Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization. - Xiangru Lian; Yijun Huang; Yuncheng Li; Ji Liu 002 (NIPS, 2015)

Staleness-Aware Async-SGD for Distributed Deep Learning. - Wei Zhang 022; Suyog Gupta; Xiangru Lian; Ji Liu 002 (IJCAI, 2016)

A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order. - Xiangru Lian; Huan Zhang 001; Cho-Jui Hsieh; Yijun Huang; Ji Liu 002 (NIPS, 2016)

Asynchronous Parallel Greedy Coordinate Descent. - Yang You 001; Xiangru Lian; Ji Liu 002; Hsiang-Fu Yu; Inderjit S. Dhillon; James Demmel; Cho-Jui Hsieh (NIPS, 2016)

Finite-sum Composition Optimization via Variance Reduced Gradient Descent. - Xiangru Lian; Mengdi Wang; Ji Liu 002 (AISTATS, 2017)

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. - Xiangru Lian; Ce Zhang 001; Huan Zhang 001; Cho-Jui Hsieh; Wei Zhang 022; Ji Liu 002 (NIPS, 2017)

Asynchronous Decentralized Parallel Stochastic Gradient Descent. - Xiangru Lian; Wei Zhang 022; Ce Zhang 001; Ji Liu 002 (ICML, 2018)

D2: Decentralized Training over Decentralized Data. - Hanlin Tang; Xiangru Lian; Ming Yan 006; Ce Zhang 001; Ji Liu 002 (ICML, 2018)

Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization. - Xiangru Lian; Ji Liu 002 (CoRR, 2018)

Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization. - Xiangru Lian; Ji Liu 002 (AISTATS, 2019)

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. - Hanlin Tang; Chen Yu 009; Xiangru Lian; Tong Zhang 001; Ji Liu 002 (ICML, 2019)

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. - Huizhuo Yuan; Xiangru Lian; Chris Junchi Li; Ji Liu 002; Wenqing Hu (NeurIPS, 2019)

DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Hanlin Tang; Xiangru Lian; Tong Zhang 001; Ji Liu 002 (CoRR, 2019)

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. - Hanlin Tang; Xiangru Lian; Shuang Qiu; Lei Yuan 001; Ce Zhang 001; Tong Zhang 001; Ji Liu 002 (CoRR, 2019)

Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization. - Huizhuo Yuan; Xiangru Lian; Ji Liu 002 (CoRR, 2019)

Stochastic Recursive Momentum for Policy Gradient Methods. - Huizhuo Yuan; Xiangru Lian; Ji Liu; Yuren Zhou (CoRR, 2020)

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. - Hanlin Tang; Shaoduo Gan; Samyam Rajbhandari; Xiangru Lian; Ji Liu 002; Yuxiong He; Ce Zhang 001 (CoRR, 2020)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. - Zhenyu Hu; Pengcheng Pi; Zhenyu Wu 002; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CVPR Workshops, 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 002; Ce Zhang 001; 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 001; Ji Liu (ICML, 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 001; Binhang Yuan; Sen Yang 004; et al. (Proc. VLDB Endow., 2021)

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 004; Honghuan Wu; Lei Sun; Haodong Lyu; Chengjun Liu; Xing Dong; Yiqiao Liao; Mingnan Luo; et al. (KDD, 2022)

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. - Zhenyu Hu; Zhenyu Wu 002; Pengcheng Pi; Yunhe Xue; Jiayi Shen; Jianchao Tan; Xiangru Lian; Zhangyang Wang; Ji Liu 002 (CoRR, 2022)