Guannan Liang

According to our database, Guannan Liang authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Stochastic privacy-preserving methods for nonconvex sparse learning.

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

Inf. Sci., June, 2023

2022

Calibrating the adaptive learning rate to improve convergence of ADAM.

Qianqian Tong, Guannan Liang, Jinbo Bi

Neurocomputing, 2022

Meta-Shop: Improving Item Advertisement For Small Businesses.

Yang Shi, Guannan Liang, Young-joo Chung

CoRR, 2022

Federated Optimization of ℓ0-norm Regularized Sparse Learning.

Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi

Algorithms, 2022

2021

Asynchronous parallel stochastic Quasi-Newton methods.

Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi

Parallel Comput., 2021

Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods.

Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

CoRR, 2021

Federated Nonconvex Sparse Learning.

Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi

CoRR, 2021

Shared Neural Item Representations for Completely Cold Start Problem.

Ramin Raziperchikolaei, Guannan Liang, Young-joo Chung

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

An Efficient Algorithm for Deep Stochastic Contextual Bandits.

Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Differentially Private and Communication Efficient Collaborative Learning.

Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data.

Qianqian Tong, Guannan Liang, Jinbo Bi

CoRR, 2020

Effective Proximal Methods for Non-convex Non-smooth Regularized Learning.

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Towards Plausible Differentially Private ADMM Based Distributed Machine Learning.

Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning.

Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance.

Qianqian Tong, Guannan Liang, Jinbo Bi

CoRR, 2019

2016

A Sparse Interactive Model for Matrix Completion with Side Information.

Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016