Xiangru Lian

Joined

January 2020

Names

Xiangru Lian (Preferred)

Emails

****@mail.xrlian.com (Confirmed)

Personal Links

Career & Education History

PhD student

University of Rochester (rochester.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

2015 – 2019

Expertise

Stochastic optimization

Present

Convex optimization

Present

Publications

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
- 2021 (modified: 31 Mar 2022)
- CoRR 2021
- Readers: Everyone
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
- 2021 (modified: 31 Mar 2022)
- ICML 2021
- Readers: Everyone
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
- 2021 (modified: 31 Mar 2022)
- ICML 2021
- Readers: Everyone
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
- 2021 (modified: 31 Mar 2022)
- CoRR 2021
- Readers: Everyone
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
- 2021 (modified: 31 Mar 2022)
- CoRR 2021
- Readers: Everyone
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 et al. (7 additional authors not shown)
- 2021 (modified: 31 Mar 2022)
- CoRR 2021
- Readers: Everyone
Stochastic Recursive Momentum for Policy Gradient Methods
Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou
- 2020 (modified: 31 Mar 2022)
- CoRR 2020
- Readers: Everyone
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm
Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
- 2020 (modified: 31 Mar 2022)
- CoRR 2020
- Readers: Everyone
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization
Huizhuo Yuan, Xiangru Lian, Ji Liu
- 2019 (modified: 31 Mar 2022)
- CoRR 2019
- Readers: Everyone
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu
- 2019 (modified: 31 Mar 2022)
- NeurIPS 2019
- Readers: Everyone

View all 21 publications

Co-Authors

View all 57 co-authors