Baochun Li
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Information Systems — 13 citations into it
- Computer Networks and Communications — 9 citations into it; #4,230 of 9,886 by trust here, #3,993 by citations
- Efficiency & Compression — 5 citations into it
Whom Baochun Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Ho
- Qian Wang
- Christos Gkantsidis
- Yan Zhu
- Hovav Shacham
- Muriel Médard
- Giuseppe Ateniese
- Ralf Koetter
- Rampal Singh
- Kui Ren
Who trusts Baochun Li overall
Papers from Baochun Li's perspective
Ordered by how strongly the researchers Baochun Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Scalable and efficient provable data possession (IACR Cryptology ePrint Archive)
- Reinforcement Learning: An Introduction
- Pors: proofs of retrievability for large files (Conference on Computer and Communications Security)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing
- Network information flow (IEEE Transactions on Information Theory)
- Dynamic provable data possession (IACR Cryptology ePrint Archive)
- The benefits of coding over routing in a randomized setting (IEEE International Symposium on Information Theory. Proceedings)
- Compact Proofs of Retrievability (Journal of Cryptology)
- Enabling Public Verifiability and Data Dynamics for Storage Security in Cloud Computing (European Symposium on Research in Computer Security)
Their papers
- How Practical is Network Coding? (2006) — 1,256 citations
- Optimizing Federated Learning on Non-IID Data with Reinforcement Learning (2020) — 1,034 citations
- Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud (2015) — 440 citations