Xue Lin

4.1k citations
109 papers · 1.5k indexed · h-index 21
Topics
Advanced Neural Network Applications (44 papers)Adversarial Robustness in Machine Learning (25 papers)Domain Adaptation and Few-Shot Learning (11 papers)
Partner nations
United StatesChinaMexico

In The Last Decade

Xue Lin

102 papers receiving 1.5k citations

Peers

Xue Lin
Comparison fields: 5 of 126
  • Artificial Intelligence 759
  • Computer Vision and Pattern Recognition 566
  • Electrical and Electronic Engineering 337
  • Computer Networks and Communications 210
  • Information Systems 110
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Citations per field
00.5×1.5×2.3×
Caiwen Ding · 1×
Citations per year

Countries citing papers authored by Xue Lin

Since Specialization
Citations

This map shows the geographic impact of Xue Lin'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 Xue Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue Lin more than expected).

Fields of papers citing papers by Xue Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue Lin. 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 Xue Lin. The network helps show where Xue Lin may publish in the future.

Co-authorship network of co-authors of Xue Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xue Lin. A scholar is included among the top collaborators of Xue Lin 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 Xue Lin. Xue Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 3
4 0
5 2
6 15
7 5
8
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
2
9
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
39
10 25
11
Provable, Scalable and Automatic Perturbation Analysis on General Computational Graphs
0
12 2
13
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.
2
14
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
7
15
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
1
16 14
17 12
18 10
19
Scrambling Research of Digital Image Based on Hilbert Curve
20
20
The Foundation of Arithmetic for Organizing Examination Paper Based on Content of Exam
2

About Xue Lin

Xue Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (44 papers), Adversarial Robustness in Machine Learning (25 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (566 citations), Artificial Intelligence (759 citations) and Computational Mathematics (11 citations). Xue Lin has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Yanzhi Wang, Pin‐Yu Chen, Kaidi Xu, Pu Zhao, Xiaolong Ma, Sijia Liu, Wei Niu, Bin Ren, Xuehai Qian and Massoud Pedram. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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