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researcher

B. Yang

27 papers hereh-index 516.7k citations182 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author14
  • last author12

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.CV4
  • cs.DB2
  • cs.SI1
  • eess.IV1
  • stat.ML1
same name
  • B. Yang — 19 papers, h 21
  • B. Yang — 18 papers, h 3
  • B. Yang — 11 papers, h 32
  • B. Yang — 8 papers, h 9
  • B. Yang — 6 papers, h 23
  • B. Yang — 6 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedTriformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

18 citations · 71 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023★ 2 cited

LightPath: Lightweight and Scalable Path Representation Learning

Sean Bin Yang, Jilin Hu, Chenjuan Guo +2

Movement paths are used widely in intelligent transportation and smart city applications. To serve such applications, path representation learning aims to provide compact represent…

cs.CV2023★ 6 cited

MaxSR: Image Super-Resolution Using Improved MaxViT

Bincheng Yang, Gangshan Wu

While transformer models have been demonstrated to be effective for natural language processing tasks and high-level vision tasks, only a few attempts have been made to use powerfu…

cs.LG2023

Origin-Destination Travel Time Oracle for Map-based Services

Yan Lin, Huaiyu Wan, Jilin Hu +4

Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from…

cs.LG2023

Weight Compander: A Simple Weight Reparameterization for Regularization

Rinor Cakaj, Jens Mehnert, Bin Yang

Regularization is a set of techniques that are used to improve the generalization ability of deep neural networks. In this paper, we introduce weight compander (WC), a novel effect…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.