Xue Lin
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- Advanced Neural Network Applications 44
- Artificial Intelligence top 2%
- Adversarial Robustness in Machine Learning 25
- Domain Adaptation and Few-Shot Learning 11
- Anomaly Detection Techniques and Applications 8
- Neural Networks and Applications 5
- Machine Learning and ELM 5
- Computational Mathematics top 10%
- Hardware and Architecture top 5%
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- Advanced Memory and Neural Computing 9
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- Cloud Computing and Resource Management 9
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Xue Lin
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 566
- Artificial Intelligence 759
- Computational Mathematics 11
- Hardware and Architecture 91
- Computer Networks and Communications 210
Countries citing papers authored by Xue Lin
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
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
The 25 scholars most cited alongside Xue Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 5 | |
| 8 | Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers | 2021 | 2 |
| 9 | Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification | 2021 | 39 |
| 10 | 2020 | 25 | |
| 11 | Provable, Scalable and Automatic Perturbation Analysis on General Computational Graphs | 2020 | 0 |
| 12 | 2020 | 2 | |
| 13 | A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. | 2020 | 2 |
| 14 | Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond | 2020 | 7 |
| 15 | 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | 2020 | 1 |
| 16 | 2018 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2017 | 10 | |
| 19 | Scrambling Research of Digital Image Based on Hilbert Curve | 2004 | 20 |
| 20 | The Foundation of Arithmetic for Organizing Examination Paper Based on Content of Exam | 2001 | 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), Domain Adaptation and Few-Shot Learning (11 papers), Advanced Memory and Neural Computing (9 papers), Cloud Computing and Resource Management (9 papers), Anomaly Detection Techniques and Applications (8 papers), Neural Networks and Applications (5 papers) and Machine Learning and ELM (5 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.