Jialin Liu

41 papers A* 10B 1Misc 1Journal 28Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Convergence-Motivated Learning-to-Optimize Framework for Decentralized Optimization.
IEEE Trans. Signal Process.
Yutong He, Qiulin Shang, Xinmeng Huang, Jialin Liu, Kun Yuan
2025 J jnl
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery.
CoRR
HanQin Cai, Chandra Kundu, Jialin Liu, Wotao Yin
2025 A* conf
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs.
ICML
Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2025 J jnl
Implicit Models: Expressive Power Scales with Test-Time Compute.
CoRR
Jialin Liu, Lisang Ding, Stanley J. Osher, Wotao Yin
2024 J jnl
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.
Trans. Mach. Learn. Res.
Haoyu Peter Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin
2024 J jnl
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs.
CoRR
Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2024 J jnl
Learning to optimize: A tutorial for continuous and mixed-integer optimization.
CoRR
Xiaohan Chen, Jialin Liu, Wotao Yin
2024 A* conf
Rethinking the Capacity of Graph Neural Networks for Branching Strategy.
NeurIPS
Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
2024 J jnl
Rethinking the Capacity of Graph Neural Networks for Branching Strategy.
CoRR
Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
2024 J jnl
S
CoRR
Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024 J jnl
S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching.
IEEE J. Sel. Top. Signal Process.
Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024 J jnl
Towards Robustness and Efficiency of Coherence-Guided Complex Convolutional Sparse Coding for Interferometric Phase Restoration.
IEEE Trans. Computational Imaging
Xiang Ding, Jian Kang, Yusong Bai, Anping Zhang, Jialin Liu, Naoto Yokoya
2023 J jnl
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.
CoRR
Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin
2023 A* conf
On Representing Linear Programs by Graph Neural Networks.
ICLR
Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2023 A* conf
On Representing Mixed-Integer Linear Programs by Graph Neural Networks.
ICLR
Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
2023 A* conf
Towards Constituting Mathematical Structures for Learning to Optimize.
ICML
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2023 J jnl
Towards Constituting Mathematical Structures for Learning to Optimize.
CoRR
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai
2022 J jnl
Coherence-Guided Complex Convolutional Sparse Coding for Interferometric Phase Restoration.
IEEE Trans. Geosci. Remote. Sens.
Xiang Ding, Jian Kang, Zhe Zhang, Yan Huang, Jialin Liu, Naoto Yokoya
2022 J jnl
Learning to Optimize: A Primer and A Benchmark.
J. Mach. Learn. Res.
Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2022 J jnl
On Representing Linear Programs by Graph Neural Networks.
CoRR
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
2022 J jnl
On Representing Mixed-Integer Linear Programs by Graph Neural Networks.
CoRR
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
2021 A* conf
Hyperparameter Tuning is All You Need for LISTA.
NeurIPS
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2021 J jnl
Hyperparameter Tuning is All You Need for LISTA.
CoRR
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2021 A* conf
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.
NeurIPS
HanQin Cai, Jialin Liu, Wotao Yin
2021 J jnl
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.
CoRR
HanQin Cai, Jialin Liu, Wotao Yin
2021 A* conf
Learning A Minimax Optimizer: A Pilot Study.
ICLR
Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
2021 J jnl
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration.
IEEE Trans. Neural Networks Learn. Syst.
Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir
2021 J jnl
Learning to Optimize: A Primer and A Benchmark.
CoRR
Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2021 J jnl
Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances.
SIAM J. Sci. Comput.
Jialin Liu, Wotao Yin, Wuchen Li, Yat Tin Chow
2020 J jnl
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration.
CoRR
Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir
2019 — conf
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA.
ICLR (Poster)
Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019 A* conf
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.
ICML
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019 J jnl
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers.
CoRR
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2018 J jnl
First- and Second-Order Methods for Online Convolutional Dictionary Learning.
SIAM J. Imaging Sci.
Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2018 A* conf
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds.
NeurIPS
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2018 J jnl
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds.
CoRR
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin
2017 J jnl
Online Convolutional Dictionary Learning.
CoRR
Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017 J jnl
Online Convolutional Dictionary Learning.
CoRR
Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2017 B conf
Online convolutional dictionary learning.
ICIP
Jialin Liu, Cristina Garcia-Cardona, Brendt Wohlberg, Wotao Yin
2015 Misc conf
Averaging random projection: A fast online solution for large-scale constrained stochastic optimization.
ICASSP
Jialin Liu, Yuantao Gu, Mengdi Wang
2015 J jnl
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints.
CoRR
Mengdi Wang, Yichen Chen, Jialin Liu, Yuantao Gu