- 🔭 I am a graduate student at the School of Computer Science and Engineering, Beihang University, Beijing, China (UTC+8).
- 🌱 My current research interests primarily focus on spatio-temporal data mining and reinforcement learning, with a goal of simulating real-world human mobility.
- ❤️ Our paper titled Continuous Trajectory Generation Based on Two-Stage GAN has been accepted for the 37th AAAI Conference on Artificial Intelligence AAAI 2023 conference (CCF A), (Acceptance rate is 19.6%). Paper, Code.
- 💪 I am one of the founding members of the LibCity open-source project, a comprehensive library of deep learning algorithms for spatio-temporal prediction in urban environments. Our goal is to facilitate the development and credible evaluation of deep learning algorithms of spatio-temporal prediction in urban cities, including traffic speed, trajectory location, and on-demand service. Our team published a demo paper on the project at ACM SIGSPATIAL 2021. Welcome to our Repository, Paper, and HomePage for more details.
- ⚡ Welcome to check out my Zhihu Homepage, learn more about my interests and expertise. These Articles are written in Chinese.
- 📫 Reach me by: [email protected]
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Focusing
I am a graduate student at Beihang University, with a focus on research in the fields of spatio-temporal data mining and reinforcement learning.
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Beihang University
- Beijing, China
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BIGSCity-MINT
BIGSCity-MINT PublicMINT: Multi-Agent Interactive Reinforcement Learning for Trajectory Generation
Python 1
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TS-TrajGen
TS-TrajGen PublicContinuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.
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LibCity/Bigscity-LibCity
LibCity/Bigscity-LibCity PublicLibCity: An Open Library for Urban Spatial-temporal Data Mining
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LibCity/Bigscity-LibCity-PaperList
LibCity/Bigscity-LibCity-PaperList PublicPaper list in traffic prediction field
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LibCity/Bigscity-LibCity-Datasets
LibCity/Bigscity-LibCity-Datasets PublicTraffic data processing tools in LibCity
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