Jibin Zhan
Artificial Intelligence · 2005–2018
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
Whom Jibin Zhan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Fearnhead (in Artificial Intelligence)
Papers from Jibin Zhan's perspective
Ordered by how strongly the researchers Jibin Zhan trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding the impact of video quality on user engagement (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs (ACM/SIGCOMM Internet Measurement Conference)
- Developing a predictive model of quality of experience for internet video (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (Conference on Emerging Network Experiment and Technology)
- A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP (Computer communication review)
- Youtube traffic characterization: a view from the edge (ACM/SIGCOMM Internet Measurement Conference)
- Understanding BGP misconfiguration (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Towards agile and smooth video adaptation in dynamic HTTP streaming (Conference on Emerging Network Experiment and Technology)
- What happens when HTTP adaptive streaming players compete for bandwidth? (International Workshop on Network and Operating System Support for Digital Audio and Video)
- Tussle in cyberspace: defining tomorrow's Internet (IEEE/ACM Transactions on Networking)
Their papers
- A clean slate 4D approach to network control and management (2005) — 731 citations
- Oboe: auto-tuning video ABR algorithms to network conditions (2018) — 353 citations
- Understanding the impact of video quality on user engagement (2011) — 871 citations