Guannan Liang - RankMe

21 papers A* 4A 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLM-Powered AI Agent Systems and Their Applications in Industry. CoRR Guannan Liang, Qianqian Tong
2023	J	`jnl`	Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2022	J	`jnl`	Calibrating the adaptive learning rate to improve convergence of ADAM. Neurocomputing Qianqian Tong, Guannan Liang, Jinbo Bi
2022	J	`jnl`	Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi
2022	J	`jnl`	Meta-Shop: Improving Item Advertisement For Small Businesses. CoRR Yang Shi, Guannan Liang, Young-joo Chung
2021	A*	`conf`	An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
2021	J	`jnl`	An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
2021	J	`jnl`	Asynchronous parallel stochastic Quasi-Newton methods. Parallel Comput. Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
2021	A*	`conf`	Differentially Private and Communication Efficient Collaborative Learning. AAAI Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan
2021	J	`jnl`	Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods. CoRR Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
2021	J	`jnl`	Federated Nonconvex Sparse Learning. CoRR Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi
2021	A	`conf`	Shared Neural Item Representations for Completely Cold Start Problem. RecSys Ramin Raziperchikolaei, Guannan Liang, Young-joo Chung
2020	A*	`conf`	An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
2020	J	`jnl`	Asynchronous Parallel Stochastic Quasi-Newton Methods. CoRR Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
2020	J	`jnl`	Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data. CoRR Qianqian Tong, Guannan Liang, Jinbo Bi
2020	A*	`conf`	Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2020	J	`jnl`	Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2020	A	`conf`	Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2020	J	`jnl`	Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2019	J	`jnl`	Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. CoRR Qianqian Tong, Guannan Liang, Jinbo Bi
2016	—	`conf`	A Sparse Interactive Model for Matrix Completion with Side Information. NIPS Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi