Lian, Xiangru

14 publications

ICML 2021 1-Bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He

ICML 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

CVPRW 2021 E2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu

ICML 2019 DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu

NeurIPS 2019 Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent Wenqing Hu, Chris Junchi Li, Xiangru Lian, Ji Liu, Huizhuo Yuan

AISTATS 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization Xiangru Lian, Ji Liu

ICML 2018 $d^2$: Decentralized Training over Decentralized Data Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu

ICML 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu

NeurIPS 2017 Can Decentralized Algorithms Outperform Centralized Algorithms? a Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu

AISTATS 2017 Finite-Sum Composition Optimization via Variance Reduced Gradient Descent Xiangru Lian, Mengdi Wang, Ji Liu

NeurIPS 2016 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu

NeurIPS 2016 Asynchronous Parallel Greedy Coordinate Descent Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S Dhillon, James Demmel, Cho-Jui Hsieh

IJCAI 2016 Staleness-Aware Async-SGD for Distributed Deep Learning Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu

NeurIPS 2015 Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu