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_posts/2020-11-08-archived-news.md

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 modified: 2022-Nov-13
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-- July, 2024: I presented "Anomalies in metro passenger demand are predictable -- learning causality with ABTransformer" at [TransitData 2024](https://www.ucl.ac.uk/civil-environmental-geomatic-engineering/research/transit-data-2024-9th-international-workshop-and-symposium-research-and-applications-use), London. [[Slides]](assets\files\TransitData-24_ABTransformer.pdf)
+- July, 2024: I presented "Anomalies in metro passenger demand are predictable -- learning causality with ABTransformer" at [TransitData 2024](https://www.ucl.ac.uk/civil-environmental-geomatic-engineering/research/transit-data-2024-9th-international-workshop-and-symposium-research-and-applications-use), London. [[Slides]](assets\files\TransitData-24_ABTransformer.pdf) [[Preprint]](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4915558) [[Code]](https://github.com/chengzhanhong/abnormal_metro_demand_predictable)
 - June, 2024: Our paper "[Laplacian convolutional representation for traffic time series imputation](https://doi.org/10.1109/TKDE.2024.3419698)" (authors: [Xinyu Chen](https://xinychen.github.io/), **Zhanhong Cheng**, HanQin Cai, Nicolas Saunier, Lijun Sun) was accepted by IEEE Transactions on Knowledge and Data Engineering. [[Slides]](https://xinychen.github.io/slides/LCR24.pdf) [[Code]](https://github.com/xinychen/LCR)
 - May, 2024. Our paper "[Traffic state estimation from vehicle trajectories with anisotropic Gaussian processes](https://www.sciencedirect.com/science/article/pii/S0968090X24001670)" was accepted by Transportation Research Part C: Emerging Technologies!
 - 2024-01-10. I attended the 103rd Transportation Research Board Annual Meeting (TRB2024) in Washington D.C., USA. My collaborators and I presented our work in three poster/presentation sessions.

index.md

@@ -16,7 +16,7 @@ My research focuses on developing data-driven and knowledge-driven solutions for
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 ## News
-- July, 2024: I presented "Anomalies in metro passenger demand are predictable -- learning causality with ABTransformer" at [TransitData 2024](https://www.ucl.ac.uk/civil-environmental-geomatic-engineering/research/transit-data-2024-9th-international-workshop-and-symposium-research-and-applications-use), London. [[Slides]](assets\files\TransitData-24_ABTransformer.pdf)
+- July, 2024: I presented "Anomalies in metro passenger demand are predictable -- learning causality with ABTransformer" at [TransitData 2024](https://www.ucl.ac.uk/civil-environmental-geomatic-engineering/research/transit-data-2024-9th-international-workshop-and-symposium-research-and-applications-use), London. [[Slides]](assets\files\TransitData-24_ABTransformer.pdf) [[Preprint]](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4915558) [[Code]](https://github.com/chengzhanhong/abnormal_metro_demand_predictable)
 - June, 2024: Our paper "[Laplacian convolutional representation for traffic time series imputation](https://doi.org/10.1109/TKDE.2024.3419698)" (authors: [Xinyu Chen](https://xinychen.github.io/), **Zhanhong Cheng**, HanQin Cai, Nicolas Saunier, Lijun Sun) was accepted by IEEE Transactions on Knowledge and Data Engineering. [[Slides]](https://xinychen.github.io/slides/LCR24.pdf) [[Code]](https://github.com/xinychen/LCR)
 - May, 2024: Our paper "[Traffic state estimation from vehicle trajectories with anisotropic Gaussian processes](https://www.sciencedirect.com/science/article/pii/S0968090X24001670)" was accepted by Transportation Research Part C: Emerging Technologies!
 - 2024-01-10. I attended the 103rd Transportation Research Board Annual Meeting (TRB2024) in Washington D.C., USA. My collaborators and I presented our work in three poster/presentation sessions.