H
Haitao Lin
Researcher at Westlake University
Publications - 12
Citations - 49
Haitao Lin is an academic researcher from Westlake University. The author has contributed to research in topics: Graph (abstract data type) & Computer science. The author has an hindex of 3, co-authored 12 publications receiving 23 citations.
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Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive.
TL;DR: Recently, self-supervised learning (SSL) is emerging as a new paradigm for extracting informative knowledge through well-designed pretext tasks without relying on manual labels as mentioned in this paper, which can be classified into three categories: contrastive, generative, and predictive.
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Self-supervised on Graphs: Contrastive, Generative, or Predictive.
TL;DR: Self-supervised learning (SSL) is emerging as a new paradigm for extracting informative knowledge through well-designed pretext tasks without relying on manual labels as mentioned in this paper, however, precise annotations are generally very expensive and time-consuming.
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Conditional Local Convolution for Spatio-temporal Meteorological Forecasting.
TL;DR: In this paper, a conditional local convolution whose shared kernel on nodes' local space is approximated by feedforward networks, with local representations of coordinate obtained by horizon maps into cylindrical-tangent space as its input, is proposed to capture the local spatial patterns.
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Clustering Based on Graph of Density Topology.
TL;DR: Evaluation results on both toy and real-world datasets show that GDT achieves the SOTA performance by far on almost all the popular datasets, and has a low time complexity of O(nlogn).
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Invertible Manifold Learning for Dimension Reduction
TL;DR: The proposed invertible manifold learning (inv-ML) achieves better invertable NLDR in comparison with typical existing methods but also reveals the characteristics of the learned manifolds through linear interpolation in latent space.