Kai Xiao

617 total citations
5 papers, 141 citations indexed

About

Kai Xiao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kai Xiao has authored 5 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Kai Xiao's work include Adversarial Robustness in Machine Learning (4 papers), Scheduling and Optimization Algorithms (1 paper) and Optimization and Search Problems (1 paper). Kai Xiao is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Scheduling and Optimization Algorithms (1 paper) and Optimization and Search Problems (1 paper). Kai Xiao collaborates with scholars based in United States, Belgium and United Kingdom. Kai Xiao's co-authors include Russ Tedrake, Aleksander Mądry, Nur Muhammad Mahi Shafiullah, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli, Jonathan Uesato, Tsui-Wei Weng, Robert Stanforth and Jayson Lynch and has published in prestigious journals such as Graphs and Combinatorics, arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Kai Xiao

5 papers receiving 131 citations

Peers

Kai Xiao
Comparison fields: 5 of 32
  • Artificial Intelligence 119
  • Computer Vision and Pattern Recognition 34
  • Electrical and Electronic Engineering 29
  • Control and Systems Engineering 19
  • Signal Processing 17
Replace Jonathan Uesato with:
Jonathan Uesato United States
Jianmin Guo China
Naganand Doraswamy
Markku–Juhani O. Saarinen United Kingdom
Haining Wang United States
Hatem Bettahar France
Patrick Musau United States
Aymen Boudguiga France
Marcel Medwed Austria
Jonathan Uesato United States View profile →
Citations per field, relative to Kai Xiao
Kai Xiao · 1×
Citations per year, relative to Kai Xiao
Kai Xiao · 1×

Countries citing papers authored by Kai Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Xiao

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

All Works

5 of 5 papers shown
# Work Indexed citations
1
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control
8
2
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES
4
3 2
4
Training for faster adversarial robustness verification via inducing Relu stability
13
5 114

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026