Xiangru Lian - RankMe

33 papers A* 8A 2Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles. CoRR Zhenyu Hu, Zhenyu Wu, Pengcheng Pi, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
2022	A*	`conf`	Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 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
2021	A*	`conf`	1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. ICML Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021	J	`jnl`	1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. CoRR Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
2021	J	`jnl`	BAGUA: Scaling up Distributed Learning with System Relaxations. CoRR 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	J	`jnl`	BAGUA: Scaling up Distributed Learning with System Relaxations. Proc. VLDB Endow. 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	A*	`conf`	DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. ICML Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
2021	J	`jnl`	DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. CoRR Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
2021	—	`conf`	E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. CVPR Workshops Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu
2021	J	`jnl`	Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR 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
2021	—	`conf`	The 2020 Low-Power Computer Vision Challenge. AICAS 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
2020	J	`jnl`	APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm. CoRR Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari, Xiangru Lian, Ji Liu, Yuxiong He, Ce Zhang
2020	J	`jnl`	Stochastic Recursive Momentum for Policy Gradient Methods. CoRR Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou
2019	J	`jnl`	DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu
2019	J	`jnl`	DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR Hanlin Tang, Xiangru Lian, Tong Zhang, Ji Liu
2019	A*	`conf`	DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression. ICML Hanlin Tang, Chen Yu, Xiangru Lian, Tong Zhang, Ji Liu
2019	A*	`conf`	Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. NeurIPS Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu
2019	A	`conf`	Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization. AISTATS Xiangru Lian, Ji Liu
2019	J	`jnl`	Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization. CoRR Huizhuo Yuan, Xiangru Lian, Ji Liu
2018	A*	`conf`	Asynchronous Decentralized Parallel Stochastic Gradient Descent. ICML Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
2018	A*	`conf`	D ICML Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018	J	`jnl`	D CoRR Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu
2018	J	`jnl`	Revisit Batch Normalization: New Understanding from an Optimization View and a Refinement via Composition Optimization. CoRR Xiangru Lian, Ji Liu
2017	J	`jnl`	Asynchronous Decentralized Parallel Stochastic Gradient Descent. CoRR Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
2017	—	`conf`	Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. NIPS Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017	J	`jnl`	Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017	A	`conf`	Finite-sum Composition Optimization via Variance Reduced Gradient Descent. AISTATS Xiangru Lian, Mengdi Wang, Ji Liu
2016	—	`conf`	A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order. NIPS Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu
2016	—	`conf`	Asynchronous Parallel Greedy Coordinate Descent. NIPS Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh
2016	A*	`conf`	Staleness-Aware Async-SGD for Distributed Deep Learning. IJCAI Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu
2015	—	`conf`	Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization. NIPS Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu
2015	J	`jnl`	Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization. CoRR Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu
2015	J	`jnl`	Staleness-aware Async-SGD for Distributed Deep Learning. CoRR Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu