Tsui-Wei Weng

1.5k total citations
20 papers, 271 citations indexed

About

Tsui-Wei Weng is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Tsui-Wei Weng has authored 20 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Tsui-Wei Weng's work include Adversarial Robustness in Machine Learning (7 papers), Probabilistic and Robust Engineering Design (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Tsui-Wei Weng is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Probabilistic and Robust Engineering Design (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Tsui-Wei Weng collaborates with scholars based in United States, Taiwan and Netherlands. Tsui-Wei Weng's co-authors include Luca Daniel, Zheng Zhang, Pin‐Yu Chen, Chung-Hao Tsai, Tzong‐Lin Wu, Dong‐Ho Han, Chung‐Hao Chen, Huan Zhang, Cho‐Jui Hsieh and Sijia Liu and has published in prestigious journals such as Optics Express, IEEE Transactions on Microwave Theory and Techniques and Computational Optimization and Applications.

In The Last Decade

Tsui-Wei Weng

17 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tsui-Wei Weng United States 8 111 105 54 41 26 20 271
Alex Dytso United States 10 186 1.7× 94 0.9× 16 0.3× 9 0.2× 25 1.0× 79 369
Tuhin Sahai United States 9 35 0.3× 48 0.5× 21 0.4× 68 1.7× 16 0.6× 25 226
M. V. Burnashev Russia 11 265 2.4× 110 1.0× 25 0.5× 15 0.4× 13 0.5× 66 397
Dimitrios Katselis Sweden 11 432 3.9× 38 0.4× 5 0.1× 48 1.2× 9 0.3× 33 542
Douglas S. Gonçalves Brazil 10 23 0.2× 74 0.7× 18 0.3× 7 0.2× 30 1.2× 34 259
Yohann de Castro France 8 16 0.1× 52 0.5× 12 0.2× 9 0.2× 89 3.4× 24 347
Mario Coutiño Netherlands 9 43 0.4× 160 1.5× 3 0.1× 60 1.5× 20 0.8× 41 284
Lawrence E. Spence United States 8 76 0.7× 96 0.9× 4 0.1× 8 0.2× 21 0.8× 17 245

Countries citing papers authored by Tsui-Wei Weng

Since Specialization
Citations

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

Fields of papers citing papers by Tsui-Wei Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsui-Wei Weng. 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 Tsui-Wei Weng. The network helps show where Tsui-Wei Weng may publish in the future.

Co-authorship network of co-authors of Tsui-Wei Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Tsui-Wei Weng. A scholar is included among the top collaborators of Tsui-Wei Weng 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 Tsui-Wei Weng. Tsui-Wei Weng 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
1.
Wang, Zhang, Subhro Das, Tsui-Wei Weng, et al.. (2024). One Step Closer to Unbiased Aleatoric Uncertainty Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16857–16864. 5 indexed citations
2.
Weng, Tsui-Wei, et al.. (2024). VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance. 79057–79094. 2 indexed citations
3.
Chen, Yilan, Wei Huang, & Tsui-Wei Weng. (2024). Provable and Efficient Dataset Distillation for Kernel Ridge Regression. 88739–88771.
4.
Liu, Linbo, et al.. (2023). Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches. 33. 1145–1150. 1 indexed citations
5.
Nguyen, Lam M., et al.. (2023). Attacking c-MARL More Effectively: A Data Driven Approach. abs/1902.04043. 1271–1276. 1 indexed citations
6.
Nguyen, Lam M., et al.. (2022). Finite-sum smooth optimization with SARAH. Computational Optimization and Applications. 82(3). 561–593. 9 indexed citations
7.
Weng, Tsui-Wei, et al.. (2022). Quantifying Safety of Learning-based Self-Driving Control Using Almost-Barrier Functions. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 12903–12910. 7 indexed citations
8.
Chen, Yilan, Wei Huang, Lam M. Nguyen, & Tsui-Wei Weng. (2021). On the Equivalence between Neural Network and Support Vector Machine. arXiv (Cornell University). 34. 2 indexed citations
9.
Weng, Tsui-Wei, Krishnamurthy Dvijotham, Jonathan Uesato, et al.. (2020). Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. International Conference on Learning Representations. 8 indexed citations
10.
Weng, Tsui-Wei, Pu Zhao, Sijia Liu, et al.. (2020). Towards Certificated Model Robustness Against Weight Perturbations. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6356–6363. 18 indexed citations
11.
Weng, Tsui-Wei, et al.. (2020). Neural Network Control Policy Verification With Persistent Adversarial Perturbation. 1. 10050–10059. 1 indexed citations
12.
Weng, Tsui-Wei, et al.. (2020). Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. 241–249. 22 indexed citations
13.
Zhang, Huan, Tsui-Wei Weng, Pin‐Yu Chen, Cho‐Jui Hsieh, & Luca Daniel. (2018). Efficient Neural Network Robustness Certification with General Activation Functions. DSpace@MIT (Massachusetts Institute of Technology). 31. 4939–4948. 41 indexed citations
14.
Zhang, Zheng, Tsui-Wei Weng, & Luca Daniel. (2016). Big-Data Tensor Recovery for High-Dimensional Uncertainty Quantification of Process Variations. IEEE Transactions on Components Packaging and Manufacturing Technology. 7(5). 687–697. 58 indexed citations
15.
Weng, Tsui-Wei, Zheng Zhang, Zhan Su, et al.. (2015). Uncertainty quantification of silicon photonic devices with correlated and non-Gaussian random parameters. Optics Express. 23(4). 4242–4242. 37 indexed citations
16.
Weng, Tsui-Wei, Chung-Hao Tsai, Chung‐Hao Chen, Dong‐Ho Han, & Tzong‐Lin Wu. (2014). Synthesis Model and Design of a Common-Mode Bandstop Filter (CM-BSF) With an All-Pass Characteristic for High-Speed Differential Signals. IEEE Transactions on Microwave Theory and Techniques. 62(8). 1647–1656. 57 indexed citations
17.
Weng, Tsui-Wei, Zheng Zhang, Zhan Su, & Luca Daniel. (2014). Fast Stochastic Simulation of Silicon Waveguide with Non-Gaussian Correlated Process Variations. 75. AF3B.7–AF3B.7. 1 indexed citations
18.
He, Tian-Xiao, Peter J.-S. Shiue, & Tsui-Wei Weng. (2014). Hyperbolic Expressions of Polynomial Sequences and Parametric Number Sequences Defined by Linear Recurrence Relations of Order 2. Digital Commons - IWU (Illinois Wesleyan University). 12.
19.
Weng, Tsui-Wei & Tzong‐Lin Wu. (2012). A novel miniaturized bandstop filter using defected ground on system in package (SiP). 3. 296–298.
20.
He, Tian-Xiao, Peter J.-S. Shiue, & Tsui-Wei Weng. (2011). Sequences of Numbers Meet the Generalized Gegenbauer-Humbert Polynomials. 2011. 1–16. 1 indexed citations

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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