Search Results for author: Xinglin Piao

Found 6 papers, 2 papers with code

BjTT: A Large-scale Multimodal Dataset for Traffic Prediction

2 code implementations8 Mar 2024 Chengyang Zhang, Yong Zhang, Qitan Shao, Jiangtao Feng, Bo Li, Yisheng Lv, Xinglin Piao, BaoCai Yin

The key challenge of the TTG task is how to associate text with the spatial structure of the road network and traffic data for generating traffic situations.

Traffic Prediction

ChatTraffic: Text-to-Traffic Generation via Diffusion Model

1 code implementation27 Nov 2023 Chengyang Zhang, Yong Zhang, Qitan Shao, Bo Li, Yisheng Lv, Xinglin Piao, BaoCai Yin

The key challenge of the TTG task is how to associate text with the spatial structure of the road network and traffic data for generating traffic situations.

Traffic Prediction

Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks

no code implementations IEEE Transactions on Intelligent Transportation Systems 2021 Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, BaoCai Yin

Metro passenger flow prediction is a strategically necessary demand in an intelligent transportation system to alleviate traffic pressure, coordinate operation schedules, and plan future constructions.

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering

no code implementations CVPR 2019 Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

In this paper, we propose a new low rank model for high-dimension data clustering task on Grassmann manifold based on the Double Nuclear norm which is used to better approximate the rank minimization of matrix.

Clustering

Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition

no code implementations7 Jan 2016 Xinglin Piao, Yongli Hu, Yanfeng Sun, Junbin Gao, Bao-Cai Yin

In a sparse representation based recognition scheme, it is critical to learn a desired dictionary, aiming both good representational power and discriminative performance.

Dictionary Learning

Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data

no code implementations2 Jan 2016 Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Zhouchen Lin, Bao-Cai Yin

A new submodule clustering method via sparse and low-rank representation for multi-way data is proposed in this paper.

Clustering

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