Kuan Cheng   程   宽  
I am an Assistant Professor at Center on Frontiers of Computing Studies and School of Computer Science, Peking University.
My research primarily focuses on Models and Complexity of Computation, with a special emphasis on Randomness in Computation and Coding Theory. I also have a strong interest in Machine Learning, Quantum Computing, and other intriguing topics, even those outside of computer science.
Email: ckkcdh at hotmail.com/gmail.com/pku.edu.cn
Office: 206-3, Courtyard No. 5, Jingyuan. (In office every Tuesday 2pm-5pm)
I'm looking for talent students and postdocs interested in TCS and related areas! Please feel free to contact me.
Contents:
Previous Experiences\
Teaching\
Research Publications
Previous Experiences
Before I came to Peking University, I was a postdoc at The University of Texas at Austin, hosted by David Zuckerman.
I achieved a PhD degree from Johns Hopkins University, Computer Science Department, advised by Xin Li.
I obtained a master degree from Tsinghua University and a bachelor degree from Shandong University.
Teaching
Introduction to Theory of Computation, 2021 Spring, 2022 Spring, 2023 Spring, 2024 Spring.
Theory of Computation: Advanced Methods and Frontier Topics, 2022 Fall, 2023 Fall.
Research Publications
- Kuan Cheng, Minghui Ouyang, Chong Shangguan, Yuanting Shen;
When Can an Expander Code Correct Ω(n) Errors in O(n) Time?;
In International Conference on Randomization and Computation (RANDOM) 2024.
- Kuan Cheng, Ruiyang Wu;
Randomness Extractors in AC0 and NC1: Optimal up to Constant Factors;
In International Conference on Randomization and Computation (RANDOM) 2024.
- Kuan Cheng, Yichuan Wang;
BPL ⊆ L-AC1;
In Computation Complexity Conference (CCC) 2024.
- Kuan Cheng, Elena Grigorescu, Xin Li, Madhu Sudan, Minshen Zhu;
On k-Mer-Based and Maximum Likelihood Estimation Algorithms for Trace Reconstruction;
In IEEE International Symposium on Information Theory (ISIT) 2024.
- Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang;
FreeKD: Knowledge Distillation via Semantic Frequency Prompt;
In Conference on Computer Vision and Pattern Recognition (CVPR) 2024.
- Xue Chen, Kuan Cheng, Xin Li, Songtao Mao;
Random Shortening of Linear Codes and Applications;
In International Computing and Combinatorics Conference (COCOON) 2023.
- Alex Block, Jeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu;
On Relaxed Locally Decodable Codes for Hamming and Insertion-Deletion Errors;
In Computation Complexity Conference (CCC) 2023.
- Kuan Cheng, Zhengzhong Jin, Xin Li, Zhide Wei, Yu Zheng;
Linear Insertion Deletion Codes in the High-Noise and High-Rate Regimes;
In International Colloquium on Automata, Languages and Programming (ICALP) 2023.
- Kuan Cheng, Shaofeng H.-C. Jiang, Luojian Wei, Zhide Wei;
On The Relative Error of Random Fourier Features for Preserving Kernel Distance;
In International Conference on Learning Representations (ICLR) 2023.
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Kuan Cheng, Venkatesan Guruswami, Bernhard Haeupler, Xin Li;
Efficient Linear and Affine Codes for Correcting Insertions/Deletions;
In SIAM Journal on Discrete Mathematics (SIDMA) 2023.
- Xue Chen, Kuan Cheng, Xin Li, Minghui Ouyang;
Improved Decoding of Expander Codes;
In IEEE Transaction on Information Theory (IEEE TIT) 2023.
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Kuan Cheng, Zhengzhong Jin, Xin Li, Ke Wu;
Deterministic Document Exchange Protocols and Almost Optimal Binary Codes for Edit Errors;
In Journal of the ACM (JACM) 2022.
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Xue Chen, Kuan Cheng, Xin Li, Minghui Ouyang;
Improved Decoding of Expander Codes;
In Innovations in Theoretical Computer Science (ITCS) 2022.
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Kuan Cheng, William M. Hoza;
Hitting Sets Give Two-Sided Derandomization of Small Space;
In Theory of Computing (ToC) 2022.
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Jeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng and Minshen Zhu;
Exponential Lower Bounds for Locally Decodable Codes Correcting Insertions and Deletions;
In Annual IEEE Symposium on Foundations of Computer Science (FOCS) 2021.
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Kuan Cheng, Alireza Farhadi, MohammadTaghi Hajiaghayi, Zhengzhong Jin, Xin Li, Aviad Rubinstein, Saeed Seddighin, Yu Zheng;
Streaming and Small Space Approximation Algorithms for Edit Distance and Longest Common Subsequence;
In International Colloquium on Automata, Languages and Programming (ICALP) 2021.
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Kuan Cheng, Venkatesan Guruswami, Bernhard Haeupler, Xin Li;
Efficient Linear and Affine Codes for Correcting Insertions/Deletions;
In ACM-SIAM Symposium on Discrete Algorithms (SODA) 2021.
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Kuan Cheng, Xin Li;
Efficient Document Exchange and Error Correcting Codes with Asymmetric Information;
In ACM-SIAM Symposium on Discrete Algorithms (SODA) 2021.
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Kuan Cheng, Zhengzhong Jin, Xin Li, Yu Zheng;
Space Efficient Deterministic Approximation of String Measures;
Arxiv preprint 2020.
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Kuan Cheng, William M. Hoza;
Hitting Sets Give Two-Sided Derandomization of Small Space;
In Computational Complexity Conference (CCC) 2020.
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Kuan Cheng, Xin Li, Yu Zheng;
Locally Decodable Codes with Randomized Encoding;
Arxiv preprint 2020.
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Kuan Cheng, Zhengzhong Jin, Xin Li, Ke Wu;
Block Edit Errors with Transpositions: Deterministic Document Exchange Protocols and Almost Optimal Binary Codes;
In International Colloquium on Automata, Languages and Programming (ICALP) 2019.
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Kuan Cheng, Bernhard Haeupler, Xin Li, Amirbehshad Shahrasbi, Ke Wu;
Synchronization strings: Highly efficient deterministic constructions over small alphabets;
In ACM-SIAM Symposium on Discrete Algorithms (SODA) 2019.
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Kuan Cheng, Zhengzhong Jin, Xin Li, Ke Wu;
Deterministic Document Exchange Protocols, and Almost Optimal Binary Codes for Edit Errors;
In Annual IEEE Symposium on Foundations of Computer Science (FOCS) 2018.
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Kuan Cheng, Xin Li;
Randomness Extraction in AC0 and with Small Locality;
In International Conference on Randomization and Computation (RANDOM) 2018.
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Kuan Cheng, Yuval Ishai, Xin Li;
Near-Optimal Secret Sharing and Error Correcting Codes in AC0;
In Theory of Cryptography Conference (TCC) 2017.