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H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in Case of Beijing
Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
[Paper][Code][Download]
@inproceedings{zhao2022h4m, title={{H4M}: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in Case of Beijing}, author={Zhao, Yaping and Shi, Shuhui and Ravi, Ramgopal and Wang, Zhongrui and Lam, Edmund Y and Zhao, Jichang}, booktitle={IEEE International Conference on Data Science and Advanced Analytics}, year={2022}, organization={IEEE} }

Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao,
[Paper][Code]
@ARTICLE{zhou2024, author={Zhou, Bodong and Liu, Jiahui and Cui, Songyi and Zhao, Yaping}, journal={Big Data Mining and Analytics}, title={A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction}, year={2024}, keywords={spatio-temporal;traffic prediction;multimodal fusion;learning representation}, doi={10.26599/BDMA.2024.9020020}}

A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction
Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao
[Paper]
@INPROCEEDINGS{zhou2022traffic, author={Zhou, Bodong and Liu, Jiahui and Cui, Songyi and Zhao, Yaping}, booktitle={IEEE International Conference on Data Science and Advanced Analytics (DSAA)}, title={Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping}, year={2022}, volume={}, number={}, pages={1-9}, doi={10.1109/DSAA54385.2022.10032443} }

House Price Prediction: A Multi-Source Data Fusion Perspective
Yaping Zhao, Jichang Zhao, Edmund Y. Lam
[Paper][Code]
@ARTICLE{zhao2024, author={Zhao, Yaping and Zhao, Jichang and Lam, Edmund Y.}, journal={Big Data Mining and Analytics}, title={House Price Prediction: A Multi-Source Data Fusion Perspective}, year={2024}, keywords={price prediction;real estate;data mining;machine learning}, doi={10.26599/BDMA.2024.9020019}}

PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Yaping Zhao, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
[Paper][Code]
@inproceedings{zhao2022pate, title={{PATE}: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction}, author={Zhao, Yaping and Ravi, Ramgopal and Shi, Shuhui and Wang, Zhongrui and Lam, Edmund Y and Zhao, Jichang}, booktitle={IEEE International Conference on Data Science and Advanced Analytics}, year={2022}, organization={IEEE} }