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Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Starstruckx2Achievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

Organizations

@LibCity@BUAABIGSCity

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aptx1231/README.md

Hi, welcome to my profile 👋

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  • 🤔 I am Jiawei Jiang, a graduate student at the School of Computer Science and Engineering, Beihang University, China (UTC+8).
  • 💡 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).
  • 🌱 My research interests include Spatial-Temporal Data Mining, Graph Neural Networks, and Representation Learning.
  • 💪 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: LibCityfork.
  • 💪 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].
  • 🚀 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.
  • 🚀 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.
  • 🎉 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].
  • 🎉 We rank 6th in the ACM RecSys Challenge 2023 for Advertising Installation Prediction Challenge. [Paper], [Code].
  • 🎉 We rank 3th in the iFLYTEK A.I. Developer Competition 2022 for Urban Road Traffic Flow Forecasting Challenge. [Code].
  • ⚡ Languages and environments: Python, Pytorch.
  • 😇 Pronouns: He/Him/His.
  • 🎓 Link to my Google Scholar and Blog.
  • 📫 Reach me by email: jwjiang@buaa.edu.cn.

Pinned Loading

  1. Traffic-Prediction-Open-Code-SummaryTraffic-Prediction-Open-Code-SummaryPublic

    Summary of open source code for deep learning models in the field of traffic prediction

    281 59

  2. LibCity/Bigscity-LibCityLibCity/Bigscity-LibCityPublic

    LibCity: An Open Library for Urban Spatial-temporal Data Mining

    Python 1.2k 193

  3. BUAABIGSCity/KDDCUP2022BUAABIGSCity/KDDCUP2022Public

    [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

    Python 68 19

  4. STARTSTARTPublic

    [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).

    Python 96 22

  5. BUAABIGSCity/PDFormerBUAABIGSCity/PDFormerPublic

    [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

    Python 302 46

  6. Recsys-Challenge-2023Recsys-Challenge-2023Public

    [ACM Resys Challenge 2023] 6th place solution of Online Ad Installation Forecasting in ACM Resys Challenge 2023

    Python 3 2