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.
  
  
• Yuan Zhang, Fei xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo;
  Unveiling the Tapestry of Consistency in Large Vision-Language Models;
  In Annual Conference on Neural Information Processing Systems (NeurIPS) 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.
  
  
• 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.
  
  
• 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.
  
  
• Xue Chen, Kuan Cheng, Xin Li, Minghui Ouyang;
  Improved Decoding of Expander Codes;
  In Innovations in Theoretical Computer Science (ITCS) 2022.
  
  
• Kuan Cheng, William M. Hoza;
  Hitting Sets Give Two-Sided Derandomization of Small Space;
  In Theory of Computing (ToC) 2022.
  
  
• 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.
  
  
• 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.
  
  
• 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.
  
  
• Kuan Cheng, Xin Li;
  Efficient Document Exchange and Error Correcting Codes with Asymmetric Information;
  In ACM-SIAM Symposium on Discrete Algorithms (SODA) 2021.
  
  
• Kuan Cheng, Zhengzhong Jin, Xin Li, Yu Zheng;
  Space Efficient Deterministic Approximation of String Measures;
  Arxiv preprint 2020.
  
  
• Kuan Cheng, William M. Hoza;
  Hitting Sets Give Two-Sided Derandomization of Small Space;
  In Computational Complexity Conference (CCC) 2020.
  
  
• Kuan Cheng, Xin Li, Yu Zheng;
  Locally Decodable Codes with Randomized Encoding;
  Arxiv preprint 2020.
  
  
• 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.
  
  
• 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.
  
  
• 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.
  
  
• Kuan Cheng, Xin Li;
  Randomness Extraction in AC⁰ and with Small Locality;
  In International Conference on Randomization and Computation (RANDOM) 2018.
  
  
• Kuan Cheng, Yuval Ishai, Xin Li;
  Near-Optimal Secret Sharing and Error Correcting Codes in AC⁰;
  In Theory of Cryptography Conference (TCC) 2017.