Yeyuan Chen

Orcid: 0009-0006-5696-4628

According to our database1, Yeyuan Chen authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Random to Explicit via Subspace Designs with Applications to Local Properties and Matroids.
Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

Combinatorial Bounds for List Recovery via Discrete Brascamp-Lieb Inequalities.
Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025
Unique Decoding of Reed-Solomon and Related Codes for Semi-Adversarial Errors.
CoRR, April, 2025

Optimal Erasure Codes and Codes on Graphs.
CoRR, April, 2025

Explicit Folded Reed-Solomon and Multiplicity Codes Achieve Relaxed Generalized Singleton Bounds.
Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Unique-neighbor Expanders with Better Expansion for Polynomial-sized Sets.
Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024
The Gap Between Greedy Algorithm and Minimum Multiplicative Spanner.
CoRR, 2024

Explicit Folded Reed-Solomon and Multiplicity Codes Achieve Relaxed Generalized Singleton Bound.
CoRR, 2024

2023
Range Avoidance, Remote Point, and Hard Partial Truth Tables via Satisfying-Pairs Algorithms.
Electron. Colloquium Comput. Complex., 2023

Range Avoidance, Remote Point, and Hard Partial Truth Table via Satisfying-Pairs Algorithms.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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