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Junwei Liang

4 papers hereh-index 4160 citations4 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.RO1
same name
  • Junwei Liang — 22 papers, h 10
  • Junwei Liang — 13 papers, h 16
  • Junwei Liang — 12 papers, h 5
  • Junwei Liang — 4 papers, h 2
  • Junwei Liang — 3 papers, h 6
  • Junwei Liang — 2 papers, h 1

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

most citedPatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

25 citations · 27 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2024

From Cognition to Precognition: A Future-Aware Framework for Social Navigation

Zeying Gong, Tianshuai Hu, Ronghe Qiu +1

To navigate safely and efficiently in crowded spaces, robots should not only perceive the current state of the environment but also anticipate future human movements. In this paper…

cs.CV2024★ 1 cited

VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting

Yujin Tang, Peijie Dong, Zhenheng Tang +2

Combining CNNs or ViTs, with RNNs for spatiotemporal forecasting, has yielded unparalleled results in predicting temporal and spatial dynamics. However, modeling extensive global i…

cs.LG2023★ 1 cited

PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting

Yujin Tang, Jiaming Zhou, Xiang Pan +2

Accurate precipitation forecasting is a vital challenge of societal importance. Though data-driven approaches have emerged as a widely used solution, solely relying on data-driven…

cs.LG2023★ 25 cited

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

Zeying Gong, Yujin Tang, Junwei Liang

Although the Transformer has been the dominant architecture for time series forecasting tasks in recent years, a fundamental challenge remains: the permutation-invariant self-atten…

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