Sijia Liu
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Pramod K. VarshneyMakan FardadPin‐Yu ChenEngin MaşazadeShiyu ChangAlfred O. HeroShengxian ZhuangZhangyang Wang
- Topics
- Adversarial Robustness in Machine Learning (27 papers)Distributed Sensor Networks and Detection Algorithms (23 papers)Sparse and Compressive Sensing Techniques (17 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaMexico
In The Last Decade
Sijia Liu
160 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 756
- Computer Networks and Communications 480
- Electrical and Electronic Engineering 480
- Computer Vision and Pattern Recognition 262
- Control and Systems Engineering 173
Countries citing papers authored by Sijia Liu
This map shows the geographic impact of Sijia Liu'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 Sijia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijia Liu more than expected).
Fields of papers citing papers by Sijia Liu
This network shows the impact of papers produced by Sijia Liu. 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 Sijia Liu. The network helps show where Sijia Liu may publish in the future.
Co-authorship network of co-authors of Sijia Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Sijia Liu. A scholar is included among the top collaborators of Sijia Liu 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 Sijia Liu. Sijia Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Rethinking machine unlearning for large language modelsbreakdown → | 17 |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 20 | |
| 11 | Adversarial Attack Generation Empowered by Min-Max Optimization | 11 |
| 12 | Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks | 1 |
| 13 | Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization | 3 |
| 14 | 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | 1 |
| 15 | 3 | |
| 16 | 7 | |
| 17 | Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. | 2 |
| 18 | Evading Real-Time Person Detectors by Adversarial T-shirt. | 7 |
| 19 | 2 | |
| 20 | The method of wood defect recognition based on PSO feature selection and compressed sensing. | 3 |
About Sijia Liu
Sijia Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 171 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (27 papers), Distributed Sensor Networks and Detection Algorithms (23 papers) and Sparse and Compressive Sensing Techniques (17 papers). The work is most often cited by research in Artificial Intelligence (756 citations), Computer Networks and Communications (480 citations) and Computer Vision and Pattern Recognition (262 citations). Sijia Liu has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Pramod K. Varshney, Makan Fardad, Pin‐Yu Chen, Engin Maşazade, Shiyu Chang, Alfred O. Hero, Shengxian Zhuang, Zhangyang Wang, Sundeep Prabhakar Chepuri and Geert Leus. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Energy Materials and Scientific Reports.
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.