Stephen Tu

3.1k citations
25 papers · 1.7k · 3 hit papers · h-index 14

Impact in

Papers in

Stephen Tu

25 papers receiving 1.7k citations

Stephen Tu's Hit Papers

On the Sample Complexity of the Linear Quadratic Regulator 2019 · 268 citations
2680+4+8Years since publication100200300400500

Peers

Stephen Tu
Comparison fields: 5 of 54
  • Artificial Intelligence 895
  • Control and Systems Engineering 429
  • Computational Theory and Mathematics 224
  • Information Systems 280
  • Computer Networks and Communications 234
Replace Dongdai Lin with:
Dongdai Lin China
Eranda Çela Austria
Alex Sprintson United States
Tianyi Chen United States
Ermin Wei United States
András György Canada
Antonio Filieri Germany
Johann M. Ph. Schumann United States
Alin Dobra United States
Meng Wu China
Stephen Tu relative to Dongdai Lin China Dongdai Lin's profile →
Citations per field
00.5×1.5×1.8×
Dongdai Lin · 1×
Citations per year

Countries citing papers authored by Stephen Tu

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Tu Line = papers co-authored together Stephen Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning Classification over Encrypted Data
Hit paper breakdown →
2015521
2
On the Sample Complexity of the Linear Quadratic Regulator
Hit paper breakdown →
2019268
3
Processing analytical queries over encrypted data
Hit paper breakdown →
2013265
4 2020131
5 201399
6
Low-rank solutions of linear matrix equations via procrustes flow
201680
7 201973
8
Fast Databases with Fast Durability and Recovery Through Multicore Parallelism
201470
9 201959
10 201231
11 202125
12
Machine Learning Classification over Encrypted Data.
201424
13 201924
14 202414
15 202110
16
On the Approximation of Toeplitz Operators for Nonparametric H ∞ -norm Estimation.
20187
17 20187
18 20106
19 20106
20 20194

About Stephen Tu

Stephen Tu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Applied Mathematics, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Control Systems and Identification (8 papers), Advanced Control Systems Optimization (6 papers), Advanced Database Systems and Queries (6 papers), Reinforcement Learning in Robotics (4 papers), Stability and Control of Uncertain Systems (3 papers), Cryptography and Data Security (3 papers), Formal Methods in Verification (3 papers) and Adaptive Dynamic Programming Control (2 papers). The work is most often cited by research in Artificial Intelligence (895 citations), Control and Systems Engineering (429 citations), Computational Theory and Mathematics (224 citations), Information Systems (280 citations) and Computer Networks and Communications (234 citations). Stephen Tu has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Raphaël Bost, Raluca Ada Popa, Shafi Goldwasser, Nikolai Matni, Benjamin Recht, Sarah Dean, Nickolai Zeldovich, M. Frans Kaashoek, Horia Mania and Lars Lindemann. Their work appears in journals such as Foundations of Computational Mathematics, Proceedings of the VLDB Endowment, IFAC-PapersOnLine, neural information processing systems and Advances in Computing and Communications.

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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