Yuanqi Du

According to our database1, Yuanqi Du authored at least 26 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Controllable Data Generation by Deep Learning: A Review.
CoRR, 2022

Path Integral Stochastic Optimal Control for Sampling Transition Paths.
CoRR, 2022

A Flexible Diffusion Model.
CoRR, 2022

Pik-Fix: Restoring and Colorizing Old Photos.
CoRR, 2022

MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design.
CoRR, 2022

A Survey on Deep Graph Generation: Methods and Applications.
CoRR, 2022

Recovering medical images from CT film photos.
CoRR, 2022

Interpretable Molecular Graph Generation via Monotonic Constraints.
CoRR, 2022

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications.
CoRR, 2022

ROMNet: Renovate the Old Memories.
CoRR, 2022

Small molecule generation via disentangled representation learning.
Bioinform., 2022

Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

SE(3) Equivariant Graph Neural Networks with Complete Local Frames.
Proceedings of the International Conference on Machine Learning, 2022

Disentangled Spatiotemporal Graph Generative Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Graph-based Ensemble Machine Learning for Student Performance Prediction.
CoRR, 2021

Equivariant vector field network for many-body system modeling.
CoRR, 2021

Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning.
CoRR, 2021

Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image.
CoRR, 2021

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.
Int. J. Comput. Assist. Radiol. Surg., 2021

GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Deep Generative Models for Spatial Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Property Controllable Variational Autoencoder via Invertible Mutual Dependence.
Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Latent-Variable Models for Controllable Molecule Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models.
CoRR, 2020

Expressive ASL Recognition using Millimeter-wave Wireless Signals.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020