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ORCIDJiajin Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c22]José H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu:
Stability Evaluation through Distributional Perturbation Analysis. ICML 2024- [i20]Jose H. Blanchet, Jiajin Li, Markus Pelger, Greg Zanotti:
Automatic Outlier Rectification via Optimal Transport. CoRR abs/2403.14067 (2024) - [i19]He Chen, Jiajin Li, Anthony Man-Cho So:
Spurious Stationarity and Hardness Results for Mirror Descent. CoRR abs/2404.08073 (2024) - [i18]Jose H. Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu:
Stability Evaluation via Distributional Perturbation Analysis. CoRR abs/2405.03198 (2024) - 2023
- [c21]Kyriakos Lotidis, Nicholas Bambos, Jose H. Blanchet, Jiajin Li:
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints. AISTATS 2023: 8629-8644 - [c20]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: 1638-1651 - [c19]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 - [c18]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 - [c17]Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So:
Outlier-Robust Gromov-Wasserstein for Graph Data. NeurIPS 2023 - [c16]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 - [i17]Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li:
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. CoRR abs/2301.12721 (2023) - [i16]Lemin Kong, Jiajin Li, Anthony Man-Cho So:
Outlier-Robust Gromov Wasserstein for Graph Data. CoRR abs/2302.04610 (2023) - [i15]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 abs/2303.06595 (2023) - 2022
- [j5]Oded Stein, Jiajin Li
, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. SIAM J. Imaging Sci. 15(2): 925-959 (2022) - [c15]Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li:
Rethinking Graph Neural Networks for Anomaly Detection. ICML 2022: 21076-21089 - [c14]Jiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen:
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints. NeurIPS 2022 - [i14]Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. CoRR abs/2201.11945 (2022) - [i13]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 abs/2205.08115 (2022) - [i12]Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li:
Rethinking Graph Neural Networks for Anomaly Detection. CoRR abs/2205.15508 (2022) - [i11]Jiajin Li, Linglingzhi Zhu, Anthony Man-Cho So:
Nonsmooth Composite Nonconvex-Concave Minimax Optimization. CoRR abs/2209.10825 (2022) - [i10]Jiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen:
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints. CoRR abs/2210.01413 (2022) - [i9]Yiping Lu, Jiajin Li, Lexing Ying, Jose H. Blanchet:
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls. CoRR abs/2211.15241 (2022) - 2021
- [b1]Jiajin Li:
Developing Machine Learning and Statistical Methods for the Analysis of Genetics and Genomics. University of California, Los Angeles, USA, 2021 - [j4]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): 7344 (2021) - [c13]Lin Peng, Shaoxin Lin, Jianqiang Chen, Jiajin Li, Gary Zhang:
Ka-band 1 W GaN MMIC Power Amplifier Design. ICSPCC 2021: 1-4 - [c12]Carson Kent, Jiajin Li, José H. Blanchet, Peter W. Glynn:
Modified Frank Wolfe in Probability Space. NeurIPS 2021: 14448-14462 - [c11]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. NeurIPS 2021: 21019-21030 - [c10]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: 10:1-10:17 - [i8]Oded Stein, Jiajin Li, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. CoRR abs/2107.05200 (2021) - [i7]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. CoRR abs/2110.15528 (2021) - 2020
- [j3]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): 4170 (2020) - [j2]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): 18-31 (2020) - [c9]Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. ICLR 2020 - [c8]Huikang Liu, Xiaolu Wang, Jiajin Li, Anthony Man-Cho So:
Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients. ICPR 2020: 2150-2157 - [c7]Jiajin Li, Caihua Chen, Anthony Man-Cho So:
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. NeurIPS 2020 - [c6]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [i6]Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. CoRR abs/2001.00102 (2020) - [i5]Jiajin Li, Anthony Man-Cho So, Wing-Kin Ma:
Understanding Notions of Stationarity in Non-Smooth Optimization. CoRR abs/2006.14901 (2020) - [i4]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020) - [i3]Jiajin Li, Caihua Chen, Anthony Man-Cho So:
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine. CoRR abs/2010.12865 (2020)
2010 – 2019
- 2019
- [j1]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) - [c5]Jiajin Li, Sen Huang, Anthony Man-Cho So:
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression. NeurIPS 2019: 3939-3949 - [i2]Jiajin Li, Sen Huang, Anthony Man-Cho So:
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression. CoRR abs/1910.12778 (2019) - 2018
- [c4]Jiajin Li, Baoxiang Wang:
Policy Optimization with Second-Order Advantage Information. ICLR (Workshop) 2018 - [c3]Jiajin Li, Baoxiang Wang, Shengyu Zhang:
Policy Optimization with Second-Order Advantage Information. IJCAI 2018: 5038-5044 - [c2]Yitong Meng, Guangyong Chen, Jiajin Li, Shengyu Zhang:
Psrec: social recommendation with pseudo ratings. RecSys 2018: 397-401 - [c1]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: 412-416 - [i1]Jiajin Li, Baoxiang Wang:
Policy Optimization with Second-Order Advantage Information. CoRR abs/1805.03586 (2018)
Coauthor Index
aka: José H. Blanchet
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