- π€ I am Jiawei Jiang, a graduate student at the School of Computer Science and Engineering, Beihang University, China (UTC 8).
- π‘ I am also a member of Baidu PaddlePaddle Developers Experts (PPDE), a reviewer of IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) and IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).
- π± My research interests include Spatial-Temporal Data Mining, Graph Neural Networks, and Representation Learning.
- πͺ I am the core developer of LibCity, an open-source library for Urban Spatial-temporal Data Mining. The paper LibCity: An Open Library for Traffic Prediction has been accepted for the 29th [ACM SIGSPATIAL 2021] conference. Welcome to our [Code], [Paper], and [Website] for more details. We also publish a full paper titled LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction, which provides more details. Statistics:
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- πͺ We publish a paper titled Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark], including (1) a Unified Storage Format for urban spatial-temporal data, (2) a Technical Development Roadmap for urban spatial-temporal prediction models, (3) Extensive Experiments and Performance Evaluation using 18 models and 20 datasets. [Paper].
- π Our paper titled Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics has been accepted for the 39th IEEE International Conference on Data Engineering [ICDE 2023] conference (CCF A). [Paper], [Code]. Rank: 1/ 6.
- π Our paper titled PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction has been accepted for the 37th AAAI Conference on Artificial Intelligence [AAAI 2023] conference (CCF A). [Paper], [Code]. Rank: 1/ 4.
- π We rank 11th in the Regular track of the Baidu KDD Cup 2022 for Spatial Dynamic Wind Power Forecasting Challenge. The paper has been accepted for [ACM SIGKDD Workshop 2022] conference. [Paper] [Code].
- π We rank 6th in the ACM RecSys Challenge 2023 for Advertising Installation Prediction Challenge. [Paper], [Code].
- π We rank 3th in the iFLYTEK A.I. Developer Competition 2022 for Urban Road Traffic Flow Forecasting Challenge. [Code].
- β‘ Languages and environments: Python, Pytorch.
- π Pronouns: He/Him/His.
- π Link to my Google Scholar and Blog.
- π« Reach me by email: [email protected].
Graduate student of Beihang University, research interests include Spatio-Temporal Data Mining, Graph Neural Network, and Representation Learning.
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Beihang University(BUAA)
- Beijing China
- [email protected]
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Traffic-Prediction-Open-Code-Summary
Traffic-Prediction-Open-Code-Summary PublicSummary of open source code for deep learning models in the field of traffic prediction
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LibCity/Bigscity-LibCity
LibCity/Bigscity-LibCity PublicLibCity: An Open Library for Urban Spatial-temporal Data Mining
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BUAABIGSCity/KDDCUP2022
BUAABIGSCity/KDDCUP2022 Public[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
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BUAABIGSCity/PDFormer
BUAABIGSCity/PDFormer Public[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
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Recsys-Challenge-2023
Recsys-Challenge-2023 Public[ACM Resys Challenge 2023] 6th place solution of Online Ad Installation Forecasting in ACM Resys Challenge 2023
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