Liu Liu

According to our database1, Liu Liu authored at least 14 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
CAA : Channelized Axial Attention for Semantic Segmentation.
CoRR, 2021

2020
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration.
CoRR, 2020

Deep Streaming Label Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Dualityfree Methods for Stochastic Composition Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

The Double-Accelerated Stochastic Method for Regularized Empirical Risk Minimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Quantum algorithm for finding the negative curvature direction in non-convex optimization.
CoRR, 2019

2018
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy.
IEEE Trans. Neural Networks Learn. Syst., 2018

Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient.
CoRR, 2018

Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem.
CoRR, 2018

Stochastic Zeroth-order Optimization via Variance Reduction method.
CoRR, 2018

2017
Label Propagation via Teaching-to-Learn and Learning-to-Teach.
IEEE Trans. Neural Networks Learn. Syst., 2017

Diversified dictionaries for multi-instance learning.
Pattern Recognit., 2017

Duality-free Methods for Stochastic Composition Optimization.
CoRR, 2017

2016
Sublinear Dual Coordinate Ascent for Regularized Loss Minimization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016


  Loading...