Search Results for author: Sijie Ruan

Found 4 papers, 2 papers with code

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

no code implementations5 Nov 2023 Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li

To address this issue, we first present a novel Increment training strategy: instead of masking nodes (and reconstructing them), we add virtual nodes into the training graph so as to mitigate the graph gap issue naturally.

Fine-Grained Urban Flow Inference

1 code implementation5 Feb 2020 Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum

To tackle these issues, we develop a model entitled UrbanFM which consists of two major parts: 1) an inference network to generate fine-grained flow distributions from coarse-grained inputs that uses a feature extraction module and a novel distributional upsampling module; 2) a general fusion subnet to further boost the performance by considering the influence of different external factors.

Fine-Grained Urban Flow Inference

UrbanFM: Inferring Fine-Grained Urban Flows

1 code implementation6 Feb 2019 Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng

In this paper, we aim to infer the real-time and fine-grained crowd flows throughout a city based on coarse-grained observations.

Fine-Grained Urban Flow Inference

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