Te-Yuan Huang
Computer Networks and Communications · 2012–2014
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 18 citations into it; #7,748 of 9,886 by trust here, #4,405 by citations
- Computer Vision and Pattern Recognition — 15 citations into it; #17,482 of 21,575 by trust here, #13,269 by citations
Whom Te-Yuan Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Te-Yuan Huang overall
- Feng Qian
- Hongzi Mao
- Zahaib Akhtar
- Bo Han
- Yi Sun
- Francis Y. Yan
- Ravi Netravali
- Xiaoqi Yin
- Vijay Gopalakrishnan
- Yun Seong Nam
Papers from Te-Yuan Huang's perspective
Ordered by how strongly the researchers Te-Yuan Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP (ACM SIGMM Conference on Multimedia Systems)
- Youtube traffic characterization: a view from the edge (ACM/SIGCOMM Internet Measurement Conference)
- Understanding the impact of video quality on user engagement (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- QDASH: a QoE-aware DASH system (ACM SIGMM Conference on Multimedia Systems)
- Towards agile and smooth video adaptation in dynamic HTTP streaming (Conference on Emerging Network Experiment and Technology)
- Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (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)
- Developing a predictive model of quality of experience for internet video (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)
- Unreeling netflix: Understanding and improving multi-CDN movie delivery (2012 Proceedings IEEE INFOCOM)
Their papers
- A buffer-based approach to rate adaptation (2014) — 666 citations
- A buffer-based approach to rate adaptation (2014) — 613 citations
- Confused, timid, and unstable: picking a video streaming rate is hard (2012) — 375 citations