Jiajin Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Incremental Algorithms

Social Recommendation

Top Venues

Publications

He Chen, Jiajin Li, Anthony Man-Cho So
Spurious Stationarity and Hardness Results for Mirror Descent. CoRR (2024)
Jose H. Blanchet, Jiajin Li, Markus Pelger, Greg Zanotti
Automatic Outlier Rectification via Optimal Transport. CoRR (2024)
Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu
Stability Evaluation via Distributional Perturbation Analysis. CoRR (2024)
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. CoRR (2023)
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. ICLR (2023)
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. CoRR (2023)
Lemin Kong, Jiajin Li, Anthony Man-Cho So
Outlier-Robust Gromov Wasserstein for Graph Data. CoRR (2023)
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Learning Proximal Operators to Discover Multiple Optima. ICLR (2023)
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. ICDE (2023)
Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization. NeurIPS (2023)
Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So
Outlier-Robust Gromov-Wasserstein for Graph Data. NeurIPS (2023)
Kyriakos Lotidis, Nicholas Bambos, Jose H. Blanchet, Jiajin Li
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints. AISTATS (2023)
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Learning Proximal Operators to Discover Multiple Optima. CoRR (2022)
Jiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints. NeurIPS (2022)
Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li
Doubly Smoothed GDA: Global Convergent Algorithm for Constrained Nonconvex-Nonconcave Minimax Optimization. CoRR (2022)
Jiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints. CoRR (2022)
Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So
Nonsmooth Composite Nonconvex-Concave Minimax Optimization. CoRR (2022)
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
Rethinking Graph Neural Networks for Anomaly Detection. CoRR (2022)
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
Rethinking Graph Neural Networks for Anomaly Detection. ICML (2022)
Oded Stein, Jiajin Li, Justin Solomon
A Splitting Scheme for Flip-Free Distortion Energies. SIAM J. Imaging Sci. 15 (2) (2022)
Yiping Lu, Jiajin Li, Lexing Ying, Jose H. Blanchet
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls. CoRR (2022)
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning. CoRR (2022)
Brandon Jew, Jiajin Li, Sriram Sankararaman, Jae Hoon Sul
An Efficient Linear Mixed Model Framework for Meta-Analytic Association Studies Across Multiple Contexts. WABI (2021)
Zhiming Guo, Hanbo Deng, Jiajin Li, Ran Liao, Hui Ma
Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses. Sensors 21 (21) (2021)
Lin Peng, Shaoxin Lin, Jianqiang Chen, Jiajin Li, Gary Zhang
Ka-band 1 W GaN MMIC Power Amplifier Design. ICSPCC (2021)
Carson Kent, Jiajin Li, José H. Blanchet, Peter W. Glynn
Modified Frank Wolfe in Probability Space. NeurIPS (2021)
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
Deconvolutional Networks on Graph Data. NeurIPS (2021)
Oded Stein, Jiajin Li, Justin Solomon
A Splitting Scheme for Flip-Free Distortion Energies. CoRR (2021)
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
Deconvolutional Networks on Graph Data. CoRR (2021)
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
The Gambler's Problem and Beyond. ICLR (2020)
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
The Gambler's Problem and Beyond. CoRR (2020)
Jiajin Li, Caihua Chen, Anthony Man-Cho So
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. NeurIPS (2020)
Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
Dirichlet Graph Variational Autoencoder. NeurIPS (2020)
Jiajin Li, Anthony Man-Cho So, Wing-Kin Ma
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions. IEEE Signal Process. Mag. 37 (5) (2020)
Jiajin Li, Anthony Man-Cho So, Wing-Kin Ma
Understanding Notions of Stationarity in Non-Smooth Optimization. CoRR (2020)
Huikang Liu, Xiaolu Wang, Jiajin Li, Anthony Man-Cho So
Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients. ICPR (2020)
Jiajin Li, Caihua Chen, Anthony Man-Cho So
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. CoRR (2020)
Jiajin Li, Ran Liao, Yi Tao, Zepeng Zhuo, Zhidi Liu, Hanbo Deng, Hui Ma
Probing the Cyanobacterial Microcystis Gas Vesicles after Static Pressure Treatment: A Potential In Situ Rapid Method. Sensors 20 (15) (2020)
Jiajin Li, Brandon Jew, Lingyu Zhan, Sungoo Hwang, Giovanni Coppola, Nelson B. Freimer, Jae Hoon Sul
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. PLoS Comput. Biol. 15 (12) (2019)
Jiajin Li, Sen Huang, Anthony Man-Cho So
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression. CoRR (2019)
Jiajin Li, Sen Huang, Anthony Man-Cho So
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression. NeurIPS (2019)
Jiajin Li, Baoxiang Wang
Policy Optimization with Second-Order Advantage Information. ICLR (Workshop) (2018)
Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
Field-aware probabilistic embedding neural network for CTR prediction. RecSys (2018)
Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang
Psrec: social recommendation with pseudo ratings. RecSys (2018)
Jiajin Li, Baoxiang Wang
Policy Optimization with Second-Order Advantage Information. CoRR (2018)
Jiajin Li, Baoxiang Wang, Shengyu Zhang
Policy Optimization with Second-Order Advantage Information. IJCAI (2018)