Tianyu Pang

6.8k total citations · 1 hit paper
22 papers, 863 citations indexed

About

Tianyu Pang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tianyu Pang has authored 22 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Tianyu Pang's work include Adversarial Robustness in Machine Learning (13 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Neural Network Applications (4 papers). Tianyu Pang is often cited by papers focused on Adversarial Robustness in Machine Learning (13 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Neural Network Applications (4 papers). Tianyu Pang collaborates with scholars based in China, United States and Singapore. Tianyu Pang's co-authors include Yinpeng Dong, Jun Zhu, Hang Su, Qian Fu, Xiao Yang, Zihao Xiao, Jun Zhu, Xiao Yang, Hui Xue and Hang Su and has published in prestigious journals such as Journal of Chromatography A, International Journal of Computer Vision and Urban Rail Transit.

In The Last Decade

Tianyu Pang

19 papers receiving 841 citations

Hit Papers

Evading Defenses to Trans... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
    2019 488 citations Yinpeng Dong, Tianyu Pang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianyu Pang China 10 713 319 178 96 77 22 863
Peg Howland United States 5 282 0.4× 436 1.4× 117 0.7× 62 0.6× 23 0.3× 9 643
Guilherme Perin Netherlands 12 339 0.5× 136 0.4× 158 0.9× 12 0.1× 55 0.7× 28 417
Michel Neuhaus Switzerland 8 210 0.3× 244 0.8× 66 0.4× 45 0.5× 11 0.1× 10 359
Matthieu Rivain France 10 441 0.6× 213 0.7× 102 0.6× 14 0.1× 39 0.5× 25 521
Matthew Mirman Switzerland 4 466 0.7× 107 0.3× 66 0.4× 15 0.2× 69 0.9× 6 523
Yunsheng Bai United States 7 183 0.3× 130 0.4× 25 0.1× 48 0.5× 40 0.5× 20 329
Changhoon Yim South Korea 14 100 0.1× 317 1.0× 149 0.8× 8 0.1× 98 1.3× 54 651
Murat Alçın Türkiye 14 158 0.2× 321 1.0× 25 0.1× 44 0.5× 117 1.5× 31 690
Murat Tuna Türkiye 15 180 0.3× 359 1.1× 20 0.1× 50 0.5× 137 1.8× 38 769

Countries citing papers authored by Tianyu Pang

Since Specialization
Citations

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

Fields of papers citing papers by Tianyu Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyu Pang. A scholar is included among the top collaborators of Tianyu Pang 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 Tianyu Pang. Tianyu Pang 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.
Pang, Tianyu, et al.. (2024). Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning. 1028–1043. 5 indexed citations
2.
3.
Du, Chao‐Hai, et al.. (2024). Graph Diffusion Policy Optimization. 9585–9611.
4.
Du, Chao‐Hai, et al.. (2023). Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. 7380–7391. 10 indexed citations
5.
6.
Pang, Tianyu, Di He, Yinpeng Dong, et al.. (2022). Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15202–15212. 8 indexed citations
7.
Jiao, Junfeng, et al.. (2021). Understanding the Impact of Street Patterns on Pedestrian Distribution: A Case Study in Tianjin, China. Urban Rail Transit. 7(3). 209–225. 7 indexed citations
8.
Pang, Tianyu, et al.. (2021). Research on Security Threat Assessment for Power IOT Terminal Based on Knowledge Graph. 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). 1717–1721. 2 indexed citations
9.
Yang, Xiao, Yinpeng Dong, Tianyu Pang, et al.. (2021). Towards Face Encryption by Generating Adversarial Identity Masks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3877–3887. 63 indexed citations
10.
Pang, Tianyu, Kun Xu, Yinpeng Dong, et al.. (2020). Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. arXiv (Cornell University). 5 indexed citations
11.
Pang, Tianyu, Xiao Yang, Yinpeng Dong, et al.. (2020). Boosting Adversarial Training with Hypersphere Embedding. Neural Information Processing Systems. 33. 7779–7792. 12 indexed citations
12.
Pang, Tianyu, Kun Xu, & Jun Zhu. (2020). Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. International Conference on Learning Representations. 8 indexed citations
13.
Dong, Yinpeng, Qian Fu, Xiao Yang, et al.. (2020). Benchmarking Adversarial Robustness on Image Classification. 318–328. 133 indexed citations
14.
Dong, Yinpeng, et al.. (2019). Improving Black-box Adversarial Attacks with a Transfer-based Prior. arXiv (Cornell University). 32. 10932–10942. 24 indexed citations
15.
16.
Pang, Tianyu, Chao Du, & Jun Zhu. (2018). Max-Mahalanobis Linear Discriminant Analysis Networks. International Conference on Machine Learning. 4013–4022. 11 indexed citations
17.
Dong, Yinpeng, Tianyu Pang, Hang Su, & Jun Zhu. (2018). Evading Defenses to Transferable Adversarial Examples by Mitigating Attention Shift. 1 indexed citations
18.
Chen, Yu, et al.. (2018). Detection of DGA Domains Based on Support Vector Machine. 16. 1–4. 2 indexed citations
19.
Dong, Yinpeng, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, & Jun Zhu. (2017). Discovering Adversarial Examples with Momentum. arXiv (Cornell University). 30 indexed citations
20.
Pang, Tianyu, Chao Du, & Jun Zhu. (2017). Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test.. 9 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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