 40
Karianne Bergen
H-Index: 7
Carla P Gomes
H-Index: 7
Joan Lasenby
H-Index: 20
Jure Leskovec
H-Index: 103
Debora Marks
H-Index: 40
Bharath Ramsundar
H-Index: 15
Le Song
H-Index: 60
Jimeng Sun
H-Index: 57
Jian Tang
H-Index: 2
Max Welling
H-Index: 62
Linfeng Zhang
H-Index: 8
Yoshua Bengio
H-Index: 165
Marinka Zitnik
H-Index: 25
A Systematic Survey of Chemical Pre-trained Models
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
2023/8
Jun Xia
H-Index: 9
Yuanqi Du
H-Index: 0
Artificial intelligence for science in quantum, atomistic, and continuum systems
arXiv preprint arXiv:2307.08423
2023/7/17
Xuan Zhang
H-Index: 2
Limei Wang
H-Index: 3
Cong Fu
H-Index: 7
Meng Liu
H-Index: 4
Zhao Xu
H-Index: 6
Keir Adams
H-Index: 2
Maurice Weiler
H-Index: 8
Tianfan Fu
H-Index: 8
Yucheng Wang
H-Index: 12
Haiyang Yu
H-Index: 15
Yuqing Xie
H-Index: 4
Xiang Fu
H-Index: 13
Yi Liu
H-Index: 21
Yuanqi Du
H-Index: 0
Hannah Lawrence
H-Index: 5
Hannes Stärk
H-Index: 1
Nicholas Gao
H-Index: 1
Tailin Wu
H-Index: 9
Rui Wang
H-Index: 3
Qian Huang
H-Index: 10
Kamyar Azizzadenesheli
H-Index: 14
Michael Bronstein
H-Index: 7
Marinka Zitnik
H-Index: 25
Anima Anandkumar
H-Index: 40
Stefano Ermon
H-Index: 38
Rose Yu
H-Index: 17
Stephan Günnemann
H-Index: 30
Jure Leskovec
H-Index: 103
Heng Ji
H-Index: 42
Jimeng Sun
H-Index: 57
Tommi Jaakkola
H-Index: 60
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
GAUCHE: A Library for Gaussian Processes in Chemistry
arXiv preprint arXiv:2212.04450
2022/12/6
Ryan-Rhys Griffiths
H-Index: 5
Sang Truong
H-Index: 1
Samuel Stanton
H-Index: 2
Gary Tom
H-Index: 2
Yuanqi Du
H-Index: 0
Arian Jamasb
H-Index: 4
Aryan Deshwal
H-Index: 5
Austin Tripp
H-Index: 2
Anthony Bourached
H-Index: 2
Alex Chan
H-Index: 2
Jacob Moss
H-Index: 1
Chengzhi Guo
H-Index: 1
Alan Aspuru-Guzik
H-Index: 75
Jian Tang
H-Index: 2
Disentangled Spatiotemporal Graph Generative Models
2022/3
Interpretable Molecular Graph Generation via Monotonic Constraints
2022/4