Xiangru Lian

According to our database, Xiangru Lian authored at least 24 papers between 2015 and 2022.

Collaborative distances:

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

2022

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles.

Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu

CoRR, 2022

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.

Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

BAGUA: Scaling up Distributed Learning with System Relaxations.

Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang

Proc. VLDB Endow., 2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.

Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm.

Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang

CoRR, 2020

Stochastic Recursive Momentum for Policy Gradient Methods.

Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou

CoRR, 2020

2019

Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization.

Huizhuo Yuan, Xiangru Lian, Ji Liu

CoRR, 2019

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.

Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu

CoRR, 2019

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.

Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu

CoRR, 2019

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent.

Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression.

Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu

Proceedings of the 36th International Conference on Machine Learning, 2019

Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization.

Xiangru Lian, Ji Liu

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization.

Xiangru Lian, Ji Liu

CoRR, 2018

D²: Decentralized Training over Decentralized Data.

Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

Asynchronous Decentralized Parallel Stochastic Gradient Descent.

Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Finite-sum Composition Optimization via Variance Reduced Gradient Descent.

Xiangru Lian, Mengdi Wang, Ji Liu

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Asynchronous Parallel Greedy Coordinate Descent.

Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh

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

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

Staleness-Aware Async-SGD for Distributed Deep Learning.

Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization.

Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015