Jiajin Li

Orcid: 0000-0003-2043-4968

According to our database1, Jiajin Li authored at least 35 papers between 2018 and 2024.

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Bibliography

2024
Automatic Outlier Rectification via Optimal Transport.
CoRR, 2024

2023
Outlier-Robust Gromov Wasserstein for Graph Data.
CoRR, 2023

Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Outlier-Robust Gromov-Wasserstein for Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Proximal Operators to Discover Multiple Optima.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
A Splitting Scheme for Flip-Free Distortion Energies.
SIAM J. Imaging Sci., June, 2022

Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls.
CoRR, 2022

Nonsmooth Composite Nonconvex-Concave Minimax Optimization.
CoRR, 2022

Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning.
CoRR, 2022

Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Graph Neural Networks for Anomaly Detection.
Proceedings of the International Conference on Machine Learning, 2022

2021
Developing Machine Learning and Statistical Methods for the Analysis of Genetics and Genomics.
PhD thesis, 2021

Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses.
Sensors, 2021

An Efficient Linear Mixed Model Framework for Meta-Analytic Association Studies Across Multiple Contexts.
Proceedings of the 21st International Workshop on Algorithms in Bioinformatics, 2021

Deconvolutional Networks on Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modified Frank Wolfe in Probability Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Ka-band 1 W GaN MMIC Power Amplifier Design.
Proceedings of the IEEE International Conference on Signal Processing, 2021

2020
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions.
IEEE Signal Process. Mag., 2020

Probing the Cyanobacterial Microcystis Gas Vesicles after Static Pressure Treatment: A Potential In Situ Rapid Method.
Sensors, 2020

Dirichlet Graph Variational Autoencoder.
CoRR, 2020

Understanding Notions of Stationarity in Non-Smooth Optimization.
CoRR, 2020

Dirichlet Graph Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

The Gambler's Problem and Beyond.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest.
PLoS Comput. Biol., 2019

A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression.
CoRR, 2019

A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Psrec: social recommendation with pseudo ratings.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Field-aware probabilistic embedding neural network for CTR prediction.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Policy Optimization with Second-Order Advantage Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Policy Optimization with Second-Order Advantage Information.
Proceedings of the 6th International Conference on Learning Representations, 2018


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