Xiangru Lian

2.3k citations
13 papers · 495 indexed · h-index 9
Topics
Stochastic Gradient Optimization Techniques (9 papers)Sparse and Compressive Sensing Techniques (4 papers)Privacy-Preserving Technologies in Data (3 papers)

In The Last Decade

Xiangru Lian

13 papers receiving 462 citations

Peers

Xiangru Lian
Comparison fields: 5 of 57
  • Artificial Intelligence 390
  • Computer Networks and Communications 166
  • Computer Vision and Pattern Recognition 143
  • Computational Mechanics 113
  • Electrical and Electronic Engineering 62
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Nati Srebro United States
Jakub Konečný United Kingdom
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Chao Yao China
Micah Goldblum United States
Louis Feng United States
Alex Conconi Italy
Saghar Hosseini United States
Robert Nishihara United States
Xiaoxin Wu United States
Xiangru Lian relative to Nati Srebro United States Nati Srebro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiangru Lian

Since Specialization
Citations

This map shows the geographic impact of Xiangru Lian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiangru Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangru Lian more than expected).

Fields of papers citing papers by Xiangru Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiangru Lian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiangru Lian. The network helps show where Xiangru Lian may publish in the future.

Co-authorship network of co-authors of Xiangru Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangru Lian. A scholar is included among the top collaborators of Xiangru Lian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiangru Lian. Xiangru Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 18
2 2
3
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization
14
4
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
5
5
$D^2$: Decentralized Training over Decentralized Data
1
6
PARAMETRIZED DEEP Q-NETWORKS LEARNING: PLAYING ONLINE BATTLE ARENA WITH DISCRETE-CONTINUOUS HYBRID ACTION SPACE
1
7
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
188
8
Finite-sum composition optimization via variance reduced gradient descent
17
9
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
19
10
Staleness-aware async-SGD for distributed deep learning
100
11
Asynchronous Parallel Greedy Coordinate Descent
15
12
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
107
13 8

About Xiangru Lian

Xiangru Lian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 13 papers that have together received 495 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (9 papers), Sparse and Compressive Sensing Techniques (4 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Artificial Intelligence (390 citations), Computer Networks and Communications (166 citations) and Computer Vision and Pattern Recognition (143 citations). Xiangru Lian has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ji Liu, Cho‐Jui Hsieh, Ce Zhang, Ji Liu, Yijun Huang, Wei Zhang, Huan Zhang, Yuncheng Li, Wei Zhang and Suyog Gupta. Their work appears in journals such as Proceedings of the VLDB Endowment, Forest Policy and Economics and arXiv (Cornell University).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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