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Bei Jia

dblp:119/3291 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › phylogenetics › computational phylogenetics
perfect phylogeny
0.312018
Efficient Projection onto the Perfect Phylogeny Model · NeurIPS 2018
Bioinformatics and computational biology
phylogenetics
0.312018
Efficient Projection onto the Perfect Phylogeny Model · NeurIPS 2018
Bioinformatics and computational biology › phylogenetics
phylogenetic inference
0.312018
Efficient Projection onto the Perfect Phylogeny Model · NeurIPS 2018

Methods — techniques the papers use, named apart from their topics

tree reduction · 0.3proximal operator · 0.3moreau's decomposition · 0.3
YearPublicationVenuePosition
2018 Efficient Projection onto the Perfect Phylogeny Model
abstract
Several algorithms build on the perfect phylogeny model to infer evolutionary trees. This problem is particularly hard when evolutionary trees are inferred from the fraction of genomes that have mutations in different positions, across different samples. Existing algorithms might do extensive searches over the space of possible trees. At the center of these algorithms is a projection problem that assigns a fitness cost to phylogenetic trees. In order to perform a wide search over the space of the trees, it is critical to solve this projection problem fast. In this paper, we use Moreau's decomposition for proximal operators, and a tree reduction scheme, to develop a new algorithm to compute this projection. Our algorithm terminates with an exact solution in a finite number of steps, and is extremely fast. In particular, it can search over all evolutionary trees with fewer than 11 nodes, a size relevant for several biological problems (more than 2 billion trees) in about 2 hours.
Bei Jia, Surjyendu Ray, Sam Safavi, José Bento 0001
NeurIPS1
2014 Mobile Relay Station with Radiation Pattern Reconfigurable Antenna
abstract
In this paper, a new radiation pattern reconfigurable antenna is designed for mobile relay station (MRS) on vehicles to increase the link reliability and system flexibility in mobility. With only a single radio frequency (RF) chain, various beam patterns can be formed and selected electronically in a simple way. The design and corresponding beam switching mechanism are demonstrated through an experimental prototype with improved SINR performance, particularly at the cell boundary. Furthermore, its advantage in handover is confirmed through numerical simulations. The handover success rate increases significantly in high speed mobility.
Wei Wang 0020, Shaowei Liao, Gang Shen 0001, Bei Jia
VTC Spring6
2013 Enhanced Cooperative Relaying Transmission for LTE-Advanced System
abstract
Relay has been identified as a fundamental feature in LTE-Advanced in order to achieve LTE-A requirements. The conventional straightforward relaying scheme named decode-and-forward (DF) protocol is used at relay station (RS) to decode the data received from mobile station (MS) and forward the decoded data to the base station (BS) to improve the spatial diversity gain. It is not efficient and optimal since the traditional DF scheme has not considered the unequal bit reliability within each QAM symbols. In this paper, a bit rearrangement technique is used at RS to improve the performance of the cooperative relaying system, in which the bit remapping employed at RS is different from the one used at MS. At BS, the soft information combining technique with maximum a posteriori (MAP) is used to demodulate the data before turbo decoding. Simulation results show that the proposed cooperative transmission scheme obtains a significant performance gain in terms of block error rate (BLER) compared to the traditional DF relaying scheme.
Chaojun Xu, Zhilan Xiong, Bei Jia
VTC Fall6