- 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: .
- 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: jwjiang@buaa.edu.cn.
Graduate student of Beihang University, research interests include Spatio-Temporal Data Mining, Graph Neural Network, and Representation Learning.
-
Beihang University(BUAA)
- Beijing China
- jwjiang@buaa.edu.cn
Pinned Loading
-
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
-
LibCity/Bigscity-LibCity
LibCity/Bigscity-LibCity PublicLibCity: An Open Library for Urban Spatial-temporal Data Mining
-
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
-
BUAABIGSCity/PDFormer
BUAABIGSCity/PDFormer Public[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
-
Recsys-Challenge-2023
Recsys-Challenge-2023 Public[ACM Resys Challenge 2023] 6th place solution of Online Ad Installation Forecasting in ACM Resys Challenge 2023
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.